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312-85 Certified Threat Intelligence Analyst (C|TIA) information hunger |

312-85 information hunger - Certified Threat Intelligence Analyst (C|TIA) Updated: 2024

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Exam Code: 312-85 Certified Threat Intelligence Analyst (C|TIA) information hunger January 2024 by team
Certified Threat Intelligence Analyst (C|TIA)
EC-COUNCIL Intelligence information hunger

Other EC-COUNCIL exams

312-38 EC-Council Certified Network Defender
312-49 Computer Hacking Forensic Investigator
312-76 EC-Council Disaster Recovery Professional (EDRP)
312-92 EC-Council Certified Secure Programmer v2 (CSP)
412-79 EC-Council Certified Security Analyst (ECSA V9)
712-50 EC-Council Certified CISO (CCISO)
EC0-349 Computer Hacking Forensic Investigator
EC0-479 EC-Council Certified Security Analyst (ECSA)
EC1-350 Ethical Hacking and Countermeasures V7
ECSS EC-Council Certified Security Specialist
ECSAv10 EC-Council Certified Security Analyst
212-89 EC-Council Certified Incident Handler (ECIH v2)
312-50v11 Certified Ethical Hacker v11
412-79v10 Certified Security Analyst (ECSA) V10
312-50v12 Certified Ethical Hacker exam (CEHv12)
312-49v10 Computer Hacking Forensic Investigator (CHFI-v10)
312-96 Certified Application Security Engineer (C|ASE Java) Certification
312-85 Certified Threat Intelligence Analyst (C|TIA)
312-39 EC-Council Certified SOC Analyst (CSA) certification
512-50 Information Security Manager (E|ISM)

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Question: 1
Build a work breakdown structure (WBS)
A. 1-->9-->2-->8-->3-->7-->4-->6-->5
B. 3-->4-->5-->2-->1-->9-->8-->7-->6
C. 1-->2-->3-->4-->5-->6-->9-->8-->7
D. 1-->2-->3-->4-->5-->6-->7-->8-->9
Answer: A
Question: 2
SecurityTech Inc. is developing a TI plan where it can drive more advantages in less funds. In the process of selecting
a TI platform, it wants to incorporate a feature that ranks elements such as intelligence sources, threat actors, attacks,
and digital assets of the organization, so that it can put in more funds toward the resources which are critical for the
organizationâs security.
Which of the following key features should SecurityTech Inc. consider in their TI plan for selecting the TI platform?
A. Search
B. Open
C. Workflow
D. Scoring
Answer: D
Question: 3
Henry. a threat intelligence analyst at ABC Inc., is working on a threat intelligence program. He was assigned to work
on establishing criteria for prioritization of intelligence needs and requirements.
Which of the following considerations must be employed by Henry to prioritize intelligence requirements?
A. Understand frequency and impact of a threat
B. Understand data reliability
C. Develop a collection plan
D. Produce actionable data
Answer: A
Question: 4
Tim is working as an analyst in an ABC organization. His organization had been facing many challenges in converting
the raw threat intelligence data into meaningful contextual information. After inspection, he found that it was due to
noise obtained from misrepresentation of data from huge data collections. Hence, it is important to clean the data
before performing data analysis using techniques such as data reduction. He needs to choose an appropriate threat
intelligence framework that automatically performs data collection, filtering, and analysis for his organization.
Which of the following threat intelligence frameworks should he choose to perform such task?
A. HighCharts
C. Threat grid
D. TC complete
Answer: D
Question: 5
Karry, a threat analyst at an XYZ organization, is performing threat intelligence analysis. During the data collection
phase, he used a data collection method that involves no participants and is purely based on analysis and observation
of activities and processes going on within the local boundaries of the organization.
Identify the type data collection method used by the Karry.
A. Active data collection
B. Passive data collection
C. Exploited data collection
D. Raw data collection
Answer: B
Question: 6
During the process of threat intelligence analysis, John, a threat analyst, successfully extracted an indication of
adversaryâs information, such as Modus operandi, tools, communication channels, and forensics evasion strategies
used by adversaries.
Identify the type of threat intelligence analysis is performed by John.
A. Operational threat intelligence analysis
B. Technical threat intelligence analysis
C. Strategic threat intelligence analysis
D. Tactical threat intelligence analysis
Answer: D
Question: 7
John, a professional hacker, is trying to perform APT attack on the target organization network. He gains access to a
single system of a target organization and tries to obtain administrative login credentials to gain further access to the
systems in the network using various techniques.
What phase of the advanced persistent threat lifecycle is John currently in?
A. Initial intrusion
B. Search and exfiltration
C. Expansion
D. Persistence
Answer: C
Question: 8
An attacker instructs bots to use camouflage mechanism to hide his phishing and malware delivery locations in the
rapidly changing network of compromised bots. In this particular technique, a single domain name consists of multiple
IP addresses.
Which of the following technique is used by the attacker?
A. DNS zone transfer
B. Dynamic DNS
C. DNS interrogation
D. Fast-Flux DNS
Answer: D
Question: 9
Mr. Bob, a threat analyst, is performing analysis of competing hypotheses (ACH). He has reached to a stage where he
is required to apply his analysis skills effectively to reject as many hypotheses and select the best hypotheses from the
identified bunch of hypotheses, and this is done with the help of listed evidence. Then, he prepares a matrix where all
the screened hypotheses are placed on the top, and the listed evidence for the hypotheses are placed at the bottom.
What stage of ACH is Bob currently in?
A. Diagnostics
B. Evidence
C. Inconsistency
D. Refinement
Answer: A
Question: 10
Which of the following types of threat attribution deals with the identification of the specific person, society, or a
country sponsoring a well-planned and executed intrusion or attack over its target?
A. Nation-state attribution
B. True attribution
C. Campaign attribution
D. Intrusion-set attribution
Answer: B
Question: 11
Joe works as a threat intelligence analyst with Xsecurity Inc. He is assessing the TI program by comparing the project
results with the original objectives by reviewing project charter. He is also reviewing the list of expected deliverables
to ensure that each of those is delivered to an acceptable level of quality.
Identify the activity that Joe is performing to assess a TI programâs success or failure.
A. Determining the fulfillment of stakeholders
B. Identifying areas of further improvement
C. Determining the costs and benefits associated with the program
D. Conducting a gap analysis
Answer: D
Question: 12
Jame, a professional hacker, is trying to hack the confidential information of a target organization. He identified the
vulnerabilities in the target system and created a tailored deliverable malicious payload using an exploit and a
backdoor to send it to the victim.
Which of the following phases of cyber kill chain methodology is Jame executing?
A. Reconnaissance
B. Installation
C. Weaponization
D. Exploitation
Answer: C
Question: 13
Michael, a threat analyst, works in an organization named TechTop, was asked to conduct a cyber-threat intelligence
analysis. After obtaining information regarding threats, he has started analyzing the information and understanding the
nature of the threats.
What stage of the cyber-threat intelligence is Michael currently in?
A. Unknown unknowns
B. Unknowns unknown
C. Known unknowns
D. Known knowns
Answer: C
Question: 14
Miley, an analyst, wants to reduce the amount of collected data and make the storing and sharing process easy. She
uses filtering, tagging, and queuing technique to sort out the relevant and structured data from the large amounts of
unstructured data.
Which of the following techniques was employed by Miley?
A. Sandboxing
B. Normalization
C. Data visualization
D. Convenience sampling
Answer: B
Question: 15
Steve works as an analyst in a UK-based firm. He was asked to perform network monitoring to find any evidence of
compromise. During the network monitoring, he came to know that there are multiple logins from different locations
in a short time span. Moreover, he also observed certain irregular log in patterns from locations where the organization
does not have business relations. This resembles that somebody is trying to steal confidential information.
Which of the following key indicators of compromise does this scenario present?
A. Unusual outbound network traffic
B. Unexpected patching of systems
C. Unusual activity through privileged user account
D. Geographical anomalies
Answer: D

