The Scale of Shadow AI Exposure Is Already Enterprise-Wide

Shadow AI is no longer an isolated employee behaviour. 68% of employees use personal accounts to access free AI tools at work, while 57% of those interactions involve sensitive data. The average enterprise hosts more than 1,200 unofficial AI applications, and 86% of organisations are blind to the data flows those tools generate.

Exposure also extends beyond direct prompts. Employees may connect AI tools to corporate email, calendars, documents, and collaboration platforms through OAuth authentication, creating persistent access that may never pass through security review.

Three Shadow AI Channels to Monitor

  • Personal and employee-used AI accounts
  • OAuth-connected AI applications
  • Unmonitored data flows into external AI services
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Traditional Security Controls Cannot See the Full Shadow AI Attack Surface

Shadow AI rarely begins with malicious intent. Employees use AI tools to summarise documents, draft reports, analyse data, translate content, and accelerate everyday work. The exposure arises because these tools often sit outside procurement, security review, data governance, and compliance workflows.

Blanket bans do not solve the problem. They push AI use into personal devices and accounts, making activity harder—not easier—to monitor. Continuous discovery and policy-based governance provide the visibility required to manage the risk without blocking productivity.

What Can Leave the Security Perimeter

  • Proprietary documents, source code, and internal business data
  • OAuth access to email, files, calendars, and collaboration platforms
  • Customer PII, financial information, strategic plans, and regulated data

Why Veranthios Is Different

Why do enterprises need AI exposure management?

AI now operates across employee tools, developer environments, SaaS platforms, embedded features, third-party vendors, and autonomous agents. Without continuous exposure management, organisations cannot reliably see what AI is running, what data and systems it can access, what it costs, or whether appropriate ownership and controls are in place.

What makes Veranthios different from traditional governance tools?

Traditional governance programmes often depend on questionnaires, spreadsheets, policy documents, and periodic reviews. Veranthios creates a continuously updated operational record of AI activity, ownership, exposure, cost, controls, decisions, and evidence across the enterprise.

How does Veranthios support board and regulatory reporting?

Veranthios converts live governance activity into defensible evidence, including AI inventories, ownership records, risk assessments, approvals, control status, remediation activity, and audit trails. This gives boards, auditors, regulators, and customers a clearer view of enterprise AI exposure.

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Discover Every Unsanctioned AI Tool in Use

Veranthios continuously discovers unsanctioned AI activity across the enterprise—from ChatGPT, Claude, and Midjourney to specialist industry models and emerging AI applications. Detection operates across OAuth authentication logs, network proxy and DNS analysis, and CASB integrations, creating a comprehensive real-time inventory that single-channel tools cannot provide.

  • Multi-Channel Discovery

    Identify AI applications across OAuth activity, network traffic, DNS records, proxy data, and CASB telemetry.

  • Real-Time AI Inventory

    Build a continuously updated view of which AI tools are operating, who is using them, and where data exposure may exist.

Assess your Exposure

Automatically Sanction, Review, or Block AI Tools

Every discovered AI tool is automatically evaluated through configurable sanctioning rules. Known-safe tools can be registered and approved, borderline tools can be routed for governance review, and high-risk tools can be blocked automatically—without imposing a blanket AI ban that drives usage underground.

  • Policy-Based Sanctioning

    Approve trusted tools, route uncertain applications for review, and block high-risk services according to configurable governance rules.

  • Governance Without Blanket Bans

    Allow employees to use productive AI safely while maintaining central visibility, approval controls, and accountability.

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Create a Tamper-Evident Record of Every Decision

Every discovery event, sanctioning decision, and policy action is captured in a SHA-256 hash-chained audit trail. This gives boards, regulators, auditors, and enterprise customers dated evidence of which AI tools were operating, when they were detected, and what governance action was taken.

  • SHA-256 Audit Integrity

    Protect every governance event and policy decision in a tamper-evident, hash-chained audit trail.

  • Regulator-Ready Evidence

    Produce defensible records showing what was detected, who approved it, and what action was taken.

Assess your Exposure