Introducing Cortex Cloud

Bringing together best-in-class CDR with the next version of Prisma Cloud's leading CNAPP for real-time cloud security.

WHY IT MATTERS

The rapid adoption of AI/ML leads to model corruption, AI model misuse and unwanted data exposure.

Read about our approach to AI security. Read the blog

  • New AI attack vectors
    Implementing new pipelines and infrastructure together with lack of unified visibility make organizations susceptible to new attacks.

  • Dealing with model sprawl issues
    Lack of AI inventory can lead to shadow AI models, compliance violations and data exfiltration through AI-powered applications.

  • Governance is lacking
    New AI-focused legislation mandates strict controls around AI usage and customer data that is fed into AI powered applications.

Datasheet: Securing the AI Landscape

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High-Level Benefits

Protect and control AI infrastructure, usage and data

Maximize the transformative benefits of AI and large language models (LLMs) without putting your organization at risk. Prisma® Cloud AI Security Posture Management (AI-SPM) gives you visibility and control over the three critical components of your AI security — the data you use for training or inference, the integrity of your AI models and access to your deployed models.

  • Detect unsafe or unauthorized model usage.
  • Reduce risk of data exposure from AI systems.
  • Ensure compliance with current and upcoming regulations.

Infographic: AI Risk Analysis

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  • Training data classification
  • Model access governance
  • Live model inventory
  • AI misuse prevention
  • AI attack path analysis

Our approach to AI security

THE PRISMA CLOUD SOLUTION

Visibility into AI Application Ecosystem

Discover all AI applications, models and associated resources. Identify and trace lineage of AI components used in applications.

  • AI App stack discovery
    Discover all AI applications, models and associated resources.

  • AI lineage
    Identify and trace lineage of AI components and data sources used in applications.

  • Model inventory
    Catalog AI models deployed and identify updates.

AI Model Risk Analysis

Identify vulnerabilities in the AI supply chain, and find misconfigured models and related cloud resources that can lead to manipulation, misuse and theft.

  • Prevent model compromise and theft
    By identifying risks of adversaries to create a functional equivalent.

  • Find misconfigurations
    By reducing overprivileged compute instances and models.

  • Avoid insecure plug-in design
    By identifying overprivileged and vulnerable agents/workloads.

Data Security Across Model Resources

Manipulating model data can introduce vulnerabilities and biases, expose data, and lead to data privacy violations, compliance and security risks.

  • Classify the AI stack
    Identify where sensitive data exists in training and reference data, libraries, APIs, and data pipelines that power AI models.

  • Monitor sensitive data
    Monitor and govern data exposure, poisoning risk, privacy violations and security breaches.

  • Prioritize vulnerabilities
    In infrastructure that host AI that is accessing sensitive data.

Trusted by innovators worldwide

Read how these customers keep their data safer with Prisma Cloud

Sources

Data Security Tip Sheet, Palo Alto Networks, August 2023; The Total Economic Impact™ Of Palo Alto Networks Prisma Cloud, Forrester Consulting, November 2023.