AI-native exposure and exploitability management

MaayaAI is an AI-native exposure management platform that applies continuous threat exposure management to live runtime context.

Its VantaCore platform identifies which weaknesses are reachable, which are exploitable, and which fix to make first—with a human approving every action.

The platform runs more than 140 specialized micro agents on a shared reasoning layer called CyberMesh, which correlates vulnerability, asset, identity, control, forensic, runtime, and business data.

The agents chain low and medium severity findings into multi step attack paths, trace routes to sensitive data, and pinpoint the shared control points, such as an ingress rule or an over-permissioned IAM role, where one change breaks many paths at once.

Coverage extends to AI assets, including models, agents, tools, vector databases, and MCP endpoints, and an MCP server lets compatible AI interfaces call the same capabilities.

For each application, MaayaAI produces a remediation plan ranked by risk reduction and disruption, with generated command snippets that operators review before anything runs, then verifies closure with a clean rescan rather than treating a recommendation as a finished fix.

It draws on data already in tools such as Qualys, Tenable, Splunk, Cortex Data Lake, Databricks, and Snowflake, and connects to identity, cloud, EDR, and threat intelligence platforms.

MaayaAI was founded in 2025 and is headquartered in Cupertino, California.