All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
This analysis is scoped to Prisma AIRS.
Palo Alto Networks sells Prisma AIRS, a platform that protects enterprises' AI applications, models, data and agents. Prisma AIRS inspects prompts and responses inline to block prompt injection, data leakage and unsafe model output. Palo Alto Networks bought Protect AI, a specialist in securing AI models, and says integrating that company's technology will be a cornerstone of Prisma AIRS. It also bought Portkey for its AI gateway, which routes traffic to AI models. The named customers of Prisma AIRS are TELUS Digital, Glean and Moveworks. Leidos, a strategic partner of Palo Alto Networks, is demonstrating Prisma AIRS for government customers. The customer references Palo Alto Networks publishes for Prisma AIRS describe early adoption of a platform it assembled partly by acquisition.
| Description | Palo Alto Networks secures enterprise AI adoption with its Prisma AIRS platform, which discovers AI agents, apps, and models, tests them for risk, and enforces runtime controls against prompt injection, data exposure, and unsafe actions. | [f1] |
|---|---|---|
| Subsidiaries | CyberArk (Identity security company whose $25B acquisition Palo Alto Networks completed on February 11, 2026, establishing identity security as a platform pillar. Tracked as its own catalog entry.) | |
| Deployment | SaaS, Self-hosted | [f2] |
| Compliance | ENS High, ISO 27001, PCI DSS, SOC 2 | [f2] |
| Product | What it does |
|---|---|
| Palo Alto AI-SPM | AI security posture management in Prisma Cloud that discovers and inventories AI models and applications, classifies sensitive training and inference data, and flags data exposure and model risk. |
| Prisma AIRS | Palo Alto Networks’ AI security platform, whose AI Runtime Security inspects prompts and responses inline to block prompt injection, data leakage, and unsafe model output. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Orchestration Tools Agentic orchestration tools, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients on user devices. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Gateways & Routers MCP proxies and gateways, LLM routers, outbound AI-service traffic, shadow AI egress, and model-registry traffic. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, AIBOM, and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
Prisma AIRS inspects prompts and responses inline to block prompt injection, data leakage, and unsafe model output. AI-SPM in Prisma Cloud discovers and inventories AI models and classifies sensitive training and inference data. These lines are mapped to the AI Defense Matrix. [f3]
Cyber Defense Matrix
| Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|
| Devices Workstations, servers, phones, tablets, storage, network devices, IoT infrastructure, and similar hardware. | |||||
| Applications Software, interactions, and application flows on the devices. | |||||
| Networks Connections and traffic flowing among devices and apps, plus communication paths. | |||||
| Data Content at rest, in transit, or in use across devices, apps, and networks. | |||||
| Users The people using the devices, apps, networks, and data. |
Next-Generation Firewalls, Prisma Access, Cortex XDR, Cortex Cloud, and Enterprise DLP secure conventional networks, users, endpoints, applications, and data. These product lines are mapped to the Cyber Defense Matrix. [f4]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score | Rationale |
|---|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 | The datasheet names the AI-specific threats and the acquisition press places the buyer across regulated industries (s3, s6), with Network World framing the risk, but that pain stays qualitative and the non-vendor grounding rests on a single press source (s5), placing it at present-but-unproven. [s3, s5, s6] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 4/5 | Public documentation details a lifecycle platform and independent press confirmed the model-scanning, red-teaming, and runtime breadth (s2, s3, s8), an external validation point that earns the differentiated rung, but no third-party benchmark or analyst capability placement appears, so it stays below the top rung. [s2, s8, s3] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 | Gartner tracks Prisma AIRS in two AI-security markets and Network World frames active demand as the line shipped agentic capability in 2026 (s5, s6, s7), multiple buyer-side signals that earn the differentiated rung, but the evidence does not reach the independently established and accelerating demand the top rung requires. [s5, s6, s7] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 4/5 | The Protect AI acquisition brought a press-recognized leader in securing AI models with its founders, and chief executive Ian Swanson became vice president of product for the line, a verifiable domain exit, short of sustained independent recognition for Prisma AIRS itself. [s8, s4] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 | The line is generally available, tracked by Gartner in two AI-security markets, and named customers appear in TELUS Digital, Glean, Moveworks, and Leidos, but every reference is vendor-published and early-stage with no independent production metrics, so the references corroborate demand without carrying the score above the baseline. [s9, s10, s7] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 | The line shows a fast shipping cadence and absorbed two acquisitions in a year, visible output, but no product-line economics appear in the record and the score does not lean on Palo Alto Networks' balance sheet, so efficiency cannot be confirmed. [s4, s8] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 4/5 | Gartner places Prisma AIRS in named AI Security Testing and AI Security and Anomaly Detection markets and Network World slots it into AI security without coaching, a category buyers already recognize. [s7, s5] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | Prisma AIRS runs inline and bundles acquired model-scanning, red-teaming, and the Portkey gateway (s1, s8), real friction, but cloud platforms ship native guardrails and rival consolidators assemble comparable suites, and parent distribution is reach not a category moat, so the line sits at workflow-friction rather than a structural moat. [s1, s8] |
Enterprises putting AI models, applications, and agents into production face attacks that conventional security tools were not built to see, and Prisma AIRS names them directly. The runtime datasheet lists prompt injections, malicious code, toxic content, sensitive data leaks, resource overload, and hallucination attacks as the threats the product is built to block.
The buyer is the organization deploying AI across a regulated business. The acquisition announcement places the demand in finance, government, healthcare, manufacturing, and retail, and independent press framed the move as a response to AI-powered applications that bring risks traditional security tools cannot adequately handle.
The problem has widened from chatbots to autonomous agents. Palo Alto Networks shifted the pitch in March 2026 to securing agents that execute tasks independently, arguing that enterprises monitor what AI says but stay blind to what AI does, a framing that names a current and escalating pain rather than a hypothetical one. [s3, s5, s6]
Prisma AIRS is positioned as a single platform spanning the AI lifecycle rather than a single screening control. The documentation describes a purpose-built, centralized security platform protecting AI applications, models, data, and agents, with an AI Runtime Firewall, an AI Runtime API, and AI Model Security as named components.
The breadth came largely through acquisition. Press covering the Protect AI deal reported that the combined platform would provide model scanning, posture management, AI red teaming, runtime protection, and AI agent security, a set that reaches from build-time model inspection through production defense. This places Prisma AIRS wider than the content-filtering guardrails the cloud platforms ship.
The 3.0 release pushed the platform toward agents. Palo Alto Networks added a control plane by acquiring Portkey, an AI gateway pioneer, closing the deal in May 2026 and establishing Portkey as the core AI Gateway for Prisma AIRS to monitor, govern, and protect every AI application, model, and autonomous agent, extending the product from inspecting model traffic to governing agent identity and actions. [s2, s8, s1, s11]
AI security is now a recognized category with a crowded field, and Palo Alto Networks competes in it as a platform consolidator rather than a point vendor. Gartner Peer Insights tracks Prisma AIRS in its AI Security Testing and AI Security and Anomaly Detection markets, so buyers and analysts place the product without vendor coaching.
The cloud and model platforms are the structural threat. AWS, Microsoft, and Google bind safety controls to their own model services, and a buyer already committed to one of those platforms can turn on native guardrails without a separate product. Prisma AIRS answers with breadth and neutrality, covering models across clouds so a multi-cloud enterprise can centralize AI safety instead of accepting one platform's native controls.
Against the independent specialists, Palo Alto Networks competes on consolidation and reach. Where Lakera, Prompt Security, and HiddenLayer sell focused layers, Prisma AIRS offers the lifecycle under one platform already embedded in the security stack a large enterprise runs, trading best-of-breed depth in any one layer for one vendor and one console. [s7, s1, s8]
Distribution is the line's strongest go-to-market asset, and it belongs to the parent. Prisma AIRS reaches buyers through Palo Alto Networks' enterprise sales force and existing platform footprint, a channel a standalone AI-security vendor cannot match, which counts here as an indirect signal rather than as proof the product wins on its own.
