Govern Autonomous Agents
As AI agents gain autonomy, the attack surface expands. Adversaia™ (Ad-verz-A-I) provides the adversarial testing infrastructure to validate tool permissions, approval gating, and policy enforcement for AI-in-the-loop operations.
The Outcomes
Tool Permission Boundaries
Ensure agents cannot escalate privileges or access resources beyond their defined scope, even under adversarial manipulation.
Approval Gating Integrity
Verify that high-risk actions require human approval and cannot be bypassed through prompt injection or recursive calls.
Policy Enforcement
Test Decision Contracts to ensure agent outputs remain within safety and compliance boundaries under adversarial conditions.
What We Test
Recursive Logic Hijacking
Attacks designed to trap agents in infinite loops or force them to execute high-value actions via sub-perceptual instructions.
Cross-Agent Privilege Escalation
Testing how multi-agent systems interact under pressure, specifically focusing on privilege boundaries and access control.
Retrieval Hygiene & Source Allowlists
Validating that agents only retrieve information from approved knowledge sources and cannot be manipulated to access unauthorized data.
Metrics That Matter
Frequency of agents attempting to access resources outside their defined scope.
Instances where agents execute high-risk actions without required human approval.
Percentage of agent actions with complete lineage and audit trail coverage.
How the Pilot Works
Resilience Baselining (Week 1–2)
We integrate with your staging environment and establish your initial Attack Resilience Index (ARI) across your core workflows.
Adversarial Simulation (Week 3–4)
Using Cognitive Drift Injection (CDI), we execute thousands of synthetic attack scenarios to identify "breaking point" vulnerabilities in your decision logic.
Remediation & Retest (Week 5–6)
Your team applies patches based on our Findings. We run automated re-tests to verify the fix and provide a final Executive Resilience Report for leadership and regulators.