AI Runtime Security
With Strata Logging Service (SLS) - AI Security Logs
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AI Runtime Security Docs
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- AI Models on Public Clouds Support
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- Deploy AI Runtime Security: Network Intercept in GCP
- Deploy AI Runtime Security: Network Intercept in Azure
- Deploy AI Runtime Security: Network Intercept in AWS
- Configure Strata Cloud Manager to Secure VM Workloads and Kubernetes Clusters
- Harvest IP-Tags from Public and Hybrid Kubernetes Clusters to Enforce Security Policy Rules
- AI Runtime Security for Private Clouds
- Manually Deploy and Bootstrap AI Runtime Security: Network Intercept
With Strata Logging Service (SLS) - AI Security Logs
View AI security logs with Strata Logging Service (SLS).
The
AI security logs provide more information as compared to the threat logs.
Where Can I Use This? | What Do I Need? |
---|---|
|
- Log in to Strata Cloud Manager.
- Select Incidents and Alerts → Log Viewer.
- Select Firewall/AI Security.
The AI security logs:
- SLS 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.
- Recommended for platforms with SLS for log forwarding and if you want detailed AI-specific threat information.

Traffic Details
- 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 Type | Incident Subtype | Incident Subtype Details |
---|---|---|
ai-model-protection | prompt-injection | NA |
ai-app-protection | url-security | URL 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-denied | N/A | |
latency-block | N/A |
AI Security Report
Each report includes a unique
report ID to help debug logs.
- 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.
- Application Protection:The application protection report shows URL categories and the specific URLs in the payload that triggered these categories
- Data ProtectionThe 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 (each up to 1,000 characters), prioritized in the following order: Delete, Update, Create, and Read action.
- Matched Data Patterns (DLP):