Named demand exists, but it is mostly vendor-published and early. The product page carries customer voices from TELUS Digital, Glean, and Moveworks, and the Protect AI completion release calls TELUS Digital an early customer and describes Leidos as an early adopter demonstrating safe AI acceleration for government users. These are testimonials and early-adopter statements published by the vendor rather than independent production metrics or referenceable deployments a buyer can inspect for depth.
Roadmap velocity is the clearest demand signal. Palo Alto Networks moved from the 2025 launch to Prisma AIRS 3.0 by March 2026, absorbing the Protect AI acquisition and closing the Portkey acquisition in May 2026 to fill the platform out, a pace that suggests pull but does not substitute for deep, independently verified adoption. [s9, s10, s1, s11]
The team behind Prisma AIRS pairs Palo Alto Networks' security organization with an acquired specialist. The completion of the Protect AI acquisition brought a company independent press called a leader in securing AI applications and models, a verifiable exit in the exact domain rather than a general security pedigree.
The acquired leadership stayed and took ownership of the line. Press reported that Protect AI's chief executive Ian Swanson, along with its founders and employees, joined Palo Alto Networks, with Swanson becoming vice president of product for Prisma AIRS.
What the record does not yet show is sustained independent recognition for the line itself, such as analyst leadership placement or named research output under the Prisma AIRS banner, so the credibility comes from the acquired specialist team and Palo Alto Networks' shipping record rather than on a track record the product has built on its own. [s8, s4, s5]
Prisma AIRS is generally available and production-deployed, sold as a managed platform inside Palo Alto Networks' cloud, and it has reached a maturity where it screens live AI traffic and scans models before deployment. The runtime component operates inline in the request flow, evaluating prompts and responses against configured policy.
Operational fit targets enterprise governance. The platform adds posture management and model scanning aimed at the AI governance, risk, and compliance work regulated industries must document, and the 3.0 control plane centralizes monitoring and policy enforcement across applications, models, and agents.
The open trust question is verification and maturity at the edges. The newest agent-security capabilities arrived in 2026 and parts ship in limited preview, and Palo Alto Networks publishes its safety claims without an independent benchmark in the record, so a cautious buyer is trusting the platform's own assurances on the newest surface. [s2, s6, s1]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| Lakera | competes with | A focused guardrail layer screening prompts, outputs, and agent tool calls. | N/AWe scored these companies at different scopes, so the totals measure different things. |
| Prompt Security | competes with | A model-agnostic runtime safeguard across LLM providers and self-hosted models. | N/AWe scored these companies at different scopes, so the totals measure different things. |
| HiddenLayer | competes with | A specialist in model scanning and AI red teaming, the build-time layer Prisma AIRS bought into. | N/AWe scored these companies at different scopes, so the totals measure different things. |
| TrojAI | competes with | An AI security vendor offering model scanning and runtime protection in the same category. | N/AWe scored these companies at different scopes, so the totals measure different things. |
| Amazon Web Services | competes with | The Bedrock Guardrails native safety layer a cloud-committed buyer can turn on instead. | N/AAmazon Web Services is scored by product line, not as a whole company, so there is no company-wide column to compare. Open its profile to compare a specific product. |
Add analyzed competitors to compare them side by side with Palo Alto Networks.
A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
reinforce or reposition
A Prisma AIRS customer stays for the cost of switching more than for any moat the cited record establishes. The line runs inline in live AI traffic with deployed enforcement points and configured policies, so moving off it means standing those up again and re-tuning policy across the AI estate. The model scanning and red teaming, work that stress-tests AI models before they run, is technically specialized capability, and the cited record does not establish its build duration or how quickly a rival could close the gap. The cited record evidences no proprietary dataset behind it. The customer buys software it runs rather than a service answering for the safety outcome, and the cited record identifies no product-specific regulatory mandate.
