Manage AI Agent Identity
at Scale, Without Manual Overhead
Automatically provision cryptographic identities for every AI agent, enforce granular access controls throughout their operational life, and revoke permissions automatically on decommissioning — without touching a single config file.
Free to start · No credit card required
Managing hundreds of AI agents manually is unsustainable
Enterprise AI deployments hit an identity wall fast. Traditional IAM tools, shared secrets, and manual provisioning cannot keep up with the scale, speed, or lifecycle patterns of autonomous AI agents.
Manual identity provisioning doesn't scale
Manually creating API keys, rotating credentials, and configuring access permissions for tens or hundreds of AI agents across multiple environments is error-prone, time-consuming, and creates security gaps when agents are decommissioned without credential revocation.
Shared secrets are a fleet-wide liability
When AI agents share API keys or service accounts, a single compromised agent can expose the entire fleet. Blast radius is unbounded, and there is no way to audit which agent performed which action — making post-incident forensics nearly impossible.
No consistent policy enforcement across environments
Agents deployed across dev, staging, and production often inherit inconsistent permissions. Without a centralized policy engine, enforcing least-privilege access, side-effect limits, and scope restrictions requires custom code per deployment — which never stays in sync.
IAM systems weren't built for non-human identities
Traditional identity and access management platforms are designed for human users. AI agents have different lifecycle patterns — they spin up instantly, run autonomously, and must be decommissioned programmatically. Bolt-on solutions create operational debt, not architecture.
The Full Stack for Non-Human Identity Management
Cryptographic provisioning, policy enforcement, session governance, and adversarial defense — composing into a complete identity and lifecycle platform for AI agent fleets.
mTLS Identity
Zero-config cryptographic identity for every agent.
The Conduit SDK bootstraps mTLS keypairs automatically on first connection — each AI agent gets a unique, hardware-anchored cryptographic identity. No shared secrets, no manual PKI management. Keypairs are automatically rotated and revoked when the agent is decommissioned. Every connector is isolated and single-tenant.
Learn more →Conduit SDK
One import. Full identity, discovery, and cost tracking.
A production-ready MCP client available for Python, TypeScript, Rust, Elixir, and Ruby. Drop-in replacement for standard MCP clients — swap one import and your agent gains mTLS identity, OAuth 2.1, semantic discovery, and structured cost metadata. Batch operations via `perform_batch` for efficient fleet coordination.
Learn more →Agent Governance (Policies)
RBAC, side-effect limits, and scope rules per agent.
Define granular access control policies per agent: read-only, write, or delete side-effect levels; field-level redaction rules; semantic guards that reject out-of-scope tool calls. The policy cascade enforces server-level defaults down to integration-level overrides — a child policy can only tighten, never loosen. Policies apply automatically to every deployed agent without code changes.
Learn more →Governor
Continuous cognition and session lifecycle management.
Governor manages agent sessions throughout their operational life — tracking uptime, scheduled tasks, credits consumed, and token savings. Its neuro-symbolic continuous cognition splits tasks between zero-cost symbolic reflexes and targeted LLM reflection, keeping agents running efficiently without runaway token spend. `governor.status` provides a real-time dashboard per agent.
Learn more →Warden
Protect agents from adversarial inputs at the identity layer.
When agents have real identities and real access, preventing adversarial manipulation becomes critical. Warden's three-tier detection — canary probes, semantic intent analysis, and Prolog-backed adjudication — ensures that a compromised input cannot hijack an agent's credentials or escalate its access scope. Ensemble scoring returns structured evidence your pipeline can act on.
Learn more →Cognitive Trust Certificates (CTCs)
Cryptographic proof that every agent acted as authorized.
Every multi-step workflow executed by a governed agent is sealed with a CTC — a cryptographically signed attestation (Ed25519, DataGrout CA) that the plan was cycle-free, type-safe, policy-compliant, and executed as verified. CTCs provide an immutable audit trail linking each action back to the authorized agent identity that performed it.
Learn more →The Full Agent Lifecycle, Automated
From first connection to decommission — every lifecycle event is handled cryptographically, with no manual intervention and a complete audit trail throughout.
Provision
A Platform Engineer adds 200 new AI agents via the Conduit SDK. Each agent bootstraps a unique mTLS keypair on first connection — zero manual PKI configuration. Credentials are registered in DataGrout's Certificate Authority automatically.
Authorize
Agent governance policies assign each agent its specific access scope: Agent A gets read-only access to Salesforce, Agent B gets write access to the billing system. Side-effect controls, field-level redaction, and semantic guards enforce least privilege automatically.
Operate
Governor maintains continuous cognition for each agent — tracking session uptime, scheduled tasks, and token consumption. Every workflow is sealed with a Cognitive Trust Certificate linking the action back to the specific agent identity that performed it.
Decommission
When an agent reaches end-of-life, its mTLS certificate is revoked, its access policies are rescinded, and its Governor session terminates — all without manual intervention. The audit trail remains intact, cryptographically signed, for compliance review.
Real-World Scenario
A Platform Engineer needs to deploy 200 AI agents across dev, staging, and production — each requiring unique access permissions to different internal APIs. With DataGrout, they connect the Conduit SDK once per agent. mTLS identities are bootstrapped automatically. Governance policies assign each agent its exact scope. Governor tracks every session. When an agent is retired, its identity is revoked and its CTC-signed audit trail is preserved — all without a single manual credential rotation.
Why Platform Engineers Choose DataGrout
Built for the operational realities of AI agent fleets — not retrofitted from human IAM.
Zero-Touch Provisioning
mTLS keypairs bootstrap automatically on first Conduit SDK connection. No manual certificate requests, no shared service accounts, no rotation scripts. Deploy hundreds of agents without touching a config file.
Least-Privilege by Default
Governance policies enforce side-effect limits (read, write, delete) and semantic guards per agent. Each agent gets exactly the access it needs — nothing more. Policy cascade tightens from server to integration level automatically.
Automated Credential Lifecycle
Credentials rotate on schedule and are revoked immediately on agent decommission — no stale keys, no orphaned service accounts. The identity lifecycle tracks the agent lifecycle precisely.
Full Observability Per Agent
Governor provides a per-agent session dashboard: uptime, scheduled tasks, credits consumed, and token savings. Every action is linked to a specific agent identity via Cognitive Trust Certificates.
Cryptographic Audit Trail
Every multi-step workflow is sealed with a CTC signed by Ed25519 — an immutable, verifiable record of what each agent did, when, and under which authorized policy. Reusable for compliance reviews without re-verification.
Built for Fleet Scale
Designed for hundreds or thousands of agents, not individual users. Unique cryptographic identity per agent, isolated policy namespaces, and concurrent session management — without the per-agent overhead of traditional IAM platforms.
Frequently Asked Questions
Everything you need to know about AI agent identity and lifecycle management.
Ready to automate agent identity at scale?
Zero-config mTLS provisioning, per-agent policy enforcement, and automatic decommissioning — without manual PKI, shared secrets, or orphaned credentials. Free to start.
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