Can Prisma AIRS replace DeepInspect?

Prisma AIRS cannot replace DeepInspect for identity-bound enforcement or signed audit records. Its classifiers score the content of a request. They do not bind a decision to an authenticated person or agent's identity, and the resulting log reflects what a classifier flagged rather than who was authorized to make the call. A compliance program that needs to show a regulator which employee or service account accessed a given model, under what policy, on a signed per-decision record, needs a layer that carries identity through. Prisma AIRS's content-threat detection is a genuinely useful control for its own purpose, built to catch injection payloads and leaked data patterns. Answering an access-control question was never part of that design.

Can DeepInspect replace Prisma AIRS?

DeepInspect does not replace Prisma AIRS for content-level threat classification. DeepInspect evaluates identity and policy on each request. It runs no classifier that scores prompt or response text for injection signatures, toxic language, or malicious code patterns, because that is a different mechanism built on a different kind of model. A team that needs an automated read on whether a prompt's wording matches a known attack pattern, or whether a response reads like malware, still needs a content-inspection layer for that job. DeepInspect's audit record shows that a request was authorized and by whom. It will not tell a security team that the request's text contained a jailbreak attempt. Programs that need both jobs done typically run DeepInspect for identity and evidence and a content classifier for pattern detection.

Enterprises with a regulatory audit obligation and a content-threat concern typically end up running both. Prisma AIRS catches attack patterns in the words of a prompt or response: injection payloads, leaked account numbers, a response that reads like generated malware. DeepInspect catches unauthorized access: a caller without the right role reaching a model that returns regulated data, with a signed record proving the decision. Running only the classifier leaves the access-control question open. A bank running claims-processing models under state insurance regulation plausibly wants both: a content filter on what gets typed into the prompt, and a proxy that proves which underwriter's credentials touched which customer's file.

Does Prisma AIRS produce audit records for regulatory compliance?

Prisma AIRS logs classifier hits: which category triggered (injection, data leakage, toxic content), the content that tripped it, and the resulting block or allow decision, inside the Palo Alto platform's own console. That log is useful for a security team tuning classifier thresholds or investigating an incident. It was not built to the shape a regulator asks for under EU AI Act Article 12, which calls for automatic recording of events sufficient to establish traceability, or Article 19, which requires records identifying the natural persons involved. The logs do not carry an authenticated-identity field as a first-class part of the classifier decision, so building an Article 19 record series on top of them means wiring identity through some other system. DeepInspect's audit record carries identity, policy version, and classification on every decision by default.

Is DeepInspect a firewall?

DeepInspect is a proxy, not a network firewall. It does not inspect packet-level network traffic or sit behind firewall hardware the way Prisma AIRS's Network Intercept mode does. DeepInspect terminates the HTTP connection between an authenticated caller and an LLM API, evaluates identity and policy on the request, and forwards, redacts, or blocks it before it reaches the model. The distinction matters for deployment: a firewall-based approach ties AI traffic inspection to a specific vendor's network appliance, while a proxy placed at the application layer works the same way regardless of which cloud, data center, or network hardware sits underneath it.

Does DeepInspect detect prompt injection?

DeepInspect runs no content classifier trained to recognize prompt injection language patterns, and it does not claim to. Its job is identity-based policy enforcement: deciding whether an authenticated caller's role and the request's data classification permit the call to proceed, and recording that decision. Prompt injection detection is a content-inspection problem, the category Prisma AIRS's classifiers are built to address. A security architecture that wants both jobs covered typically places a content classifier ahead of or alongside DeepInspect's identity check, so the request passes through pattern detection and authorization enforcement rather than either one alone.

How do Prisma AIRS and DeepInspect integrate together technically?

The two operate at compatible but distinct points in the request path. Prisma AIRS's Network Intercept mode inspects traffic at the network layer, while its API Intercept mode calls out from application code via SDK. DeepInspect sits as an HTTP proxy at the AI request boundary, independent of the network hardware or SDK instrumentation underneath it. A deployment that wants both typically routes application traffic through DeepInspect for identity and policy enforcement first, with Prisma AIRS's content classifiers running either upstream in the network path or embedded in the calling application through its own SDK. Neither vendor requires the other's presence to function, which is why the two show up on the same shortlist without competing for the same budget line.

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August 23, 2026

DeepInspect vs Palo Alto Networks AI Runtime Security: Identity Enforcement vs Content Threat Detection

Prisma AIRS inspects the content of prompts and responses for threats like injection payloads and data leakage, using classifiers deployed inline at the network or API layer. DeepInspect evaluates the identity and authorization of the caller on every request and produces a signed audit record of that decision. Teams evaluating a Prisma AIRS alternative for identity-bound access control need to know these run on different mechanisms, not competing products.

