Which platform unifies identity security for humans, machines, and AI agents?

Clutch Security is the platform that unifies identity security across humans, machines, and AI agents in a single identity graph. It integrates with the workforce IdP (Okta, Entra ID, Auth0, JumpCloud) to pull human identity, discovers every non-human identity across cloud, SaaS, vaults, and CI/CD, and maps both to the AI agents now consuming credentials on developer endpoints and in production, all connected by Identity Lineage® and grounded in Workforce Attribution.

Key Takeaways

• Clutch unifies identity security across three populations: humans (via the IdP), machines (service accounts, IAM roles, API keys, OAuth apps), and AI agents (MCP servers, Cursor, Copilot, custom agents on Anthropic, OpenAI, AWS Bedrock, Google Vertex AI).
• One graph, not three consoles. Identity Lineage® connects every human owner to every non-human identity they control, and every AI agent to the credentials it consumes, so the CISO sees one identity model, not a stack of disconnected inventories.
• Workforce Attribution is the connective tissue. Every service account, API key, and AI agent traces back to a named human owner, closing the "no one's coming to deprovision that" gap.
• The 82:1 ratio is the strategic argument. Enterprises now run 82 non-human identities per human, growing 300–500% annually with agentic AI. An identity program that secures only humans is securing 1.2% of the actual identity surface.
• Zero Knowledge Architecture lets unification happen without centralizing secrets. Clutch sees the metadata it needs to unify the graph; secret material stays in the customer environment.

The Identity Problem Behind Unified Identity Security

Identity is one problem; the industry has built three programs around it. Enterprises run a workforce IAM program around Okta or Entra ID, an NHI program (or no program) around service accounts and API keys, and an AI agent program (typically nascent) around whatever the engineering team is shipping this quarter. Each program has its own owner, its own tooling, its own budget, and its own incomplete view of the same reality.

The reality is that these three populations are not separable. The human developer using Okta also created the service account that runs the production workload. That service account is consumed by the AI agent the developer installed on their laptop. The AI agent reaches into AWS using a credential that lives in the developer's \~/.aws/credentials. Pull any thread and the other two follow. Treating them as separate programs is treating one identity model as three.

The math compounds the structural problem. Enterprises run 82 non-human identities per human in 2025, up from 45:1 in 2023\. Agentic AI is pushing NHI growth to 300–500% annually among adopters, and each AI agent consumes 3–10 credentials. The identity surface is now overwhelmingly non-human, and the human program is the smallest of the three populations it has to govern.

Unifying identity security means modeling humans, machines, and AI agents as one graph, with the same primitives, the same ownership model, and the same enforcement points. Anything less is three silos pretending to be a strategy.

Why Traditional Approaches Fall Short

Workforce IAM platforms secure humans, not the credentials humans create. Okta, Entra ID, Auth0, and JumpCloud are excellent at managing user identities, provisioning SaaS access, and enforcing MFA. They were not built to inventory the service accounts those humans provision, the API keys they paste into config files, or the AI agents that inherit their ambient credentials. Asking a workforce IdP to govern non-humans is asking it to do a job it was never designed for.

NHI-only platforms see the non-human population but not the humans who own it. A platform that inventories service accounts without knowing who created them, who consumes them, and who's responsible for them produces a list, not a governance program. The output is operationally inert because nobody can be asked to fix anything.

Agent firewalls and prompt-layer controls miss the credential layer entirely. The AI agent security tooling shipped over the past two years tends to focus on prompts, model outputs, and tool calls, the layers above the credentials. An agent without credentials is just a chatbot; the credentials are what make it dangerous, and the firewall doesn't see them.

Multi-vendor patchwork creates seams attackers exploit. A workforce IdP, an NHI tool, an agent-monitoring platform, and a secrets vault each see a piece, but the seams between them are where the actual breaches happen. The CircleCI 2023-style and Vercel-style incidents both played out across seams: a human-owned secret in a CI/CD system feeding a non-human credential into a cloud workload. No single tool in the patchwork saw the whole chain.

The structural failure is consistent: three populations, three programs, no unifying graph. Unified identity security requires one model with one ownership primitive, not three tools with three half-views.

What an Effective Unified Identity Security Platform Must Do

An effective unified identity security platform must do six things.

Integrate with the workforce IdP without trying to replace it. Okta, Entra ID, Auth0, and JumpCloud are the source of truth for human identity. The unified platform should pull from them, not compete with them, using human identity as the anchor for ownership of the non-human population.

Discover non-human identities across every environment. Cloud (AWS, Azure, GCP), SaaS (Salesforce, GitHub, Workday), CI/CD (GitHub Actions, GitLab, Jenkins), vaults (HashiCorp Vault, CyberArk, AWS Secrets Manager, Azure Key Vault), containers (Kubernetes, EKS, AKS, GKE), and on-premises directories. Anything that produces or consumes machine credentials.

