AI Execution Is Your Newest Attack Surface
Your firewalls, SIEMs, and endpoint tools weren't designed for autonomous AI. When an agent takes an unauthorized action, your existing security stack detects it after the damage is done. Runtime AI governance enforces control before execution.
What Keeps You Up at Night
Data Exfiltration via Legitimate Channels
An AI agent queries your customer database and transmits PII through a sanctioned API integration. Your DLP never fires because the channel is authorized. The data leaves your perimeter through a path you explicitly approved.
Prompt Injection to Tool Escalation
An adversarial input manipulates an internal copilot into invoking CRM write operations. Your WAF sees a normal API call. Your SIEM logs a routine event. The unauthorized modification completes before anyone notices.
Shadow-Agent Sprawl
Six departments have deployed autonomous agents using four different frameworks. None of them report to your security team. You don't know what tools they access, what data they touch, or what actions they take.
The Board Question You Can't Answer
A board member asks: "How do we know our AI systems are governed?" You have policies, guidelines, and awareness training. What you don't have is runtime evidence that governance is actually being enforced on every AI action.
Why Your Current Stack Doesn't Cover This
Your security investments are real. But they were designed for a world where humans make the decisions.
SIEM / SOAR
Detects anomalies after execution. Cannot prevent an autonomous AI agent from taking an unauthorized action in real time. By the time the alert fires, the transaction is committed.
Data Loss Prevention
Operates at the network layer on known patterns. Cannot evaluate the semantic intent of an AI request or understand that a model is about to return sensitive data in a seemingly normal response.
Identity & Access Management
Authenticates users and grants API access. Does not govern what AI agents do after authentication. An authenticated agent with API scope can still exceed its intended operational boundaries.
API Gateway
Routes traffic and enforces rate limits. Cannot evaluate whether an AI request should be allowed based on governance policy, user identity, data sensitivity, or organizational risk tolerance.
What Runtime AI Governance Gives You
Pre-Execution Enforcement
Every AI request is intercepted and evaluated against centralized policy before execution is permitted. Unauthorized actions are blocked — not detected after the fact.
Semantic Intent Analysis
The Enforcement Fabric doesn't just see API calls. It extracts the semantic intent of what the AI system is trying to do and evaluates that intent against governance rules.
Centralized Policy Authority
One governance layer across all AI frameworks, providers, and applications. Update a policy once, enforce it everywhere — without redeploying a single application.
Immutable Decision Evidence
Every governance decision generates an append-only record with policy version, identity, intent, decision, and enforcement action. Evidence that proves governance is working.
Evidence You Can Show the Board
Every AI governance decision produces an immutable evidence record.
{
"request_id": "req_8847_prod",
"identity": "agent_procurement_v3",
"intent": "erp_write_purchase_order",
"risk_score": 0.92,
"policy_evaluated": "v4.2.1-PROD",
"decision": "REQUIRE_APPROVAL",
"decision_reason": "High-risk ERP write by non-human identity",
"hitl_state": "PENDING_APPROVAL",
"enforcement": "EXECUTION_PAUSED",
"timestamp": "2026-05-08T14:22:01Z"
}This is not a log entry. It is an atomic, immutable governance record that answers: who requested it, what they intended, which policy applied, what the decision was, and why.
Protect Your Enterprise from Uncontrolled AI Execution
iAgentic provides the runtime enforcement infrastructure that your existing security stack was never designed to deliver.