EC-COUNCIL Intelligence information hunger - BingNews Search results EC-COUNCIL Intelligence information hunger - BingNews EC-Council

EC-Council invented the Certified Ethical Hacker program. Founded in 2001 in response to 9/11, EC-Council's mission is to provide the training and certifications apprentice and experienced cybersecurity professionals need to keep corporations, government agencies and others who employ them safe from attack.

Best known for its Certified Ethical Hacker program, EC-Council today offers 200 different pieces of training, certificates, and degrees in everything from Computer Forensic Investigation and Security Analysis to Threat Intelligence and Information Security. An ISO/IEC 17024 Accredited Organization recognized under the US Defense Department Directive 8140/8570 and many other authoritative cybersecurity bodies worldwide, the company has certified over 3,00,000 professionals across the globe. Trusted by seven of the Fortune 10, half of the Fortune 100, and the intelligence communities of 150 nations, EC-Council is the gold standard in cybersecurity education and certification. A truly global organization with a driving belief in bringing diversity, equity and inclusion to the modern cybersecurity workforce, EC-Council maintains 11 offices in the U.S., the UK, India, Malaysia, Singapore, and Indonesia.

Mon, 21 Mar 2022 12:00:00 -0500 en-gb text/html
Food, farming, and hunger

Of the 5.9 million children who die each year, poor nutrition plays a role in at least half these deaths. That’s wrong. Hunger isn’t about too many people and too little food. It’s about power, and its roots lie in inequalities in access to resources and opportunities.

Mon, 30 Dec 2013 06:21:00 -0600 en-US text/html
EC-Council Global Services

EC-Council Global Services (EGS) is the consulting division of EC-Council, the world’s largest cybersecurity technical certification body that offers the world-famous Certified Ethical Hacker (C|EH), Certified Hacking Forensics Investigator (C|HFI) and Licensed Penetration Testing Master (LPT) programs. Operating in 145 countries worldwide, EC-Council has trained and certified hundreds of thousands of information security professionals globally and has influenced the cybersecurity mindset of countless organizations worldwide.

EGS has advisory and technical teams with years of corporate, field and consulting experience dedicated to helping organizations Protect, Detect, React and Correct against applicable cyber threats in an increasingly complex legal and regulatory environment. Cyber risks are evolving by the day and are enormous threats to most businesses around the world. Companies are facing massive risks and challenges by being either a direct target or a fallout casualty of the cyberthreat actors. The expanding attack surface and ever destructive cyberattacks are becoming a norm.

With years of experience working with the largest global enterprise and government agencies across the globe, EGS offers clients real-world insights into contextual cyber risks to defend against the continually evolving cyberthreats with experienced and specialized information security skills, solutions and methodologies.

