Secure Your AI Agents

An AI agent identity is a unique, first-class identity separate from human users. Unlike traditional service accounts that share credentials, AI agent identities in TigerAccess have their own certificate-based authentication, scoped permissions, and embedded safety controls like rate limits and action budgets. Each agent gets a short-lived certificate (1 hour TTL) with explicit resource allowlists and behavioral constraints.

While human users get certificates with 1-12 hour TTLs and interactive session controls, AI agents receive 1-hour certificates with embedded safety mechanisms: rate limits (requests/second), action budgets (max operations per session), explicit resource scopes (allowlists only), and circuit breaker thresholds. AI agents operate at machine speed and require different controls - they need stricter automation guardrails rather than interactive approvals.

Action budgets are hard limits on the number of operations an AI agent can perform in a single session (e.g., max 100 database queries, max 50 file writes). They prevent runaway agents from causing massive damage due to bugs or prompt injection attacks. When an agent exhausts its budget, its certificate is immediately revoked, and it must request a new session with explicit justification. This limits the blast radius of any single agent session.

Circuit breakers monitor AI agent behavior in real-time and automatically intervene when anomalies are detected. TigerAccess tracks patterns like sudden spikes in resource access, repeated failed operations, or access to unusual resources. When an anomaly score exceeds the threshold, the circuit "opens" - the agent's certificate is revoked, sessions are terminated, and administrators are alerted. The agent must be manually reviewed and re-authorized before resuming operations.

Yes! TigerAccess provides SDKs for major AI frameworks including LangChain, AutoGPT, LlamaIndex, and more. Our client libraries handle certificate authentication, automatic renewal, and safety control enforcement transparently. You can wrap your existing AI agents with TigerAccess authentication in just a few lines of code. We also support the Model Context Protocol (MCP) natively for tool execution.

When an agent exceeds rate limits, TigerAccess implements a sliding window backoff: the agent receives a 429 (Rate Limited) response and must wait before retrying. The waiting period increases with repeated violations. If an agent persistently violates rate limits (indicating a bug or attack), it triggers the circuit breaker, revoking the certificate and requiring manual review. All rate limit violations are logged in the audit trail with full context.

Every AI agent action is logged to ClickHouse with rich context: agent ID, action type, target resource, timestamp, outcome, and most importantly - the "reason" field that explains why the agent performed the action. Sessions are recorded with full command logs, resource access patterns, and token usage. You can query audit logs by agent, resource, time range, or anomaly score. All audit data is tamper-proof and retained per your compliance requirements.

Yes, TigerAccess has native support for the Model Context Protocol (MCP). AI agents can access MCP tools through our secure proxy, which enforces the same safety controls as other protocols. Each tool execution is authenticated, rate-limited, and audited. Resource scopes apply to MCP tools as well - agents can only execute tools explicitly allowed in their certificate. We support both standard MCP servers and custom tool implementations.