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About
Protect AI is the most comprehensive AI security platform on the market, now part of Palo Alto Networks' Prisma AIRS suite. It addresses the unique security challenges of modern AI systems through three core products: Guardian for AI model security, Recon for scalable automated red teaming of AI agents and applications, and Layer for runtime monitoring and protection. These products operate on a single unified platform, covering the entire AI lifecycle—from model selection and import to deployment and ongoing monitoring. The platform is designed for enterprise scale, offering flexible deployment options, modular architecture, and easy integrations with leading AI infrastructure providers like Hugging Face, AWS, and Databricks. Protect AI also maintains two open-source projects—ModelScan and LLM Guard—enabling the broader community to detect malicious code in ML models and protect LLM-based applications. Fueled by unrivaled threat research from the huntr bug bounty community (17,000+ security researchers) and continuous collaboration with Hugging Face (4M+ models scanned), Protect AI helps enterprises shift from reactive to proactive AI security. It is purpose-built for security teams, MLOps engineers, and developers who need to identify vulnerabilities, prevent adversarial attacks, and ensure safe AI deployments at scale.
Key Features
- Guardian – AI Model Security: Scans and validates AI models for hidden threats, malicious code, and vulnerabilities before they reach production, with zero compromises on safety.
- Recon – Automated Red Teaming: Scalable automated red teaming for AI agents and LLM applications, identifying attack vectors and vulnerabilities through adversarial simulation.
- Layer – Runtime Security: Monitors deployed AI systems in real time, detecting and responding to threats as they emerge during live operation.
- Open-Source Tools (ModelScan & LLM Guard): Free, community-available tools for scanning ML models for malicious code and protecting LLM-based applications from prompt injection and other attacks.
- Unrivaled Threat Research: Powered by the huntr community of 17,000+ security researchers and a partnership with Hugging Face, providing best-in-class threat intelligence for AI systems.
Use Cases
- Scanning machine learning models from Hugging Face or internal repositories for malicious code before deployment
- Automated red teaming of AI agents and LLM-powered applications to find exploitable vulnerabilities
- Runtime monitoring of deployed AI systems to detect and respond to adversarial attacks in real time
- Securing the full MLOps pipeline from model selection and testing through production, ensuring compliance and safety
- Enabling security teams to build an MLSecOps practice with structured workflows, threat research, and community resources
Pros
- End-to-End AI Security Coverage: Covers the full AI lifecycle from model selection and testing to deployment and runtime, eliminating security gaps across the pipeline.
- Enterprise Scale and Flexibility: Modular architecture with flexible deployment options integrates into existing enterprise environments and scales with AI growth.
- Open-Source Community Tools: ModelScan and LLM Guard give developers free, proven tools to start securing AI systems without full platform commitment.
- Industry-Leading Threat Research: Backed by one of the largest AI/ML security research communities, ensuring protection against the latest and most sophisticated threats.
Cons
- Enterprise-Focused Pricing: The full platform is geared toward large enterprises, making it potentially cost-prohibitive for smaller teams or startups.
- Complexity for Smaller Deployments: The breadth of the platform may be more than needed for teams with simple or early-stage AI workloads.
- Acquisition Uncertainty: The recent acquisition by Palo Alto Networks may lead to product roadmap or pricing changes that affect current customers.
Frequently Asked Questions
What is Protect AI?
Protect AI is an enterprise AI security platform with three core products—Guardian, Recon, and Layer—that secure AI models, agents, and applications from development through runtime. It was recently acquired by Palo Alto Networks.
What open-source tools does Protect AI offer?
Protect AI maintains two open-source tools: ModelScan, which detects malicious code embedded in ML model files, and LLM Guard, which protects LLM applications from prompt injection and other attacks.
How does Recon work for AI red teaming?
Recon automates adversarial testing of AI agents and LLM applications by simulating attack scenarios at scale, identifying vulnerabilities before deployment. It integrates with platforms like Dataiku for seamless agent scanning.
Who is Protect AI designed for?
Protect AI is built for enterprise security teams, MLOps engineers, AI developers, and CISOs who need to manage risk across AI systems—especially organizations deploying large language models or AI agents in production.
How does Protect AI integrate with existing AI infrastructure?
Protect AI integrates with leading platforms including Hugging Face, AWS, and Databricks, and offers flexible deployment options to fit into existing enterprise security and AI infrastructure workflows.
