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.
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Adaptive Threat Modeling
- Рет қаралды 63
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