Question 1

What is Prisma AIRS?

Accepted Answer

Prisma AIRS (AI Runtime Security) is Palo Alto's platform for securing AI itself — protecting the AI models, applications and agents that enterprises are now building and deploying. As organisations rush to adopt AI (GenAI apps, copilots, and increasingly autonomous agents), they create a brand-new, largely-unprotected attack surface: models can be attacked (prompt injection, jailbreaks), AI apps can leak sensitive data or be manipulated, training data can be poisoned, and autonomous agents can be hijacked to take harmful actions. Traditional security wasn't built for any of this. Prisma AIRS secures the AI lifecycle: it discovers the AI in use (including shadow AI), assesses and scans models and AI apps for risks and vulnerabilities, and protects AI applications and agents at runtime — defending against prompt injection, sensitive-data leakage, malicious responses, model attacks and agent hijacking. It's a leading platform in the fast-emerging AI-security category, backed by the Palo Alto platform and Precision AI.

Question 2

Why does AI need its own security — isn't traditional security enough?

Accepted Answer

No — traditional security wasn't built for the AI attack surface, which is genuinely new and different. Consider the specific ways AI gets attacked, none of which traditional security tools address: prompt injection (an attacker crafts inputs that manipulate a large language model into ignoring its instructions, revealing information it shouldn't, or taking harmful actions — a fundamentally new attack class with no equivalent in traditional apps); jailbreaks (bypassing the safety controls built into an AI); sensitive-data leakage (AI apps inadvertently exposing confidential data they were trained on or given access to); model attacks and data poisoning (corrupting the AI's training data or the model itself to make it behave maliciously); and agent hijacking (manipulating an autonomous AI agent into taking harmful actions in the systems it can access). A traditional firewall, endpoint agent or app-security tool has no concept of a prompt, a model, or an AI agent — it can't detect a prompt injection or prevent an LLM from leaking data, because those aren't the kinds of threats it was designed for. As enterprises deploy AI everywhere and attackers increasingly target it, this new, AI-specific attack surface needs security purpose-built for it. That's exactly what Prisma AIRS provides, and why ‘securing the AI you build' is emerging as an essential new security discipline rather than something existing tools cover.

Question 3

What is prompt injection and how does Prisma AIRS defend against it?

Accepted Answer

Prompt injection is the core attack against AI applications built on large language models (LLMs), and one of the most important new security risks. An LLM-based app works by taking user input and combining it with the app's instructions to produce a response. In a prompt-injection attack, the attacker crafts malicious input designed to manipulate the model into ignoring its original instructions and instead doing what the attacker wants — revealing confidential information, bypassing safety controls (a ‘jailbreak'), producing harmful output, or, in the case of an AI agent, taking harmful actions. Because the model processes natural language and can't inherently distinguish between the app's legitimate instructions and the attacker's injected ones, this is a subtle and serious vulnerability that traditional input-validation doesn't catch. Prisma AIRS defends against prompt injection at runtime: it monitors and analyses the inputs to and outputs from your AI applications, detecting and blocking prompt-injection and jailbreak attempts, preventing sensitive-data leakage, and blocking malicious or manipulated responses — so your GenAI apps can't be trivially manipulated into misbehaving or leaking data. As prompt injection is the primary way LLM apps get attacked, runtime protection against it is central to securing any AI application, and it's a core capability of Prisma AIRS.

Question 4

Why is securing AI agents especially important?

