Redseal AI Usage
Description
The cyber risk analytics AI is designed to provide enhanced risk prioritization and likelihood of exposure, validating impact through AI orchestrated workflows and automation.
Detailed example
Outputs consist of a dynamic network map model of our hybrid environment, attack path visualizations showing possible lateral movement routes an attacker could take, segmentation validation reporting to confirm zero trust and Network Access Control (NAC) policies are enforced. In addition, there are outputs related to risk and vulnerabilities, compliance, and workflow automation.
AI / analytics pattern
Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Increased efficiency by reducing incident response guesswork and accelerating remediation.
Controls / human review
ATO: Not reported; PIA: Not published