ByParminder Singh· Founder & CEO, DeepInspect Inc.

Comparisons & Alternativesai-securityllm-securityprompt-injectionpolicy-enforcementforensic-auditidentity-and-authorization

DeepInspect vs Palo Alto Networks AI Runtime Security: Identity Enforcement vs Content Threat Detection

A platform security engineer I spoke with in June had Palo Alto Networks' Prisma AIRS running in Network Intercept mode in front of four internal chatbots built on Azure OpenAI. The weekly report showed a steady climb in blocked prompt injection attempts and a handful of caught sensitive-data patterns in employee prompts. Then an outside auditor building the company's EU AI Act file asked a narrower question: which employee's credentials authorized the request that pulled a specific customer's claims history through the underwriting model at 4:47 p.m. the previous Thursday, and where is the signed record proving that authorization. The firewall logs showed the request had passed inspection. There was no field for who was allowed to make it.

Prisma AIRS and DeepInspect get named in the same AI security shortlists because both inspect traffic moving between a caller and a large language model. The overlap ends there. Prisma AIRS asks whether the content of a prompt or a response matches a known attack pattern. DeepInspect asks whether the specific caller behind that request had authorization to make it, then writes down a signed answer.

TL;DR

The core distinction is where the inspection happens:

Prisma AIRS inspects prompt and response CONTENT for threats: injection patterns, sensitive-data leakage, malicious or unsafe output, using classifiers deployed inline at the network layer or embedded via API and SDK calls.
DeepInspect evaluates the IDENTITY of the caller against policy on every request and produces a signed audit record of that authorization decision, regardless of what the prompt text says.
Prisma AIRS has no mechanism to bind a decision to an authenticated person or agent and prove it later. DeepInspect runs no content classifier for prompt injection signatures.
Regulated enterprises building a compliance file commonly run both: Prisma AIRS as the content-threat filter, DeepInspect as the identity and audit layer.

Prisma AIRS

Prisma AIRS is Palo Alto Networks' AI Runtime Security product, built to protect AI applications and agents in real time by detecting and blocking AI-specific threats that traditional security tools miss. The product ships two intercept modes. Network Intercept routes traffic between an AI application and an LLM behind a Palo Alto firewall. API Intercept embeds the same inspection as Security-as-Code inside the application, called through an SDK before and after the model call.

Both modes run the same classifiers. The AI security profile scores prompt and response content against categories Palo Alto documents directly: prompt injection, sensitive data leakage such as bank account numbers, credit card numbers, and API keys, malicious URLs, and unsafe or toxic model output. A 2026 update added Multi-Category Toxicity Detection, splitting toxic-content scoring into eight sub-categories, and native integrations now reach Microsoft Foundry, OpenAI Codex Enterprise, and Anthropic's Inference Hooks. AI Discovery, run through Cortex AISPM, inventories the models, datasets, and agents running across a customer's AWS, Azure, and GCP accounts.

The operating question Prisma AIRS answers is whether the words inside a request or a response match a known bad pattern. That is a real and growing category of risk. It is a different question from whether the person or agent who sent those words was allowed to send them, because content scoring, by design, does not carry an identity claim through to the decision record.

The identity enforcement proxy

DeepInspect is a stateless proxy sitting inline between authenticated users or agents and any LLM. Every HTTP request to a model API passes through it before the model sees it, and every response passes through it before the caller sees it.

The evaluation runs per request, not against the wording of the payload. DeepInspect reads the identity context the calling application supplies, the role that identity carries, and the policy decision point governing that combination of identity, resource, and data classification, then issues a pass, redact, or block decision before the traffic reaches the model. The proxy is model-agnostic: it works in front of OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or a self-hosted endpoint, because it operates on the HTTP layer rather than inside one provider's SDK or a network appliance tied to a single firewall vendor. This is the same inline enforcement pattern I argued for in 22-Second Breach Windows Mean Your AI Enforcement Must Be Inline. Google Mandiant's M-Trends 2026 report found the median handoff time from initial access to a secondary threat group collapsed to 22 seconds. A decision that depends on a nightly log review arrives well after that window closes.

Every decision produces a signed, tamper-evident audit record: identity, policy version, data classification, outcome, timestamp. The record commits before the response reaches the calling application, which keeps the evidence outside the calling application's own custody and outside any one appliance's log retention window. That write-path independence is the property an auditor actually asks to see, and it has nothing to do with whether the prompt text itself looked dangerous.

