
Detects AI knowledge oversharing and enforces need-to-know access for copilots, LLMs, and agents.
Knostic AI Security Platform Overview
What it does
Knostic gives enterprises visibility and control over how copilots, large language models (LLMs), and AI agents access and expose internal knowledge. The platform centers on a need-to-know model: rather than only filtering prompts, it detects when an AI system surfaces or infers information that a given user is not authorized to see. It treats this failure mode, known as knowledge oversharing, as an access-control problem rather than content moderation.
How it works
The platform builds role-based access policies and data labels, then runs simulation tests across user personas before an assistant goes live, probing many prompt patterns per persona to expose inference-based oversharing and anomalous knowledge access. A Shadow AI module finds unsanctioned tools, and the Kirin component extends the same controls to coding assistants and Model Context Protocol (MCP) servers. It then monitors continuously, flagging policy drift and new exposure as permissions and content change.
Credentials and traction
Knostic was named a 2025 Gartner Cool Vendor in AI Cybersecurity Governance and a 2025 SINET16 Innovator, and was a Top 10 finalist in the 2025 RSA Conference Innovation Sandbox. It won the 2024 Black Hat Startup Spotlight competition and was a 2024 RSA Conference Launch Pad finalist. Knostic is also featured across three categories in the Cloud Security Alliance Agentic AI Security Innovator Market Map. It serves security, governance, and engineering teams in regulated sectors including finance, healthcare, energy, and government.
Key Capabilities
At a glance
- Deployment
- SaaS
- Integrations
- 5 tools
Info last updated on September 7, 2026
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