To strengthen cyber security and prevent malicious cyber attacks, having a threat intelligence response strategy is a must for organizations of all sizes today. 

PT Security reported that 98% of web applications are vulnerable to attacks that can result in malware, redirection to malicious websites, and more. 72% of these vulnerabilities were caused by flaws in web application coding. 

In fact, Check Point found that organizations experienced an average of 1,636 cyber attacks per week, representing a 30% year-over-year increase in Q2 of 2024.

This is why organizations are investing in specialized solutions to address threat intelligence and mitigate vulnerabilities before they are exploited. 

One such specialized solution is Context, a cyber threat intelligence platform developed by Resecurity.

This article tells you everything you need to know about Context by Resecurity, how it works, key features, key benefits, and use cases. 

What is Context?

Cortex is a cyber threat intelligence platform developed by Resecurity that provides organizations with comprehensive tools to gain actionable insights into emerging threats and vulnerabilities.

The intelligence platform is designed to accelerate analysis, prevention, and investigation workflows. It provides lightning-fast search and data science services to analysts, investigators, SOC/DFIR teams, risk management, and C-level security executives.

The platform leverages machine learning, advanced analytics, and a vast database of threat indicators to identify potential risks and help organizations proactively protect their assets. Particularly, the solution optimized custom Large Language Models (LLMs) to present analytical, investigative, and interpretation capabilities. This allows cyber security analysts to extract meaningful insights from a variety of data points. 

Leveraging tailored LLMs, Context AI will provide analytical, investigative, and interpretation capabilities, enabling cybersecurity teams to extract meaningful insights from a variety of data points. Essentially, the Context platform uses a vast dataset of over 850 million records, primarily focused on actor-centric intelligence. 

This extensive collection of data will serve as a crucial resource for providing in-depth insights into threat actors, their behaviors, and potential attack strategies. Analyzing this data helps organizations gain a better-detailed understanding of the changing threat landscape and make informed decisions to protect their assets.

In contrast to other solutions that depend on publicly available and open-source intelligence (OSINT), Resecurity’s AI capabilities primarily rely on the opposite - intelligence produced as a result of Human Intelligence (HUMINT), crowdsourcing, developing a chain of assets, and acquiring access to specific Dark Web sources. This unique approach brings tremendous value to both government and private sector clients facing emerging threats and new security challenges.

How does Context work?

Context functions by employing a multilayered approach to extract threat intelligence and analysis by continuously monitoring multiple online sources including the dark web, social media, and open-source forums. This helps spot potential threats and gather relevant data which is then processed through advanced analytics and machine learning algorithms for valuable insights.

Context is designed to augment analyst workflow and boost produced threat intelligence with actionable data and insights. The technology harnesses the power of generative AI, purposefully tailored for cybersecurity, investigations, incident response, and SOC operations. This speeds up the decision-making process, providing a significant timing advantage for resource optimization, enabling parallel cybersecurity operations across multiple units, and supporting scalability with an AI-powered engine.

The technology offers a secure and private environment for data processing. Organizations can input their own data without the risk of it being exposed to public clouds, which can be a concern for sensitive information like national security, law enforcement, or customer transactional data. This ensures that sensitive information remains confidential and protected from unauthorized access.

Key features

1. AI for foreign actors

Context’s capability in Dark Web intelligence helps the platform track foreign actors, cybercriminals, and ransomware groups. The solution carries out this tracking by enabling operators to produce finished intelligence without requiring multiple tools and distinct resources.

The use of multiple tools for different targets can be overlapping, misleading, or it can totally disconnect information which ultimately results in a lack of analysis.

The platform’s feature to track ransomware attacks also helps law enforcement and cybersecurity professionals. Machine learning and AI-driven tools aid law enforcement agencies in maintaining pace with the evolving threat landscape and developing more resilient defenses.

2. Incident Response

Context accelerates incident response through its platform by enabling organizations to undertake a comprehensive and actionable understanding of the threat landscape. It automates incident identification so that organizations can maintain focus on the most critical incidents from managing playbooks. It also automates the task of blocking malicious IP addresses by leveraging advanced analytics and machine learning. 

