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Test, Secure, and Validate Your AI with Confidence
A comprehensive AI testing platform for evaluating security, safety, quality, privacy, fairness, and hallucinations. Discover vulnerabilities, uncover hidden risks, and continuously validate AI models, systems and agents with automated testing, red-teaming, and AI pentesting.
AI Red Teaming
Move beyond generic benchmarks with use-case-specific evaluations. Generate tailored test datasets, simulate real-world scenarios, and uncover risks unique to your AI systems, agents, and workflows.
AI Pentesting
Identify AI vulnerabilities before attackers do. Test against hundreds of OWASP-aligned attack scenarios covering prompt injection, data leakage, jailbreaks, excessive agency, and other AI-specific security risks.
Regulatory Alignment
Support compliance and governance initiatives with assessments aligned to the EU AI Act and OWASP guidance, helping teams evaluate security, safety, privacy, fairness, and transparency risks.
Built for AI and Security Teams
Designed for AI engineers, product teams, red teamers, CISOs, and governance stakeholders responsible for building and deploying trustworthy AI.
One Platform for Complete AI Assurance
Out-of-the-box AI testing
Identify vulnerabilities such as prompt injection, jailbreaks, data leakage, excessive agency, and other AI-specific attack vectors before they can be exploited.
Stress-test AI systems using adversarial prompts, realistic user interactions, and custom scenarios designed around your specific use cases.
Measure correctness, consistency, instruction-following, and real-world performance to ensure AI systems behave as intended.
Evaluate privacy, fairness, harmfulness, and compliance risks through comprehensive assessments across multiple dimensions of AI behavior.
Hundreds of Tests with a Single Click
Launch hundreds of automated tests across security, safety, privacy, reliability, compliance, and performance.
Evaluate AI systems against realistic attack scenarios inspired by the latest research and emerging threats.
Access hundreds of ready-to-run benchmarks covering critical AI risk categories and evaluation domains.
Receive detailed findings, evidence, risk ratings, and remediation guidance to accelerate risk mitigation.
Move Beyond Benchmarks
Every AI application has distinct workflows, users, and risks. Evaluate what matters most to your business.
Automatically create use-case-specific evaluations tailored to your tasks, domains, and operational requirements.
Identify weaknesses and edge cases that generic benchmarks fail to expose.
Measure performance against the scenarios and objectives that define success for your organization.
Comprehensive AI Risk Coverage
Assess security, safety, privacy, fairness, compliance, and reliability risks through a unified testing framework built for production AI.
Identify vulnerabilities, harmful outputs, hallucinations, biased behavior, and sensitive data exposure before they impact users.
Test how AI systems respond to adversarial inputs, edge cases, unexpected situations, and evolving threat landscapes.
Generate actionable insights that help teams improve AI quality, safety, robustness, and governance.
Continuous AI Testing
Create and maintain test suites for critical AI capabilities, risks, and business requirements.
Run evaluations automatically throughout development and deployment workflows with minimal manual effort.
Identify performance, security, and safety degradations whenever models, prompts, tools, or data sources change.
Standardize AI testing practices across teams, systems, and environments using shared test suites and workflows.
Built for AI Governance and Regulatory Alignment
Assess AI systems against organizational policies, industry standards, and emerging regulatory requirements.
Generate reports, findings, and test results that support governance processes and stakeholder reviews.
Continuously evaluate security, safety, privacy, fairness, and transparency requirements across AI systems.
Establish repeatable testing processes that help demonstrate responsible AI development and deployment practices.
Validaitor in Numbers
90%
Reduction in AI pentesting costs
30+
Risk categories covered
95%
Reduction in AI testing efforts
