Secure and Accelerate Agentic AI Deployments Without Infrastructure Delays
Agentic AI systems are inherently distributed and dynamic. AI agents interact with LLMs, MCP servers, APIs, and data services that may reside across multiple clouds, on-prem environments, or third-party platforms. These interactions evolve continuously as new agents, tools, and integrations are introduced.
Unfortunately, increased complexity is often addressed via “Shadow AI”. Roughly 68% of employees are using unauthorized tools they brought in themselves because the official rollout was too slow.
And beyond complexity, a more fundamental issue is limiting organizations’ ability to scale AI securely: the way machine identities are managed today.
