Services›AI Solutions›Cyber Threat Detection & Response
Industry: Financial Services, Enterprise
The security operations centre is flooded with alerts and slow to detect real threats. Every extra day a breach goes undetected compounds the damage and the cost.
ML-based anomaly detection surfaces genuine threats from the noise, and automated triage and response handle routine containment — shrinking both detection and response time.
Threats are caught and contained materially faster, which translates directly into lower breach cost.
Extensive AI plus automation cuts the breach lifecycle by about 80 days and saves around US$1.9M versus no automation; breaches caught before the 200-day mark cost 24% less.
Publicly reported deployments: Darktrace spots threats by flagging unusual network behaviour; Microsoft Security Copilot helps analysts investigate.
Representative outcomes based on industry benchmarks. We are not affiliated with the companies referenced.