Enterprise-Grade AI Security
Enforce global AI usage policies, catalog shadow model deployments, verify MCP tool access scopes, and satisfy strict organizational compliance matrices.
Key Enterprise Challenges
Shadow AI Ingestion
Departments deploying custom GPT models or local API integrations without security team sign-off creates data exposure risks.
Scale & Telemetry Audit
Analyzing model actions, api tokens usage, and policy compliance records across thousands of developers and teams.
Policy Enforcement
Configuring and enforcing organization-wide security rules such as 'no direct container file access inside active agents'.
How CipherNest Helps
AI Asset Posture Management (AISPM)
Automatically inventory all deployed models, detect shadow API connections, and enforce policy guardrails inside centralized administration panels.
Integrated SSO & Approval workflows
Bind model deployment approvals directly to Okta or active AD profiles. Enforce manager sign-off prior to promoting agents.
Case Study: Fortune 500 Enterprise Catalogs 400+ Shadow Models
A multinational insurance provider cataloged and secured over 400+ shadow model integrations and isolated 18 active prompt bypass attempts in 30 days.
Secure your AI platform
before attackers do.
Join the private beta to deploy the unified AI-native security platform across your code, agents, MCP ecosystems and runtime. Or book a live walkthrough with the founding team.