Attack Surface Mapperv1.0.0

A security team uses the Attack Surface Mapper to regularly scan an AI agent's channels, skills, tools, models, memory, inter-agent communications, and supply chain. The tool generates a coverage matrix that identifies gaps where red team attacks succeed but blue team detections fail, enabling prioritized hardening.

A financial institution deploys AI agents to handle customer transactions. The Attack Surface Mapper runs after every configuration change to ensure all attack surfaces are tested and monitored, mapping defenses to regulatory requirements and reducing audit findings.

A tech company integrates the Attack Surface Mapper into their CI/CD pipeline for AI agents. Each new skill or channel addition triggers a surface mapping, which blocks deployment if critical gaps (e.g., no detection for prompt injection) are found, ensuring security is baked in.

A hospital uses AI agents for patient data processing. The Attack Surface Mapper identifies gaps in memory poisoning and supply chain attacks, allowing the security team to implement additional monitoring and access controls, protecting sensitive data.

A customer support AI agent operates across WhatsApp, Slack, and email. The tool maps each channel's attack vectors (phishing, social engineering) against detection capabilities, prioritizing hardening for high-risk surfaces like encrypted messaging apps.

Offered as a cloud-based service where enterprises pay a monthly or annual fee per AI agent instance. Includes continuous scanning, dashboards, and integration with existing security tools.

Security consultants use the tool to perform one-time or periodic assessments for clients, delivering customized reports and hardening roadmaps. Suitable for organizations that prefer human-led security analysis.

Bundled with broader AI security platforms (e.g., firewalls, detection systems). The Attack Surface Mapper becomes a module within a larger suite, increasing stickiness and average revenue per customer.