Contains and remediates AI security incidents at runtime: isolation of compromised components and return to a safe state. Every action is traced.
Playbooks to contain and remediate AI security incidents.
Isolation of compromised components to limit propagation.
Return to a stable version on an anomaly after deployment.
Automatic interruption of a drifting flow.
Failover to a backup environment or model.
Detection (MTTD) and remediation (MTTR) time per incident.
Identification of an anomaly or attack
Assessment of impact and severity
Execution of the remediation playbook
Return to a safe state and report
Connection to security orchestration platforms.
Automatic isolation of failing components.
Return to a known, safe state via GitOps.
Validation of recovery mechanisms.
Switch to a standby environment.
Every response action reports to the sovereign controller, traced, with no cloud dependency.
Reverting to a stable version after a spike of anomalies in production.
Isolating a compromised agent before it spreads to other systems.
Failing over to a backup model on unavailability.
Submit your system, we return an exposure report and your response scenarios.