Stellar Cyber’s Agentic Auto Triage Saves Analysts 19 Minutes Per Hour

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Analysts gained 19 minutes per hour through automated triage processes in Stellar Cyber’s agentic system trials conducted over 124 days.

Trial Results

The platform autonomously resolved 8,047 alerts classified as definitive false positives, accounting for 64% of all decisions made. An additional 1,875 alerts were escalated as potential threats, while the remaining cases were marked as informational and left unactioned. The trials analyzed 138,475 alerts across customer environments, with all metrics traced to final reports provided to participants. The system’s efficiency translated to nearly a full day of saved time over a workweek.

Spokesperson’s Comments

Staffing Challenges

A spokesperson for Stellar Cyber, Lisa Liu, highlighted that junior analysts could achieve the productivity levels of senior counterparts using the tool. She cited staffing challenges in the cybersecurity industry, where limited resources struggle to manage alert volumes and evolving threats.

System Design

The platform’s design shifts analyst roles toward oversight and proactive measures rather than reactive tasks. The company emphasized skepticism toward autonomous AI claims, advocating for trial-based evaluations to assess effectiveness.

System Architecture

Liu noted that while many vendors promote AI-driven solutions, true value lies in tools that enhance analyst workflows without creating additional burdens. She warned against unsupervised systems, stressing that even minor errors could escalate into critical incidents. A review step remains integral to the process, ensuring human oversight despite rapid AI decision-making.

Automation and Accountability

Alert volume is expected to rise as adversaries adopt more sophisticated AI tools, exacerbating existing challenges. Liu described persistent alert noise as a longstanding industry pain point, with effective management becoming a critical factor for organizational success. Stellar Cyber’s Multi-Layer AI architecture integrates data transformation, detection management, and remediation.

Collaborative Workflows

The system prioritizes human agency, allowing analysts to intervene or question automated decisions. Full visibility into AI reasoning enables analysts to expand their capabilities while maintaining control over critical processes. The trials demonstrated that human and automated systems aligned on 99.7% of verdicts, reinforcing the importance of collaborative workflows.

Conclusion

The company’s approach balances automation with accountability, ensuring transparency in decision-making. Stellar Cyber’s technology emphasizes that automation operates within defined boundaries, preserving human oversight at all levels. This framework aims to enhance analyst efficiency without compromising security outcomes.

“The system’s efficiency translated to nearly a full day of saved time over a workweek.”

“Even minor errors could escalate into critical incidents.”

“Effective management becoming a critical factor for organizational success.”