Technology Comparison

Cequence AI Gateway vs.
Palo Alto Networks Prisma AIRS

Cequence AI Gateway and Palo Alto Networks Prisma AIRS both appear in enterprise evaluations of agentic AI security. They are not competing for the same layer. Prisma AIRS secures the AI lifecycle: discovering agents, scanning models, red-teaming deployments, and monitoring runtime threats. Cequence AI Gateway secures the boundary between AI agents and your enterprise applications and data.
This document explains where each fits and which risks each addresses.

The Core Distinction

Cequence AI Gateway Prisma AIRS 3.0
What it controls What AI agents are allowed to do with your enterprise applications and data. What AI agents and models are running in your environment and whether they are secure.
Where it sits Between AI agents and your backend services (APIs, SaaS apps, databases, legacy systems). Across the AI lifecycle: discovery, posture, model security, runtime monitoring.
Boundary Agent-to-application AI model and agent layer.
“Prisma AIRS tells you what AI is running and whether it has vulnerabilities. Cequence tells you what AI is doing with your data and whether it should be.”

Which Problem Are You Actually Solving?

Scenario A: Using standard AI platforms and autonomous agents with standard models (most enterprises).
Using standard AI platforms and autonomous agents with standard models (most enterprises). Your teams use Claude Code, Claude Desktop, ChatGPT Enterprise, or Copilot with standard models from Anthropic, OpenAI, or Microsoft. Your developers run autonomous coding agents like Claude Code against production repositories for hours at a time. Your operations teams deploy Copilot agents that interact with internal systems autonomously. You are not building custom models. The agents are autonomous, but the models are off the shelf. You need to govern what these agents do with your enterprise applications and data. This is Cequence’s primary scenario. Model scanning, red teaming, and AI posture management are largely irrelevant when you are consuming standard models. The risk is not the model. The risk is what the agent does with your data.
 
With AI Discovery, API Registry, LLM Registry, and Skill Registry, Cequence governs and surfaces activity across all three channels an agent uses — MCP, direct API calls, and direct LLM calls — under one Agent Persona and one audit trail, an approach Cequence calls Agentic Zero Trust.
 
Scenario B: Building your own AI.
Building your own AI. Your organization trains custom models, fine-tunes foundation models, deploys them in your own cloud environments, and builds custom agent frameworks. You need to scan models for vulnerabilities, red-team agent behavior, discover shadow AI, and manage agent posture. This is Prisma AIRS’s primary scenario.

Scenario C: Both.
You consume standard AI platforms for productivity and build custom models for domain-specific use cases. You need Prisma AIRS for the custom model pipeline and Cequence for governing what all agents do with your enterprise applications.

Most Global 2000 enterprises are in Scenario A today. They’re buying AI, not building it, and their exposure lives in what their agents do with the data, not in the model underneath.

When to Use Each Technology

When to Use Each Technology

Your AI agents need governed access to enterprise applications and data, and you need to control what they do at the tool-call level.
 
Scenario 1: Making Private APIs Agent-Ready
Your enterprise has hundreds of internal APIs behind the firewall with no public MCP server. Cequence converts any private API into a governed MCP tool with no code changes. Specs can be imported directly from the Cequence application protection platform, so there is no need to manage specs separately. Ships prebuilt tools for common enterprise apps. New tools in under a week.
 
Scenario 2: Agent Job Descriptions (Personas)
Your agents have access to 18 enterprise tools, but each agent’s job only requires two or three. Cequence Agent Personas scope each agent to the intersection of user permissions and allowed tools. The other tools are invisible. Prisma AIRS assigns agent identities but does not define purpose-scoped tool visibility.
 
Scenario 3: Behavioral Forensics on Agent Sessions
An autonomous agent runs for 47 hours making thousands of tool calls. You need to understand what it did, where it got stuck, and how to improve it. Cequence reconstructs the full sequential trail.
 
Scenario 4: Protecting APIs When Agents Bypass MCP
Agents write code at runtime to call APIs directly. Cequence protects APIs regardless of how the request arrives, built on 10+ years and 10 billion+ daily interactions.
 