Mon, 24 Feb 2020 10:00:00 -0600 en-gb text/html
Hunger and Livelihoods

Save the Children’s research suggests that income shortages in poorer households, when combined with shocks such as natural disasters or conflict, reinforce poor health and nutrition and thereby lead to higher rates of child deaths.

Hunger also keeps children out of school and limits their ability to concentrate once in school. Studies conducted by Save the Children indicate that learning achievement among children from poor families is systemically lower than their peers.

An increasing number of young people live in a state of poverty, unemployment and/or underemployment. Over one-fourth of young people in the world cannot find a job paying more than $1.25 per day, the international threshold of extreme poverty. Three quarters of young workers ages 15-29 are employed in the informal sector, increasing the possibility of exploitative or hazardous working conditions.

Save the Children’s Household Economy Approach (HEA) outcome analyses have found that the cycle of vulnerability due to chronic hunger and a lack of livelihoods security may lead poorer households and children to pursue unsustainable and dangerous livelihoods opportunities, to withdraw children from school, or to encourage early child marriage or harmful child labor.

Food security, livelihoods protection and strengthening, and poverty alleviation programs are an essential underpinning to ensuring the survival, education and protection of children, such that the intergenerational cycle of poverty can be broken.

To address this, Save the Children:

  • Provides food assistance to families following a natural disaster or emergency.
  • Builds household and community resilience to food security and economic shocks and stresses.
  • Strengthens socio-economic conditions to Improve standards of living and the ability of families to provide for their children.
  • Provides youth with the skills and linkages they need to earn and manage a decent income.
Tue, 01 Apr 2014 19:14:00 -0500 en text/html
Using Artificial Intelligence To Improve Business Decisions

CFO CFO of Sandline Global & author of Deep Finance, Glenn has spent the past two decades helping startups prepare for funding or acquisition.

Artificial intelligence (AI) is to business what telescopes are to star gazing—an incredible technological boost that magnifies, clarifies and illuminates business decisions. AI-enabled technology drives everything from algorithms that filter spam emails to complex systems that can drive cars without human intervention.

Advances in AI over the past decade have been nothing short of astounding. Thanks to advances in computing power and the ever-increasing data available to train models, growth in AI and machine learning (ML) has been exponential. Machines can now teach themselves to play and beat the best players in the world in skilled games like chess, Go and countless other digital strategy games. And of greater consequence, machines have even proven better than humans at detecting early-stage lung cancer.

As these tools become ever more ubiquitous, there are fewer and fewer areas where their impact has not been felt. Business is certainly no exception. An increasing number of managerial tasks can now be handled or assisted by AI-based solutions. It is incumbent on managers to evaluate and understand this new technology and how it could be incorporated across their organizations.

The business world has become increasingly digital. This has allowed for the collection of greater amounts of data than ever before. This data is the fuel that powers ML and enables companies of all sizes to lean more and more on data-driven decision-making processes. In the best run businesses, managers have found ways to collaborate with their robot counterparts to drive the greatest results.

Data-Driven Decision Making

Companies that utilize machine learning and data in their decision-making processes are able to make more confident decisions when they have data to support them. They can set logical and concrete benchmarks that enable them to track the impact of their decisions along the way. Data-driven companies are also more proactive. By using data to better understand their products, customers and operations, they can drive change in the most critical areas. These changes result in greater speed, more efficiency, lower costs and increased profits.

But there are downsides and risks to digital transformations. Great leaders cannot be replaced by circuits and software (yet). When data and predictive modeling become the norm, it could be argued that we lose touch with our human judgment and creativity. It is also important to remember that machines are not infallible. They are only as good as the software with which they are built upon or the data on which they were trained. Just as biases can influence human behavior, they can also be trained into machine learning algorithms.

One of the greatest downsides of ML is that as the algorithms become more complex (as in deep neural networks), they become increasingly difficult for humans to understand. The idea of turning over decision making to a black box that we don’t understand seems about as logical as turning our decision process over to a magic eight ball. As “drag and drop,” no-code ML tools increase in popularity, this becomes more of an issue. Would-be data scientists may rely on the wrong models to drive decisions while having no clear understanding of the models they are using, which could influence results.

It is important that we as business leaders find ways to work with these powerful tools. This means we need to do the research to understand the basics of the technology and work with our teams that collect and analyze our company’s data to understand the limits of our data and technology.

From Hunch To Hypothesis

Great business leaders possess great intuition. This cannot be replaced by a machine any more than it could be replaced with a random person off the street. We should not discount our experience and real-world understanding in our decision-making process. Human intuition provides the spark of an idea. Data then can be used to quantify and track that decision. Think of data-driven decision making as using the scientific method to justify and drive corporate decisions.

Becoming A Data-Driven Company

The first step to becoming a data-driven organization is to collect, compile and assess the available data. Most of this data will come from the company’s internal systems such as CRMs, ERPs, accounting software, website analytics and project management tools. Other data may come from external sources such as social media, economic reports and other market information.

Dash DASH boards and consolidated visual metrics designed for employees across all departments provide timely information in an easily digestible format and can be an important first step in transitioning to a data-driven company. These dashboards are a great way to get employees used to the value of the data you’re tracking.

Once you’ve identified your available data, it’s time to start ordering and making sense of the information. Start with descriptive statistics to form a baseline understanding of your customers, products and business areas. From there you can find ways to predict future behavior by finding correlations between activities. The final step is to move to prescriptive analytics where you are using data to direct activities that influence behaviors.

