Secure the AI you build — Prisma AIRS discovers, assesses and protects your AI models, apps and agents against prompt injection, data leakage, model attacks and agent hijacking, at runtime.
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This page covers Prisma AIRS — securing AI. The rest of the portfolio:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
Palo Alto's platform for securing the AI you build — protecting AI models, apps and agents against prompt injection, data leakage, model attacks and agent hijacking, across the AI lifecycle.
What consolidation actually replaces, dimension by dimension.
| Dimension | Unsecured AI (new surface, exposed) | Prisma AIRS (AI secured) |
|---|---|---|
| AI attack surface | Unprotected | Secured by AIRS |
| Prompt injection | Undefended | Blocked at runtime |
| Data leakage via AI | Uncontrolled | Prevented |
| AI agents | Hijackable | Secured |
| Shadow AI | Invisible | Discovered |
| Model attacks | Unaddressed | Defended |
| Approach | Point tools / none | Full lifecycle platform |
| Traditional security | Not built for AI | Purpose-built for AI |
A leading platform in the fast-emerging AI-security category — startups and cloud guardrails also compete.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Discovers the AI in use across the enterprise — including shadow AI you didn't know about.
Scans AI models and applications for risks and vulnerabilities — before and during deployment.
Protects AI apps and agents at runtime — against prompt injection, leakage and manipulation.
Secures autonomous AI agents — preventing hijacking and harmful actions.
Prevents sensitive-data leakage through AI apps — a top GenAI risk.
Cloud, endpoint and network telemetry sharing a single fabric — threats connected once, not hunted from console to console.
Prisma AIRS discovers the AI in use, assesses models and apps for risk, and protects AI apps and agents at runtime — the new attack surface, defended.
Find the AI in use — including shadow AI across the enterprise.
Scan AI models for risks and vulnerabilities before deployment.
Assess AI applications for security risks — the new app class.
Stop prompt injection and jailbreaks — the core LLM attack.
Prevent sensitive-data leakage through AI apps — a top GenAI risk.
Secure autonomous agents — prevent hijacking and harmful actions.
Defend against model attacks and data poisoning.
Protect AI apps and agents live, in production.
Block harmful or manipulated AI responses.
Understand and improve your AI security posture.
Discover, assess and protect — across the AI lifecycle.
Palo Alto's security AI helps secure your AI.
AI discovery, model assessment and runtime protection against prompt injection.
The platformization thesis — Strata, Prisma and Cortex as one strategy.
Secure whatever, whenever, wherever — the network security platform.
The autonomous SOC in action — XSIAM demonstrated.
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Book a guided demo →Here’s what genuinely sets Palo Alto Prisma AIRS apart from the alternatives.
Enterprises building GenAI apps, copilots and agents are creating a new attack surface traditional security wasn’t built for: prompt injection, jailbreaks, data leakage, poisoned training data, hijacked agents. Prisma AIRS exists because this AI surface is real, growing fast and mostly undefended.
The headline AI risks are concrete: prompt injection that manipulates an LLM into ignoring its instructions, jailbreaks that bypass safety controls, and sensitive-data leakage. Prisma AIRS defends against them at runtime, so your GenAI apps can’t be trivially manipulated or made to leak data.
As AI moves from chatbots to autonomous agents that access systems and execute tasks, a hijacked agent can do the wrong thing, not just say it. Prisma AIRS secures agents against hijacking and harmful actions — ahead of a risk most organisations haven’t addressed.
You can’t protect what you can’t see, and shadow AI — apps, models and services adopted without security’s knowledge — is rampant. Prisma AIRS discovers the AI in use across the enterprise, giving you an inventory to secure; most organisations deploy AI faster than they track it.
Prisma AIRS covers the AI security lifecycle: discover the AI, assess and scan models and apps before and during deployment, and protect them at runtime. It’s a platform for securing AI end to end, not a point tool for one risk.
Prisma AIRS is a leading platform in the fast-emerging, quickly evolving AI-security category, best when you’re deploying AI apps and agents. Its edge is the Palo Alto platform, Precision AI backing and breadth, as startups and other vendors enter. TechBag scopes your AI attack surface and models it, in INR/GST.
The AI you're building/deploying (apps, agents), and your AI-security gaps. TechBag scopes it free.
Discover AI in use (incl. shadow AI), assess models/apps, and test runtime protection against prompt injection.
Protect your AI apps and agents at runtime; assess models before deployment; govern AI use.
Your AI attack surface discovered, assessed and protected. TechBag models the TCO in INR/GST.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“Prisma AIRS secures the AI we’re building, defending against prompt injection, data leakage and model attacks.”
“Prompt-injection and jailbreak defence means our GenAI apps can’t be easily manipulated or made to leak data.”
“A hijacked agent doesn’t just say the wrong thing, it does it. Prisma AIRS was built ahead of that risk.”
“Discovery found shadow AI we had no idea about — you can't secure what you can't see. The essential first step most orgs haven't taken.”
“It covers the whole lifecycle — discover, assess, protect — not a point tool for one AI risk. A platform for securing AI end-to-end.”
“The category is new and startups are entering. Platform fit and Precision AI backing made AIRS our choice.”
“TechBag scoped our AI attack surface and where AIRS mattered most, for the AI we’re rushing to deploy.”
“Sensitive-data-leak prevention through our AI apps — a top GenAI risk, addressed. Our confidential data stays put even as we adopt AI everywhere.”
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the AI security market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Full AI-security platform — this page.
The grid nobody publishes — AI-security lifecycle breadth vs runtime protection strength.
Breadth + platform — the corner it fills.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
The emerging AI-security options and the unsecured baseline — honest lanes; the edge is breadth plus the Palo Alto platform.
| Dimension | Palo Alto Prisma AIRS | AI-security startups | Cloud-native AI guardrails | Traditional security | No AI security |
|---|---|---|---|---|---|
| Approach | Full AI-security platform | Point AI-security tools | Provider guardrails | Not built for AI | None |
| Runtime protection | Prompt injection, leakage, agents | Varies | Basic | None | None |
| Agent security | Yes | Emerging | Limited | None | None |
| Discovery + lifecycle | Discover/assess/protect | Partial | None | None | None |
| Best fit | Enterprises deploying AI (apps/agents) needing to secure it | Specific AI-risk needs | Basic guardrails | Nobody serious about AI | Nobody deploying AI |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Drag the sliders (count AI apps/agents deployed; IT-hour cost as loaded rate). Estimates assume ~10 hours per AI app per year of exposure from an unprotected AI attack surface, with ~65% removed by AI discovery, assessment and runtime protection — the avoided AI-breach and data-leak value is the larger unpriced win. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Prisma AIRS prices by AI scope. TechBag scopes your AI attack surface and quotes in INR/GST.
Best for AI visibility
Best for live defence
Best for agentic AI
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your requirements and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Test AI discovery — does it find the shadow AI you didn't know about?
Test runtime defence against prompt injection and jailbreaks — the core LLM attack.
Test prevention of sensitive-data leakage through AI apps.
If you deploy agents, test protection against hijacking and harmful actions.
Test scanning models and AI apps for risks before deployment.
Confirm discover + assess + protect — an end-to-end platform, not a point tool.
Consider the Palo Alto platform and Precision AI backing — the ecosystem edge.
Model the TCO for your AI attack surface — TechBag quotes in INR/GST.
Scope an AIRS PoC (AI discovery, runtime protection on your real AI), or let a TechBag advisor scope your AI attack surface — in INR/GST.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.