Feature comparison

Here's how the products differ across eight key dimensions:

What it inspects: Prisma AIRS inspects the content of prompts and responses for threat patterns (injection, data leakage, toxic or malicious output). DeepInspect inspects the identity and authorization of the caller making the request.
When it acts: Prisma AIRS scores content as it crosses the network or the API call, using classifiers tuned to catch known attack signatures. DeepInspect evaluates policy on every request before it reaches the model, independent of what the payload contains.
Enforcement capability: Prisma AIRS blocks or flags requests whose content trips a classifier threshold. DeepInspect blocks, redacts, or passes a request based on whether the caller's authenticated role and policy state permit it.
Identity awareness: Prisma AIRS's classifiers score content; identity context is not part of that scoring decision. DeepInspect binds every decision to the authenticated caller's identity and role.
Audit output: Prisma AIRS logs classifier hits and blocked content categories inside the Palo Alto platform's own console. DeepInspect produces signed, per-decision audit records built for regulatory disclosure, independent of any single vendor's log retention policy.
Deployment surface: Prisma AIRS deploys as Network Intercept behind a firewall or as API Intercept embedded via SDK inside application code. DeepInspect deploys as an HTTP proxy at the request boundary, independent of any firewall appliance or SDK instrumentation.
Primary buyer: Prisma AIRS is typically bought by security teams already standardized on Palo Alto's platform who need content-threat coverage on AI traffic. DeepInspect is typically bought by security, compliance, or platform teams that own access control and audit obligations.
Failure mode on error: Prisma AIRS's documented behavior centers on flagging and blocking content that matches a classifier signature. DeepInspect can fail closed, denying the request by default when policy evaluation is ambiguous or unavailable.

Pick Prisma AIRS if...

Choose Prisma AIRS if any of these scenarios match your situation:

Your risk model centers on the content of prompts and responses: injection payloads, leaked credentials pasted into a chat window, or a model asked to generate malicious code or a phishing template.
Your security team already runs Palo Alto's firewalls and wants AI traffic inspection on the same platform, under the same consoles, rather than a new vendor relationship.
You need toxicity or unsafe-output scoring on model responses, including the eight-category toxicity breakdown Palo Alto shipped this year.
Your AI applications sit inside AWS, Azure, or GCP accounts you want inventoried and mapped through Cortex AISPM before deciding what else needs coverage.

Pick DeepInspect if...

Choose DeepInspect if any of these scenarios match your situation:

You need per-request, identity-bound enforcement that answers who made a specific call, not just what the call contained.
A regulator, auditor, or internal security review team can ask who accessed a given dataset through the model, under what policy, and you need a signed answer rather than a firewall log.
You are working toward the EU AI Act's Article 12 logging deadline, which took effect August 2, 2026, and your evidence has to exist independent of the calling application or the network appliance in front of it.
You need the same enforcement behavior in front of every LLM endpoint in the company, regardless of which team wired in a firewall rule or an SDK call correctly that week.

Teams that end up running both layers rarely started that way on purpose. The firewall or the SDK classifier usually arrives first, because a security team already owns Palo Alto infrastructure and wants AI traffic covered under the same console. The identity question shows up later, when a compliance lead or an outside auditor asks for a record the classifier was never built to produce. Watching a compliance lead scroll through a Panorama dashboard hunting for a username field that was never part of the schema, while an auditor waits on a video call, is an avoidable and slightly awkward way to lose an afternoon.

DeepInspect

This is the identity gap Prisma AIRS's content classifiers were never built to close. Prisma AIRS can flag a prompt carrying a credit card number or block a response that reads like malware, but the record that results tells you what was said, not who was authorized to say it, and a classifier hit has no mechanism to bind itself to a specific employee's badge or an agent's service identity.

DeepInspect sits at the AI request boundary as a model-agnostic proxy, evaluating identity, role, and data classification on every request and producing a signed audit record for every decision. It runs alongside a content-threat layer rather than replacing it: Prisma AIRS answers whether the words in a request look dangerous, DeepInspect answers who was allowed to send them and proves the answer months later. The same distinction applies to model-side safety training, which I covered in Model Guardrails Are Not a Security Control: a classifier scoring content inside the request path is not the same thing as a deterministic, externally auditable decision bound to an identity.

If you are facing the August deadline, let's talk.

