Symmetry Systems, the Data+AI security company, has introduced Symmetry AIGuard, a standalone product designed to deliver complete visibility, governance, and control across an organization's entire AI ecosystem. The solution addresses shadow LLM usage, autonomous agentic identities, and related risks, enabling security, legal, data, and technology leaders to monitor and act on AI activity regardless of ownership.
Quick Intel
Organizations continue to adopt AI rapidly, often outpacing their ability to secure it effectively. Symmetry AIGuard consolidates critical oversight into a single platform, answering essential questions about AI deployment, usage, data access, sanctioning status, and behavior across diverse environments.
"Organizations are deploying AI faster than they can secure it," said Dr. Mohit Tiwari, CEO of Symmetry Systems. "Executives across Technology, Legal, Data and Security need one place to answer: What AI is running? Who's using it? What data can it access? Is it sanctioned? What is it doing? Whether it's a corporate copilot, a shadow LLM, an internal model, or an autonomous agent - Symmetry AIGuard answers all of that - whether it's a corporate copilot, a shadow LLM, an internal model, or an autonomous agent."
"The question isn't just 'what AI do we have?' - it's 'what can that AI access, and should it? This requires understanding of the intent behind each agent.'" said Mustapha Kebbeh, Chief Security Officer at UKG. "Symmetry is bringing together AI inventory, identity governance, data access intelligence, and compliance monitoring in a single product for the CTO, CIO, CISO, Legal, and Data leaders to use. No other solution currently connects all four."
For agentic AI, the platform maintains a comprehensive inventory of agents, classifying types and tracking creation details, permissions, data scope, and blast radius. It enforces policies through sanctioning workflows and automatically identifies risks such as over-privileged, orphaned, dormant, or destructive agents.
In AI services governance, Symmetry AIGuard inventories internal predictive, generative, and RAG-based deployments, assessing ownership, data access, overexposure, regulatory compliance, and residency issues with direct remediation capabilities.
Corporate copilot security extends Symmetry's established Microsoft Copilot protections to other enterprise copilots, providing licensing insights, usage patterns, data exposure analysis, compliance monitoring, and immediate remediation options.
External LLM governance uses proxy integrations to detect usage of services like ChatGPT, Gemini, and Claude, identifying models, users, shared data in prompts, and policy violations in real time.
"Agentic AI is the next frontier of enterprise risk," added Dr. Tiwari. "These agents act autonomously, access sensitive systems, and make decisions. Yet most organizations have zero visibility into them. If you wouldn't let an employee operate without oversight and access controls, you shouldn't let an AI agent do so either."
Symmetry AIGuard leverages the same identity and data graph as Symmetry DataGuard, enabling precise connections between AI entities and sensitive data while supporting proactive controls to reduce exposure and support safe AI adoption.
About Symmetry Systems
Symmetry Systems is the Data+AI security company, providing organizations with the industry's only comprehensive Data + AI Security Platform that discovers, classifies, protects, and monitors sensitive data across. Born from award-winning DARPA-funded research at UT Austin, our AI-powered platform delivers comprehensive Data+Ai security across all major cloud environments, SaaS applications, on-premise data stores, legacy systems, and airgapped environments. Our "get everywhere" philosophy continuously expands connector coverage to secure data wherever it lives - in all major cloud environments, SaaS applications, and on-premise data stores (including mainframes, legacy systems and airgapped environments). By uniquely merging both identity and data context, Symmetry provides what other DSPM vendors cannot: complete visibility where data exposure meets agentic identities. Organizations use our platform to eliminate unnecessary data, remove excessive permissions, accelerate compliance and cloud migration, and reduce attack surfaces – while safely enabling agentic AI systems with the identity-aware data context they require.