Veranthios | Enterprise AI Governance Platform

Govern AI Risk, Cost and Compliance in One PlatformAI Governance and Exposure Management

AI spend is growing faster than AI visibility—and AI risk is growing faster than both. Veranthios discovers every AI tool operating across your organisation, governs the exposure it creates, controls the cost it drives, and delivers audit-ready evidence for boards and regulators—from Day 1, deployed entirely within your own security boundary.

Native compliance coverage: IMDA AI Verify · MAS FEAT · ISO/IEC 42001 · EU AI Act · OJK · Japan METI/FSA

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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Why Right Now is Critical

What You Cannot See, You Cannot Govern

AI Adoption Has Outpaced Governance

AI is being added to enterprise applications, workflows, and business systems faster than security, risk, and compliance teams can assess it. Most organisations still lack a complete view of where AI is operating, what data it touches, or whether its use has been approved.

Shadow AI Is Already Operating

Employees are using AI tools through personal accounts, browser applications, OAuth connections, SaaS integrations, and embedded AI features that may never have passed formal review. Sensitive enterprise information can move into these systems without visibility or an audit trail.

Agentic and Developer AI Expand the Attack Surface

AI agents can connect to tools, data, applications, and other agents, while developers are using AI assistants across repositories and deployment workflows. Weak permissions, exposed credentials, vulnerable output, and unmonitored connections can transform a local governance gap into enterprise-wide exposure.

Compliance Exposure Is Already Live

Boards, regulators, auditors, and customers increasingly expect organisations to identify their AI systems, document ownership, assess risk, and evidence governance decisions. Without a current AI asset record and dated governance evidence, the organisation may be unable to demonstrate credible oversight.

AI Adoption Has Outpaced Governance

AI is being adopted through employee workflows, SaaS platforms, software development environments, autonomous agents, and embedded enterprise applications faster than traditional review processes can assess it. Without continuous visibility, organisations cannot reliably answer what AI is operating, who owns it, what data it can access, what it costs, or whether appropriate controls are in place.

Assess your Exposure

AI Exposure Is Distributed Across the Enterprise

AI exposure does not exist in one system or department. It appears across employee-used tools, OAuth connections, repositories, CI/CD pipelines, autonomous agents, datasets, third-party platforms, and embedded AI features. Veranthios brings these signals together so risk teams can identify where sensitive data, credentials, proprietary code, and uncontrolled actions may be creating exposure.

Assess your Exposure

Move From Discovery to Governed Control

Veranthios converts fragmented AI activity into a governed operating model. Organisations can register AI assets, assess risk, assign ownership, monitor cost, prioritise remediation, apply controls, and produce evidence for boards, auditors, regulators, and enterprise customers.

Assess your Exposure