AI Red Teaming
AI Red TeamingAI Threat DetectionLLM Security/AI Guardrails
Description
Automated AI Red Teaming identifies critical risks such as prompt injection, data exposure, and unsafe agent behavior. It provides actionable remediation guidance and continuous evaluations to detect drift over time.
Key Differentiators
- Purpose-built for the nondeterministic nature of LLMs
- Risk scoring and evidence prioritization
- Continuous evaluations to detect drift
Features
- Automated testing against AI risks
- Actionable remediation recommendations
- Runtime protection for AI applications
Use Cases
- Identify vulnerabilities in homegrown AI apps
- Block prompt injections, data leaks, and toxic LLM content
- Secure AI-based code assistants like GitHub Copilot
Pricing
Model
contact-sales
Starting At
Contact vendor
Details
Trial / Tier
Free Trial
Deployment & Platforms
CloudOn-PremiseHybrid
WindowsLinuxmacOSAWSAzureGCP
Compliance
SOC 2HIPAAGDPR
Target Market
Company Sizes
enterprisegovernment
Industries
technologyhealthcarefinancial services
Contacts
| Name | Title | Phone | Type | |
|---|---|---|---|---|
| Itamar Golan | CEO & Co-founder | executive | ||
| Lior Drihem | CTO & Co-founder | executive |
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