| Dimension | Score | Rationale |
|---|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 | Customers buy a product they configure and operate rather than a service in which Palo Alto Networks accepts judgment or accountability for the safety outcome. The record establishes token-based licensing for the Runtime API but not line-wide licensing or pricing terms. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | The platform runs inline with deployed enforcement points and configured policies, so replacing it means standing up new enforcement surfaces and re-integrating and re-tuning policy across the AI estate, meaningful friction short of network effects or mandated data residency. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | The cited record identifies no product-carried authorization, no retained liability, and no regulatory mandate that would block replacing the line. The documentation the platform produces, red team reports, scan results, and posture findings, supports a customer's own governance work rather than any requirement that locks the product in. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | Inline screening at production latency, model vulnerability scanning, and adversarial AI red teaming are the documented technical tasks, and they sit in the machine-learning and adversarial-AI territory this rung describes. The cited record does not state build durations. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | The cited pages name demand for the line across regulated industries including finance, government, and healthcare, which is the buyer class this rung describes. They do not document the procurement process those buyers run for this line specifically. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 3/3 | The acquired AI gateway routes and governs model traffic as the platform's control point, and the runtime firewall and API screen prompts and responses in the production request flow. The gateway's routing role is documented, and the documented deployment behavior of the firewall and API is inline screening rather than established routing infrastructure for every component. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 | The cited record identifies no proprietary dataset, attack corpus, content license, or other non-recreatable IP behind the line. The acquired Protect AI technology is specialist capability whose replication cost the cited pages do not assess, and it is counted in problem complexity rather than as a data moat. |
Prisma AIRS targets the large enterprise putting AI into production across a regulated business, the buyer Palo Alto Networks already serves with network and cloud security. The acquisition announcement names finance, government, healthcare, manufacturing, and retail as the industries driving demand, so the segmentation points at the parent's existing enterprise base rather than a separately cultivated AI-security market, though the cited pages do not establish Prisma AIRS customer overlap or deal sourcing through those accounts.
Within that base the line addresses whoever owns AI risk, from the security team screening model traffic to the platform team governing agents. Prisma AIRS 3.0 broadened the segment from teams running chat applications to teams deploying autonomous agents, a deliberate move up the adoption curve as agentic AI reaches production.
The segmentation's strength and limit are the same. Prisma AIRS targets enterprise buyers in regulated industries, and reach through existing parent accounts is unverified distribution potential rather than documented deal flow. The record shows no distinct mid-market or developer motion.
Prisma AIRS spans the AI lifecycle rather than a single control point. The documentation describes a centralized platform protecting AI applications, models, data, and agents, and press covering the Protect AI deal confirmed the combined product offers model scanning, posture management, AI red teaming, runtime protection, and agent security.
The runtime layer screens live traffic against AI-specific threats. The datasheet states the AI Runtime Security component beats back prompt injections, malicious code, toxic content, sensitive data leaks, resource overload, and hallucination attacks, operating inline between the application and the model. The May 2026 Portkey acquisition adds an AI gateway that the company positions as the core gateway routing and governing that runtime traffic. The cited pages document inline inspection and that control plane, and they describe no collection or reuse of customer prompt traffic that would turn the inline position into a shared detection advantage.
Before runtime, model scanning and AI red teaming inspect and stress-test models during development, an adversarial-AI discipline. The sources document Prisma AIRS itself rather than a direct comparison against competitor scopes, so which part of the bundle is the more differentiated stays unmeasured in the cited record.
The cited record documents where Palo Alto Networks positions the line, not how it sells it. Palo Alto Networks presents Prisma AIRS as part of its broader security platform, and no cited page describes a sales channel or account overlap that would show how Prisma AIRS deals are sourced. The parent's enterprise reach is unmeasured context for the line rather than a documented route to market.
Named demand evidence exists but is mostly vendor-hosted. The product page carries customer voices from TELUS Digital, Glean, and Moveworks, and the Protect AI completion release calls TELUS Digital an early customer and says Leidos is demonstrating safe AI acceleration for government customers with Prisma AIRS. These are testimonials and early-adopter statements published by the vendor, supplemented by a Gartner Peer Insights listing in two AI-security markets, rather than independent production case studies, so the line-specific signal is real but still early.
