One Platform. Every Layer of AI Risk.

Enterprise AI exposure appears across employee tools, developer environments, autonomous agents, embedded AI features, third-party platforms, and unregistered projects. Veranthios brings these risk layers into one system of record—providing continuous visibility, clear ownership, prioritised remediation, and evidence for boards, regulators, auditors, and customers.

Governance Built Into AI Operations

  • AI asset oversight
  • Risk visibility
  • Compliance evidence
  • Board-ready reporting

Enterprise Innovation Without Blind Spots

  • Shadow AI detection
  • Developer AI exposure
  • Agentic AI risk
  • AI adoption control

Customer-First by Design

  • Built around enterprise challenges
  • Designed for CIOs and risk leaders
  • Integrated into existing ecosystems
  • Focused on measurable value

Govern the AI Tools Nobody Approved

Shadow AI refers to unsanctioned AI activity operating inside the enterprise without IT, security, risk, or board approval. Employees are using public and third-party AI tools to accelerate work, often without realising that proprietary documents, customer data, credentials, or regulated information may be leaving the organisation’s security perimeter. Veranthios continuously detects and governs unsanctioned AI tools across telemetry sources such as OAuth activity, DNS and proxy signals, SaaS usage, and CASB integrations — giving organisations a live view of where AI is being used, what risk it creates, and what governance action has been taken.

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Control the New Risk Layer Created by AI Agents

Modern AI systems are increasingly built from agents that act, communicate, delegate tasks, call tools, access plugins, and interact through emerging protocols such as MCP and A2A. This creates a larger and more complex attack surface, where weak agents, excessive permissions, unverified integrations, forged identities, sandbox escapes, and trust-chain failures can create enterprise exposure. Veranthios helps organisations identify and govern agentic AI risk by monitoring agent health, behaviour, permissions, protocol exposure, and operational contribution — enabling teams to see which agents are performing safely, which are underperforming, and which require remediation, restriction, retraining, or removal.

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Stop AI-Driven Leakage in the Code Pipeline

AI coding assistants accelerate development, but they also increase the risk of credentials, API keys, proprietary code, and sensitive architecture details being exposed through repositories, prompts, generated code, and developer workflows. A credential committed to Git history is not a near-miss — it is an open incident for as long as that commit exists. Veranthios detects developer AI exposure across repositories, CI/CD workflows, audit logs, and code provenance signals. It helps security teams identify leaked credentials, prioritise remediation by blast radius, monitor AI-assisted development activity, and track developer AI posture through a board-readable governance score.

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Create a System of Record for Governed AI

The Veranthios AI Asset Registry provides a central inventory for every AI/ML asset in use — from approved production models and embedded AI features to pilot projects, third-party AI tools, agentic systems, and systems under remediation. Anything operating outside the Registry is, by definition, ungoverned AI. The Registry supports governance intake, ownership, approval workflows, feasibility and value assessment, lifecycle tracking, training dataset visibility, ML pipeline documentation, and dynamic risk scoring across key risk dimensions such as accuracy, fairness, explainability, data governance, regulatory compliance, operational resilience, and vendor risk.

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