Cyber Security
Five Tips to Improve Threat Report Analysis and Action
Written by Yann Le Borgne, Technical Director for ThreatQuotient
Most organizations have more threat intelligence than they know what to do with, from a variety of sources – commercial, open-source, government, industry sharing groups, and security vendors. Bombarded by millions of threat data points every day, it can seem impossible to appreciate or realize the full value of third-party data. In a recent CyberSocial webcast, industry experts David Grout, CTO EMEA for FireEye, and Yann LeBorgne, Technical Director for ThreatQuotient, helped listeners tackle this challenge. Using threat reports as an example of one type of published threat information, they responded to real-time polling results as they provided advice on how to analyze a threat report and make it actionable.
Here are five tips they shared.
Select the right sources of threat data for your organization.
When polled, the audience reported using a well-balanced combination of sources of threat intelligence. They are on the right track, but David explains that it is also important to identify the right sources for your organization and collect threat reports from several different sources as they provide different levels of content – strategic, operational, and tactical. Figure out the who, what, and when for consumption and use that for your metric for success when looking at acquisition.
Yann adds that open-source intelligence (OSINT) is free and easy to access, most organizations use it extensively. But organizations must also consider the trust and reliability of sources. a classical hierarchy, the highest level of trust comes from the intelligence you generate and receive from your close network and peers, and OSINT information is placed at the lowest level.
David recommends using trust models such as the Admiralty System or NATO System which classifies information from A to F for reliability and from 1 to 6 for credibility, particularly for new sources that surface during times of crises or outbreaks. Applying this scale to threat intel helps to determine what to do with the data and reduces false positives and noise generated from non-validated and unconfirmed data.
Determine who will acquire the data.
In response to the next poll question, 25% of respondents said all groups have access to all threat intelligence sources. David explained that while it may be good to provide access to a broad audience, it is probably even better to have one team responsible for acquiring and analyzing threat reports and only delivering information that is actionable. Not every stakeholder needs every level of intelligence.
Using the report on the Ryuk ransomware from the French National Agency for the Security of Information Systems (ANSSI) as an example, Yann explained that to do this you need to determine how the same report will impact and be used by various teams across the organization. Different teams may use different aspects of the same report in different ways to achieve their desired outcomes, for example modifying policy (strategic), launching hunting campaigns (operational), or disseminating technical indicators (tactical). A threat report that is in PDF format requires a lot of work to translate the information it contains into actionable data for different sets of users, which is why it is important to have a dedicated team acquire the data.
Structure the data for analysis.
Yann explained that the three steps for analysis include: understanding the context of the report, the relevance of the report, and relating the report to any prior reports, intelligence and incidents. This process allows you to contextualize and prioritize intelligence but requires that the data be structured uniformly. Threat data comes in various formats (such as STIX, MITRE ATT&CK techniques, news articles, blogs, tweets, security industry reports, indicators of compromise (IoCs) from threat feeds, GitHub repositories, Yara rules and Snort signatures.) and needs to be normalized. into a machine-readable format link it to other related reports and sources of information.
David adds that it isn’t just about the format. The volume of information across the threat intel landscape is high and different groups use different names to refer to the same thing. Normalization compensates for this and enables you to aggregate and organize information quickly. Structuring data so that you can prioritize is critical for triage and ensures you are focusing on the threats that matter most.
Use tools to help with analysis.
Yann explains that the tools you use need to support your desired outcome. According to the poll, 67% of attendees using technical ingestion (SIEM) which indicates that desired outcomes are more technical. And 15% are still handling the acquisition and analysis process manually. This is quite a challenge, particularly during a big event. A threat intelligence platform (TIP) does a good job of extracting context and can help you use the information in various ways for different use cases (e.g., alert triage, threat hunting, spear phishing, incident response) and to support different outcomes.
It is also important that the tool you select works well with frameworks like MITRE ATT&CK. David shared that MITRE is the most used framework to organize the analysis process. Customers are identifying their crown jewels and mapping to MITRE to understand which adversaries might target them, the tactics, techniques, and procedures (TTPs) to concentrate on, and what actions to take.
Select the right tools to help make data actionable.
The analysis enables prioritization so you can determine the appropriate actions to take. There are a variety of tools to help make threat reports and other elements of your threat intelligence program actionable and achieve desired outcomes at the strategic level (executive reporting), operational level (changes in security posture), and tactical level (updating rules and signatures).
In the final polling question, 45% of respondents said they are using a TIP to make the data actionable for detection and protection, but few are using a TIP for forensics. Yann and David agree this is a missed opportunity and a capability teams should explore as their capabilities continue to mature. From a forensics standpoint, MITRE is an important tool to enable an analysis of past incidents so organizations can learn and improve.
In closing, our experts recommend that before you start thinking about threat intelligence sources, analysis, and actions, you need to understand the desired outcomes and deliverables for each of your constituents. It’s a journey that typically starts at the tactical level and, with maturity, evolves to include operational and strategic intelligence to deliver additional value. When shared the right way with each part of the organization, key stakeholders will see threat intelligence for the business enabler that it is, and the threat intelligence program will gain support and the budget to grow.