The growth motion shows through cadence and acquisition. Palo Alto Networks announced Prisma AIRS 3.0 in 2026 and closed both the Protect AI and Portkey acquisitions to assemble the intended platform, with the Portkey completion release saying the company will be able to deliver a natively integrated solution rather than describing that integration as finished. That pace signals investment and pull while the public references for the line stay at the testimonial and early-customer stage. The cited record does not establish a 2025 launch date for the platform.
Public pricing is not disclosed as a rate card. The product page lists token-based API licensing for the Runtime API as a February 2026 update, which points toward a consumption-shaped unit for that component rather than a per-seat charge, but Palo Alto Networks does not publish a price or a metering rate for the line.
No published price appears in the cited record, which covers the licensing unit rather than the sales terms, so how deals are structured or settled is not documented.
A consumption-shaped unit fits the buyer Palo Alto Networks sells to but raises a predictability question for others. A smaller team weighing an unpublished, consumption-shaped component faces a bill that is harder to forecast against high AI traffic.
Prisma AIRS pairs a centralized control plane with deployable runtime components, so the customer both configures policy and stands up enforcement points. The product page documents deployment profiles, a single image for AIRS, and HSF cluster deployment on KVM, while the runtime component operates inline in the production request flow, evaluating prompts and responses as AI traffic flows.
Operations target enterprise control. The platform adds posture management for continuous monitoring and an AI Runtime API that the documentation says scans prompts and model responses to identify threats programmatically and returns actionable recommendations, and the 3.0 control plane centralizes governance across applications, models, and agents from one place, with the acquired Portkey gateway positioned as that control plane.
The centralized control-plane model suggests less customer burden than a fully self-hosted screening layer would impose, while the customer still deploys and configures the runtime enforcement surfaces and concentrates governance on the control plane the platform centralizes.
Trust rests on Palo Alto Networks' standing as an established security vendor and on the depth the line acquired with Protect AI. The completion announcement framed Protect AI's technology and team as a cornerstone of Prisma AIRS, lending the line a recognized AI-security pedigree rather than a first-time entrant's.
The platform supplies the governance artifacts regulated buyers need. Model scanning and posture management produce the documentation and continuous monitoring that AI governance, risk, and compliance programs require. Palo Alto Networks' standing with enterprise procurement is context a buyer brings to the line, but the cited record documents no Prisma AIRS certification, compliance scope, or reusable procurement approval inherited from the parent.
The unresolved trust gap is at the newest edge. Agent-facing features reach back to 2025 in the release notes, which list MCP threat detection in September 2025 and AI Agent Security in November 2025, while the newest surface is the AI Agent Gateway that the March 2026 Prisma AIRS 3.0 release described as then in limited preview. Palo Alto Networks publishes safety claims for that surface without an independent benchmark in the record, so a cautious buyer is trusting the vendor's own assurances on the least-proven part of the line.
Prisma AIRS is built to be the control plane for an enterprise's AI, and the 3.0 strategy makes that explicit. With the acquired Portkey AI gateway at its core, Palo Alto Networks positions the line to monitor, govern, and protect every AI application, model, and autonomous agent across an organization from one place.
Outward, the positioning is centralization: one control plane for an organization's AI security rather than per-platform native controls. The cited pages carry that breadth claim as the vendor's own framing, and while they name specific integrations such as Microsoft Foundry, they do not document how the line compares with the cloud providers' built-in guardrails.
Inward, the line deepens reliance on Palo Alto Networks. For a customer already running Palo Alto Networks network or cloud security products, adopting Prisma AIRS as the AI control plane concentrates AI safety with that same vendor, which is the consolidation Palo Alto Networks sells and the concentration a buyer wary of single-vendor dependence weighs against it.
The line is run by Palo Alto Networks' security organization joined to an acquired specialist team. The Protect AI acquisition brought a company press described as a leader in securing AI models. Press coverage says its founders and employees were set to join Palo Alto Networks, and the confirmed executive appointment in the cited record is chief executive Ian Swanson, who the completion release says joins as vice president of product for Prisma AIRS.
