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Prisma AIRS secures AI. We govern it.
Prisma AIRS is Palo Alto's AI runtime security platform. Prefactor governs agent performance, cost, and scope across any infrastructure. [1] [2]
What they do well - End-to-end AI security: model scanning, runtime agent defense, and continuous automated red teaming in a single platform — built from the acquisitions of Protect AI and Lakera.
- AI Agent Security: real-time inline defense against prompt injection, tool misuse, and malicious agent behaviour. Shadow agent discovery across sanctioned and unsanctioned deployments.
- AI Model Security: deep architectural analysis of open-source models for backdoors, data poisoning, and malicious code hidden in model layers. Complete supply chain visibility.
- AI Red Teaming: persistent automated adversarial testing that adapts like a real attacker — not periodic, continuous.
- Palo Alto Networks scale: 70,000+ enterprise customers, integration with the broader Palo Alto security ecosystem including Cortex, Prisma Cloud, and XSIAM.
- Trusted by global leaders in finance, healthcare, and government for AI security.
Best for: security teams that need end-to-end protection across the entire AI application lifecycle — from model supply chain through to runtime agent defense.
What we do - Outcome quality assessment: did the agent produce the right result for the task it was deployed to complete?
- Cost efficiency assessment: was the spend proportionate to the result?
- Scope adherence: did the agent stay within its approved boundaries, tools, and actions?
- Composite risk score from these signals, with customer-set thresholds that determine what happens next.
- Inline blocking and approval routing when risk thresholds are crossed.
- Agent registry and lifecycle governance from registration through retirement.
- Immutable audit log for regulatory review.
Best for: AI leadership, AI governance, compliance, and enterprise architecture teams that need continuous operational governance of production agents.
Prisma AIRS asks
- Is this agent being attacked, misconfigured, or behaving maliciously? Is the model supply chain compromised? Are there adversarial vulnerabilities that need to be addressed?
Lens: Threat detection, attack prevention, and security posture across the AI lifecycle.
Prefactor asks
- Is this agent performing as intended, at the right cost, within its approved scope — and what happens automatically when it isn't?
Lens: Operational performance, cost efficiency, and governance enforcement.
An agent can pass every Prisma AIRS security check and still be producing wrong outputs, running at ten times the expected cost, or quietly operating outside its approved scope. These are governance and operational failures, not security failures — that is Prefactor's domain. These tools serve different buyers with different budgets: security operations teams procure Prisma AIRS, while AI leadership and governance teams procure Prefactor.
| Capability | | |
|---|---|---|
| Overview | ||
| Primary question answered | Is this agent being attacked, misconfigured, or compromised? | Is this agent performing as intended, within scope, and worth the cost? |
| Primary buyer | CISO, Security Operations | Head of AI, AI Governance, Enterprise Architecture |
| Security capabilities | ||
| Runtime threat detection | ✓ | — |
| Model supply chain security | ✓ | — |
| Automated red teaming | ✓ | — |
| Shadow agent discovery | ✓ | — |
| Governance & operations | ||
| Outcome quality assessment | — | ✓ |
| Cost efficiency tracking | — | ✓ |
| Composite risk scoring | ◔ | ✓ |
| Inline blocking (risk threshold-based) | ✓ | ✓ |
| Configurable approval routing | — | ✓ |
| Enterprise readiness | ||
| Agent lifecycle governance | — | ✓ |
| Compliance audit trail | ◔ | ✓ |
| Regulated industry design | ✓ | ✓ |
Related: Prefactor for CISOs
Security and governance are both required
If you already use Prisma AIRS for AI security, Prefactor adds the operational governance layer — performance assessment, cost tracking, and structured human-in-the-loop controls.
Book a demo View all comparisonsFrequently asked questions
Does Prefactor compete with Palo Alto Networks Prisma AIRS?
They solve different problems at different layers. Prisma AIRS is an AI security platform — it protects against threats, adversarial attacks, and model supply chain risks. Prefactor is an agent control plane — it assesses operational performance, cost efficiency, and scope adherence, and enforces governance controls. Regulated enterprises typically deploy both.
What does Prefactor do that Prisma AIRS doesn't?
Prefactor assesses whether agents are delivering their intended business outcomes — measuring outcome quality, cost efficiency, and scope adherence — and acts on that assessment via inline blocking or configurable approval routing. Prisma AIRS does not include an operational performance or ROI assessment layer.
Does Prisma AIRS include governance features?
Prisma AIRS includes AI posture management and policy enforcement from a security perspective — managing permissions, configurations, and access controls. It does not include operational governance features such as deployment approval workflows, outcome quality assessment, cost efficiency tracking, or configurable human-in-the-loop routing based on performance risk.
How We Reviewed This Comparison
This page was reviewed against public product and documentation pages on March 19, 2026. If a vendor has changed a feature, product name, or positioning since then, send a correction and we will update the comparison.
Numbered source links in the page body point to the ordered public sources below.
Sources reviewed
Prefactor contextMethodology
- Reviewed public product, documentation, and launch material visible at the time of writing.
- Mapped each page to the primary buyer, control layer, and runtime capabilities each vendor describes publicly.
- Prefer direct product and documentation pages over analyst summaries or reseller material.