Shared platform capabilities power three standalone products — so you can start with governance, gateway or protection depending on your maturity, and add the rest as agents scale.
ZIRH.AI® Agent Governance helps enterprises identify, assess and manage AI agent usage before it becomes an unmanaged operational risk.
Compare AI agent opportunities by business value, readiness, feasibility and risk exposure.
Create a single view of approved, experimental and unmanaged AI agents across the enterprise.
Link every agent to business, technical, security and risk ownership before wider adoption.
Evaluates AI maturity, data readiness, process suitability and security gaps to show whether the organization is ready for agent adoption.
Ranks potential agent use cases by value, feasibility, risk, complexity and urgency, aligned with business impact and key operations.
Creates a structured record of active, planned, experimental and unmanaged AI agents across business units.
Scores each agent based on autonomy, data sensitivity, system access, business impact and control maturity.
Assigns owners and tracks each agent from idea and pilot to production, suspension or retirement.
Provides leadership with a concise view of priority agents, open risks, required controls and recommended actions.
Explore insights, case studies and practical guides on AI agent readiness, ownership, risk assessment and controlled enterprise adoption.
A practical method to surface, classify and assign ownership to every agent in the enterprise.
How autonomy, data sensitivity, access, impact and control maturity combine into a usable score.
Moving from scattered experiments to a risk-adjusted, board-ready portfolio.
What leadership needs to see: priority agents, open risks and required controls.
ZIRH.AI® Agent Gateway enables agents to access approved systems, APIs, MCP services, knowledge sources and workflows through governed connection paths.
Define which systems, APIs, data sources and knowledge bases each agent can use.
Use approved connectors, skills and integration patterns instead of one-off technical workarounds.
Route sensitive actions, exceptions and high-risk steps to human approval where needed.
Defines each agent's role, purpose, owner, operating scope and allowed interaction model before it connects to enterprise systems.
Sets what each agent can read, retrieve, write, trigger or submit across systems, APIs, data sources and workflows.
Enables controlled connection to approved business applications, internal systems, APIs and MCP services.
Allows agents to retrieve enterprise knowledge through permission-aware RAG, approved knowledge sources and source-level traceability.
Coordinates agent, human and system steps across business workflows, including task routing, fallback paths and escalation flows.
Routes sensitive actions, high-risk decisions and exception cases to designated reviewers or business owners before execution.
Learn how enterprises can let agents work with business systems, APIs and knowledge sources while keeping access and approvals under control.
Permission boundaries that let agents do their job without over-granting access.
Retrieval that respects entitlements and keeps source-level traceability intact.
Replacing one-off integrations with an approved connector and skill catalog.
Designing approval gates and escalation paths for high-risk steps.
ZIRH.AI® Agent Protection helps enterprises prevent unsafe agent behavior, validate security, monitor live activity and maintain audit-ready evidence.
Intervene when agents face malicious prompts, sensitive data exposure, unsafe destinations or unauthorized actions.
Check whether agents can be manipulated, leak data, misuse connected systems or bypass approval flows.
Capture agent activity, incidents, exceptions, control outcomes and audit records in a structured way.
Checks agent actions during live operation and blocks unsafe execution before it affects business systems, data or external destinations.
Detects malicious, hidden or manipulative instructions that attempt to override policy, change agent behavior or bypass intended limits.
Reduces the risk of exposing personal, financial, confidential, regulated or operational information through agent responses or actions.
Prevents agents from exposing, misusing or passing tokens, API keys, service accounts, secrets or privileged credentials.
Monitors agent logs, traces, runtime events, tool-call history, errors, latency, usage and unusual behavior patterns.
Maintains structured proof of agent activity, control outcomes, approvals, incidents, validations and remediation actions for audit and compliance teams.
Read how enterprises can detect unsafe behavior, control live actions, monitor runtime activity and maintain evidence for security and audit teams.
How hidden and manipulative instructions work — and how to detect them at runtime.
Blocking unsafe execution while keeping legitimate workflows fast.
Turning runtime activity into proof that satisfies risk and compliance teams.
Keeping tokens, keys and secrets out of agent responses and actions.
Governance, gateway or protection — book a session and we'll help you pick the right entry point and a path to scale.