Fully data-driven companies trust the process and the data they’ve collected and use it to augment their decisions. This is true from the highest levels of the organization all the way down to front-line employees. While defined metrics, KPIs and reports are great, the most advanced data-driven companies empower employees by giving them access to raw data so they can use it to formulate their own decisions. But it is important for managers to understand that in order to really drive results, they will have to make sure employees are on board all the way down the line.

While true digital transformations can be time-consuming and disruptive, the work is becoming increasingly necessary. As AI advances and becomes more available, the world will soon be split between two types of companies: those that have transformed to capitalize on the wealth of new tools that are available, and those that have not.

The data tells us which is likely to come out on top.

Forbes Finance Council is an invitation-only organization for executives in successful accounting, financial planning and wealth management firms. Do I qualify?

Mon, 20 Jun 2022 23:30:00 -0500 Glenn Hopper en text/html
artificial intelligence

Chatbots’ ease of use and ability to rapidly create human-like text, including everything from reports, essays, and recipes to computer code, ensure that the AI revolution will be a powerful tool for students at every level to Improve their capabilities and expertise. The list of apps and services is growing longer every day. But, like most powerful technologies, the use of chatbots offers challenges as well as opportunities. We need strategies to minimize the former and accentuate the latter.

It is increasingly clear that Artificial Intelligence (AI) is going to transform our lives in myriad ways, from weather prediction to military planning and in innumerable medical applications. I recently encountered first-hand a new, significant advance – the use of AI to Improve the detection of lesions during colonoscopies.

Chatbots – trainable software applications capable of conducting intelligent, informed conversations with users – have tremendous potential for vast societal benefits but also tremendous mischief. We are at the earliest stage of the learning curve.

Another view of peer review Automating the lawyers As I grow old, I jettison the unnecessary Sleep is not just for humans and other living creatures

Once, a long time ago, it seems, individuals used rules-of-thumb, fancy name heuristics to navigate transactions – social or commercial. As the scale of our interactions grew, rules-of-thumb gave way to algorithms, which were, in turn, unleashed to create new algorithms based upon artificial intelligence. Somewhere along the way, those artificially intelligent algorithms became dangerous. What is high-risk artificial intelligence? Spoiler alert – it is already upon us – welcome to our version of Skynet.

While most medical reports on artificial intelligence algorithms note how well they perform against clinical judgment, lawyers focus on the prize. Who is liable for the bad outcome, the physician or the algorithm? It makes a difference in trying to get money from deep or deeper pockets.

Until a few moments ago, I, too, had been a victim of "tl,dr." In fact, I had the disease but did not know its name. Tl,dr is an acronym to “Too long, didn’t read.” Admit it, you have suffered from the same malady, but help is on the way.

If artificial intelligence can replace some highly specialized medical doctors, is any job safe? It appears the biomedical profession is ripe for an overhaul.

As we grow more and more dependent on electronic devices to minimize even the smallest amount of physical effort, it cannot be terribly surprising that pampered Americans are turning to Alexa-controlled devices. Why? So they can become even lazier. And now Alexa has invaded the bathroom. There are even smart toilets and they listen. What could possibly go wrong?

Just like airplanes, surgeons' on-time performance can Improve patient outcomes. Can scheduling by algorithm make the operating room more efficient?

Can a predictive algorithm or electronic messaging Improve outcomes for patients with acute kidney injuries? Potentially, yes. But practically, not yet.

We've been recently reminded of one of the most significant false-positives in U.S. history, the erroneous notification to Hawaii's citizens about the "imminent attack" of ballistic missiles. When it comes to medical care, while false positives also have harmful effects on patients and practitioners, the advances in artificial intelligence may be worsening the practice of patient care.

Sun, 04 Feb 2018 20:55:00 -0600 en text/html
Information at Your Fingertips

EC&M has products that deliver powerful content to you in a variety of forms including print, online, email and social media. To subscribe to a product or manage your current subscription, click below and put the power of EC&M at your fingertips.

Wed, 03 Dec 2014 06:24:00 -0600 text/html
What Is Data Intelligence And How Can It Help Your Organization?

CEO and Co-Founder of Alation, the pioneer of the data catalog market and the leader in enterprise data intelligence solutions. 

Business intelligence (BI) is a $23 billion market and a staple of data-driven decision making. Artificial intelligence (AI) is a $21 billion market that is quickly becoming central to an effective data strategy. Yet, both of these markets rely on a category of software that you probably haven’t heard of: data intelligence.

According to market researcher IDC, data intelligence ensures that BI and AI are fueled by “trustworthy and reliable data.” In other words, data intelligence helps solve the garbage-in, garbage-out problem that causes BI and AI initiatives to stall and fail.

Data Intelligence To Fuel BI And AI

Garbage in, garbage out has always been an issue for BI. Now, the changing regulatory environment has made the issue even more pronounced. BI users not only have to worry about data quality and data accuracy, but they have to understand and adhere to policies and guidelines as well. BI’s saving grace is the human element involved. If a dashboard has inaccuracies or draws incorrect conclusions, it falls to a human to intervene — obviously not ideal, but manageable. 

Conversely, AI doesn't rely on this human element. If AI is fed incorrect or low-quality data, that human safety net isn't there to rectify the mistakes. And given the scalability AI offers, it's likely this mistake will be replicated continuously, often causing irreparable harm. For all its strengths, AI suffers exponentially from garbage in, garbage out — effectively acting more like garbage in, landfill out. 

