Fyver Interceptor

Your AI agents are powerful.
Now make them governable.

Fyver Interceptor is the policy layer for enterprise AI agents. For business: deploy AI with every agent action governed and every decision auditable. For engineers: one hook per dispatcher, allow/deny/escalate decisions in milliseconds, zero agent rewrites.

Talk to us See how it works
Real-timea decision on every call, inline
3Decisions: allow / deny / escalate
6Compliance frameworks mapped
100%Decisions hash-chained & auditable
BUILT FOR THE PLATFORMS YOUR AGENTS ALREADY RUN ON
Salesforce Partner ServiceNowBUILD PARTNER

AI agents are your fastest employees.
And your least supervised.

They issue refunds, change records, and touch customer data — at machine speed, with no human in the loop. One bad tool call is a breach, a lawsuit, or a headline. Fyver is the supervision layer.

RISK

Agents act without guardrails

An AI agent with a refund tool and no spending limit is a liability. Traditional IAM wasn't built for agents that reason, plan, and improvise.

ANSWER

Policy at the interception point

Fyver sits between your agents and their tools. Every call is checked against your policies in milliseconds — allow, deny, or escalate to a human. No code changes to your agents.

PROOF

Evidence auditors accept

Every decision is hash-chained into a tamper-evident log, mapped to SOC 2, ISO 27001, EU AI Act, and NIST AI RMF controls. Compliance evidence writes itself.

One check. Every call. Decided in milliseconds.

For the technical team: a single hook in your agent's dispatcher. Your agents stay untouched; decisions return in milliseconds.

AI AGENT SIDE TRUST BOUNDARY YOUR ENTERPRISE AI Agents Agentforce · ServiceNow AI any agent, any platform tool call Fyver Interceptor Every tool call checked against your policies allow / deny / escalate allow Your Enterprise Systems Salesforce · ServiceNow and the tools your agents use ✕ DENY ⏸ ESCALATE Human approval ⛓ Every decision recorded in a tamper-evident audit trail

Live example — a $4,000 refund intercepted in 38ms:

Refund Concierge issue_refund $4,000 Fyver Interceptor P-01 · 38ms amount 4000 > 500 ⏸ ESCALATE Human approval a person decides
$ agent → salesforce.issue_refund { amount: 4000 }
→ Fyver check(Refund Concierge, issue_refund, …)
→ P-01 matched: amount > 500 → ESCALATE
→ a manager approves → the call proceeds
→ decision, approver, and policy recorded in the audit trail
 
$ agent → servicenow.delete_incident
→ P-18 matched → ✕ DENIED — no policy allows deletes
01

Agent acts

Your AI agent — in Salesforce, ServiceNow, or any platform — attempts a tool call. A one-line hook sends the agent ID, tool name, and arguments to Fyver.

02

Fyver decides

Policies evaluate in priority order. First match wins: allow, deny, or escalate to a human. Every decision records its full reasoning chain.

03

Everything is proven

Each decision lands in a hash-chained audit log. Tamper with one entry and the chain breaks — verifiable by anyone, anytime. Compliance evidence writes itself.

Two stories. One platform.

Buying and building are different jobs. The demo follows two people.

Sarah — business executive
THE BUSINESS CASE

Meet Sarah

Business executive. Her company is deploying AI agents — her question: "Who's watching the agents?" Follow her story (~2:50): interception, approval, audit, drift.

▶ Watch Sarah's story

David — platform engineering
THE PRODUCTION PATH

Meet David

Platform engineering. Hundreds of actions, dozens of agents — his standard: "One command. No rewrites." Follow his story (~2:00): CLI, hidden flows, deep dive.

⌨ See the CLI

From bare code to guarded agent.
One command.

The production path. Point the CLI at your existing code — it generates the guardrail wrapper, deploys it, and stages the policies. Your code never changes; the console has the final say.

$ ./fyver auth login
→ approve in your browser — no password, no pasted session cookies
✓ Authorized. Token saved locally
 
$ ./fyver wrap — point it at your flows or classes
→ guardrail generated alongside your code — the original is untouched
→ Deployed: Succeeded — straight to your org
→ Imported 2 polic(ies) as DISABLED — review and enable in console
01

Generate

Wrappers are built alongside your code — Apex classes, Flow XML, ServiceNow Script Includes. The original is never modified. Generated code holds no secrets.

02

Deploy

Push straight to the platform from the CLI — the guardrail lands in your org, ready for you to activate.

03

Review, then enforce

Suggested policies land disabled. You review them in Policy Studio, tune the thresholds, and enable — the CLI suggests, the console decides.

Validated where your agents live.

Three enforcement points, each tested end to end — deny blocks, escalate pauses for a human, allow passes. Plus a native MCP endpoint for everything else.

SALESFORCE

Apex actions

Your @InvocableMethod classes get a thin wrapper with the guardrail built in. One-line check, deploy from the console or the CLI.

✓ End-to-end validated

SALESFORCE

Flows

Autolaunched flows — including the template flows your agents are built on — wrapped and guarded the same way. Tested live against a real template flow.

