AI Proving Grounds
Validate AI Agents Against AI-Fueled Attacks
Establish trust, quantify agentic risk, and prove economic ROI in a zero-risk, realistic replica of your environment.
Prove Agentic Readiness and Quantify Risk
How do security leaders prove that newly deployed AI agents will behave as expected when a Mythos- or Daybreak-fueled zero-day hits?
Using autonomous agents introduces unprecedented exposure. Validate AI agents across agent functionality, governance boundaries, agentic attack surface risk, and financial ROI in an exact replica of your environment to drive ongoing business resilience.
The Proof Blueprint: Rigorous Agentic
AI Validation
Safely launch cyberattacks directly against autonomous agent architectures to assess their decision-making logic, map failure thresholds, and establish trust in your AI-empowered SOC.
Agentic Functionality
Confirm whether the agent completes intended tasks, detects living-off-the-land (LoTL) techniques, and executes playbook steps accurately under adversary pressure.
Governance & Autonomy Boundaries
Interrogate decision logic, verify policy compliance, enforce permission guardrails, and test human-in-the-loop escalation gates.
Attack Surface & Introduced Risk
Quantify newly introduced vulnerabilities such as data tampering, excessive privileges, and cascading failure costs.
Economic ROI
Evaluate time-to-action improvements, capacity released, and operational throughput against compute, licensing, oversight, and failure overhead.
How It Works
Install in a Digital Replica Range
Rapidly host internal or third-party AI agents inside a zero-risk digital twin of your actual environment.
Execute Adversarial Stress-Testing
Run continuous attack loops across adversary techniques, outages, and incomplete or misleading telemetry.
Score Performance & Trajectories
Measure step-by-step tool usage, error recovery, and escalation timing—not just final outcomes.
Decide Using Auditable Evidence
Evaluate task quality, mission continuity, and total operating cost against buyer-approved threshold scorecards.
Key Outcomes
Optimized Preemptive Signals
Quantify whether agents enhance security or create structural vulnerabilities before deployment.
Consolidated Spending & Defensible ROI
Present board-ready, auditable evidence balancing capability gains against total operating costs.
Accelerated Mission & Business Resilience
Prove critical operational functions will survive breaches and degraded conditions—faster.
Validate Your Agents in the AI Proving Grounds.
Research Report
The State of Agentic Cybersecurity
How Security Leaders Are Validating, Operationalizing, and Building AI Agents & Human Operators to Defend Together