Today, enterprises have turned to a bevy of categories to solve for the garbage in, garbage out problem, including metadata management, data quality, data governance, master data management, data profiling, data curation and data privacy. Tomorrow, they will turn to data intelligence, an amalgamation of these categories that adds a critical component: intelligence. 

The Intelligence In Data Intelligence

Amazon transformed the consumer supply chain by deeply understanding the intricacies of its marketplace, consumer trends, buying patterns, what people are searching for, inventory trends from suppliers and more. Similarly, data intelligence enables enterprises to manage their data in a much more efficient, innovative and scalable way by allowing them to understand the intricacies of their data with intelligence. That intelligence is derived from an emerging area of metadata management called active metadata.

According to Guido De Simoni, senior director, analyst research and advisory at Gartner, a global research and advisory firm, “The metadata management market made a dramatic shift beginning in 2020, and its primary focus is now active metadata.”

Active metadata is synonymous with “intelligence” when it comes to managing data. The need for active metadata was born out of the volume of data. There’s just too much data to manually manage the information, as traditional data quality, data governance, and metadata management tools would have practitioners do. Data intelligence incorporates the traditional categories of metadata management, data quality, data governance, master data management, data profiling and data privacy while incorporating intelligence derived from active metadata.

Data Intelligence Is Fundamental To Building Data Culture

A recent global study conducted by Wakefield Research and my company found that many data leaders believe their C-suite has no confidence in the data or completely disregards it. In the same study, 90% of respondents said senior executives sometimes question the data. Astoundingly, 66% of respondents also noted that their C-suite ignores data in favor of gut instinct when making decisions. 

What can we make of this contradiction? First, we can surmise that the traditional forms of data management — data quality, metadata management, and data governance — all face massive challenges in achieving success and driving organizational change. Organizations don’t just need to work harder; they need to work smarter. Data intelligence ensures that you can trust that dashboard and that algorithm, and it gives you the tools and insights to build that trust at scale. While it’s tough to break bad habits around using gut instinct, it’s impossible to do so unless you have a clear set of steps, constant reinforcement, and vigilance. Data intelligence enables organizations to build the positive feedback loop that is required to manage and drive organizational change.

How Do You Get Data Intelligence? 

As the sources and volumes of data have exploded and enterprises have taken on multiple BI tools, databases, file systems, APIs and streaming sources, data sprawl and complexity have become the norm. Consequently, few, if any, people know about all the data available within an organization. Instead, most enterprises are pockets of siloed knowledge. It’s like having a massive library with no card catalog — all anybody can see and understand is the book right in front of them. 

These silos — both data silos and knowledge silos — represent arguably the most significant challenge to implementing data intelligence. For data intelligence to be effective, it must pervade all the data that fuels decision making. If a proverbial bad apple slips through, the negative impact can quickly propagate downstream.

To ensure that data intelligence is implemented effectively, it must first be available to everyone who is working with data. Second, it must be easy to use, particularly by business users and the growing class of data users. Third, it is key that those who are responsible for curating the data actively ensure that the data is reliable and trustworthy. Finally, all data consumers should leverage the same solutions for data intelligence, or you risk creating even more siloes.

Without this formula, bad data slips through the cracks, and the “intelligence” in data intelligence is incomplete.

Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

Wed, 27 Jan 2021 22:10:00 -0600 Satyen Sangani en text/html
National Council For Artificial Intelligence Reviews Second Phase Of National AI Strategy

(MENAFN- Daily News Egypt) The National Council for Artificial Intelligence, chaired by the Minister of Communications, held Monday a meeting to review the second phase of the National AI Strategy. The meeting discussed the preparation of the strategy to keep up with the rapid developments in the field of generative artificial intelligence, especially big data models and their various applications. This comes as the first phase of the strategy is expected to be completed in May 2024.

The meeting was attended by council members and experts from various economic and technological fields. The National AI Strategy aims to use artificial intelligence technologies to support Egypt's sustainable development goals, with the second phase lasting for three years. The preparation efforts included a comparative study of the experience of developing artificial intelligence in six leading and similar countries. Moreover, an analysis of the development of national artificial intelligence was done in light of the executive status of the first phase of the national strategy.

The first phase initiatives, which used artificial intelligence techniques to address societal challenges in critical areas such as early tumor detection and diabetic retinopathy in healthcare, urban and agricultural planning decision support, and processing colloquial Egyptian Arabic, helped Egypt advance seven positions in the global AI index released by Tortoise Media.

During the meeting, Amr Talaat, Minister of Communications and Information Technology and Chairman of the National Council for Artificial Intelligence, explained that the second phase aims to Improve the national AI index through the implementation of initiatives across six key pillars: governance, environmental systems, information structure, data, human resources, and technology.

He highlighted the adoption of several priority initiatives within these pillars, such as expanding investment scope, raising public awareness of artificial intelligence, attracting investments in data centers, enabling the management of local data life cycles, continuing to develop capabilities in artificial intelligence, and building a technological platform based on the development of big data model technology.

The meeting also reviewed aspects of the second phase of the strategy related to the use of big data models in government services and the tourism, health, agriculture, industry, and information and communication technology sectors. Additionally, the council discussed the importance of establishing a specific law for artificial intelligence, especially the proposed European Commission law that adopts a three-level model for the risks of artificial intelligence systems.

