AISPM
AI Security Posture Management. Catalog all models, trace external API configurations, enforce organization policies, and review compliance scores.
Active Workspace Posture Issues
Toggle to Introduce / Fix FindingsUnsanitized user prompt concatenated directly into system prompt.
File: src/agent.ts : L4 | Rule: LLM001Exposed OpenAI API key in production settings.
File: .env.production : L3 | Rule: SEC001Wildcard shell execution allowed in local bash MCP tool config.
File: mcp-config.json : L5 | Rule: CODE004Database query constructed dynamically from model output without schema validation.
File: src/db.ts : L12 | Rule: ABUSE211Compliance Matrices
Posture Policy Summary
Active monitoring is enabled across 64 resources, with 4 policy violations flagged in workspace repositories.
Key Posture Capabilities
AI Asset Inventory
Maintain an active inventory of models, agents, databases, and custom MCP integrations deployed across your workspace environments.
Policy Enforcement
Define global organizational rules like "restrict shell commands inside MCP tools" and block violations automatically.
Audit & Reporting
Generate comprehensive compliance compliance reports automatically to satisfy audit controls for SOC 2, NIST, and HIPAA.
Product FAQ
What constitutes an AI asset in AISPM?
Any active model wrapper, deployed conversational agent workspace, database vector connector, or Model Context Protocol tool instance is cataloged as an AI asset.
How are compliance scores calculated?
Scores are evaluated by mapping your configured active security policies and check status against compliance control frameworks automatically.
Can we integrate this with Active Directory or SSO?
Yes. Model deployment and configuration approval workflows can be mapped directly to user permissions in Okta, Azure AD, or GitHub Teams.
Secure your AI platform
before attackers do.
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