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Adversarial validation

Test AI applications like production systems

Governance AI Red Team focuses on how AI systems can actually be bypassed, exploited, or manipulated in production-like conditions.

Find what improves runtime and policy posture

Prompt injection

Test whether agents and copilots can be manipulated away from expected policy or task constraints.

Data exfiltration

Probe whether models, tools, or retrieval layers can leak sensitive data or governance-relevant context.

Tool abuse

Validate whether tool invocation paths can be coerced into unsafe, over-broad, or policy-breaking actions.

Bypass attempts

Measure whether defenses, filters, and guardrails can be evaded by realistic adversarial interaction.

Testing connected to operational remediation

Issue detail view with evidence and context
Issue detail and evidence

Technical context, governance implications, and next actions in the same incident surface.

Runtime guardrails bench view
Runtime guardrails

Guardrail design and runtime evaluation over prompts, outputs, and tool calls.

Policy Center operational governance view
Policy orchestration

Policies, frameworks, detections, and exceptions linked in one operational control layer.

Test AI systems like production systems

Red teaming is most valuable when findings feed policy, runtime controls, and governance evidence in the same platform.