AI Security Platform (AISP)

As AI adoption accelerates, fragmented security tools can’t address the unique risks of large language models, autonomous agents, and dynamic data pipelines. An AI Security Platform provides a consolidated foundation for protecting every layer of the AI stack—data, models, APIs, and applications—through a single, integrated control plane.

According to Gartner, enterprises are shifting toward platform-based AI security architectures that combine governance, risk management, and protection capabilities. This approach reflects a growing need to defend not only the model but also the full AI supply chain—including datasets, prompt interfaces, and external integrations.

Key components of an AI Security Platform include:

• Model & Data Discovery – Automatically identifies all AI assets, including shadow models and external APIs.
• Vulnerability & Threat Detection – Scans for data poisoning, model inversion, prompt injection, and supply chain compromise.
• Policy Enforcement & Governance – Enforces controls aligned with frameworks such as the NIST AI RMF, EU AI Act, and ISO 42001.
• Lifecycle Monitoring – Tracks model usage, drift, and access activity to detect anomalies or violations in real time.
• Incident Response & Reporting – Provides automated remediation and audit-ready reporting for compliance and investigations.

Gartner emphasizes that successful AI Security Platforms integrate with existing enterprise security stacks—bridging GRC, DevSecOps, and MLOps workflows—to deliver context-aware defense for AI-driven systems.

How PointGuard AI Helps

PointGuard AI delivers a unified AI Security Platform purpose-built to secure the entire AI lifecycle. It combines continuous discovery, risk scoring, and real-time policy enforcement within a single control plane.

The platform automatically maps all AI assets—including models, datasets, agents, and APIs—across multi-cloud and on-prem environments. PointGuard detects risks like data leakage, model tampering, and prompt injection, while providing detailed lineage and compliance reports.

Through deep integrations with identity, security, and DevOps systems, PointGuard ensures that AI deployments align with enterprise risk and governance policies. Security and compliance teams gain one pane of glass to visualize and control AI behavior—protecting innovation without slowing delivery.

Learn more: https://www.pointguardai.com/ai-security-platform

Related: AI Usage Control, AI Application Cybersecurity