The Enterprise control plane for multi-agent AI workflows.
Let your AI agents move fast. Keep control at every step.
A complete, opinionated stack for enterprise-grade multi-agent operations.
Multi-stage validation: fast regex pre-checks followed by deep cognitive LLM audits for tone, generalizations, and regulatory violations.
Flagged outputs pause instantly in a governance inbox. Operators review, rewrite, approve, or block agent responses before they reach users.
LangSmith-integrated trace explorer. Drill into latency, token consumption, cost attribution, and tool calls across every LangGraph workflow.
Register OpenAI, Anthropic, Azure, Bedrock, Groq, or self-hosted endpoints. Route per agent with fallback logic, rate limiting, and cost caps.
Define YAML-based rule sets. Block competitor mentions, financial advice, PII, and domain-specific violations with full operator audit trails.
Visual multi-agent pipeline builder. Wire agents together, manage state machines, and monitor live execution graphs end-to-end.
Build and deploy sophisticated multi-agent workflows with visual pipeline tooling. Each step is observable, governable, and recoverable with full LangGraph compatibility.
Connect OpenAI, Anthropic, Azure, Bedrock, Groq or any custom endpoint with cost caps & rate limits.
Import LangGraph workflows, assign providers, personas, tool access, and governance rule sets.
Configure real-time safety guardrails for compliance, brand safety, PII protection & prompt injection defense.
Every run is traced end-to-end. Flagged outputs land in the governance inbox for human review.
Every agent output passes through a configurable policy stack. Suspicious responses are instantly paused and routed to your inbox, never silently dropped.
Select attack vectors or enter live payloads below to observe how AgentClamp detects, sanitizes, and enforces compliance policies across multi-agent pipelines in milliseconds.
Detected adversarial prompt override pattern matching OWASP LLM01 direct injection vector.
Continuous real-time posture assessment across every agent and LLM pipeline. Eliminate manual audit preparation with automated control mapping and evidence collection.
Automated 4-tier risk classification (Minimal, Limited, High, Unacceptable). Enforces Article 10–15 mandatory logging, human oversight, and data governance controls.
Continuously scores the GOVERN, MAP, MEASURE, and MANAGE pillars by analyzing active guardrail coverage, bias detection metrics, and human-in-the-loop review logs.
Specifies requirements for establishing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) with full lifecycle audit trails.
AI Risk Management guidance verifying systematic risk identification, automated treatment (block, mask, redact, HITL), and continuous risk monitoring.
Inspect real-time compliance readiness per agent, review missing controls, download JSON audit certificates, and maintain complete regulatory peace of mind.
Join security-conscious teams shipping safer, more reliable AI, backed by real-time governance and deep observability.