Adaptive Threat Modeling

Adaptive Threat Modeling (ATM) moves beyond the limitations of static models, offering a dynamic and comprehensive view of the threat landscape. ATM leverages machine learning algorithms to continuously analyze security data and build dynamic threat models. These models evolve in real-time, incorporating new information about threats, vulnerabilities, and attacker behavior. ATM analyzes network alerts and anomaly detections, automatically linking them into clear and intuitive threat chains. This allows security teams to identify previously unseen attack patterns and predict the potential next steps of an attacker. With a clear picture of the evolving attack story, ATM equips your security personnel with the knowledge and context needed to make informed decisions quickly.

InvestigateRX

InvestigateRX empowers security teams to focus on high-impact threats by automating mundane tasks. InvestigateRX intelligently extracts key information from various data sources, generating concise and context-aware summaries. This eliminates the need for analysts to spend hours sifting through irrelevant data. By understanding the nuances of security data, InvestigateRX can identify critical details and present them in a clear and easily digestible format. By automating the summarization process, InvestigateRX reduces average investigation time by 15 minutes per incident, allowing security teams to focus on critical tasks. This time savings can be substantial, especially when dealing with a high volume of incidents. InvestigateRX also facilitates seamless collaboration within the investigation team by providing a centralized platform for sharing information and insights. With real-time updates and shared summaries, team members can stay informed and work together efficiently.

Insider Threat Psycholinguistics

Insider Threat Psycholinguistics (ITP) uses the power of Amazon Bedrock and Anthropic’s Claude Large Language Models to tackle the growing challenge of discerning malicious intent from user behavior. ITP utilizes these models to analyze user language, including emails, chats, and documents, to identify subtle psychological cues that might indicate malicious intent. The art of Psycholinguistics goes beyond simple keyword matching. By analyzing entities and activities within the context of user language, ITP assigns risk scores that pinpoint potential threats in areas like financial crimes and data obfuscation. Imagine having a clear and concise summary of a user’s actions and motivations. Insider Threat Psycholinguistics delivers this valuable insight, allowing security teams to quickly understand the potential threat and take appropriate action.

2024 GARTNER® CRITICAL CAPABILITIES FOR SIEM

GLP Elevates Security Efficiency: Securonix SOAR & ATS Integration Unleashed!

GLP Elevates Security Efficiency: Securonix SOAR & ATS Integration Unleashed!