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Cybersecurity

Autonomous Threat Detection & Response

60% reduction in mean-time-to-detect
CybersecurityAutonomous SystemsReal-TimeML
60%
MTTD Reduction
40%
False Positive Reduction
92%
Auto-Response Rate
65%
Analyst Capacity Freed

The Challenge

A managed security services provider was overwhelmed by alert volume — their SOC analysts were spending most of their time triaging false positives rather than investigating real threats. Response times were increasing as client portfolios grew.

Our Solution

Mentaris developed Aegis AI — an autonomous cybersecurity platform that ingests telemetry from multiple sources (SIEM, EDR, network flow), uses ML models for threat classification, and autonomously responds to known threat patterns while escalating novel threats to human analysts.

Results

  • 60% reduction in mean-time-to-detect (MTTD)
  • 40% reduction in false positive alerts
  • 92% of incidents handled by autonomous response
  • SOC analyst capacity freed for complex investigations
  • Real-time threat intelligence feed integration
Client details withheld under NDA. Specific metrics and outcomes are verified and available upon request during procurement discussions. Contact us for references.

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