This helps analyze massive amounts of data from different sources including the dark web, social media, and open-source intelligence which ultimately helps the system to instantly respond to incidents in real-time. This enables Context to identify emerging threats, track threat actors, and uncover potential attack vectors in real-time. By providing timely and accurate threat intelligence, Context empowers organizations to detect and respond to security incidents more efficiently. 

Context AI can be implemented via API to a majority of popular SIEM platforms, including ArcSight, Splunk, and QRadar.

3. Cross-domain application

Context’s cross-domain application characteristic allows organizations to optimize Resecurity’s threat intelligence capabilities across multiple security domains. The platform has a flexible model of licensing which opens up more opportunities for implementation. Some successful applications already include fraud prevention, social media analysis, and geospatial enrichment. Beyond its generative AI features, Context AI's power will also be leveraged in data classification tasks, risk scoring, and graph-based clustering analytics.

The cross-domain aspect enables the correlation of data points from diverse sources, further enhancing the identification of anomalous patterns. This way, Context AI can help organizations proactively prepare and implement preemptive measures to thwart new attacks and predict potential security challenges. Resecurity continues to enhance Context AI, building new successful use cases and applications in collaboration with our esteemed customers, industry partners, and peers.

Key benefits 

1. Multi-language support

Context by Resecurity does not only communicate in English but is available in 45 other languages including Arabic, French, German, Korean, and Chinese. This benefit allows diverse teams across the globe to use Context AI efficiently and effectively, helping them complete their goals without the need to adhere to a specific language pattern. 

The multi-language capability allows teams to target a variety of data sources containing linguistic-specific and morphological details, producing meaningful insights for the end users regardless of their knowledge of the particular foreign language (language of the original data source).

2. Automatic analytics

Context provides comprehensive analytics across all available data points including both OSINT (social media, news sources, publicly available resources, and databases) and non-OSINT (dark web, cyber intelligence, human intelligence, assets). Combining these two domains allows higher visibility and boosts the result with meaningful insights not readily available in other AI engines, primarily focused on tasks unrelated to cybersecurity. This results in hallucinations and the misinterpretation of source data by operators, rendering the output valueless.

Context's focus on cybersecurity ensures that the AI is trained on relevant data and is less likely to produce inaccurate or misleading results.

Use Cases

1. Antipiracy

Context by Resecurity is designed to combat piracy and counterfeit activities across various industries. For example, a pharmaceutical company can use Context's tools to prevent the illicit distribution and use of its products through actionable intelligence.

Context analyzes huge amounts of data to help identify counterfeit products and their distribution channels, enabling pharmaceutical companies to take legal action and protect their brand integrity. They can monitor various online and offline channels for unauthorized distribution and use of their products. 

Context provides actionable intelligence, helping businesses identify and disrupt illicit activities, protect their intellectual property, and safeguard their brand reputation.

2. Dark Web

Context by Resecurity is a powerful tool for monitoring and analyzing the dark web, allowing organizations to identify and mitigate potential threats. 

Context can track the activities of malicious actors, detect emerging threats, and uncover hidden vulnerabilities. This information can be used to protect sensitive data, prevent cyberattacks, and improve overall security posture. 

For example, Context can be used to identify stolen data being sold on the dark web, track the development of new malware strains, and monitor for signs of targeted attacks against specific organizations.

Context leverages its lightning-fast search capabilities in the darkest corners of the internet by tapping into the biggest and constantly updated repository of underground communities and marketplaces (TOR, 12P, Freenet, IRCm IM-based).

About Resecurity

Resecurity is an American cybersecurity company with headquarters in Los Angeles, California. The company provides next-generation endpoint protection and intelligence-driven cybersecurity solutions to leading Fortune 500 corporations and governments worldwide. 

The cyber security company delivers a unified platform for endpoint protection, risk management, and threat intelligence for large enterprises and government agencies worldwide.