Autonomous Risk Management for AI Scale

Automate risk identification, assessment, and monitoring across AI systems and agents. Leverage AI-specific risk libraries, integrated testing evidence, vendor intelligence, and contextual risk profiling to operationalize AI governance at scale.

Automated Risk Profiling

Automatically identify and assess AI risks based on your AI system's purpose, context, deployment model, users, data flows, and business impact.

Integrated Risk & Testing

Connect risk management directly with red teaming, AI testing, and security assessments to continuously validate risks with real-world evidence.

Third-Party AI Intelligence

Gain visibility into supplier and vendor risks through AI-specific vendor profiling, helping you manage risks across your AI value chain.

Built for AI Governance at Scale

Manage risks across thousands of AI systems and agents through a streamlined, automated, and repeatable risk management process.

AI Risk Management Fully Integrated with AI Testing

Context-Aware Risk Profiling

Capture key information about intended purpose, users, autonomy levels, deployment environments, and business criticality to automatically build AI-specific risk profiles.

Eliminate manual risk discovery by automatically surfacing risks relevant to your AI system's characteristics and usage patterns.

Continuously refine risk profiles as AI systems evolve, ensuring risk assessments remain accurate over time.

Focus attention on the most impactful risks using contextual risk scoring designed specifically for AI environments.

Extensive AI Risk Library

Leverage an extensive risk library combining risks from NIST AI RMF, the MIT AI Risk Database, and the Validaitor AI Risk Database.

Explore thousands of documented risk scenarios spanning security, privacy, safety, fairness, reliability, compliance, and operational concerns.

Access risks tailored to AI applications, foundation models, RAG systems, copilots, and autonomous AI agents.

Stay ahead of emerging risks through ongoing updates informed by evolving AI threats, regulations, and industry best practices.

Risk Management Driven by Evidence

Link identified risks directly to findings from AI red teaming, pentesting, and evaluation activities to move beyond theoretical assessments.

Understand which risks are actively validated through testing and which require additional controls or mitigation.

Manage risks, controls, vulnerabilities, and testing outcomes through a single, integrated workflow.

Monitor remediation efforts and continuously measure how testing activities improve your overall AI risk posture.

Third-Party AI Risk Intelligence

Assess third-party AI providers, models, platforms, and services through structured risk intelligence and supplier evaluations.

Gain a better understanding of risks introduced through external AI technologies and dependencies.

Apply standardized risk methodologies across both internally developed and externally sourced AI systems.

Support procurement, governance, and compliance teams with risk-informed vendor selection and monitoring.

Governance & Regulatory Alignment

Map identified risks to regulatory and governance requirements, helping teams prepare for evolving AI regulations.

Create auditable records of risks, controls, assessments, and mitigation activities through a structured governance process.

Monitor risk exposure and control effectiveness as AI systems change over time.

Align AI, security, risk, legal, compliance, and executive stakeholders around a shared understanding of AI risks.

Validaitor in Numbers

1000+

AI risk scenarios

100%

Risks linked to testing evidence and findings

95%

Reduction in AI risk assessment time

Integration of AI testing with risk management ensures quantifiable and scientific risk and impact assessments.

01

Validaitor operates independently from the major AI vendors. Access to world's most comprehensive vendor evaluations enables controlling the vendor risks.

02

Risk scenarios from our comprehensive AI risk library simplify the risk identification, impact assessment and treatment plans.

03

Towards Trust in AI

Validaitor's benefits exceed the traditional risk management approaches that fall short of coping with the complexities of AI systems.