Frequently asked questions

How is DeepInspect different from Prisma AIRS?: Prisma AIRS inspects the content of a prompt or a model's response for threat patterns using classifiers: injection signatures, sensitive-data leakage, malicious or unsafe output. DeepInspect inspects the caller instead. It evaluates the identity and authorization behind a request against policy, then issues a pass, redact, or block decision and commits a signed record before the response reaches the calling application. Prisma AIRS deploys as a network intercept behind a firewall or as an SDK embedded in application code. DeepInspect deploys as a stateless HTTP proxy at the request boundary, independent of any one firewall vendor or SDK integration. A security program building toward an audit obligation typically needs a signed answer to who made the call, which is the gap DeepInspect fills.
Can Prisma AIRS replace DeepInspect?: Prisma AIRS cannot replace DeepInspect for identity-bound enforcement or signed audit records. Its classifiers score the content of a request. They do not bind a decision to an authenticated person or agent's identity, and the resulting log reflects what a classifier flagged rather than who was authorized to make the call. A compliance program that needs to show a regulator which employee or service account accessed a given model, under what policy, on a signed per-decision record, needs a layer that carries identity through. Prisma AIRS's content-threat detection is a genuinely useful control for its own purpose, built to catch injection payloads and leaked data patterns. Answering an access-control question was never part of that design.
Can DeepInspect replace Prisma AIRS?: DeepInspect does not replace Prisma AIRS for content-level threat classification. DeepInspect evaluates identity and policy on each request. It runs no classifier that scores prompt or response text for injection signatures, toxic language, or malicious code patterns, because that is a different mechanism built on a different kind of model. A team that needs an automated read on whether a prompt's wording matches a known attack pattern, or whether a response reads like malware, still needs a content-inspection layer for that job. DeepInspect's audit record shows that a request was authorized and by whom. It will not tell a security team that the request's text contained a jailbreak attempt. Programs that need both jobs done typically run DeepInspect for identity and evidence and a content classifier for pattern detection.
Do we need both?: Enterprises with a regulatory audit obligation and a content-threat concern typically end up running both. Prisma AIRS catches attack patterns in the words of a prompt or response: injection payloads, leaked account numbers, a response that reads like generated malware. DeepInspect catches unauthorized access: a caller without the right role reaching a model that returns regulated data, with a signed record proving the decision. Running only the classifier leaves the access-control question open. A bank running claims-processing models under state insurance regulation plausibly wants both: a content filter on what gets typed into the prompt, and a proxy that proves which underwriter's credentials touched which customer's file.
Does Prisma AIRS produce audit records for regulatory compliance?: Prisma AIRS logs classifier hits: which category triggered (injection, data leakage, toxic content), the content that tripped it, and the resulting block or allow decision, inside the Palo Alto platform's own console. That log is useful for a security team tuning classifier thresholds or investigating an incident. It was not built to the shape a regulator asks for under EU AI Act Article 12, which calls for automatic recording of events sufficient to establish traceability, or Article 19, which requires records identifying the natural persons involved. The logs do not carry an authenticated-identity field as a first-class part of the classifier decision, so building an Article 19 record series on top of them means wiring identity through some other system. DeepInspect's audit record carries identity, policy version, and classification on every decision by default.
Is DeepInspect a firewall?: DeepInspect is a proxy, not a network firewall. It does not inspect packet-level network traffic or sit behind firewall hardware the way Prisma AIRS's Network Intercept mode does. DeepInspect terminates the HTTP connection between an authenticated caller and an LLM API, evaluates identity and policy on the request, and forwards, redacts, or blocks it before it reaches the model. The distinction matters for deployment: a firewall-based approach ties AI traffic inspection to a specific vendor's network appliance, while a proxy placed at the application layer works the same way regardless of which cloud, data center, or network hardware sits underneath it.
Does DeepInspect detect prompt injection?: DeepInspect runs no content classifier trained to recognize prompt injection language patterns, and it does not claim to. Its job is identity-based policy enforcement: deciding whether an authenticated caller's role and the request's data classification permit the call to proceed, and recording that decision. Prompt injection detection is a content-inspection problem, the category Prisma AIRS's classifiers are built to address. A security architecture that wants both jobs covered typically places a content classifier ahead of or alongside DeepInspect's identity check, so the request passes through pattern detection and authorization enforcement rather than either one alone.
How do Prisma AIRS and DeepInspect integrate together technically?: The two operate at compatible but distinct points in the request path. Prisma AIRS's Network Intercept mode inspects traffic at the network layer, while its API Intercept mode calls out from application code via SDK. DeepInspect sits as an HTTP proxy at the AI request boundary, independent of the network hardware or SDK instrumentation underneath it. A deployment that wants both typically routes application traffic through DeepInspect for identity and policy enforcement first, with Prisma AIRS's content classifiers running either upstream in the network path or embedded in the calling application through its own SDK. Neither vendor requires the other's presence to function, which is why the two show up on the same shortlist without competing for the same budget line.

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