Scenario 5: Sensitive Data Detection and DLP
Real-time inspection of MCP tool call payloads (requests and responses) with compliance-mapped detection. Block, redact, or alert. Native to Cequence, no separate module. Prisma AIRS requires Prisma SASE (separate product) for equivalent DLP.

Use Prisma AIRS When:

Your security team needs to discover, assess, and monitor all AI agents and models running across your environment.
 
Scenario 1: Shadow AI Discovery
You don’t know what AI is running across cloud, SaaS, and endpoints. Prisma AIRS discovers and inventories all AI activity, including unsanctioned systems.
Cequence AI Discovery covers part of this ground as well, surfacing shadow agents, shadow LLM usage, and shadow MCP servers from existing SIEM logs.
 
Scenario 2: Model Security
You need to scan AI models for vulnerabilities, backdoors, and deserialization threats before production.
 
Scenario 3: Agent Red Teaming
You need to simulate adversarial attacks. Prisma AIRS provides 500+ automated attacks including tool misuse and multi-agent coordination failures.
 
Scenario 4: Agent Posture Management
Continuous risk assessment across 12 SaaS and cloud platforms. Detects misconfigurations, shared credentials, and over-permissive identities.
 
Scenario 5: Runtime Threat Detection
Inline protection against prompt injection, malicious URLs, and model denial-of-service via AI Runtime Firewall and AI Runtime API.

When You Need Both

Prisma AIRS secures the AI layer: discover, scan, red-team, monitor. Cequence secures the application and data layer: govern, convert, scope, inspect for sensitive data, forensics. One secures AI. The other secures what AI does with your enterprise.

Detailed Capability Comparison

Capability Cequence AI Gateway Prisma AIRS 3.0
Primary function Governed connection between agents and enterprise apps/data via MCP and API. AI security posture, discovery, model security, and runtime monitoring.
AI/agent discovery AI Discovery surfaces every agent, LLM provider, and MCP server running across the enterprise, pulled from existing SIEM logs, whether or not it went through an official process, in addition to discovering APIs. Discovers all AI agents, models, connections across cloud/SaaS/endpoints including shadow AI.
Private API to MCP Prebuilt tools. No-code private API to MCP. Import specs from application protection platform. New tools in under a week. No. Scans existing MCP servers but does not create them.
Enterprise MCP registry Centralized trusted registry. Register, catalog, govern all MCP servers. No shadow MCP. No agent-discovered endpoints. No centralized MCP registry. Discovers and scans but does not provide a governed registry.
API registry Brokers API credentials so agents never hold them directly. Every call runs through the same policy-enforced identity as MCP and LLM traffic. No. Prisma AIRS secures the model and agent layer; API credential brokering isn't in scope.
Skills registry Curated, vetted, reusable agent capabilities that security and platform teams approve once and reuse across every agent. No equivalent.
Agent Personas Per-user, per-tool, and per-model scoping. Job descriptions for agents that bind tools, APIs, skills, and approved model to one policy-enforced identity. Always a reduction, never an expansion. No. Agent identity with permissions but no purpose-scoped tool governance.
Model security No. Different layer. Model scanning, vulnerability detection, backdoor protection, pre-deployment validation.
Red teaming No. Different layer. 500+ automated attacks. Multi-agent adversarial simulation.
Behavioral detection Sequential tool call forensics. Reconstructs full agent behavioral trail. 10+ years of API attack data. Runtime threat detection: prompt injection, tool misuse, memory manipulation.
Prompt injection protection Prompt Guard detects prompt injection, jailbreak attempts, and system-prompt extraction on every LLM prompt and response, tied to the same Agent Persona and audit trail that governs MCP and API traffic. Yes. AI Runtime Firewall and AI Runtime API provide inline protection against prompt injection, malicious URLs, and denial-of-service.
Sensitive data / DLP Native. Real-time inspection across MCP tool calls, API requests, and LLM prompts and responses, including Prompt Guard and base64/evasion-character detection. Block, redact, alert. No separate module. Requires Prisma SASE (separate product, separate deployment). Not native to AIRS.
Channels protected AI model, agent, prompt, and API layers. AI model, agent, and prompt layer.
Data plane In customer environment or SaaS. Data does not leave customer environment. Cloud-delivered (Strata Cloud Manager).
AI Agent Gateway GA. Production-deployed at Fortune/Global 500. Limited preview (March 2026).
Vendor ecosystem Platform-independent. Any AI platform. Strongest within Palo Alto ecosystem (SASE, Cortex, Strata).