Cyber Security
Positive Technologies Reports 80% of Middle East Cyberattacks Compromise Confidential Data
A new study by cybersecurity firm Positive Technologies has shed light on the evolving cyber threat landscape in the Middle East, revealing that a staggering 80% of successful cyberattacks in the region lead to the breach of confidential information. The research, examining the impact of digital transformation, organized cybercrime, and the underground market, highlights the increasing exposure of Middle Eastern nations to sophisticated cyber threats.
The study found that one in three successful cyberattacks were attributed to Advanced Persistent Threat (APT) groups, which predominantly target government institutions and critical infrastructure. While the rapid adoption of new IT solutions is driving efficiency, it simultaneously expands the attack surface for malicious actors.
Cybercriminals in the region heavily utilize social engineering tactics (61% of cases) and malware (51%), often employing a combination of both. Remote Access Trojans (RATs) emerged as a primary weapon in 27% of malware-based attacks, indicating a common objective of gaining long-term access to compromised systems.
The analysis revealed that credentials and trade secrets (29% each) were the most sought-after data, followed by personal information (20%). This stolen data is frequently leveraged for blackmail or sold on the dark web. Beyond data theft, 38% of attacks resulted in the disruption of core business operations, posing significant risks to critical sectors like healthcare, transportation, and government services.
APT groups are identified as the most formidable threat actors due to their substantial resources and advanced technical capabilities. In 2024, they accounted for 32% of recorded attacks, with a clear focus on government and critical infrastructure. Their activities often extend beyond traditional cybercrime, encompassing cyberespionage and even cyberwarfare aimed at undermining trust and demonstrating digital dominance.
Dark web analysis further revealed that government organizations were the most frequently mentioned targets (34%), followed by the industrial sector (20%). Hacktivist activity was also prominent, with ideologically motivated actors often sharing stolen databases freely, exacerbating the cybercrime landscape.
The United Arab Emirates, Saudi Arabia, Israel, and Qatar, all leaders in digital transformation, were the most frequently cited countries on the dark web in connection with stolen data. Experts suggest that the prevalence of advertisements for selling data from these nations underscores the challenges of securing rapidly expanding digital environments, which cybercriminals are quick to exploit.
Positive Technologies analyst Alexey Lukash said, “In the near future, we expect cyberthreats in the Middle East to grow both in scale and sophistication. As digital transformation efforts expand, so does the attack surface, creating more opportunities for hackers of all skill levels. Governments in the region need to focus on protecting critical infrastructure, financial institutions, and government systems. The consequences of successful attacks in these areas could have far-reaching implications for national security and sovereignty.”
To help organizations build stronger defenses against cyberthreats, Positive Technologies recommends implementing modern security measures. These include vulnerability management systems to automate asset management, as well as identify, prioritize, and remediate vulnerabilities. Positive Technologies also suggests using network traffic analysis tools to monitor network activity and detect cyberattacks. Another critical layer of protection involves securing applications. Such solutions are designed to identify vulnerabilities in applications, detect suspicious activity, and take immediate action to prevent attacks.
Positive Technologies emphasizes the need for a comprehensive, result-driven approach to cybersecurity. This strategy is designed to prevent attackers from disrupting critical business processes. Scalable and flexible, it can be tailored to individual organizations, entire industries, or even large-scale digital ecosystems like nations or international alliances. The goal is to deliver clear, measurable results in cybersecurity—not just to meet compliance standards or rely on isolated technical fixes.
Cyber Security
Axis Communications Sheds Light on Video Surveillance Industry Perspectives on AI
Axis Communications has published a new report that explores the state of AI in the global video surveillance industry. Titled The State of AI in Video Surveillance, the report examines the key opportunities, challenges and future trends, as well as the responsible practices that are becoming critical for organisations in their use of AI. The report draws insights from qualitative research as well as quantitative data sources, including in-depth interviews with carefully selected experts from the Axis global partner network.
A leading insight featured in the report is the unanimous view among interviewees that interest in the technology has surged over the past few years, with more and more business customers becoming curious and increasingly knowledgeable about its potential applications.

Mats Thulin, Director AI & Analytics Solutions at Axis Communications
“AI is a technology that has the potential to touch every corner and every function of the modern enterprise. That said, any implementations or integrations that aim to drive value come with serious financial and ethical considerations. These considerations should prompt organisations to scrutinise any initiative or investment. Axis’s new report not only shows how AI is transforming the video surveillance landscape, but also how that transformation should ideally be approached,” said Mats Thulin, Director AI & Analytics Solutions at Axis Communications.
According to the Axis report, the move by businesses from on-premise security server systems to hybrid cloud architectures continues at pace, driven by the need for faster processing, improved bandwidth usage and greater scalability. At the same time, cloud-based technology is being combined with edge AI solutions, which play a crucial role by enabling faster, local analytics with minimal latency, a prerequisite for real-time responsiveness in security-related situations.