Accepted Answer

Because AI agents raise the stakes dramatically compared to AI chatbots or assistants. A traditional GenAI chatbot generates text — if it's manipulated (via prompt injection), the worst outcome is usually that it says something wrong, leaks some information, or produces harmful content. An AI agent, by contrast, is autonomous and takes actions: it can access systems, execute tasks, make decisions, call APIs, move data, and operate with real permissions in your environment. So if an agent is hijacked — manipulated into acting against your interests — it doesn't just say the wrong thing, it does the wrong thing, with potentially serious real-world consequences (accessing or exfiltrating data, taking unauthorised actions, causing damage in the systems it can reach). As enterprises move from AI that generates content to agentic AI that autonomously takes actions — a major current trend — securing those agents against hijacking and ensuring they can't be manipulated into harmful actions becomes one of the most important new security problems. Prisma AIRS is built to secure autonomous agents, putting it ahead of a risk that most organisations are only beginning to recognise as they start deploying agents. Given how quickly agentic AI is advancing (see also Cortex AgentiX for Palo Alto's own security AI agents), securing agents is a forward-looking capability that will matter increasingly, and it's a differentiator of Prisma AIRS.

Question 5

Is AI security mature, and how does Prisma AIRS compare?

Accepted Answer

AI security is a genuinely new and fast-emerging category — it's evolving very quickly as AI adoption accelerates and as the threats and defences both develop. This means it's less mature and settled than established security categories like firewalls or endpoint protection, and the competitive landscape is dynamic: specialist startups (Robust Intelligence, HiddenLayer and others), cloud providers' native AI guardrails, and major security vendors are all entering the space. Prisma AIRS's distinguishing strengths in this emerging market are its breadth (covering the full AI security lifecycle — discovery including shadow AI, assessment, and runtime protection — rather than a single point capability), its coverage of the frontier risks (particularly agent security), its backing by the Palo Alto platform and Precision AI, and Palo Alto's security pedigree and resources behind it. Because the category is new and moving fast, this is an area where a strategic, forward-looking choice matters, and where a leading platform vendor investing heavily has advantages over point tools. For enterprises actively deploying AI (especially AI apps and agents) that need to secure it end-to-end, Prisma AIRS is a strong, forward-looking choice. TechBag is especially valuable in an emerging space like this: it helps you understand your actual AI attack surface, scope where AI security matters most for you, evaluate Prisma AIRS against the fast-changing alternatives, and model the commercials — in INR/GST.

Question 6

Why buy through TechBag?

Accepted Answer

TechBag is a Bengaluru-headquartered reseller serving pan-India: AI-surface scoping (the AI you're building/deploying — apps, agents — and your AI-security gaps), an AIRS PoC (AI discovery including shadow AI, model/app assessment, runtime protection against prompt injection), rollout (protecting AI apps and agents, assessing models pre-deployment, AI governance), guidance in a fast-emerging category, honest comparison with AI-security startups and cloud guardrails, and INR/GST invoicing with local expertise.

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

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

Prisma AIRS

The Palo Alto Networks platform family

Quick facts

Understand AI security before you buy it

What is it?

Unsecured AI vs AI secured by AIRS — the honest table

The five pieces of the platform

Discover

Assess

Runtime Protection

Agent Security

Data Protection

Twelve capabilities. Discover, assess, protect.

AI Discovery

Model Scanning

AI App Assessment

Prompt-Injection Defence

Data-Leak Prevention

Agent Security

Model-Attack Defence

Runtime Protection

Malicious-Response Control

AI Security Posture

Full AI Lifecycle

Precision AI-Backed

Watch Prisma AIRS in action

Why Security Platformization Is the Future of Cyber Resilience

Strata Network Security Platform

Transform Your SecOps: Cortex XSIAM Demonstration

You’re deploying AI fast. Are you securing it?

AI is a new, largely-unprotected attack surface

Prompt injection and data leakage — the real GenAI risks

Securing autonomous agents — the next frontier

You can't secure the AI you don't know about

The whole AI lifecycle — discover, assess, protect

The honest positioning

The numbers behind the platform

What your Palo Alto Prisma AIRS journey looks like

AI-surface scoping

AIRS PoC

Rollout

AI-secure steady state

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TechBag AI-Security Grid

Coverage Breadth × Runtime Protection

Prisma AIRS vs the AI-security field

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