✓ End-to-end validated

SERVICENOW

Script Includes & agents

Dispatchers guard every tool call, fail-closed — a call that cannot be checked does not run. Deploy from the console or the CLI.

✓ End-to-end validated

See it in action

Follow Sarah's story or David's — the interception, the approval, the audit trail. The complete functional tour is available on request.

▶ Watch the demo

Built for the enterprise

Production-grade controls for teams that answer to auditors.

📊

360° dashboard & live stream

Tool calls inspected, policy blocks, approvals waiting, drift alerts — the health of your agent fleet at a glance, with a live event stream underneath showing every decision as it happens.

🛡️

Policy studio

Write rules in plain language: who can do what, under which conditions. Templates for common cases, a simulator to prove rules work before deployment, full version history.

⚡

Real-time interception

Decisions in milliseconds, on every tool call — the check adds no perceivable latency. One-line hooks for Salesforce Apex and ServiceNow Script Includes.

👤

Human-in-the-loop

Escalated calls pause for human judgment. An approval is recorded with the approver's name, and covers the call it was given for. The control auditors ask for by name.

🔍

Drift detection

If a tool's definition changes — or a guarded class or flow is edited after you approved it — the console flags the drift. What you approved is what runs.

📋

Tamper-evident audit

Every decision hash-chained to the previous one — tamper with one entry and the chain breaks. Export the full log for external review. Evidence that proves itself.

🗄️

Retention by design

Recent events stay live for investigation; older ones are archived, never deleted. Built for SOC 2, ISO 27001, and GDPR — the audit log is never deleted.

🔐

Authenticated enforcement

Every enforcement call is token-authenticated between your platforms and the console. Every decision arrives over a secured channel, from a verified caller.

🔒

Secrets encrypted at rest

SSO client secrets, OAuth tokens, and platform credentials are encrypted at rest. Backups are automated, and restore is built into the console.

🔌

MCP-native

A real MCP server endpoint (/mcp) — any MCP client connects via JSON-RPC, lists governed tools, and has every tools/call checked against your policies. Vendor-neutral by protocol.

🌐

Cross-platform, one policy layer

Salesforce Apex, Salesforce Flow, ServiceNow, and any MCP client — governed by the same policies, the same approval queue, the same audit trail. Add a platform without rebuilding governance.

🏗️

Adapters & environments

One console per environment — Dev, QA, Prod — each with its own policies, approvals, and audit trail. What runs in prod is exactly what you tested.

👥

Caller roles (RBAC)

Policies match on who is driving the agent, not just which agent. A support agent's $4,000 refund is denied; a manager's is escalated. Same tool, different human, different decision — fail-closed by design.

🔐

Enterprise SSO

Sign in with Okta or Microsoft Entra ID via OIDC (Google Workspace also supported). IdP groups sync to caller roles automatically on every login — your identity provider's groups map to the roles your policies use.

🔔

Notifications

Escalations push to email, Slack, PagerDuty, or open a real ITSM ticket with the approve link inside. Smart dedup keeps every alert meaningful — one per event.

🚀

One-click deploy hooks

Push the guardrail to Salesforce or ServiceNow from the agent card. Deploy history shows exactly what was deployed, and when.

⌨️

CLI for production

From bare code to guarded agent in one command: ./fyver wrap generates the wrapper alongside your code, deploys it, and stages suggested policies as disabled for your review. The production path for platform teams.

🌊

Salesforce Flow guardrails

Autolaunched flows — including the template flows your agents are built on — wrapped with the same guardrail.

⚡

Bulk approval

Select-all, approve-all, deny-all. When a load test (or a real incident) floods the queue with thousands of escalations, clear them in one click — with the same audit trail as individual decisions.

🛠️

Console ops

Backups, retention jobs, and schedules — all from the console, each with its last-run status. Everything runs from the browser.

No AI in the decision.

Every allow, deny, and escalation is made by a policy you wrote and approved. The same call always gets the same decision — and the audit trail names the exact policy, and the version of it, that decided.

01

Testable before it runs

Every rule can be tried in the simulator before it ever touches a live call. What a policy will do is known before it counts.

02

Explainable afterwards

No “the model decided.” When a call is judged, the deciding policy is a fact you can point to — in the stream, in the approval, in the audit trail.

03

No 1% you can't find

A model judging agent actions works on probability: even one that is right 99% of the time lets the other 1% through, in both directions — and cannot tell you which calls it got wrong. A policy is wrong only where you can read it.

Compliance with live evidence

Six frameworks mapped to live system data. Click any badge in the console to see the exact controls and their real-time status — live data, always current.

SOC 2Trust Services Criteria
ISO 27001Annex A controls
EU AI ActHigh-risk AI obligations
NIST AI RMFGovern · Map · Measure · Manage
GDPRPrivacy by design
Internal AI PolicyYour rules, enforced

Ship AI agents your auditors will love.

Tell us about your agents — we'll show you how they'd be governed in one session.

Or email us directly: contact@fyver.ai