Pillar Security

Key Features

• Agent & AI DiscoveryCatalogs AI agents, models, prompts, frameworks, tools, MCP servers, skills, and coding agents through agentless integrations, including shadow AI.
• Agent Posture & Supply Chain (AI-SPM)Traces dependencies across models and agent harnesses and scans configs, permissions, and identities for exposures.
• Policy EnforcementFlags unsanctioned AI systems and compliance gaps and defines approved models, frameworks, and data sovereignty standards to block violations.
• Attack Surface ExposureMaps how agents, tools, permissions, and data sources connect to prioritize remediation by blast radius.
• Agentic Red TeamingExecutes multi-turn adversarial attacks against complete AI systems to test tool orchestration, permission escalation, and agentic workflows.
• Vulnerability Validation & RemediationProves exploitability with attack transcripts, recordings, and reproduction steps, feeding findings into adaptive guardrails.
• Self-Improving GuardrailsProtection that refines itself using findings from red teaming and real-world interactions, calibrated to each agent's business purpose.
• Data Privacy EnforcementIdentifies and protects PII, PHI, credentials, and secrets in AI interactions in real time by masking, blocking, or logging sensitive data.
• Agent Behavior Monitoring & ObservabilityTracks tool invocations, decision patterns, and permissions and logs every interaction with metadata for audits and threat hunting.
• Policy OperationalizationTranslates governance policies into technical controls enforcing approved models, licensing, and data sovereignty at every stage.