Security Considerations

Agent Identity vs. Agent Purpose

Prisma AIRS assigns non-human identities to agents with permissions and traceability. Cequence Agent Personas go further: they define what the agent’s job is and make unauthorized tools invisible. A coerced agent that can only see two read-only tools cannot exfiltrate data from the other 16.

Prompt Injection: Detection vs. Containment

The “Agents of Chaos” study (MIT/Harvard/Stanford/CMU) compromised all six test agents via social engineering. DeepMind achieved 86% attack success rates. Prisma AIRS detects prompt injection at runtime. Cequence ensures a coerced agent can only see the tools its Persona permits. When detection fails, containment prevents material harm.

Application-Layer Protection

Agents bypass MCP by writing code to call APIs directly. Prisma AIRS protects the AI layer. Cequence protects the application and API layer, built on a decade of securing APIs at scale.

Agentic Discovery

AI Discovery surfaces every agent, LLM provider, and MCP server running across the enterprise from existing SIEM logs, whether or not it went through an official process, in addition to discovering APIs.

Case Study: When an Agent Goes Rogue to Get the Job Done

The Agents of Chaos study showed agents destroying infrastructure and leaking data in a lab. Here is what it looks like in production.

Environment

Prisma AIRS assigns non-human identities to agents with permissions and traceability. Cequence Agent Personas go further: they define what the agent’s job is and make unauthorized tools invisible. A coerced agent that can only see two read-only tools cannot exfiltrate data from the other 16.

What actually happened

The agent got stuck and got creative. It guessed 162 filenames based on build conventions without checking a directory listing first. None existed. It hallucinated the tail end of 40-character commit hashes, mutating them repeatedly over 71-second loops before giving up and re-reading source data. It re-probed the same wrong paths across sessions spanning 27 hours because it has no memory between sessions.
This is not a malicious agent. It is a determined one. And determination without guardrails is the failure mode the research warns about.

What Cequence did

Reconstructed the full behavioral trail. Identified six error clusters. Produced targeted recommendations, all prompt-level changes, zero infrastructure work. Projected error reduction from 212 to under 20 per 48-hour window.
Prisma AIRS would flag known attack patterns. It would not reconstruct the sequential behavioral trail of an agent that is guessing, hallucinating, and repeating mistakes across sessions.

Summary

Prisma AIRS is a strong AI security platform from a credible vendor. It excels at discovering what AI is running in your environment, scanning models for vulnerabilities, red-teaming agents before deployment, and detecting runtime threats. For organizations building custom models and managing their own AI infrastructure, it is purpose-built for that lifecycle.
 
Most enterprises are not in that scenario. They are using Claude Code, ChatGPT Enterprise, and Copilot with standard models from established vendors, where the real question is what their agents are doing with enterprise applications and data, whether those agents are operating within their job description, and whether they can prove it to auditors.
 
That’s the problem Cequence AI Gateway addresses: it converts private APIs into governed MCP tools, enforces Agent Personas that scope each agent to its specific purpose, provides behavioral forensics that reconstruct what agents actually did across thousands of tool calls, and detects sensitive data in MCP payloads natively without requiring a separate product. It discovers shadow agents and shadow LLM usage via AI Discovery, brokers API and LLM credentials through API Registry and LLM Registry so agents never hold them directly, and enforces Prompt Guard and DLP on every LLM prompt and response. Its AI Agent Gateway is GA and production-deployed at Fortune/Global 500 enterprises. Prisma AIRS 3.0’s AI Agent Gateway remains in limited preview.
 
These products can coexist. Prisma AIRS secures the AI layer. Cequence secures what AI does with your enterprise.