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Dashboards↑

The AQtive Guard Dashboards provide a centralized view of your organization’s security and compliance posture, divided into two primary functional areas: Cryptography and AI. Each area is tailored to specific asset types and risk categories to ensure comprehensive coverage across your infrastructure.

Tip

To return to either the Cryptography or AI dashboard from other views, select the corresponding Dashboard option under its respective section in the main menu.

Cryptography↑

The Cryptography dashboard provides a comprehensive overview of your Cryptographic Posture Management (CPM), enabling you to monitor the status of scanned IT assets and cryptographic health. It highlights potential security and compliance issues, such as weak keys or expiring certificates, so you can take corrective action to protect your data foundations. This dashboard is divided into seven key sections:

  1. High-risk IT assets: Monitors the health of IT assets (hosts, applications, and container images) tracked over the past 3 months.
  2. High-risk cryptography objects: Visualizes the percentage of your total cryptographic inventory that is currently out of policy.
  3. Top 10 issues: Identifies and prioritizes out-of-policy rules based on their severity (critical, high, medium, or low).
  4. Certificate expiration (Scan status): Provides a quick summary of scanned infrastructure and certificate status over a specified time frame.
  5. Key types: A distribution chart showing the types of cryptographic keys discovered in your environment.
  6. Certificate types: Tracks the specific algorithms used within your discovered certificate inventory.
  7. Operation types: Visualizes the cryptographic algorithms being used in active operations or real-time traffic.

AI↑

The AI dashboard serves as the central hub for AI Security Posture Management (AI-SPM). It focuses on monitoring AI-specific assets, identifying Shadow AI usage, and managing risks unique to artificial intelligence, such as prompt injection, data leakage, and insecure model configurations. This dashboard is divided into nine key sections:

  1. AI Asset Inventory: Provides a count of scanned repositories and discovered AI assets, unique Models, active Agents, and MCP servers.
  2. AI issues over time: A historical trend line showing the discovery and resolution of AI-related risks over the last 12 months.
  3. Top Critical & High severity issues: A ranked list of the most severe AI vulnerabilities detected across the environment.
  4. Models by severity: A distribution chart showing how many AI models are flagged with critical or high-severity issues.
  5. Models at risk: Ranks specific AI models by the total number of security policy violations they have triggered.
  6. Agents by severity: Monitors the security health of AI agents, highlighting those with critical vulnerabilities.
  7. Agents at risk: Identifies specific AI agents most vulnerable to threats like prompt injection or data leakage.
  8. MCP servers by severity: Provides a health status for the Model Context Protocol servers, connecting models to data sources.
  9. MCP servers at risk: Highlights servers with insecure settings or unauthorized data access permissions.