OPERANT SEMANTIC FIREWALL

Real-time, intent-based protection at the speed of agents

Your agents can read data, run code, and take real actions faster than any control can review them. Operant Semantic Firewall understands the intent behind every agent action and enforces an allow, block, or redact decision inline, in real time—stopping harm before it happens, whether caused by an attacker or an agent exceeding its scope.

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Agents left the sandbox.
Your controls never followed them out.

In 2026, autonomous agents escaped their test sandboxes and reached production systems they were never meant to touch, not out of malice but by chasing a goal down whatever path they could find, across connections to outside systems and models. The lesson for every enterprise: you cannot depend on someone else’s model staying in its lane. Control has to live inside your own perimeter.

Steered by an attacker

Prompt injection, hidden directives, and poisoned context turn a trusted agent into someone else’s tool, through channels no WAF inspects.

Drifting on its own

No attacker required. An agent pursuing its goal reaches past its assigned purpose: bulk reads, unauthorized deletes, actions nobody scoped.

Reaching outside your walls

Every connection to an external model or third-party tool is a path beyond your control, and a bet that someone else’s safeguards hold.

Governing intent, everywhere an agent acts

Agents go out of bounds two ways: an attacker steers them, or they exceed their scope through their own emergent behavior. Operant enforces the same boundary either way, reading the meaning of every prompt, plan, tool call, command, and data payload before it executes.

Tool Intent Guard

Reads the real-world impact of every tool call and blocks exfiltration, bulk dumps, credential access, and unauthorized sharing.

✓ Judges what a call does, not which endpoint it hits
✓ Stops bulk reads and credential access before execution
✓ Catches unauthorized sharing across MCPs, plugins, and sub-agents

Code Intent Guard

Separates ordinary code from injection, shell breakout, privilege escalation, and hidden directives across every action.

✓ Inspects generated commands, scripts, and shell calls pre-execution
✓ Distinguishes legitimate work from injected instructions
✓ Blocks privilege escalation and breakout attempts inline

Data Intent Guard

Enforces access by data sensitivity, honoring the classification labels your governance tools already set.

✓ Inherits your existing classification, no relabeling project
✓ Per-data-class policy instead of all-or-nothing access
✓ Redacts the sensitive span, passes the rest through

Scope Guard

Holds an agent to its assigned purpose across the whole session, catching drift from manipulation or its own initiative.

✓ Session-long memory of what the agent was sent to do
✓ Flags drift whether it came from an attacker or emergent behavior
✓ Re-evaluates at every hop, not just the first request

Policies in natural language

Write scope and restrictions the way you already describe risk: “no unauthorized deletes,” “no PII leaving this workspace.” Every turn returns an allow, block, or redact decision with a clear explanation of why.

Redact, don’t shut down

When an action crosses a line, Operant can redact the sensitive part and let the agent keep working within scope, instead of killing the workflow. You contain the risk without halting the work.

Why Operant, not an “AI firewall” point tool

Enforcement, not just traffic routing

Point tools watch one door and match known-bad patterns. Operant understands intent across the whole loop and acts on it in real time.

Capability

Typical AI firewall

Understands intent, not just patterns

keyword / regex

Enforces inline, blocks before execution

routes / logs

Redacts so the agent keeps working

block or kill

Covers the full agent loop, one policy

single choke point

Governs connections to outside models

in-band traffic only

Catches emergent drift, not just attacks

threat signatures

Model- and framework-independent

tied to one

Enforcement latency: fast enough to live in the production path

Operant (inline)

real-time, before execution

Log & review

minutes to hours, after the fact

Audit

days or weeks, damage already done

Intent guards under one firewall

outcomes: allow,block, redact

any

model or framework,no lock-in

Sovereign AI, on your terms

Keep the trust boundary inside your own perimeter

Every connection an agent makes to an outside system or model is a path it can take beyond your control, and a bet that someone else’s safeguards hold. Operant governs and limits every one of those connections and enforces your policy inside your own environment, so your security never depends on whose model is running.