# 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](https://www.paloaltonetworks.com/blog/prisma-cloud/ai-spm)

- 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

[Download the datasheet](https://www.paloaltonetworks.com/resources/datasheets/aispm-secure-ai-applications)

### 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

[Download the infographic](https://www.paloaltonetworks.com/content/pan/en_US/resources/infographics/attack-surface-llms-production)

- 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](https://www.paloaltonetworks.com/resources/datasheets/tip-sheet-data-security), Palo Alto Networks, August 2023; [The Total Economic Impact™ Of Palo Alto Networks Prisma Cloud](https://www.paloaltonetworks.com/prisma/forrester-tei-study-prisma-cloud), Forrester Consulting, November 2023.