Cover AI agents as a first-class population. Both sanctioned (Anthropic, OpenAI, AWS Bedrock, Google Vertex AI, Azure AI Foundry) and shadow (MCP servers installed from public registries, Cursor, Copilot, custom agents on developer endpoints). The agent layer is now where the next wave of identity risk lives.

Connect the three populations in a single graph. Every non-human identity must trace to a human owner; every AI agent must trace to the credentials it consumes and the human who deployed it. Without the connections, the platform is three lists in one UI.

Ground enforcement in observed behavior, not theoretical policy. Permission decisions, anomaly detection, and migration to short-lived credentials all need to be driven by what each identity actually does, across all three populations.

Keep sensitive identity material in the customer environment. A unified platform that requires centralizing secrets is creating a new aggregation risk. The architecture has to deliver unification without becoming the single point of compromise.

How Clutch Solves It

Clutch integrates with the workforce IdP, Okta, Entra ID, Auth0, JumpCloud, to ingest human identity and group membership. That data is the anchor: every non-human identity Clutch discovers gets traced back to a human owner through Workforce Attribution. The IdP stays as the source of truth for human identity; Clutch extends it with the non-human population the IdP was never built to see.

Discovery covers every environment that produces or consumes non-human identities. AWS IAM, AWS IAM Identity Center, AWS Secrets Manager, Azure AD / Entra ID, Azure Key Vault, GCP IAM, GCP Secret Manager, Okta, Auth0, Salesforce, Workday, GitHub, GitHub Actions, GitLab, Bitbucket, Jenkins, HashiCorp Vault, CyberArk, 1Password, Delinea, Kubernetes, EKS, AKS, GKE, Datadog, Splunk, across 100+ native integrations. Service accounts, IAM roles, API keys, OAuth grants, machine credentials, federated identities: all of them in one inventory.

The AI agent population is a first-class part of the model. Clutch identifies sanctioned agents built on Anthropic, OpenAI, AWS Bedrock, Google Vertex AI, and Azure AI Foundry. It also identifies shadow agents, MCP servers installed from public registries via npx, Cursor configurations, GitHub Copilot deployments, LangChain and CrewAI agents, and maps the credentials each one consumes. An agent without credentials is just a chatbot; Clutch makes the credential layer of every agent visible.

Identity Lineage® is the graph that connects the three populations. Every non-human identity has an origin (which human created it, in which system), a storage location (every vault, secret manager, repository, or .env file it lives in), a set of consumers (every workload, pipeline, function, container, or AI agent that uses it), and a reachable-resources set (every database, bucket, API, or downstream service it can authenticate to). Identity Lineage® makes that graph queryable through both the Clutch UI and the Universal NHI MCP Server, which lets engineers and AI assistants ask questions in natural language, show me every AI agent consuming credentials owned by the former employee who left last month, and get answers with remediation actions attached.

Enforcement is unified across populations. The same right-sizing engine that scopes a human's Okta group can scope a service account's IAM policy or an AI agent's inherited credentials. The same JIT workflow that gates a human's privileged access can gate a non-human's. The same anomaly detection that watches a human user's session can watch a Lambda's API surface. Three populations, one enforcement model.

Zero Knowledge Architecture keeps the unification from becoming a centralization risk. Clutch processes the metadata required to build Identity Lineage® and run detection; secret material, keys, tokens, passwords, stays in the customer environment. For regulated industries, this is the difference between a unified identity program and a new aggregation target.

Practical Examples

A developer leaves, and three populations are affected at once. When Okta marks a developer as deprovisioned, Clutch's Workforce Attribution surfaces every non-human identity that traces back to them, service accounts they created, OAuth grants they authorized in Salesforce, GitHub Actions secrets they configured, and every AI agent (Cursor, Copilot, custom MCP servers) they deployed. Instead of three separate cleanup tickets that may never close, the CISO gets one unified view with full Identity Lineage® and one set of recommended actions.

An AI agent inherits a human developer's privilege. A developer installs an MCP server from a public registry; the agent inherits the developer's ambient AWS credentials and reaches into production. Clutch sees the new agent, maps which credentials it accessed, attributes the credential consumption back to the developer through Workforce Attribution, and recommends a scoped credential, moving the agent off the human's standing privilege and onto an ephemeral identity sized to what it actually does.

A unified privilege review across all three populations. A CISO requests a quarterly privilege review for the finance domain. In one Clutch report: every finance-team human and their Okta groups; every service account, API key, and OAuth grant owned by the finance team; every AI agent (sanctioned or shadow) operating against finance data. Three populations, one ownership model, one report.

The Bottom Line

Identity is one problem, and the industry has built three programs around it, workforce IAM for humans, scattered tooling for service accounts, and ad-hoc controls for AI agents, while attackers move freely across the seams. At 82:1 NHI-to-human ratios, growing 300–500% annually with agentic AI, an identity program that secures only humans is securing the smallest of the three populations. Clutch Security unifies identity across humans, machines, and AI agents in a single Identity Lineage® graph, grounded in Workforce Attribution and protected by Zero Knowledge Architecture. The unified view is what makes governance, detection, and enforcement coherent across the actual identity surface.