By moving AI processing closer to the source using edge devices such as cameras, businesses can reduce bandwidth consumption and better support real-time applications like security monitoring. As a result, the hybrid approach is expected to continue to shape the role of AI in security and unlock new business intelligence and operational efficiencies.
A trend that is emerging among businesses is the integration of diverse data for a more comprehensive analysis, transforming safety and security. Experts predict that by integrating additional sensory data, such as audio and contextual environmental factors caught on camera, can lead to enhanced situational awareness and greater actionable insights, offering a more comprehensive understanding of events.
Combining multiple data streams can ultimately lead to improved detection and prediction of potential threats or incidents. For example, in emergency scenarios, pairing visual data with audio analysis can enable security teams to respond more quickly and precisely. This context-aware approach can potentially elevate safety, security and operational efficiency, and reflects how system operators can leverage and process multiple data inputs to make better-informed decisions.
According to the Axis report, interviewees emphasised that responsible AI and ethical considerations are critical priorities in the development and deployment of new systems, raising concerns about decisions potentially based on biased or unreliable AI. Other risks highlighted include those related to privacy violations and how facial and behavioural recognition could have ethical and legal repercussions.
As a result, a recurring theme among interviewees was the importance of embedding responsible AI practices early in the development process. Interviewees also pointed to regulatory frameworks, such as the EU AI Act, as pivotal in shaping responsible use of technology, particularly in high-risk areas. While regulation was broadly acknowledged as necessary to build trust and accountability, several interviewees also stressed the need for balance to safeguard innovation and address privacy and data security concerns.
“The findings of this report reflect how enterprises are viewing the trend of AI holistically, working to have a firm grasp of both how to use the technology effectively and understand the macro implications of its usage. Conversations surrounding privacy and responsibility will continue but so will the pace of innovation and the adoption of technologies that advance the video surveillance industry and lead to new and exciting possibilities,” Thulin added.
Artificial Intelligence
CyberKnight Partners with Ridge Security for AI-Powered Security Validation
The automated penetration testing market was valued at roughly $3.1 billion in 2023 and is projected to grow rapidly, with forecasts estimating a compound annual growth rate (CAGR) between 21% and 25%. By 2030, the sector is expected to reach approximately $9 to $10 billion. The broader penetration testing industry is also expanding, with projections indicating it will surpass $5.3 billion by 2027, according to MarketandMarket.
To support enterprises and government entities across the Middle East, Turkey and Africa (META) with identifying and validating vulnerabilities and reducing security gaps in real-time, CyberKnight has partnered with Ridge Security, the World’s First Al-powered Offensive Security Validation Platform. Ridge Security’s products incorporate advanced artificial intelligence to deliver security validation through automated penetration testing and breach and attack simulations.
RidgeBot uses advanced AI to autonomously perform multi-vector iterative attacks, conduct continuous penetration testing, and validate vulnerabilities with zero false positives. RidgeBot has been deployed by customers worldwide as a key element of their journey to evolve from traditional vulnerability management to Continuous Threat Exposure Management (CTEM).
“Ridge Security’s core strength lies in delivering holistic, AI-driven security validation that enables organizations to proactively manage risk and improve operational performance,” said Hom Bahmanyar, Chief Enablement Officer at Ridge Security. “We are delighted to partner with CyberKnight to leverage their network of strategic partners, deep-rooted customer relations, and security expertise to accelerate our expansion plans in the region.”
“Our partnership with Ridge Security is a timely and strategic step, as 69% of organizations are now adopting AI-driven security for threat detection and prevention,” added Wael Jaber, Chief Strategy Officer at CyberKnight. “By joining forces, we enhance our ability to deliver automated, intelligent security validation solutions, reaffirming our commitment to empowering customers with resilient, future-ready cybersecurity across the region.”
-
GISEC1 week agoPositive Technologies @ GISEC Global 2025: Demonstrating Cutting-Edge Cyber Threats and AI Defense Strategies
-
Cyber Security1 week agoAxis Communications Sheds Light on Video Surveillance Industry Perspectives on AI
-
GISEC1 week agoVideo: SANS Institute Weighs in on Deepfakes, Model Poisoning and Risk Frameworks at GISEC Global 2025
-
GISEC1 week agoManageEngine @ GISEC Global 2025: AI, Quantum Computing, and Ransomware Form Part of Cybersecurity Outlook for 2025
-
GISEC1 week agoVideo: SentinelOne Speaks Hyperautomation, Purple AI, and the Future of Threat Detection at GISEC Global 2025
-
Africa Focus6 days agoCyberKnight Sets Up South Africa Entity
-
GISEC1 week agoGroup-IB @ GISEC Global 2025: Tackling Evolving Cyber Threats with Localised Intelligence and AI
-
GISEC1 week agoVideo: CyberKnight on Zero Trust, AI, and Saudi Arabia’s Digital Transformation at GISEC Global 2025
