Custom internal agents
Agents built around internal APIs, datasets, tickets, CRM records, finance systems, or operations workflows.
Risk: real company access.Secure operating layer for enterprise AI agents
Custom internal agents, coding agents, browser automations, MCP tool agents, and framework agents run through AgentFort with hidden credentials, least-privilege access, prompt-injection defense, runtime controls, data and egress protection, and audit evidence. Your agents get the access required for the job. They never receive the credentials.
Bring any agent
The biggest enterprise risk is usually not a public framework. It is the custom agent someone connects to real systems. AgentFort gives the same control layer to every agent type.
Agents built around internal APIs, datasets, tickets, CRM records, finance systems, or operations workflows.
Risk: real company access.Repo, terminal, devbox, deployment, and secret-adjacent workflows where a bad action has real impact.
Risk: code and shell power.Agents operating inside logged-in SaaS sessions or enterprise browsers on behalf of employees.
Risk: user impersonation.Agents connected to Slack, Gmail, Drive, GitHub, Jira, databases, calendars, or internal tools.
Risk: connector sprawl.LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, and other orchestration stacks.
Risk: autonomous chains.Vendor agents and copilots that need controlled access to enterprise data and workflows.
Risk: third-party reach.How it works
AgentFort makes the safe route the only route: identity, policy, temporary access, runtime control, and evidence.
Register or attach any agent runtime.
Bind the agent to a task and owner.
Attest the runtime before access.
Check resources, tools, arguments, and risk.
Create short-lived, job-scoped access.
Proxy handles secrets server-side.
Limit filesystem, network, process, and browser reach.
Log allow, deny, review, injection, and egress.
Protection layers
AgentFort is broader than a credential broker. It protects how agents run, what they can access, and what they can do with data.
Runtime identity, job-scoped leases, hidden credentials, and proxy credential injection.
Allow: scoped dataset readSandbox, ephemeral workspace, controlled filesystem, process, network, and managed browser options.
Deny: direct network pathLabel untrusted content, classify risky tool calls, and block privileged actions driven by hostile input.
Deny: injected payment actionConstrain tools, resources, arguments, datasets, domains, TTLs, approvals, and policy simulation.
Review: browser exportRedaction, DLP, row and field limits, approved destinations, no-export rules, and model egress control.
Deny: external uploadEvidence timeline, SIEM export, replay, kill switch, approval record, and lease revocation.
Ready: incident bundleWalkthrough
A finance reporting agent needs customer revenue data. AgentFort lets the useful path complete, denies payment writes, and reviews browser export - without exposing raw credentials.
Schedule a demoSetup
Policy decision
Evidence
Deployment
Use AgentFort as a sidecar, proxy, managed runtime, browser extension, or central control plane. Security keeps policy and evidence. Developers keep moving.
Immediate value
AgentFort wraps agent workflows with identity, job-scoped temporary access, hidden credentials, runtime controls, prompt-injection defense, egress limits, and evidence. The design-partner program has its own page for teams that want to work directly with us on deployment scope.