AgentRisk Score
An AI-agent audit platform that runs thousands of failure-path simulations against a customer's deployed agent and returns a quantified residual-risk report the board can sign off on.
CISOs and heads of automation at mid-market enterprises piloting AI agents
- Pre-deployment failure-path simulator that outputs a residual-risk score with confidence bounds
- Plain-English mitigation playbook ranked by expected risk reduction
- Continuous post-launch monitoring with drift and incident scoring
- Exportable audit pack formatted for board, regulator or insurer review
Enterprises are approving agent rollouts faster than risk teams can review them; the missing piece is exactly this kind of quantified framework.
Multiple recent CISO-targeted guides (Anthropic, Cisco, iEnable, LinkedIn/Aegis) explicitly frame AI-agent risk assessment as an unsolved board-level gap, indicating active buyer interest.CISO's guide to agentic AI | Claude by Anthropic ↗AI Agent Security Risk Assessment: A CISO's Practical Framework ↗Zero Trust for Agentic AI Security - Cisco ↗
Crowded adjacent space: Arthur AI (self-described first ADG platform), Fiddler AI Trust Service, IBM watsonx.governance, Microsoft Purview/Agent 365, Bitsight, Zenity, Rubrik Agent Cloud, plus red-team tools (Giskard, Mindgard, Confident-AI, Microsoft AI Red Teaming Agent); the specific 'quantified residual-risk report' niche is narrower but still contested.9 Best AI Agent Governance Platforms in 2026 - Superblocks ↗Top 10 AI Agent Governance Platforms Compared (2026) ↗Best Platforms for Securing Against AI Agents and Agentic AI in 2026 - Bitsight ↗
Enterprise 'contact-sales' pricing dominates the category (Fiddler, Arthur, watsonx.governance, Zenity, Deeploy), with G2 reviewers complaining products are 'too costly' — evidence of high ACVs and proven willingness to pay in regulated industries like financial services and healthcare.9 Best AI Agent Governance Platforms in 2026 - Superblocks ↗Best AI Red Teaming Tools (2026): 31 Tools Compared - Mindgard ↗
Regulatory tailwinds are durable: EU AI Act, NIST AI RMF, ISO 42001, GDPR, HIPAA, SR 11-7 are explicitly mapped by incumbents, and boards are being asked to sign off on agent deployments — quantified risk reporting becomes a recurring annual/quarterly compliance artifact.9 Best AI Agent Governance Platforms in 2026 - Superblocks ↗
Building thousands of failure-path simulations requires a large attack/probe library, deep integrations across LangChain/OpenAI Agents/Bedrock/Vertex, and costly LLM-in-the-loop execution; existing pieces (Giskard scan, Microsoft AI Red Teaming Agent) show parts are solvable but a unified residual-risk score with board-grade evidence is a multi-quarter build, not trivial.AI Red Teaming Scan | Giskard Documentation ↗AI Red Teaming Agent - Microsoft Foundry ↗