Pillar Security Platform provides security across the AI software lifecycle, from development through production deployment. The platform addresses threats including sensitive data leakage, model theft, prompt injection, data poisoning, model poisoning, evasion attacks, supply chain risks, and denial of service attacks. The platform consists of four main components: Insight Engine provides automated discovery and classification of AI/ML assets including models, prompts, pipelines, datasets, frameworks, notebooks, RAG systems, AI agents, and MCP servers across the organization. Threat Analysis performs multi-layer risk evaluation combining static analysis for AI security posture management, data privacy, model safety, supply chain vulnerabilities, and infrastructure risks with dynamic testing through threat modeling-based red teaming and adversarial simulations against frameworks like OWASP and MITRE ATLAS. Adaptive Guardrails deliver runtime protection through a sandbox environment that monitors and protects AI system interactions from direct user attacks, agent-to-agent compromise, indirect attacks via APIs, poisoned data, and internet-based threats. The guardrails evolve based on red-team insights and threat intelligence. Control Center provides governance capabilities including unified policy management, full logging and traceability, alerting and reporting, AI asset inventory, and AI interpretability features. The platform aligns with NIST, MITRE ATLAS, ISO, and OWASP frameworks for AI security.