The meeting touched upon the Egyptian Charter for Responsible Artificial Intelligence launched by the National Council for Artificial Intelligence in April. It is worth mentioning that the council was established in November 2019, according to a decision by Prime Minister Mostafa Madbouly, to formulate and govern the national artificial intelligence strategy. The council coordinates relevant entities to develop a unified strategy that reflects government priorities and the interests of all parties involved in the use of artificial intelligence applications. The council is also responsible for overseeing the implementation, monitoring, and updating of the strategy in line with global developments.


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Wed, 27 Dec 2023 00:07:00 -0600 Date text/html
Intelligence reading List Intelligence reading List

The intent of the Institute for Leadership & Security Studies (ILSS) Intelligence reading list is to introduce college students and young professionals to the intricacies of the intelligence profession. The ILSS Intelligence reading list was developed with input from career intelligence officers and by reviewing the reading lists developed by the National Intelligence University, USMC, CIA, U.S. Army Intelligence Center, and Small Wars Journal.

This list contains three sub-sections:
  1. Intelligence Analysis and Collection
  2. U.S. Intelligence Community
  3. History of Intelligence


The content provided on the reading lists is for educational and informational purposes. The sources of the content are cited, and the content used represents a small portion of the whole.

The use of the content, in such context and circumstance, falls under “Fair Use” pursuant of Section 107 of the Copyright Act. If you are the copyright owner and wish to have your content removed, please contact Corey Parson at 

Intelligence Analysis and Collection

Analytic Culture in the US Intelligence Community: An Ethnographic Study (2012)

Author: Johnston, Rob

ISBN-13: 978-1478351108; 182 pgs.

"As the United States debates whether intelligence failed in the run-up to both September 11 and the second Iraq war, Rob Johnston’s book is perfectly timed to provide the back-story to those headlines. His findings constitute not just a strong indictment of the way American intelligence performs analysis, but also, a guide for how to do better. Johnston finds no baseline standard analytic method."

Johnston, Rob. Analytic Culture in the US Intelligence Community: An Ethnographic Study. CreateSpace Independent Publishing Platform, 2012.

Analyzing Intelligence: National Security Practitioners' Perspectives, 2014

George, Roger Z. & Bruce, James B.

ISBN-13: 978-1626160255, 400 pgs.

"Analyzing Intelligence provides a self-critical assessment of analyst roles in the collection, evaluation, and interpretation of information on the wide spectrum of issues germane to national security. The book serves as a handbook for government analysts at all stages of their careers, and an eye-opening explanation of the process for outside observers."

George, Roger Z. and James B. Bruce. Analyzing Intelligence: National Security Practitioners' Perspectives. Georgetown University Press, 2014.

Collaborative Intelligence: Using Teams to Solve Hard Problems (2011)

Author: Hackman, J. Richard

"Intelligence professionals are commonly viewed as solo operators.  But these days intelligence work is mostly about collaboration. Interdisciplinary and even inter-organizational teams are necessary to solve the really hard problems intelligence professionals face. Hackman identifies six enabling conditions – such as establishing clear norms of conduct and providing well-timed team coaching – that increase the likelihood that teams will be effective in any setting or type of organization."

Hackman, J. Richard. Collaborative Intelligence: Using Teams to Solve Hard Problems. Berrett-Koehler Publishers, 2011.

Critical Thinking and Intelligence Analysis (2011)

Author: Moore, David T.

ISBN-13: 978-1257781805; 158 pgs.

"This National Defense Intelligence College publication defines critical thinking in the context of intelligence analysis, explains how it influences the entire intelligence process, explores how it toughens the art of intelligence analysis, suggests how it may be taught, and deduces how analysts can be persuaded to adopt this habit. This book is for anyone interested or directly involved in each of the phases of the planning, collection, processing, classification, analysis, and dissemination of collected intelligence information at whatever level." 

Moore, David T. Critical Thinking and Intelligence Analysis., 2011.

Critical Thinking for Strategic Intelligence (2016)

Authors: Hibbs-Pherson, Katherine & Pherson, Randolph H.

ISBN-13: 978-1506316888; 408 pgs.

"This book provides the "how to" formatted according to the phases of the intelligence cycle other books present conceptually. This book does an excellent job of teaching college students how to look at an issue; they figure out what is needed, find and evaluate information sources, and then put it all together in a coherent product which has facts, assumptions, implications, and conclusions."

Hibbs-Pherson, Katherine and Randolph H. Pherson. Critical Thinking for Strategic Intelligence. CQ Press, 2016.

Communicating with Intelligence: Writing and Briefing for National Security (2014)

Author: Major, James S.

ISBN-13: 978-1442226623, 430 pgs.

"Communication is the essence of intelligence. For without being communicated effectively, intelligence merely underwrites ignorance. Provides intelligence practitioners with a comprehensive and detailed handbook for effective professional communications. Provides practical guidelines along with practical exercises for each element of the communications process, from the reading of intelligence source material, to the writing of intelligence reports, to the delivery of intelligence briefings, emphasizing throughout the trustworthy dissemination of intelligence information." 

Major, James S. Communicating with Intelligence: Writing and Briefing for National Security. Rowman & Littlefield Publishers, 2014.

Intelligence Analysis: A Target-Centric Approach (2016)

Author: Clark, Robert M.

ISBN-13: 978-1506316819; 448 pgs.

