Agentic AI extends risk beyond individual prompts and applications. Autonomous agents can connect to enterprise systems, invoke external tools, access sensitive data, and coordinate actions across multi-agent workflows.
This exposure can emerge through MCP-connected tools, application integrations, service accounts, APIs, embedded agents, and agent-to-agent communication. Without continuous oversight, organisations may not know which agents are operating, what permissions they hold, who owns them, or what actions they are capable of taking.
The risk is not only excessive access. Weakly governed agents can create unexpected costs, expose sensitive information, make unauthorised changes, or execute actions that are difficult to reconstruct after the event. Effective governance requires visibility into each agent’s identity, purpose, permissions, connections, actions, owner, and current risk posture.
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.
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.
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.
Veranthios creates a continuously updated view of autonomous agents operating across the enterprise. It identifies agent identities, MCP-connected tools, application integrations, APIs, service accounts, and agent-to-agent relationships that may otherwise remain outside formal governance.
Identify autonomous and embedded agents operating across business and technology environments.
Map the tools, systems, APIs, data sources, and other agents each agent can access.
Veranthios assesses agentic AI exposure according to permissions, data sensitivity, available tools, business context, ownership, and potential impact. Teams can identify excessive access, assign accountable owners, prioritise high-risk agents, and move remediation into defined governance workflows.
Assess what each agent can access, invoke, change, transmit, or approve.
Assign accountable owners and prioritise agents according to potential enterprise impact.
Veranthios maintains an evidence-backed record of agent identities, permissions, connections, ownership, risk decisions, and governance actions. Security, risk, compliance, and executive teams gain a defensible view of how autonomous AI is operating across the organisation.
Record agent activity, governance decisions, ownership changes, and remediation actions.
Produce clear evidence for executives, auditors, regulators, and enterprise customers.