Ponte sits between your AI agents and the tools they call. Each action is checked against the agent's identity, the person it acts for, your policies, and live context — then allowed, blocked, or routed to a human. Every decision leaves a receipt you can hand to an auditor.
Most security decides at login. Agents decide every second. Ponte decides with them.
Access reviews ask who may enter. Autonomous agents ask what should happen next — thousands of times a day, chaining tools, carrying someone else's authority. Ponte is built for that shift.
Should this user get access?
Should this specific action happen right now?
Most organizations still decide access at login. AI agents change that. They act continuously, chain tools together, and often operate with more power than the person they represent. By the time a quarterly review catches the gap, the action has already happened.
Ponte checks every agent action before it runs: against your policies, the current context, and what the person behind the agent is actually allowed to do. Sensitive moves get a human sign-off. Every outcome leaves a record you can trust.
An agent working on someone's behalf can end up with broader access than that person ever had. No access review planned for that scenario.
Every new tool an agent can reach expands what it can do. The effective scope of an agent changes constantly, often without anyone noticing.
Activity logs tell you something happened. They do not prove the action was authorized, appropriate, or within the bounds of what was delegated.
The question is no longer who is this agent. It is: should this agent take this action, for this person, in this moment?
Ponte gives you one place to define the rules, enforce them as agents work, and keep a clear record of what was allowed and why. Your team sets the guardrails. Ponte applies them in real time.
Every agent gets a clear identity: who built it, what it can reach, and whose authority it carries. No shared keys. No anonymous automation acting in the dark.
Write policies in plain language about what agents should and should not do. Test them against real activity before they go live, so your team ships rules with confidence, not guesswork.
An agent should never do more than the person it represents could do themselves. Ponte enforces that on every action. Access can only narrow as it flows from person to agent to action. When something is approved, the agent gets exactly the access it needs, and nothing more.
Ponte is not just a gate at the door. It is the layer that makes agent autonomy accountable, fits into how your organization already works, and helps your team move faster without losing control.
Knowing an action happened is not enough. Ponte gives you evidence: who approved it, under what rules, and whether it stayed within bounds.
High-risk actions route to the right person before they execute. Financial moves, data exports, destructive changes. The moments that need a human judgment call.
Tamper-evident records of every governed action. Hand them to auditors, regulators, or your board as standalone proof.
Insights from agent activity feed back into better policies. Governance that tightens and improves based on real behavior, not static rules that drift.
Ponte connects to the tools, gateways, and systems your agents already use. One set of rules, enforced everywhere your AI operates.
Sits between agents and the tools they call. Works with agent studios, AI gateways, and MCP so you do not have to reroute your entire stack.
Pull in CMDB context, network posture, and identity signals so decisions reflect what is true right now, not at last login.
Ponte uses AI to draft policies and build integrations faster. Every rule still goes through review and testing before it takes effect. AI drafts; humans approve.
When an agent tries to do something on behalf of an employee, this is what happens before the call reaches your systems.
Ponte confirms which agent is acting, who it represents, and what it is trying to do.
Your policies and live context are checked. Is this action allowed for this person, right now?
Allow it, block it, or send it to a human approver with full context for the decision.
If approved, the agent gets exactly the access it needs. A receipt captures the full decision for audit.
# Written in Policy Studio, tested before going live:
"Finance agents may not export customer data
unless an approved change ticket exists."
# If no ticket → route to human approver
# If ticket approved → allow with scoped access
# Either way → receipt logged for auditNobody pushes a firewall rule to production untested, yet most teams roll out agent authorization blind. Policy Studio drafts rules with AI assistance, replays them against real agent activity, and shows the impact before anything is enforced. AI drafts. Your team approves.
Enforcement points sit wherever agents call tools. A policy decision service evaluates each request against your rules and live signals. Receipts land in your audit store. Nothing leaves your VPC.
Built on open standards: MCP · OpenID · AuthZEN · OAuth 2.0 token exchange · SPIFFE / SPIRE · OpenTelemetry
Read the architecture overview →
Write your rules once. Enforce them everywhere agents are built and run. See docs for deployment paths.
Production enforcement paths in customer environments (GA).
Agent traffic, credentials, and receipts stay in your environment. When a decision cannot be made, the default is deny. Visit the trust center →
No agent traffic transits Ponte-hosted infrastructure.
An unreachable decision service blocks, never allows.
In progress — contact us for current attestation status and timeline.
Sub-10 ms p99 at the enforcement point in pilot deployments (your mileage may vary).
Extend the identity program you already run to non-human identities and the people they act for — without a second governance stack.
One policy layer and one evidence trail across every agent platform the business adopts. Receipts that satisfy auditors.
Ship agents to production faster because the controls are already in the path. Drop in via MCP, gateway, or SDK.
Ponte runs inside your environment. Your agent traffic, credentials, and audit records stay within your trust boundary. When something is not allowed, the default is to block it.
Ponte was started in the Seattle area by identity and security leaders who spent two decades building and operating IAM at the largest banks, carriers, and retailers — and saw that none of it was designed for agents.
Co-Founder & CEO
Two-time founder with two successful exits, including Kapstone, an identity and access management consultancy acquired by iC Consult. Has spent his career building and selling IAM programs to Fortune 500 security teams — and started Ponte because none of that infrastructure was built for agents acting on their own.
LinkedIn →Identity, policy, and audit for AI agents. Follow our thinking on runtime authorization and agent governance.
Your agent called another agent, which called a tool. Whose authority just got used? By the time the request reaches the tool, the scope has quietly widened.
Read the post → Policy · 2026Nobody ships a firewall rule untested. Why do we ship agent policy blind? Simulate the impact of an authorization rule against real agent activity before you enforce it.
Read the post → Research · 2026Cloud Security Alliance: Authorization of Agents — the working-group paper on authorization data structures for agentic systems, with Ponte as a contributing author.
Read the paper →A 30-minute walkthrough with a founder: your agent platforms, your policies, and what a receipt looks like for an action in your environment.