"The book includes material on the intelligence cycle, collection, managing analysis and dealing with intelligence customers. Combining a practical approach to modelling with his insider perspective, Clark creates an ideal resource for students and practitioners alike."

 Clark, Robert M. Intelligence Analysis: A Target-Centric Approach. CQ Press, 2016.

Intelligence Collection (2014)

Author: Clark, Robert M.

ISBN-13: 978-1452271859, 544 pgs.

"Well organized, logical approach, which systematically covers each aspect of intelligence collection. This book lays out the sources of intelligence in a very logical sequence, and in a very easily understandable format. Clark’s extensive use of anecdotal examples, based on real situations provides significant interest as you read through the text."

Clark, Robert M. Intelligence Collection. CQ Press, 2013.

Psychology of Intelligence Analysis (2017)

Author: Heuer, Richards J.

ISBN-13: 978-1626543249, 210 pgs.

"This book offers a fascinating look at the never-ending quest for better intelligence analysis. At the fundamental core of this work are the cognitive challenges that any analyst faces, and how critical thinking can significantly Improve our understanding and outcomes for complex issues." 

Heuer, Richards J. Psychology of Intelligence Analysis. Echo Point Books & Media, 2017.

Structured Analytic Techniques for Intelligence Analysis (2014)

Authors: Heuer, Richards J. Jr. & Pherson, Randolph H.

ISBN-13: 978-1452241517; 384 pgs.

"Showcases current and cutting-edge best practices but has broadened its focus beyond intelligence to show how SATs can be used across different disciplines and professions, from business and law enforcement to homeland security."

Heuer, Richards J. Jr and Randolph H. Pherson. Structured Analytic Techniques for Intelligence Analysis. CQ Press, 2014.

The Five Disciplines of Intelligence Collection (2015)

Authors: Lowenthal, Mark M. & Clark, Robert M.

ISBN-13: 978-1-4522-1763-5, 216 pgs.

"Lowenthal and Clark describe, in non-technical terms, the definition, history, process, management, and future trends of each intelligence collection source (INT). Chapter authors are past or current senior practitioners of the INT they discuss, providing expert assessment of ways particular types of collection fit within the larger context of the U.S. Intelligence Community."

Lowenthal, Mark M. and Robert M. Clark. The Five Disciplines of Intelligence Collection. CQ Press, 2015.

U.S. Intelligence Community

Homeland Security Intelligence (2014)

Author: Steiner, James E.  

ISBN: 978-1-4522-5866-9, 312 pgs.

"An introduction to the material regarding the intricate details of homeland security, with regard to the factors that pertain to intelligence issues. Given the current climate of cyber security and internet security, the author has provided some very robust issues that are addressed in his text regarding the factors of intelligence. The use of examples related to post 9/11 factors also provides a strong feature of the text."

Steiner, James E. Homeland Security Intelligence. CQ Press, 2014.

Intelligence: From Secrets to Policy. 7th ed. (2016)

Author: Lowenthal, Mark M.

ISBN-13:  978-1506342566, 624 pgs.

"The go-to resource for understanding how the intelligence community’s history, structure, procedures, and functions affect policy decisions. Lowenthal examines cyber space and the issues it presents to the intelligence community such as defining cyber as a new collection discipline; the implications of the Senate Intelligence Committee’s staff report on enhanced interrogation techniques; the rise of the Islamic State; and the issues surrounding the nuclear agreement with Iran." 

Lowenthal, Mark M. Intelligence: From Secrets to Policy. CQ Press, 2016.

The US Intelligence Community (2015)

Author: Richelson, Jeffrey T.

ISBN-13: 978-0813349183, 648 pgs.

"This 7th edition book offers a broad but well researched view into the myriad of agencies and organizations making up America’s intelligence community. With its focus on explaining the activities and organizational structures of the intelligence community, it is considered by many to be “US Intelligence 101”. The book is an excellent primer for any individuals interested in applying for a position with America’s spy agencies."

Richelson, Jeffery T. The U.S. Intelligence Community. Routledge, 2015.

U.S. Government Counterterrorism: A Guide to Who Does What (2011)

Authors: Kraft, Michael & Marks, Ed

ISBN-13: 978-1439851432, 407 pgs.

"The first readily available, unclassified guide to the many U.S. government agencies, bureau offices, and programs involved in all aspects of countering terrorism domestically and overseas. The authors, veterans of the U.S. government’s counterterrorism efforts, present a rare insider’s view of the counterterrorism effort, addressing such subjects as government training initiatives, weapons of mass destruction, interagency coordination, research and development, and the congressional role in policy and budget issues."

Kraft, Michael and Edward Marks. U.S. Government Counterterrorism: A Guide to Who Does What. CRC Press, 2011.

Worldwide Threat Assessment of the US Intelligence Community (2017)

Author: Coates, Daniel R.

28 pgs.

"The United States Intelligence Community’s 2017 assessment of threats to U.S. national security."

Coates, Daniel R. Worldwide Threat Assessment of the US Intelligence Community. U.S. Intelligence Community, 2017.

History of Intelligence

Body of Secrets: Anatomy of the Ultra-Secret National Security Agency (2002)

Author: Bamford, James

ISBN-13: 978-0385499088, 784 pgs.

