Secure AI Agents
Across Your Team
Your team members bring personal AI assistants into the workspace. Your team builds customer-facing agents. OpenGuardrails protects both.
Two Dimensions of Team AI Security
Personal Assistants & Customer-Facing Agents
Members Bring Their Own AI Assistants
Every team member now uses personal AI assistants — coding with Cursor, managing tasks with OpenClaw, automating with Claude. These agents access your team's shared files, repos, and tools.
Customer-Facing Agent Security
Your team ships AI-powered products. Chatbots, copilots, agent workflows that interact with your customers. These agents must be safe, compliant, and under control.
Red Teaming & Security Evaluation
Assess Your Team's AI Security Posture
Comprehensive security evaluation covering both internal AI assistant usage and customer-facing agent deployments.
Internal Agent Testing
Test how team members' AI assistants handle malicious inputs, shared resource access, and scope boundaries.
Product Agent Adversarial Testing
Systematic prompt injection, jailbreak, and manipulation attacks against your customer-facing agents.
Data Leakage Assessment
Evaluate risks of sensitive data exposure across both internal workflows and external-facing products.
Cross-Agent Risk Analysis
Identify risks when multiple agents interact with shared team resources and data.
Content Safety Audit
Evaluate your product agents' handling of harmful, sensitive, and policy-violating content across languages.
Compliance & Policy Review
Assess alignment with industry standards and team-specific security policies.
Secure AI Across Your Entire Team
From personal assistants to product agents — one platform, unified security.