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Prisma Airs

Protect AI apps, agents and models with enterprise-ready security and governance

About

Prisma AIRS is a comprehensive security platform designed to protect every aspect of an organization's AI ecosystem, including AI applications, agents, and machine learning models. The product enables enterprises to discover and inventory AI assets, assess ongoing risks, and take proactive actions to prevent vulnerabilities unique to AI technologies.

Key features include real-time monitoring of AI behaviors, automated identification of threats and vulnerabilities such as model tampering or malicious scripts, and advanced governance tools to control access and manage AI agent identities. The platform also includes capabilities for securing third-party models, ensuring the integrity of data and application code, and simulating sophisticated attack scenarios through AI red teaming.

Prisma AIRS is particularly suited for the modern enterprise adopting generative AI, AI code assistants, and autonomous agents at scale. By providing visibility and security controls across the full AI supply chain— from development through deployment and ongoing operations— it helps organizations safely expand their use of AI technologies while reducing the risk of breaches, data leaks, or unintended AI actions. With endorsements from CISOs at major digital enterprises and recognition by industry analysts, Prisma AIRS positions itself as an essential solution for securing AI in complex environments.

Who is Prisma Airs made for?

IT Manager / Systems Admin CTO / Head of Engineering Legal / Compliance Officer
Established company (101-250 people) Large company (251-1000 people) Enterprise (1000+ people)

Prisma AIRS is tailored for security teams, IT managers, and compliance officers in large enterprises adopting AI technologies across business functions.

It is especially relevant to organizations deploying a mix of generative AI tools, autonomous agents, and third-party AI models at scale, where oversight, risk management, and regulatory compliance are critical.

Typical users manage digital infrastructure and need to ensure that AI-enabled workflows and applications remain secure against manipulation, data exposure, malware, and identity-related threats. The platform supports sectors like finance, healthcare, telecom, and technology, where sensitive data and compliance requirements demand robust AI security governance.

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