BreachLock Introduces AI-Powered Adversarial Exposure Validation Engine

BreachLock has launched its new Adversarial Exposure Validation (AEV) Engine, leveraging Generative AI to automate complex attack simulations and help security teams identify critical vulnerabilities.

BreachLock has unveiled its new Adversarial Exposure Validation (AEV) Engine, which uses Generative AI to automate multistep, threat-intelligence-led attack scenarios. Announced in a press release, the AEV Engine is designed to help security teams uncover real exposures and prioritize critical risks by simulating real-world adversary behavior.

The AEV Engine autonomously executes approved exploits, escalating and testing defenses as it progresses. It enables enterprises to launch automated multi-stage Red Teaming engagements across multiple threat vectors, powered by a constantly evolving library of AI-created attack scenarios. This tool provides actionable insights, including root analytics and attack path visualization, allowing security teams to identify and address vulnerabilities more efficiently.

BreachLock's AEV Engine also offers detailed reports drafted by Generative AI, providing security teams with information on successful attack paths, defense effectiveness, and strategic recommendations. The launch marks a significant shift in how BreachLock empowers its clients to manage and mitigate cybersecurity risks effectively.

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