ProtectAI
Secure AI and ML systems, detect vulnerabilities, enhance model safety.
Key Takeaways
- What it is
- Secure AI and ML systems, detect vulnerabilities, enhance model safety.
- Best for
- Radar AI Security Posture Management
- Guardian Model Security
- Sightline Vulnerability Database
- Rating
- 4.5/5
What is ProtectAI?
In the rapidly evolving field of artificial intelligence and machine learning, ensuring the security of these technologies is crucial. ProtectAI offers a comprehensive solution for protecting AI and ML systems against vulnerabilities. This platform is designed to secure large language models (LLMs) and provide end-to-end security monitoring, helping organizations manage and mitigate AI security risks effectively.
ProtectAI stands out for its holistic approach to AI security, combining tools like Radar and Guardian for comprehensive coverage. Its proactive vulnerability database, Sightline, offers advanced warnings, enabling timely preventive measures and setting it apart in the AI security landscape.
ProtectAI excels in delivering comprehensive and proactive security solutions for AI and ML systems. Its innovative features, such as Sightline and Guardian, offer significant advantages in early threat detection and model security. With strong community support and a commitment to continuous innovation, ProtectAI is a leading choice for securing AI-driven operations.
Who is Using ProtectAI?
Tech Giants
Implementing advanced security measures for their AI and ML operations.
Financial Institutions
Securing AI-driven financial models and protecting customer data.
Healthcare Providers
Ensuring the security of AI tools used in diagnostics and patient data analysis.
Government Agencies
Safeguarding AI applications in critical infrastructure.
Uncommon Use Cases
Academic researchers securing AI research projects; non-profits protecting data analytics tools.
Key Features
Rating Breakdown
Pricing Plans
Enterprise Solutions
- Custom pricing based on specific organizational needs and scale
Consultation Services
- Pricing varies depending on the scope and complexity of the security requirements
ProtectAI Use Cases
Secure AI models in production
Scan prompts and model responses through the Prisma AIRS API.
Outcome: Threats are identified and recommended actions are returned.
Detect data poisoning
Inspect training data and AI assets for contamination and related risks.
Outcome: Potentially compromised data can be identified before fine-tuning.
Protect AI agents
Scan agent inputs, outputs, tools, and workflows for malicious behavior.
Outcome: Malicious inputs and unsafe agent activity can be blocked.
Prevent sensitive-data leakage
Apply API and runtime security controls to AI interactions.
Outcome: Sensitive information can be detected and blocked before exposure.
Secure model supply chains
Scan third-party models for tampering, malicious scripts, and deserialization attacks.
Outcome: Vulnerable models can be identified before adoption.
Workflow Ideas with ProtectAI
Embed API-based AI threat scanning
- 1Create a Prisma AIRS AI Runtime API application
- 2Generate an API key and security profile
- 3Embed the scan endpoint or Python SDK in the application
Deploy runtime AI protection
- 1Create a cloud deployment profile
- 2Generate and deploy the Terraform template
- 3Configure policies and monitor AI security logs
Integrate Microsoft Foundry protection
- 1Create a Prisma AIRS deployment profile and API key
- 2Configure the Palo Alto Networks integration in Microsoft Foundry
- 3Test prompts through the protected Foundry guardrail
How ProtectAI fits into your stack
Multi-Vendor Support
Compatible with various ML vendors and tools, avoiding vendor lock-in.
Cloud Compatibility
Fully integrates with major cloud platforms for easy deployment.
API Access
Provides robust API support for custom integrations and enhancements.
Open Source Integration
Integrates seamlessly with community-driven open-source security tools.
Pros
- +Comprehensive Security Coverage: Protects all aspects of AI security, from foundational models to application-level integrations.
- +Early Vulnerability Detection: Sightline provides alerts about vulnerabilities up to 30 days before they become public.
- +Ease of Integration: Compatible with various ML tools and vendors, ensuring smooth integration into existing systems.
- +Community and Support: Access to a vibrant community and expert insights through platforms like MLSecOps and huntr.
Cons
- −Complexity of Features: New users may need time to fully utilize all the available tools and features.
- −Resource Intensiveness: Some tools may require significant system resources to operate effectively.
- −Limited Awareness: As a relatively new field, some organizations may not yet fully appreciate the need for specialized AI security solutions.
Limitations & when to consider alternatives
Known limitations
- Synchronous payload limit. Synchronous scan requests are limited to 2 MB and a maximum of 100 URLs per request.
- Asynchronous payload limit. Asynchronous scan requests are limited to 5 MB and a maximum of 100 URLs per request.
- Asynchronous batching limit. Asynchronous requests are limited to 25 batched requests.
- Microsoft Foundry modality limitation. The Microsoft Foundry integration does not handle images, audio, or other modalities.
- Microsoft Foundry latency limitation. Detections exceeding a 300-millisecond round trip can be rejected.
Look elsewhere when
- You need a native mobile app.
- You need a general-purpose AI assistant that generates code.
- You need image or audio understanding.
How to Use ProtectAI
- 1
A range of tutorials, from basic setup to advanced security strategies, is available on ProtectAI's official YouTube channel and dedicated learning resources on their website.
Who is ProtectAI For?
IT professionals
Use Prisma AIRS to deploy and manage enterprise AI security across cloud and network environments.
Security practitioners
Monitor threats, configure security policies, and protect AI applications, models, agents, and datasets.
Developers
Embed Security-as-Code and API-based threat scanning directly into AI applications.
System administrators
Configure cloud deployments, traffic routing, firewalls, policies, and threat monitoring.
Business leaders
Gain centralized visibility and governance across the enterprise AI ecosystem.
Frequently Asked Questions
What is Prisma AIRS?
Prisma AIRS is a comprehensive AI security platform for protecting enterprise AI applications and LLM deployments.
What threats does Prisma AIRS protect against?
It protects against prompt injection, model tampering, agentic threats, malicious prompts, and suspicious behavior.
How does Prisma AIRS stop threats in real time?
It continuously monitors AI traffic for prompt injection, sensitive-data exposure, malicious URLs, and toxic content.
How does Prisma AIRS secure autonomous AI agents?
It provides AI Agent Security against risks including memory manipulation and tool misuse.
What deployment modes are available?
Documented deployment modes include Network Intercept and API Intercept.
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