AI Security Blueprint

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Important

This is a "Pre-release" feature and is not considered an official release. Please review the Pre-release disclaimer before using the feature.

The AI Security Blueprint dashboard delivers guidance across TrendAI Vision One™ to protect your AI stacks and users of AI services. This dashboard enables visibility into your AI assets including services, models, workloads, data storage, and entitlements in addition to code repositories and container images.

Services and users: View service usage and user access across AI services. Deploy secure access policies to control connections based on device, network, or location parameters.
Develop: Track code repositories for AI-related code and scan for vulnerabilities, malware, and exposed secrets. Access your repository inventory for detailed visibility of risks.
Deploy: View counts for continuous integration and continuous delivery (CI/CD) pipelines and container images that include AI packages. Enable artifact validation and threat monitoring in deployments. Scan your AI models for known attack techniques.
Runtime and production: Monitor AI infrastructure, cloud assets, and workloads. Generate risk events when TrendAI Vision One™ detects threats or misconfigurations. Review clusters and workloads for security compliance, vulnerabilities, and incident trends.

Action	Description
Add and update AI asset tags	Click Manage AI asset tags to tag and categorize your AI-related assets in Attack Surface Discovery for better organization, tracking, and vulnerability management across your security posture.
Configure Code Security	Click Configure next to Code Security to set up and customize your code security scanning policies, enabling detection of vulnerabilities, malware, and exposed secrets in your code repositories.
Connect or manage a code repository	Click View code repository inventory to see and manage repositories containing AI-related packages, dependencies, and codebase in Code Security so you can assess code risk and track security issues.
View AI-related CI/CD artifacts	Click View CI/CD artifacts to see continuous integration and continuous delivery pipelines and container images that include AI packages in Code Security.
Configure Container Security	Click Configure next to Container Security to set up container scanning policies, enabling detection of vulnerabilities and threats within container images used in your AI infrastructure.
View containers with AI-related packages	Click View container image logs in Container Security to examine containers that include AI-related packages in Container Security providing detailed visibility into container contents, vulnerabilities, and security compliance.
Set up AI Scanner	Click Set up next to AI Application Security: AI Scanner to configure automated scanning for AI models and applications, enabling detection of known attack techniques and vulnerabilities in your AI systems.
View AI Scanner results	Click View AI Scanner results to view scan results to review comprehensive scan findings, vulnerability assessments, and security recommendations for your AI applications and models.
Configure Cloud Risk Management	Click Configure required features next to Cloud Risk Management to enable cloud security scanning, threat detection, and risk assessment across your cloud infrastructure supporting AI workloads.
Manage AI security posture	Click Manage AI security posture to enable and manage Cloud Security Posture so you can monitor and improve the overall security configuration and compliance status of your AI infrastructure.
Configure AI Detection and Response	Click Configure required features next to AI Detection and Response to enable threat detection capabilities, configure Cloud Accounts, and set up automated response mechanisms for AI-related security incidents.
View Workbench insights	Click View Workbench insights to access centralized dashboard displaying AI security analytics, threat intelligence, and actionable recommendations for improving your AI security posture.
View runtime cluster log	Click View runtime cluster log to monitor and analyze runtime activities, container behavior, security events, and operational logs from your Kubernetes clusters running AI workloads in Container Security.
Set up AI Guard	Click Set up next to AI Application Security: AI Guard to configure runtime protection and monitoring for AI applications, enabling detection and prevention of threats during execution.
View AI Guard results	Click View AI Guard results to review runtime threat detection findings, security incidents, and recommendations for your AI applications in production environments.
Configure Data Security Posture	Click Configure required features next to Data Security Posture to enable data classification, discovery of sensitive information, and data protection policies for AI-related data and models.
View assets with sensitive data	Click View Data Security Posture to identify and monitor data storage locations and databases containing sensitive or personally identifiable information (PII) used in your AI systems with Data Security Posture.
Configure AI Secure Access	Click Configure next to AI Secure Access to set up secure access controls, authentication mechanisms, and access policies for protecting access to AI services, models, and infrastructure.
View Secure Access	Click View Secure Access to set up secure access controls, authentication mechanisms, and access policies for protecting access to AI services.
Configure AI risk insights	Coming soon!
View AI risk insights	Coming soon!

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