See why AI and security teams choose Mindgard over Protect AI (acquired by Palo Alto Networks) for visibility into their AI attack surface, measurement of AI risk and active defense of AI Systems.
See why AI and security teams choose Mindgard for attack‑driven testing, visibility across models and agents, and enterprise‑grade controls.
Map the AI attack surface to gain visibility into AI inventory and activity; reveal what attackers can find out about an organization’s AI.
Continuously red‑team models, agents, and apps across the AI lifecycle to measure risk. Assess how attackers can exploit your AI and validate fixes.
Actively defend AI. Enforce controls and policies to mitigate AI attacks at run-time. Stop attackers from breaching AI.
Below is a side-by-side comparison of Mindgard and Protect AI across key capabilities that matter to enterprise security and AI teams. Each category highlights how the two platforms approach visibility, testing, and control differently.
Feature
Winner
AI Risk Visibility
Surfaces high impact AI risks including architecture, integration and intellectual-property vulnerabilities. Works across agents, applications and models. Multi-modal support.
Excels at model scanning capabilities that surface model behaviour issues.
Shadow AI Discovery
Surfaces AI asset inventory; gain visibility into attack vectors within AI inventory.
No support. Per Protect AI’s website - while Shadow AI, as it is often referred to, is a risk to enterprises, we believe it is a problem that will be solved by existing shadow AI tools.
AI Risk Assessment
Continuous and automated AI red teaming across agents, models and applications. Assess how attackers can exploit AI.
Model assessment only. Enable the safe adoption of third-party AI models by scanning them for vulnerabilities. Surfaces models risks such as tampering, malicious scripts and deserialization attacks.
Behavioural Science Testing Capabilities
Integrates behavioral science by modeling how attackers exploit human, linguistic, and systemic biases in AI systems.
None
AI Security R&D Talent
86% of staff on R&D team, 38% hold PhDs. Founded by Prof at Lancaster. Research pipeline from the UK’s top AI security lab.
26% on R&D team; per People statistics on LinkedIn Sales Navigator.
Simplicity and Usability
Designed for both security engineers and AI builders, Mindgard delivers a clean, intuitive interface with clear risk visualizations, guided workflows, and one-click retesting—no steep learning curve required.
Offers multiple tools across its ecosystem, which can require additional configuration and expertise to connect and operate effectively.
AI Guardrails
Nascent capabilities
With the acquisition of Laiyer AI, Protect started offering a commercial version of Laiyer AI's open source LLM Guard with expanded features.
Attack-Driven Testing
Continuously red-teams models, agents, and applications through attack-driven testing—covering jailbreaks, data exfiltration, and prompt injection. Supports multi-turn adversarial chains with reproducible results to validate fixes and measure progress.
Focuses primarily on model scanning and dependency checks rather than active, adversarial testing. Does not simulate real-world attack behavior or support iterative retesting workflows.
Runtime Detection & Policy
Provides a policy engine for monitoring and controlling LLM and agent traffic. Detects sensitive data exposure, prompt injection, and tool abuse inline, with configurable actions to block, alert, or enrich security telemetry.
Offers runtime detection and enforcement capabilities. Focuses on static scanning and metadata analysis rather than real-time policy evaluation or response.
Enterprise Controls
Delivers enterprise-grade governance with granular permissions, policy enforcement, and detailed audit trails. Supports SAML/SSO, SCIM provisioning, and RBAC to align security testing with organizational compliance standards.
Offers mature enterprise integrations and identity controls through Palo Alto’s broader security ecosystem, including SSO, RBAC, and centralized policy management.
Integrations
Integrates seamlessly across developer and security workflows, including CI/CD pipelines, IDE hooks, SIEM, and ticketing systems. The first AI red teaming solution with a native Burp Suite integration, enabling red teams to extend attack-driven testing into familiar tooling.
Supports common enterprise integrations such as CI/CD, IDE, SIEM, and ticketing systems, but lacks comprehensive integration with red-team or offensive security tools like Burp Suite.
Deployment Options
Most flexible: SaaS, Private cloud, Customer‑managed. On-prem available for certain use cases.
Protect AI is being integrated into Palo Alto Networks’ Prisma AIRS platform
Reporting & Scorecards
Provides comprehensive reporting that connects testing outcomes to business risk. Teams can assess how attackers could exploit their AI, validate defenses, and evidence compliance through detailed scorecards, trend analytics, and scheduled executive summaries.
Offers standard dashboards and compliance reporting focused on model scanning results and posture summaries, but lacks attacker-centric metrics or automated executive reporting.
Support & Partnership
Customers gain a dedicated success team backed by world-class AI security researchers. Mindgard provides hands-on guidance informed by active attack research, helping enterprises apply the latest insights to their own AI environments and continuously strengthen defenses.
G2 reviews show mixed feedback on Palo Alto Networks support, with some users praising its responsiveness, while others report long wait times and issues with specialized support. Some users prefer working with partner-enabled support for more in-depth knowledge and faster resolutions, noting that direct vendor support can be slow due to high ticket volume, especially for configuration assistance.
Pricing Model
Contact sales for tailored pricing.
Priced as part of the Prisma AIRS package. Palo Alto Networks' Prisma AIRS (AI Runtime Security) pricing is complex because it is integrated into the broader Prisma Cloud and Prisma Access platforms, which each have their own intricate licensing models.
Powered by the world's most effective attack library for AI, Mindgard enables red teams, security and developers to swiftly identify and remediate AI security vulnerabilities.
Don’t just take our word for it, see how offensive security teams rate the experience across platforms.
CEO at AI software company
Red teamer at F500 bank
Purpose-built features that surface AI security threats that really matter.
Extend offensive testing into familiar workflows. Mindgard’s native Burp Suite integration lets red teams chain AI-specific attacks, validate exploits, and report findings directly within their existing toolset.
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Turn findings into fixes with guided remediation workflows. Automatically reproduce vulnerabilities, validate patches, and document risk reduction for auditors and leadership
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Test beyond text with coverage for vision, audio, and multi-modal models to uncover cross-channel vulnerabilities that attackers can exploit.
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Plug into CI/CD pipelines, IDEs, SIEM, and ticketing systems to bring AI risk visibility and testing automation into every stage of development and security operations.
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The world’s most effective library of jailbreaks, data exfiltration methods, and prompt injection chains—curated from ongoing research and field testing to mirror the latest real-world threats.
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Align findings to emerging frameworks like OWASP Top 10 and MITRE ATLAS, translating technical vulnerabilities into compliance-ready evidence.
Learn More >View and learn more about Mindgard's features, data handling capabilities, or integration options.
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