ProtectAI
Secure AI and ML systems, detect vulnerabilities, enhance model safety.. [Contact for Pricing]
Last verified:
What is ProtectAI?
ProtectAI is the broadest and most comprehensive AI security solution that secures AI applications from model selection and testing to runtime and beyond. The platform offers a suite of three core products—Guardian, Recon, and Layer—that operate on a single, unified platform to provide end-to-end AI security for enterprises at scale.
Guardian defends against unseen threats to enable secure AI innovation using any model. It features best-in-class model scanners that scan 35+ different model formats including PyTorch, TensorFlow, ONNX, Keras, Pickle, GGUF, and Safetensors, detecting deserialization attacks, architectural backdoors, and runtime threats. Guardian offers configurable customizable policies, local scanning via Docker containers in CI/CD pipelines, and native Hugging Face integration that continuously scans over 1.5 million public models.
Recon provides the fastest, most effective way to rigorously red team AI apps with an extensive attack library of 450+ known attacks on AI systems spanning six major threat categories. It tests the entire AI app including business objectives, base models, deployed guardrails, RAG pipelines, and system prompts. Recon features augmented red teaming with natural language attack goals, bring-your-own attack prompts, and exports results to CSV/JSON with vulnerability mapping to OWASP Top 10 for LLMs, DASF, and other frameworks.
Layer stops AI threats instantly at runtime with deep visibility and control using 27 turnkey policies based on 15 different security scanners. It tracks the entire conversation flow including tools, function calls, downstream workflows, multi-turn attacks, and metadata. Layer features auto-discovery of AI apps via lightweight eBPF monitoring, seamless integration with security tools like DataDog, Splink, Elastic, and PagerDuty, and security framework alignment with NIST, MITRE, and OWASP standards.
ProtectAI pricing
Pricing model: Freemium
Protect AI uses a custom enterprise pricing model with no public tiered pricing plans available. Pricing is based on the duration and terms of the contract with the vendor, entitling customers to a specified quantity of use for the contract duration. The platform is available through AWS Marketplace with 12-month contract options. Customers must contact Protect AI for a quote. The company targets enterprise customers with production AI deployments. There is no free tier or freemium plan available.
ProtectAI pros
- Comprehensive end-to-end AI security covering model selection through runtime
- Three integrated products on a single unified platform
- Guardian scans 35+ model formats including PyTorch, TensorFlow, ONNX, Keras
- Detects deserialization attacks, architectural backdoors, and runtime threats
- Native Hugging Face integration continuously scans 1.5M+ public models
- Local scanning via lightweight Docker container in CI/CD pipelines
- Configurable granular policies customizable for first and third-party models
- Recon attack library includes 450+ known AI attacks across 6 threat categories
- Recon tests entire AI app not just the model including RAG and system prompts
- Augmented red teaming with natural language attack goals requiring no code
- Layer has 27 turnkey policies based on 15 different security scanners
- Layer auto-discovers AI apps using lightweight eBPF monitoring
- Layer tracks entire conversation flow including tools and function calls
- Integrates with DataDog, Splunk, Elastic, and PagerDuty for automated responses
- Policies map to NIST, MITRE, and OWASP framework standards for compliance
- Powered by 17000+ security researchers from huntr community
- Over 4.84M model versions scanned and 2500+ CVE records submitted
- Flexible deployment options including distributed on-premises and local scanning
- Supports diverse model sources including Hugging Face, MLFlow, S3, SageMaker
ProtectAI cons
- No publicly disclosed pricing requires custom enterprise quote
- No free tier or freemium plan available
- Enterprise-focused may not suit small teams or startups
- Complex platform may require significant training for teams
- Limited third-party reviews and customer feedback available
- No standalone product purchases must buy platform suite
- eBPF deployment requires specific Linux kernel compatibility
- Red teaming capabilities may overlap with existing security team workflows
Frequently asked questions about ProtectAI
What is Protect AI?
Protect AI is the first company focused exclusively on AI and ML security. It is the broadest and most comprehensive AI security solution with a suite of products—Guardian, Recon, and Layer—that operate on a single unified platform and secure AI applications from model selection and testing to runtime and beyond.
What products are included in the Protect AI platform?
The Protect AI platform includes three core products: Guardian for AI model security with best-in-class scanners, Recon for scalable red teaming of AI apps with 450+ attacks, and Layer for runtime security that stops AI threats instantly with deep visibility and control.
What model formats does Guardian support?
Guardian scans 35+ different model formats including PyTorch, TensorFlow, ONNX, Keras, Pickle, GGUF, Safetensors, and LLM-specific formats, detecting deserialization attacks, architectural backdoors, and runtime threats across all major formats.
How does the Hugging Face integration work?
Guardian continuously scans every public model on Hugging Face, over 1.5 million to date, to stay ahead of emerging model risks. This integration enables teams to confidently adopt open source models while maintaining security standards and creates a more secure AI ecosystem for community creators and users.
What attacks does Recon test for?
Recon's extensive Attack Library spans six major threat categories with 450+ known attacks on AI systems, continuously updated to counter zero-day and emerging attack techniques. It uses trained LLMs as detectors to deliver accuracy with limited false positives.
Does Layer monitor only prompts and outputs?
No, Layer tracks the entire conversation flow beyond basic prompts and responses. It monitors tools, function calls, retrievals, embeddings, downstream workflows, multi-turn attacks, and metadata with rich context for more accurate threat detection and reduced false positives.
What security frameworks does Protect AI support?
Layer's policies map directly to industry standards including NIST, MITRE, and OWASP. Recon maps vulnerabilities to standard frameworks such as OWASP Top 10 for LLMs and DASF, making compliance straightforward and enabling customization to fit specific needs.
How does Protect AI stay ahead of emerging threats?
Every Protect AI product is fueled by unparalleled access to threat research from over 17,000 security researchers in the huntr community, plus first-party and academic research. The.attack library receives weekly updates so threat research always drives the product.
What deployment options does Protect AI offer?
Protect AI offers flexible deployment options including distributed scanning, on-premises scanning, local scanning via lightweight Docker containers in CI/CD pipelines, eBPF monitoring for Layer, and SDK integration. It integrates seamlessly into existing AI pipelines, DevOps workflows, and repositories.
How do I get pricing for Protect AI?
Protect AI uses a custom enterprise pricing model with no public pricing available. To get a quote, you need to contact Protect AI directly. The company targets enterprise customers with production AI deployments and pricing is based on contract duration and terms.