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    With Strata Logging Service - AI Security Logs
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    Prisma AIRS

    With Strata Logging Service - AI Security Logs

    Table of Contents

    With Strata Logging Service - AI Security Logs

    View AI security logs with Strata Logging Service.
    Where Can I Use This?What Do I Need?
    • AI Security Logs Inspection in Strata Cloud Manager
    To ensure proper AI security monitoring and analysis, you should use Firewall/AI Security logs for detailed AI-specific threat information when using the Strata Logging Service. These logs provide more detailed information than standard threat logs.
    Strata Logging Service excludes Protected Model Traffic data for deployments in Germany, the Netherlands, and Australia at this time.
    1. Log in to Strata Cloud Manager.
    2. Navigate to Incidents and Alerts→ Log Viewer.
    3. Select Firewall/AI Security.
      • Strata Logging Service generates the AI security logs when AI security threats are detected between AI applications and AI models.
      • Includes detailed threat snippet identification and reporting.
      • Provide in-depth threat information and reports for different protection types such as AI model protection, AI application protection, and AI data protection.
        Create an AI security profile and attach a model group with specific protections to monitor traffic between your AI models, AI applications, and AI data, and detect threats.
      • This log type is recommended for platforms with Strata Logging Service for log forwarding, and if you want detailed AI-specific threat information.
      A log is generated for each AI security threat detected between an AI application and model. The logs are generated for prompt injections, sensitive data leakage, malicious URLs detected, and AI-generated database queries.

    Traffic Details

    Traffic Details: Click on a log to view traffic logs showing general information about Prisma AIRS AI Runtime: Network intercept. The traffic details logs include:
    • The AI model name, AI model CSP region name, AI incident type, AI incident subtype, AI security profile name, and an incident report ID for troubleshooting.
    • The logs also include the session ID, source, and destination details.
    The AI security threats are categorized into AI incident types and subtypes:
    Incident TypeIncident SubtypeIncident Subtype Details
    ai-model-protectionprompt-injectionNA
    ai-app-protectionurl-securityURL categories detected
    ai-data-protection
    data-rule
    database-security
    Data Rule: Name of DLP profile triggered
    Database Security: type of database query detected (Create, Read, Update, or Delete)
    model-deniedN/A
    latency-blockN/A

    AI Security Report

    AI Security Report: The AI Security Report tab provides detailed information on the AI traffic and specific AI threat logs. It includes threat snippet identification and reporting. The Prisma AIRS platform supports asynchronous identification of particular content snippets that trigger security detectors.
    Each report includes a unique report ID to help debug logs.
    1. Model Protection:
      The model protection report displays logs for any detected prompt injection threats. The prompt injection snippet (at most 1000 characters) helps identify the trigger and can include multiple snippets for complex payloads.
    2. Application Protection:
      The application protection report shows URL categories and the specific URLs in the payload that triggered these categories
    3. Data Protection
      The data protection report lists DLP data patterns that were triggered and the masked content that caused each pattern to trigger. These logs are categorized based on low, medium, and high-severity alerts. The data protection report includes two main components:
      • Matched Data Patterns (DLP):
        • Shows matched Data Loss Prevention (DLP) data patterns that were triggered.
        • Display specific snippets of content matching DLP data patterns. Content is stored and masked based on Manage → Data Loss Prevention → Settings → Sensitive Data configuration.
        • Data pattern matches are categorized based on low, medium, and high Confidence Level.
      • Database Security:
        • Shows content containing flagged AI-generated SQL database queries.
        • If multiple SQL queries are detected in the model response, the report shows up to 10 SQL queries (with each query limited to 1,000 characters). The queries are prioritized in the following order: Delete, Update, Create, and Read actions.

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