"In 1982, investigative journalist James Bamford published a bestselling account of the work of the secretive National Security Agency. In 2002, Bamford revisited America’s eavesdropping masters in Body of Secrets, revealing previously unknown parts of the NSA’s history. Despite being published 15 years ago, Bamford’s book remains one of the most riveting, well-researched, and objective views of one of America’s least understood intelligence agencies."

Bamford, James. Body of Secrets: Anatomy of the Ultra-Secret National Security Agency. Anchor Books, 2002.

From the Shadows: The Ultimate Insider's Story of Five Presidents and How They Won the Cold War (2007)

Author: Gates, Robert

ISBN-13: 978-1416543367, 608 pgs.

"Gates, director of the Central Intelligence Agency from 1991 to 1993, insider's account of the Cold War, CIA operations and the unraveling of the Soviet Union is sprinkled with revelations including the fact that 1983 was the most dangerous year in U.S.-U.S.S.R. relations and that both the CIA and KGB sponsored countless "black operations" designed to embarrass and discredit the other side."

Gates, Robert. From the Shadows: The Ultimate Insider's Story of Five Presidents and How They Won the Cold War. Simon & Schuster, 2007.

Ghost Wars: The Secret History of the CIA, Afghanistan, and Bin Laden, from the Soviet Invasion to September 10, 2001 (2004)

Author: Coll, Steve

ISBN-13: 978-0143034667; 736 pgs.

"Winner of the 2005 Pulitzer Prize for general non-fiction, Steve Coll’s Ghost Wars tells the formerly secret story of the CIA’s involvement in Afghanistan prior to 9/11." 

Coll, Steve. Ghost Wars: The Secret History of the CIA, Afghanistan, and Bin Laden, from the Soviet Invasion to September 10, 2001. Penguin Books, 2004.

Intelligence for an Age of Terror (2011)

Treverton, Gregory F.

ISBN-13: 978-1107615663, 326 pgs.

This book emphasizes how much the analysis of terrorism has changed now that the perpetrators are no longer simply state-backed actors. Terrorist acts also no longer tell a "story" but occur with virtually no signals beforehand. Terrorists consistently adapt to our vulnerabilities and make us less secure than ever before.

Treverton, Gregory F. Intelligence for an Age of Terror. Cambridge University Press, 2011.

Intelligence in War: The value--and limitations--of what the military can learn about the enemy (2004)

Author: Keegan, John

ISBN-13: 978-0375700460, 432 pgs.

Intelligence gathering is an immensely complicated and vulnerable endeavor. And it often fails. Until the invention of the telegraph and radio, information often traveled no faster than a horse could ride, yet intelligence helped defeat Napoleon. In the twentieth century, photo analysts didn’t recognize Germany’s V-2 rockets for what they were; on the other hand, intelligence helped lead to victory over the Japanese at Midway. John Keegan illustrates that only when paired with force has military intelligence been an effective tool.

Keegan, John. Intelligence in War: The value--and limitations--of what the military can learn about the enemy. Vintage, 2004.

Secret Empire: Eisenhower, the CIA, and the Hidden History of America's Space Espionage (2004)

Author: Taubman, Philip

ISBN-13: 978-0684857008; 472 pgs.

In a brief period of explosive, top-secret innovation during the 1950s, a small group of scientists, engineers, businessmen, and government officials rewrote the book on airplane design and led the nation into outer space. They also made possible the space-based mapping, communications, and targeting systems used in the Gulf War, Afghanistan, and Iraq.

Taubman, Philip. Secret Empire: Eisenhower, the CIA, and the Hidden History of America's Space Espionage. Simon & Schuster, 2004.

The Art of Intelligence: Lessons from a Life in CIA's Clandestine Service (2012)

Author: Crumpton, Henry A.

ISBN-13: 978-0143123378, 352 pgs.

The Art of Intelligence reflects the character of its author: Honest, smart, direct and impressive. Crumpton offers important new insights into the C.I.A.’s role in the Taliban’s overthrow in 2001, as well as a wider portrait of modern intelligence that is frank and compelling.

Crumpton, Henry A. The Art of Intelligence: Lessons from a Life in CIA's Clandestine Service. Penguin Books, 2013.

The Craft of Intelligence: America’s Legendary Spy Master on the Fundamentals of Intelligence Gathering for a Free World (2006)

Author: Dulles, Allen W.

ISBN-13: 978-1493018796; 304 pgs.

In probably the most well respected and cited book in the intelligence community, former high-ranking CIA officer Allen W. Dulles’ offers readers both in-depth history and practical information about intelligence work since the end of the Cold War. Dulles’ informed but entertaining writing style makes this book a great read, especially for those interesting in entering the intelligence community.

Dulles, Allen. The Craft of Intelligence: America’s Legendary Spy Master on the Fundamentals of Intelligence Gathering for a Free World. Lyons Press, 2016.

The Secret State: A History of Intelligence and Espionage (2017)

Author: Wilson, John H.

ISBN-13: 978-1681776378, 528 pgs.

Examines the potential pitfalls of the traditional intelligence cycle; the dangerous uncertainties of spies and human intelligence; how the Cold War became an electronic intelligence war; the technical revolution that began with the use of reconnaissance photography in World War I and during the Cuban Missile Crisis; the legacy of Stalin's deliberate ignoring of vital intelligence; how signals intelligence gave America one of its greatest victories; how Wikileaks really happened; and whether 9/11 could have been avoided.

Wilson, John H. The Secret State: A History of Intelligence and Espionage. Pegasus Books, 2017.

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