Secure AI governance and the agentic AI Security Platform
Control and administer your AI identities to incorporate them confidently into your workforce.
- AI agent governance
- AI agent discovery
- MCP gateway
- LLM risk management
- Use cases
AI agent governance
Track and manage your AI agents—from the policies that create them to the permissions that they are granted—with automated governance workflows.
AI agent discovery
Identify every AI agent in your directory, including unmanaged agents that run without approval.
AI agent monitoring
Stay on top of your AI agents' actions with real-time activity logs and permission reports.
AI risk assessment
Assess LLM configurations across identities, API keys, data governance, and network access to find exposure and fix gaps.
AI agent accountability
Hold AI agents accountable with human ownership. Let employees oversee agent access, set policies, and enforce controls.
Access control for AI agents
Create access policies, automate least-privilege assignments, and restrict AI agents to curb unauthorized access and high-risk actions.
AI agent discovery
Account for all AI agents in your organization from various platforms to ensure complete accountability.
Google Gemini Enterprise agent security
Surface all AI agents running on Gemini Enterprise Agent Platform and maintain a complete record of their identities, access scopes, and activity.
Microsoft Foundry agent security
Identify every AI agent deployed through Microsoft Foundry and bring their permissions, policies, and actions under centralized governance.
Copilot Studio agent security
Track all agents built in Copilot Studio, including the creators, what they can access, and whether they operate within approved boundaries.
Zia AI agent security
Discover and inventory every Zoho Zia AI agent. Track permissions, actions, and policy compliance from a single control plane.
MCP gateway
Let SecureAI serve as the central authority for all of your AI agents to authenticate, request data, use permitted tools, and be controlled.
MCP access control
Control which MCP servers and tools each AI agent can use by identity and role, with every request policy-checked before execution.
MCP data loss prevention
Apply DLP policies to all traffic passing through the gateway, automatically redacting or blocking sensitive information before it can be exposed.
MCP traffic audit
Log every routed tool call with the tool invoked, policy decision, and outcome for a complete, auditable record of AI actions.
LLM risk management
Ensure your connected AI services follow the best security practices and stay compliant with regulatory standards.
Claude AI
Evaluate how Claude is integrated into your workflows, flagging over-privileged access, data handling risks, and compliance gaps.
Gemini AI
Review your Gemini AI connection for security posture issues, including access permissions, data exposure, and policy adherence.
GitHub Copilot
Assess what data GitHub Copilot can access across your repositories, and enforce policies that prevent sensitive code and secrets from being exposed.
Use cases
SecureAI is more than a platform to manage AI agents and their permissions.
AI governance solution
Give CISOs a unified framework to define, enforce, and audit AI policies across every agent and LLM service in the organization.
AI agent security tool
Detect, assess, and remediate security risks across your AI agent ecosystem before they become incidents.
Agentic AI compliance
Meet emerging AI regulatory requirements with automated workflows that track agent behavior and generate audit-ready reports.
Your AI workforce is growing. Ensure you're in control.
Embrace agentic AI with complete confidence.