
Palo Alto Networks Prisma AIRSAn AI runtime security API/agent platform that protects AI agents at runtime against prompt injection, data leaks, tool misuse, and memory attacks.
Overview
Key features
- Runtime security for AI agents
- Detection and blocking of malicious activities
- Protection against prompt injection
- Prevention of data leaks and tool misuse
Pricing
- Model
- Contact for pricing
- Category
- Other
- Rating
- 4.4 / 5 (5)
Use cases
Prevent Prompt Injection Attacks
Protect production AI agents from malicious prompt injection attempts by inspecting and filtering inputs at runtime through the security API.
Block Sensitive Data Leaks
Monitor AI agent outputs to detect and prevent leakage of confidential or regulated data before it reaches end users or external systems.
Secure Agent Tool Usage
Guard against tool misuse by AI agents, ensuring that function calls and external integrations operate within authorized boundaries.
Defend Against Memory Attacks
Safeguard AI agent memory and context stores from tampering or poisoning that could compromise long-running agent behavior.
Pros & Cons
Pros
- Protects against prompt injection and data leaks
- Prevents tool misuse and memory attacks
- Designed for AI runtime security
- Monitors and controls AI agent interactions
Cons
- Specific implementation details not provided
- Workflow integrations and comparisons to alternatives not specified
- May require customization for different AI environments
Reviews
Average from 5 ratings.
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Years in this space
I've evaluated a lot of these over the years. What stands out here is the dashboard — handled better than most — and support is responsive. The mobile experience lags is my one real gripe. Worth the time if this is your use case.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on the integrations, and it is genuinely easy to set up caught me off guard. Pricing gets steep at scale is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Solid for our team
We rolled this out across the team last quarter and support is responsive. The integrations fits neatly into how we already work, and the onboarding removed a step we used to do by hand. The docs could be deeper, which is the main caveat, but it has held up under daily use.
Use it every day
Honestly didn't expect to like it this much. The core workflow is exactly what I needed, and it is genuinely easy to set up. but I reach for it almost every day now and it just clicks.
Compared a few options
Evaluated this against two competitors. Where it wins: the onboarding and the value for money is strong. On balance the feature set — especially the core workflow — justifies the 5 stars for our use case.
Q&A
Is Prisma AIRS an API, an agent, or both?
Prisma AIRS is offered as both an API and an agent platform, giving teams flexibility in how they integrate runtime security into their AI agent deployments.
What is the primary use case for Prisma AIRS?
It's built for organizations deploying AI agents in production who need runtime security controls to mitigate risks like prompt injection, sensitive data exposure, unauthorized tool use, and attacks targeting agent memory.
What types of AI threats does Prisma AIRS protect against?
Prisma AIRS is designed to protect AI agents at runtime from prompt injection attacks, data leaks, tool misuse, and memory-based attacks, providing security coverage for common AI agent vulnerabilities.
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