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Sevii Unveils AI Security Module for Autonomous Threat Remediation

As enterprises deploy AI agents capable of executing code at machine speed, a new layer of security has become critical to prevent rogue operations. Sevii is addressing this shift by launching an AI Security module designed to transform runtime detections into autonomous, end-to-end cyber defense outcomes without human intervention.

Sevii Unveils AI Security Module for Autonomous Threat Remediation

Announced at the Crowdstrike Fal.Con 2026 conference in Las Vegas, the platform integrates with existing AI Detection and Response (AIDR) tools to manage the risks posed by prompt injections, jailbreaks, and agent hijacking. While traditional Endpoint Detection and Response agents provide necessary telemetry, Sevii positions its new module as the execution layer that carries out the actual cyber defense work triggered by those detections.

CEO and co-founder Curt Aubley explained that the system enables organizations to move beyond mere identification of malicious AI activity. Once an AIDR product flags a threat, Sevii’s "Cyber Warriors" autonomously investigate the incident, hunt for related compromises across the environment, and remediate affected systems. CTO Stephen Collins noted that the architecture operates above existing security stacks, utilizing established tools to perform reasoning and execution in minutes. The module, which includes the Aegis AI Cyber Warrior agent, handles the full lifecycle of a security event—from real-time ingestion of findings and retrospective hunting to outcome validation and continuous learning. Sevii is currently opening an early-access program for organizations looking to integrate this autonomous response capability into their current security infrastructure.

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