That gives the line domain leadership it did not have to build. Ian Swanson and the Protect AI team carry a verifiable exit in the exact category, and Palo Alto Networks' executive Anand Oswal framed the combination as adding both depth and breadth across the AI lifecycle.
Its credibility today rests on the parent's reputation and the acquired teams' prior work rather than on a delivery record under the Prisma AIRS name.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Prisma AIRS | official | 2026-06-25 |
| f2 | AI Defense Matrix Catalog entry | other | 2026-06-13 |
| f3 | AI Defense Matrix Catalog mapping | other | 2026-06-23 |
| f4 | Palo Alto Networks Next-Generation Firewall page | official | 2026-06-12 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Prisma AIRS product page “With the integration of Portkey's AI Gateway into Prisma AIRS, we will deliver a centralized control plane to monitor, govern, and protect every AI application, model, and autonomous agent across your organization” | official | 2026-06-18 |
| s2 | Prisma AIRS documentation “Palo Alto Networks Prisma AIRS is a purpose-built, centralized, comprehensive security platform. It protects the entire AI ecosystem, including AI application, AI model, AI data protection, and AI Agent protection.” | official | 2026-06-14 |
| s3 | Prisma AIRS AI Runtime Security datasheet “Protect your LLM-powered AI apps, models and data against runtime threats with the AI Runtime Security component of the Prisma AIRS platform. Beat back prompt injections, malicious code, toxic content, sensitive data leaks, resource overload, hallucination attacks and more.” | official | 2026-06-14 |
| s4 | Palo Alto Networks Completes Acquisition of Protect AI, Jul 22 2025 “Palo Alto Networks today announced it has completed its acquisition of Protect AI, an innovative leader in securing Artificial Intelligence (AI) applications and models.” | official | 2026-06-18 |
| s5 | Network World: Palo Alto Networks to buy Protect AI, strengthen AI security platform “analysts from investment banking and capital markets firm Jeffries reportedly estimated Palo Alto Networks will spend between $650 million to $700 million to acquire Protect AI and its platform for securing AI and machine learning models and applications” | press | 2026-06-14 |
| s6 | Palo Alto Networks Secures Agentic AI with Prisma AIRS 3.0, Mar 23 2026 “Prisma AIRS 3.0 secures the entire Agentic AI lifecycle, enabling enterprises to move from simply observing AI interactions to safely authorizing autonomous execution.” | official | 2026-06-14 |
| s7 | Gartner Peer Insights: Prisma AIRS Reviews and Ratings 2026 “Market Presence: AI Security Testing, AI Security and Anomaly Detection” | other | 2026-06-14 |
| s8 | GovCon Wire: Palo Alto Networks Finalizes Protect AI Acquisition “Prisma AIRS will be capable of providing comprehensive protection, including model scanning, posture management, AI red teaming, runtime protection and AI agent security. Swanson will assume the role of vice president of product for Prisma AIRS.” | press | 2026-06-14 |
| s9 | Prisma AIRS product page: Hear What Our Customers Have to Say “Hear What Our Customers Have to Say. Steve Jablonski CISO, TELUS Digital. Sunil Agrawal CISO, Glean. A product like Prisma AIRS is not just good for Moveworks. It's absolutely essential for the industry. Varun Singh President & Founder, Moveworks.” | official | 2026-06-18 |
| s10 | Palo Alto Networks Completes Acquisition of Protect AI: early-customer references “As an early customer of Prisma AIRS, Steve Jablonski, CISO, TELUS Digital, shares what we are excited about with Prisma AIRS. As one of the early adopters, Leidos is proud to help the most advanced government and industry users build, deploy, and manage secure AI systems.” | official | 2026-06-18 |
| s11 | Palo Alto Networks: Completes Acquisition of Portkey to Secure AI Agents, May 29 2026 “today announced it has closed the acquisition of Portkey, a pioneer in AI Gateways... By establishing Portkey as the core AI Gateway for Prisma AIRS, the comprehensive AI security platform, Palo Alto Networks will be able to deliver a solution that natively integrates AI Runtime Security.” | official | 2026-06-18 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Prisma AIRS product page “With the integration of Portkey's AI Gateway into Prisma AIRS, we will deliver a centralized control plane to monitor, govern, and protect every AI application, model, and autonomous agent across your organization” | official | 2026-06-18 |
