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AI Risk
Launch AI features with confidence.
Build and scale AI without risking brand damage, regulatory exposure, or user harm.
Build and scale AI without risking brand damage, regulatory exposure, or user harm.
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98%
Harmful Output Detection Rate
80%
Reduction in Policy Violations
Real-time
Risk Detection
Deployed at Scale by
$10B+
Marketplace
Marketplace
$100B+ Payments
Provider
Provider
And more
$10B+
Marketplace
Marketplace
$100B+ Payments
Provider
Provider
And more
$10B+
Marketplace
Marketplace
$100B+ Payments
Provider
Provider
And more
Why SafetyKit?
SafetyKit delivers continuous, automated AI risk monitoring at production scale—identifying vulnerabilities, unsafe outputs, and compliance gaps that static testing and manual red-teaming miss.
Agentic Red-Teaming & Adversarial Testing
AI agents simulate real user behavior and adversarial prompts to discover jailbreaks, unsafe completions, and policy gaps across LLMs, image, and multimodal systems. Automatically generate test cases and structured evidence before deployment.
Continuous Production Monitoring
Monitors millions of live AI interactions daily across chat, search, voice, and generation tools. Detects emerging risks—like toxic outputs, prompt injection, and privacy violations—in real time, enabling continuous alignment and regulatory defensibility.
Multimodal Risk Detection
Analyzes text, image, audio, and video content for jailbreaks, hidden exploits, and multimodal attacks. Protects against manipulation via metadata, embedded code, or cross-modal context injection.
Safety Evals & Compliance Reporting
Quantifies the prevalence and severity of unsafe outputs, tracks model drift, and generates audit-ready evidence for internal governance or external regulators. Helps platforms prove progress toward AI risk benchmarks and safety goals.
How Customers Use
SafetyKit for AI Risk and Safety
Platforms Launching AI Features
Marketplaces, payment networks, and enterprise platforms use SafetyKit to validate and monitor AI-driven customer support, recommendations, and automation tools. SafetyKit tests for vulnerabilities that could leak user data, approve fraudulent transactions, or recommend prohibited content—ensuring AI adoption strengthens rather than compromises trust.
100%
AI Features Tested Pre-launch
>95%
Detection across Data Leaks, Fraud, and Unsafe Content
Sub-Second
Blocking of Unsafe AI Outputs
AI-Native Platforms (LLM, Generative, and Conversational)
AI-first companies use SafetyKit to red-team, moderate, and evaluate generative and conversational systems—ensuring safe, policy-aligned behavior before and after deployment.SafetyKit identifies adversarial prompts, biased or harmful outputs, and context leaks across text and multimodal models, helping teams build robust AI safety infrastructure.
>90%
Faster Abuse Detection
97%
Adversarial Prompt Detection Rate
<50ms
Latency for Real-time Guardrails