AI4Triage: Augmentation and Automation in Cybersecurity

AI4Triage is an innovative cybersecurity solution designed to enhance the role of experts in security operations by integrating augmentation and automation. At its core, the Compute-Reason-Reflect (CRR) Loop helps ensure that every triage cycle becomes an opportunity for organizational learning, which can result in faster and smarter cybersecurity operations.

Key Capabilities

Augmentation

AI4Triage places human analysts at the center, capturing their reasoning and creating structured records that serve as durable artifacts of institutional knowledge. This process allows for reflection and continuous improvement.

Automation

The system supports experts by preparing, accelerating, and contextualizing data. It ingests, normalizes, and indexes data, creating Document and Lexical Graphs that preserve semantic and narrative context.

Compute-Reason-Reflect Loop

This cognitive framework processes raw data, builds indices, and generates insights. Experts engage with these insights to interpret connections and validate findings, providing critical evaluation.

Potential Benefits

Enhanced Decision-Making: By combining expert insights with automated data processing, AI4Triage improves detection and response times.

Organizational Memory: Reflection through reports and annotations converts one-time analysis into a collective memory, enriching playbooks and shaping future operations.

Reduced Risk: The system shortens investigation times and strengthens decision confidence, reducing cybersecurity risks.

Use Cases

Security Operations Centers (SOCs)

Incident Response Teams

Forensic Analysis

This is a professional services engagement to configure and deploy these agent(s) using AWS Generative AI services