| s2 | Prisma AIRS documentation “Palo Alto Networks Prisma AIRS is a purpose-built, centralized, comprehensive security platform. It protects the entire AI ecosystem, including AI application, AI model, AI data protection, and AI Agent protection.” | official | 2026-06-18 |
| s3 | Prisma AIRS AI Runtime Security datasheet “Protect your LLM-powered AI apps, models and data against runtime threats with the AI Runtime Security component of the Prisma AIRS platform. Beat back prompt injections, malicious code, toxic content, sensitive data leaks, resource overload, hallucination attacks and more.” | official | 2026-06-14 |
| s4 | Palo Alto Networks: Completes Acquisition of Protect AI, Jul 22 2025 “The integration of Protect AI's forward-thinking technology and its team of experts will be a cornerstone of Palo Alto Networks' Prisma AIRS, the industry's most comprehensive AI security platform.” | official | 2026-06-18 |
| s5 | Network World: Palo Alto Networks to buy Protect AI, strengthen AI security platform “analysts from investment banking and capital markets firm Jeffries reportedly estimated Palo Alto Networks will spend between $650 million to $700 million to acquire Protect AI and its platform for securing AI and machine learning models and applications” | press | 2026-06-14 |
| s6 | Palo Alto Networks: Secures Agentic AI with Prisma AIRS 3.0, Mar 23 2026 “Prisma AIRS 3.0 secures the entire Agentic AI lifecycle, enabling enterprises to move from simply observing AI interactions to safely authorizing autonomous execution.” | official | 2026-06-18 |
| s7 | Gartner Peer Insights: Prisma AIRS Reviews and Ratings 2026 “Market Presence: AI Security Testing, AI Security and Anomaly Detection” | other | 2026-06-14 |
| s8 | GovCon Wire: Palo Alto Networks Finalizes Protect AI Acquisition “Prisma AIRS will be capable of providing comprehensive protection, including model scanning, posture management, AI red teaming, runtime protection and AI agent security. Swanson will assume the role of vice president of product for Prisma AIRS.” | press | 2026-06-14 |
| s9 | Prisma AIRS product page: Hear What Our Customers Have to Say “Hear What Our Customers Have to Say. Steve Jablonski CISO, TELUS Digital. Sunil Agrawal CISO, Glean. A product like Prisma AIRS is not just good for Moveworks. It's absolutely essential for the industry. Varun Singh President & Founder, Moveworks.” | official | 2026-06-18 |
| s10 | Palo Alto Networks: Completes Acquisition of Protect AI, early-customer references “As an early customer of Prisma AIRS, Steve Jablonski, CISO, TELUS Digital, shares... Innovation and technology leader Leidos, a strategic partner to both companies, is already demonstrating safe AI acceleration for government customers with Prisma AIRS.” | official | 2026-06-18 |
| s11 | Palo Alto Networks: Completes Acquisition of Portkey to Secure AI Agents, May 29 2026 “today announced it has closed the acquisition of Portkey, a pioneer in AI Gateways... By establishing Portkey as the core AI Gateway for Prisma AIRS, the comprehensive AI security platform, Palo Alto Networks will be able to deliver a solution that natively integrates AI Runtime Security.” | official | 2026-06-18 |
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The analyses are statements of opinion, not statements of fact. Machine analysis produced the scores, summaries, and matrix placements by weighing the public sources each page cites, and reasonable people can weigh the same sources differently. Where a page states a fact, it cites the public source and the date it was checked, and the statement is only as accurate as that source. Unless a profile expressly says otherwise, the analysis involves no hands-on testing and no independent validation of any company's products or services.
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