The Grip AI Security Platform

Artificial intelligence has evolved remarkably quickly.

Not long ago, AI was primarily a productivity tool. Today, it has become an active participant across the enterprise, embedding into business applications, automating workflows, and acting on behalf of employees through intelligent agents.

As a result, organizations are no longer managing AI as just another employee tool. They are managing AI agents, non-human identities, permissions, integrations, and increasingly complex relationships between people, systems, and data.

Security platforms must evolve alongside AI. That's exactly what we've been building toward.

Today, we're excited to unveil the latest capabilities of the Grip AI Security Platform, helping organizations discover, govern, and secure AI across the enterprise through an identity-driven approach.

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Built for the Explosive Growth of AI

Our mission has always been to help organizations confidently adopt transformative technologies.

As enterprise environments became more connected, organizations needed more than visibility. They needed context. They needed to understand how identities, permissions, and business data worked together across increasingly dynamic environments.

That identity-first foundation naturally evolved alongside AI. The AI capabilities embedded throughout enterprises have introduced a need for organizations to discover, govern, and secure AI through a single platform.

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Why Identity Is the Foundation of AI Security

Every AI interaction begins with an identity.

A user launches an AI assistant using enterprise credentials. An AI agent accesses business systems through OAuth permissions. A service account retrieves sensitive data to complete an automated workflow. A large language model generates recommendations using information that identities are authorized to access.

Understanding these relationships is essential for making informed security decisions.

The Grip AI Security Platform continuously maps users, agents, applications, permissions, and data into a living identity graph. This creates the context needed to understand AI activity, prioritize risk, and automate governance as AI adoption continues to accelerate.

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Built for the Future of Enterprise AI

The latest features introduced in the Grip AI Security Platform combine the capabilities organizations need to confidently adopt AI while maintaining strong governance and security.

AI Discovery

Continuously discover AI applications, embedded AI capabilities, browser-based AI tools, and shadow AI usage across the organization. Complete visibility gives security teams a reliable inventory of enterprise AI adoption.

AI Agent Discovery

Inventory AI agents, copilots, assistants, and autonomous workflows operating throughout the business. Understanding where AI is taking action helps organizations govern both human and autonomous activity.

Identity Graph

Connect users, AI agents, applications, permissions, and business resources into a continuously updated relationship graph. Rich identity context allows security teams to understand how AI interacts with enterprise systems.

AI Security Posture Management (AI-SPM)

Evaluate AI platform configurations against security best practices and organizational policy. Continuous posture management helps reduce configuration risk as AI platforms evolve.

Non-Human Identity Discovery and Governance

Discover API keys, service accounts, machine identities, OAuth connections, and AI-owned identities that support enterprise AI. These identities often operate continuously and require the same governance as human users.

AI Prompt Monitoring

Monitor prompts and AI interactions to identify sensitive information exposure, policy violations, and emerging risk patterns. Visibility into prompt activity helps organizations strengthen AI governance while supporting responsible use.

AI Threat Detection and Response

Detect suspicious AI activity using identity-driven analytics. The platform identifies abnormal behavior, compromised identities, excessive permissions, and risky AI activity to help security teams respond quickly.

Agent Blast Radius Analysis

Visualize everything an AI agent can access before an incident occurs. Understanding downstream dependencies allows organizations to prioritize remediation based on business impact rather than isolated alerts.

Identity Risk Analytics

Continuously calculate risk across users, applications, agents, and non-human identities. Security teams can focus attention on the identities that present the greatest business risk.

Automated Remediation and Policy Enforcement

Reduce response times by automatically revoking access, enforcing security policies, launching remediation workflows, and integrating with existing security operations platforms.

AI Governance and Compliance Reporting

Support enterprise governance initiatives through continuous reporting, policy validation, executive dashboards, and audit-ready evidence that demonstrates progress toward organizational and regulatory objectives.

Expert Human Guidance and AI Security Advisory Services

Technology delivers the visibility and automation needed to manage enterprise AI. Experienced SaaS and AI security specialists help customers prioritize findings, refine governance strategies, and accelerate program maturity. This combination helps organizations move from discovery to measurable risk reduction more quickly.

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A Platform Built for the Next Generation of AI

Enterprise AI is evolving rapidly. Applications are becoming more autonomous, AI agents are taking on increasingly complex responsibilities, and organizations are integrating AI into nearly every business process. Security must evolve alongside these changes while providing the context needed to make informed decisions.

The Grip AI Security Platform was designed for this future. By bringing together identity-driven discovery, AI posture management, threat detection, governance, automation, and expert guidance, organizations gain a comprehensive understanding of how AI operates across their environment and the tools needed to manage risk as adoption continues to grow.

We believe the future of AI security begins with understanding the relationships between identities, AI agents, permissions, and data. Identity provides the foundation for that understanding.

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