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Trident is a cloud and AI agent security platform built for engineering and security teams that deploy AI agents in production. It gives you full-fidelity observability into every LLM call your agents make, automated adversarial testing before you ship, a runtime firewall that blocks malicious prompts and outputs, and a cloud security graph that connects agent behavior directly to your cloud attack surface — all on a single data plane.

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Three pillars of agent security

Agent Observability

Capture every LLM call, tool invocation, MCP interaction, and approval as a structured trace. Replay, diff, and analyze agent behavior at any point in time.

Automated Red-Teaming

Fire 200+ adversarial attack vectors — prompt injection, jailbreaks, tool-call hijack, indirect injection, encoding bypass, MCP exploitation — against your agents before and after deploy.

Runtime Firewall

Scan every incoming prompt and outgoing response in real time. Operator-confirmed findings auto-mint ban rules that propagate to the firewall within 5 minutes.

Cloud Security Graph

Map cloud assets, identities, and data stores into a security graph. The toxic-combo engine finds multi-hop attack paths that chain a compromised agent through privileged cloud roles to sensitive data.

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How Trident fits into your workflow

Trident follows a four-stage loop that keeps your agents secure from development through production:
  1. Instrument — Add the TypeScript or Python SDK to your agent in one init() call. Every LLM call is automatically traced with zero changes to your model code.
  2. Test — Run automated red-team campaigns against your agent using Trident’s attacker library. Findings are scored by OWASP category and AIVSS severity so you know what to fix first.
  3. Protect — Route agent traffic through the Trident firewall gateway. The firewall runs a two-stage scan: your project’s tenant deny-bank first, then LLM Guard scanners. Blocked patterns feed back into the ban-rule bank automatically.
  4. Respond — Triage findings in the dashboard, replay attacks to verify fixes, generate remediation PRs with Sentinel, and monitor ongoing agent behavior with no-code Signals.

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Supported frameworks and providers

Trident auto-instruments agents built on any of these platforms — no manual span creation required:
AI ProvidersAgent Frameworks
OpenAI, Anthropic, AWS Bedrock, Google VertexAI, CohereLangChain, LlamaIndex, CrewAI, MCP

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Get started

Quickstart

Instrument your first agent and see traces in the dashboard in under 5 minutes.

Agent Security

Learn how to register agents, run red-team campaigns, and interpret findings.

Cloud Security

Connect your cloud accounts and explore the security graph and toxic-combo engine.

TypeScript SDK

Install @vouch-ai/sdk and explore the full SDK reference.