Aurascape vs Palo Alto Networks

Aurascape is an AI-native security platform that governs AI usage at the interaction and action layers; Palo Alto Networks delivers AI security as a layer across its SaaS-era platform. The key difference is depth of visibility and control for CISOs and enterprise security teams.

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Compare the Aurascape AI Security Platform to Palo Alto Networks

Palo Alto Networks and Aurascape take different approaches to AI security. Here are the key differences that matter for enterprise buyers, CISOs, and Fortune 500 security teams.

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Aurascape

Palo Alto Networks

AI app discovery and coverage
Aurascape
Tens of thousands of AI apps discovered and kept up-to-date automatically via Aurascape's patented AI discovery agent. 48-hour SLA for new app support. Risk attributes are dynamic and AI-aware (risk scoring, entitlement, tool lists, intent and more), not static SaaS-era categories. 

Palo Alto Networks

AI app discovery and inventorying is largely manual. This results in slower speed-to-support new AI apps. Risk attributes carry over from SaaS-era frameworks, with limited AI-specific awareness.
Depth of decoding
Aurascape
Deep decoders classify AI app intent to understand the capability being invoked, across prompts, responses, and tool calls. Full bidirectional conversational context preserved end-to-end. Comprehensive coverage for new AI applications via native decoding across modern communication protocols. 

Palo Alto Networks

Decoding is HTTP/HTTPS-centric; modern protocols may not be supported, limiting visibility and control for AI usage.
Embedded AI in SaaS apps and websites
Aurascape
Native visibility and decoding of AI features embedded inside business applications, SaaS workflows, and trusted websites. Policy applies per-action on intent, identity, and behavior, not just access to the parent app. 

Palo Alto Networks

Prisma Browser adds visibility into embedded AI accessed via the browser. Visibility is reliant on depth of decoding of AI features.
AI in desktop clients, CLI, IDEs
Aurascape
Consistent and granular inline policy at the AI interaction and action layers for desktop AI clients, CLI tools, and AI within IDEs. 

Palo Alto Networks

Policy granularity for endpoint AI activity is dependent on pre-AI data and threat engines.
Policy precision
Aurascape
Context-aware policy weighs identity, entitlement, auth type, app intentions, tool usage, data sensitivity, and threat detection. Enforcement actions include block, redact, warn, require confirmation, all with customizable and intuitive end-user coaching across surfaces.

Palo Alto Networks

Underlying inspection engines limit policy to URL-based app identification and traditional DLP. User coaching is limited. 
Prompt & response visibility
Aurascape
Full bidirectional conversation visibility for prompts, responses, and agent actions, preserved end-to-end with customizable RBAC for admins, all in one reporting plane across AI surfaces. 

Palo Alto Networks

AI Access Security and Prisma Browser inspect prompts and apply data classification, but without end-to-end bidirectional conversational history. 

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Why Customers Choose Aurascape Over Palo Alto Networks

A comparison across key enterprise AI security dimensions for CISOs and security architects. 

Aurascape approach

Palo Alto Networks

How AI security is built 

Built for AI as one interaction layer 

Granular policy lets you govern AI interactions: prompts, responses, actions, and agent behavior, across all enterprise AI surfaces. One AI-native platform, designed for AI usage control from day one. 

Palo Alto Networks

AI security extended onto a SaaS-era foundation

Palo Alto Networks has assembled AI security across acquisitions and existing products. Gaps may appear in the depth of control available at the AI interaction layer, where data and threats move between systems, and granular policy is most vital. 

Coverage for AI usage control

Consistent wherever AI runs 

One deployment covers commercial AI apps, embedded AI in SaaS apps and websites, desktop clients, CLI tools, IDEs, and local agents. Data and threat engines with AI in every layer provide customers with rapid security support for the newest technologies as the AI ecosystem rapidly evolves.

Palo Alto Networks

Broad coverage, SaaS-era depth

Existing infrastructure hinders speed-to-support new AI tools across all surfaces. Modern protocols are not natively decoded. Strata Cloud Manager unifies the admin view, but inspection and control depth still depends on pre-AI data protection and threat prevention engines. 

Depth of control over AI usage 

Intent, identity, and full context for every interaction

Aurascape maps the full AI traffic profile. Aurascape's deep decoders identify what each AI app is built to do, which capabilities are invoked, and the context of the user’s interaction. Policy combines identity, entitlement, plus custom and pre-defined data and threat categories for granular AI usage control. Policy applies per-action with full conversational context.

Palo Alto Networks

Inspection limited by SaaS-era Policy engines

Policy is limited to URL-based app identification, without entitlement-tier distinction or AI-specific intent controls.

Our Customers

microage
usxpress
usc
iihs
thepolicecu
typeoneenergy
powerlatticeinc
eventussecurity
ackway
sitime
winwire
zooberpay
peckhannafordbriggs
auradine
upscaleai
sailinternet
s3ntrycorp
actransit

Why CISOs and Enterprise Security Teams Choose Aurascape

A dedicated AI-native control layer for the full enterprise AI ecosystem, designed for Fortune 500 environments and growing enterprises alike.

Govern AI usage with clarity

See how employees use commercial AI, embedded AI, copilots, and agents across the enterprise, then apply policy with precision, not just coarse blocking.

Secure AI systems across build & use

Extend coverage from employee AI use cases into the AI systems your teams build, deploy, and operate. One platform for the full lifecycle.

Control agentic interactions

Apply guardrails across agentic activity to protect sensitive data, prevent threats, and monitor built, bought, and shadow AI agents.

Built for real enterprise AI

Govern AI wherever work happens: browsers, desktop apps, SaaS tools, CLI tools, IDEs, and agentic workflows. Additive to your existing security stack.

See how Aurascape compares in your environment

Bring your top comparison criteria. We'll show Aurascape in the context of your real AI surfaces, policies, and rollout goals, with examples relevant to your enterprise environment.

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