Your agent called another agent, which called a tool. Whose authority just got used? By the time it reaches the tool, the scope has quietly widened.
AI Agent Security
The security bridge between AI autonomy and enterprise trust.
Give your organization the confidence to deploy AI agents at scale, with controls that keep pace with how fast they work.
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.
Real-time
Decisions made as agents act, not after the fact
Every action
Allow, block, or send to a human for approval
Proof
A clear record of who authorized what, and why
Built for enterprise
Identity
Policy
Audit
Traditional access control
Should this user get access?
- Decides once at login
- Permissions stay fixed until the next review
- Problems surface in audits, often too late
- Built for people with stable job roles
Ponte
Should this specific action happen right now?
- Evaluates every action as it happens
- Uses live context, not stale permissions
- Agents cannot quietly exceed their authority
- Built for AI that moves at machine speed
The Challenge
Legacy security was not built for autonomous AI.
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.
Authority That Drifts
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.
A Growing Footprint
Every new tool an agent can reach expands what it can do. The effective scope of an agent changes constantly, often without anyone noticing.
Logs Are Not Proof
Activity logs tell you something happened. They do not prove the action was authorized, appropriate, or within the bounds of what was delegated.
The Wrong Question
The question is no longer who is this agent. It is: should this agent take this action, for this person, in this moment?
How Ponte Works
Identity, policy, and trust. Checked on every action.
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.
Know the agent
Who it is and who it acts for
Apply policy
Your rules, evaluated instantly
Enforce inline
Stop or allow before it runs
Grant access
Only what was approved
Leave proof
A record you can stand behind
01
Agent Identity
Know Every Agent
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.
- A trusted profile for every agent in your environment
- Works across cloud, on-prem, and hybrid deployments
- Compromised access expires quickly, limiting blast radius
02
Policy & Rules
Set Guardrails That Scale
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.
- AI-assisted policy authoring in Policy Studio
- Allow, block, or route to a human approver instantly
- Simulate impact before any rule reaches production
03
Delegation & Access
Agents Stay Within Their Bounds
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.
- Delegation checked on every action, not just at setup
- Short-lived access instead of standing credentials
- Full lineage: who authorized what, and for whom
The Platform
Governance, integration, and intelligence.
One complete system.
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.
Agentic Governance
Accountability You Can Prove
Knowing an action happened is not enough. Ponte gives you evidence: who approved it, under what rules, and whether it stayed within bounds.
Human Approval When It Matters
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.
Authorization Receipts
Tamper-evident records of every governed action. Hand them to auditors, regulators, or your board as standalone proof.
A Learning Loop
Insights from agent activity feed back into better policies. Governance that tightens and improves based on real behavior, not static rules that drift.
Integration Framework
Fits Where You Already Work
Ponte connects to the tools, gateways, and systems your agents already use. One set of rules, enforced everywhere your AI operates.
Enforce
At the Point of Action
Sits between agents and the tools they call. Works with leading AI gateways so you do not have to reroute your entire stack.
Context
Live Signals
Pull in CMDB context, network posture, and identity signals so decisions reflect what is true right now, not at last login.
Native AI
AI That Helps, Controls That Decide
Ponte uses AI to draft policies and build integrations faster. But every rule still goes through review and testing before it takes effect. AI proposes. Your controls dispose.
Policy Studio
Connectors
Intelligence
How It Works
From agent action to proof of control.
When an agent tries to do something on behalf of an employee, here is what Ponte does before that action reaches your systems.
Identify
Ponte confirms which agent is acting, who it represents, and what it is trying to do.
Evaluate
Your policies and live context are checked. Is this action allowed for this person, right now?
Decide
Allow it, block it, or send it to a human approver with full context for the decision.
Record
If approved, the agent gets exactly the access it needs. A receipt captures the full decision for audit.
Example policy intent
# 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 auditIntegrations
Works with the stack you already have.
Ponte plugs into your AI gateways, enterprise tools, and identity systems. Write your rules once. Enforce them everywhere agents operate.
Where Agents Act
Agent tool layer
AI gateway
LLM gateway
Edge gateway
SDK
Enterprise Context
CMDB
Network security
Identity providers
Device posture
Custom sources
Cloud Infrastructure
AWS
Azure
GCP
Kubernetes
Deployment
Your VPC
Hybrid cloud
On-prem
Open standards
Why Ponte
Security built for the age of autonomous AI.
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.
Real-time
Controls that keep pace with how fast agents work
Human
Approval in the loop for high-stakes decisions
100%
Governed actions leave an audit-ready record
Scoped
Agents get only the access the moment requires
From the Field
What security leaders are asking about agentic AI.
Identity, policy, and audit for AI agents. Follow our thinking on runtime authorization and agent governance.
Nobody pushes a firewall rule to production without testing it first. Yet most teams roll out agent authorization policy blind. Test the impact before you enforce.
Authentication confirms an agent is who it claims to be. It says nothing about whether this agent should take this action, at this value, at this moment.
Ready to govern your
agentic future?
Give your organization the confidence to deploy AI agents at scale, with controls, accountability, and proof built in from the start.