Resecurity introduced Context AI to accelerate threat intelligence and incident response capabilities

Welcome Context - Generative AI for Cybersecurity

Resecurity has added new AI capabilities to its flagship Platform-as-a-Service (PaaS) offering, to accelerate its proprietary threat detection and response capabilities. Context AI, developed by Resecurity, will augment analyst workflow and enrich produced threat intelligence with actionable data and insights. The technology leverages generative AI, purposefully tailored for cybersecurity, investigations, incident response and SOC operations.

Implementation of Context AI across Resecurity's key product portfolio will speed 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.

Key Differentiator

Leveraging tailored Large Language Models (LLMs), Context AI will provide analytical, investigative and interpretation capabilities, enabling cybersecurity teams to extract meaningful insights from a variety of data points. The Big Data available in the Context Platform will serve as one of the primary data sources, containing over 850 million records of actor-centric intelligence and other relevant ontologies.

While most industry solutions rely 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.

Our technology also enables end-users to ingest their own data and telemetry to produce meaningful insights, without risking leakage or exposure via public clouds, which may limit the application of certain national security, law enforcement and business-critical applications involving customer or transactional data.

Unparalleled Generative AI Capabilities

Generative AI capabilities will also bring AI-powered assistance to end-users of the Resecurity platform and related products, enabling them to avoid manual interaction with technical and customer support. Instead, they will leverage alternative communication channels to address tasks, requests, and questions related to topics of interest. Multiple pilots in Fortune 100 companies have yielded phenomenal results, leading to a 12-fold increase in the speed of cybersecurity teams' operations. This has reduced waiting time and human interaction on tasks that can be automated, enabling fulfillment with meaningful and rich context in real-time.

Applying AI to Analyze Foreign Actors

Ongoing collection of Dark Web intelligence by Resecurity opens up unique opportunities for Context AI. Firstly, using Context AI to track foreign actors, cybercriminals, and ransomware groups enables operators to produce finished intelligence without needing to leverage multiple tools and distinct sources, which sometimes provide overlapping, misleading, or completely disconnected information, resulting in a lack of analysis.

Our mission is to enable comprehensive analytics across all available data points, covering both OSINT (social media, news sources, publicly available resources, and databases) and non-OSINT (dark web, cyber intelligence, human intelligence, assets). Combining both domains enables increased visibility and enriches the output with meaningful details 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 AI is also helping law enforcement and cybersecurity professionals track ransomware attacks. With machine learning and AI-powered tools, law enforcement agencies can keep pace with the evolving threat landscape and develop more resilient defenses.

Accelerating Incident Response

Context AI is enabling teams to speed up and improve incident response. From automating incident identification so that teams can focus their efforts on the most critical incidents, to orchestrating playbooks and automating tasks such as blocking malicious IP addresses.

Cybersecurity teams are facing a massive volume of alerts and warnings, making it challenging for SOC analysts to discern whether one signifies a serious concern. The majority of SIEMs focus on making logs available quickly, but with limited context. To reduce investigation and detection times, contextual data must be included as part of the data ingestion process. This allows for a more comprehensive view while investigating an alert or incident. However, most SIEMs require manual onboarding of data sources for ingesting data and collecting logs, which is a time-consuming process. Context AI can be implemented via API to a majority of popular SIEM platforms, including ArcSight, Splunk, and QRadar.

Cross-Domain Application

Context AI's flexible model of licensing opens up limitless opportunities for implementation. Current successful applications 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.

By correlating data points from various sources and identifying anomalous patterns, 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.

Multi-Language Support

Context AI is not limited to the English language, but instead supports over 45 different languages, including Arabic, French, German, Korean, and Chinese. That enables diverse teams across different continents to leverage Context AI effectively for their mission without needing to adjust it to specific language patterns. Additionally, 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).

Looking for More Context?

If you're interested in implementing Context AI in your own application, product, or platform, please do not hesitate to contact us. Resecurity offers flexible licensing models and various ways to integrate Context AI, adding tremendous value to your offerings and solutions. For academia, we provide educational grants and test access to Context AI for research (R&D) and capacity building purposes. Please, contact us via ai@resecurity.com to learn more.