Agentic Shadow AI Risk Management
From invisible agents to governed AI productivity — a structured pathway for organisations to discover, govern and protect against Shadow AI risk.
GenAI users on personal (unmonitored) accounts
GenAI data policy violations per organisation / month
New AI app adoptions estimated to be Shadow AI
Enterprises facing AI security incidents by 2030 (Gartner)
The expanding threat: agentic Shadow AI is no longer just a people problem
Shadow AI has moved beyond employees pasting data into ChatGPT. Today, autonomous AI agents built on frameworks like LangChain, AutoGPT and MCP execute tasks, access file systems, call APIs and modify enterprise data without human oversight. Seven distinct threat vectors have been identified:
New threat: Claude Mythos
Anthropic's Claude Mythos (April 2026) marks a qualitative shift: an AI model that autonomously discovers software vulnerabilities and writes working exploits previously requiring elite human specialists. Time-to-exploit has collapsed from weeks to hours — a single attacker can now generate the toolkit of a well-resourced development team at machine speed.
87% of organisations globally experienced an AI-powered cyberattack in the past year (SoSafe 2025).
Why your current controls are not enough
Perimeter breakdown
Agentic AI blurs the perimeter: agents operate on behalf of users, call external APIs, and relay data outside DLP inspection points.
Zero visibility
Only 13% of organisations have strong visibility into how AI handles sensitive data (2025 State of AI Data Security).
DLP policy gaps
Existing DLP rules target file transfers and email attachments — they do not intercept AI prompt content or agent API calls.
Your pathway: the Intelixsoft Agentic Shadow AI Risk Management offering
A structured, six-step pathway from a free risk baseline to fully governed, protected AI productivity.
5-Question Shadow AI Risk Scan
Establish your risk baseline in under 10 minutes. Identifies your risk tier (Critical / Elevated / Managed) across five domains — AI tool visibility, data governance, workforce policy, data sensitivity and regulatory compliance. No obligation. Free findings report.
10-Question Quick Scan or Full Shadow AI Risk Audit
Deepen findings with a 10-question structured assessment or full 30-question audit. Maps specific agentic AI exposure — MCP-connected tools, GenAI platform usage, API agent activity and regulatory gap analysis. Executive brief and prioritised remediation roadmap delivered.
AI Acceptable Use Policy & Data Classification
Publish your AI Use Policy with a four-tier data classification schema (Public / Internal / Confidential / Regulated). Defines permitted tool tiers, data-handling rules for AI agents and explicit prohibitions. Existing technology use policies assessed for AI governance gaps aligned to ISO/IEC 42001.
Agentic Shadow AI Monitoring (CASB + DLP + Prompt Audit)
Deploy monitoring tools to identify all AI tools in use — including agentic workloads, MCP connections and GenAI platforms. Prompt audit trail established, DLP policies extended to intercept AI-specific exfiltration paths, and a real-time incident dashboard activated.
Safe & Responsible AI Use Training
Role-specific training for executives, knowledge workers and technical staff. Covers data classification rules, prompt engineering safety, approved tool tiers and agentic AI risk awareness.
Data Protection from Agentic Threats & Ransomware
Protect enterprise data from agentic exfiltration and AI-powered ransomware across 8 ransomware families, including REvil and LockBit (median block time 24.5 seconds). Immutable, air-gapped snapshots with RPO measured in minutes.
Start with the free 5-question Risk Scan
Get an immediate risk-tier report. Know where you stand on Agentic Shadow AI risk before your next audit committee meeting.
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