With the SOC provided by the parent corporation, the local security team struggled with a lack of direct control and visibility into their own network. This created a reliance on external reporting that lacked the granular detail required for rapid internal response.

The business operates with a high degree of sensitivity toward cyber threats, yet it lacked a centralized system for real-time network monitoring. This "blindness" exacerbated significant concerns about undetected lateral movement and data exfiltration within the banking subsidiary.

Previous experiences with incumbent NDR tools led to skepticism regarding detection accuracy. The team required a solution that could survive a rigorous Red Team simulation to prove it could identify sophisticated post-compromise behaviors.

The global asset manager secured the required forensic depth and network control when it deployed ExtraHop, which analyzes 100 Gbps of east-west traffic and uses high-speed decryption to immediately find threats previously hidden within encrypted flows.

The cloud-scale machine learning built into the ExtraHop platform lifted the SOC's operational burden because it provided high-fidelity, low-noise detections. This shift allowed analysts to move focus from low-value false positives to highly reliable network activity, signaling true post-compromise threats and endpoint detection and response (EDR) evasion tactics.

The security team achieved comprehensive insight by using identity-based investigation, which links malicious network activity directly to user and service accounts, finally enabling the detection of all missed AD and lateral movement attacks.

ExtraHop fundamentally simplified incident response workflows because it established itself as the definitive source of network truth, automatically feeding high-value contextual data to the customer’s existing SIEM and EDR platforms.

The firm gained efficiency and reduced complexity by consolidating NDR, NPM, and IDS capabilities into one unified, integrated solution for comprehensive network security and observability.

The firm mitigated major risk by gaining deep fluency (parsing over 90 protocols) that allowed for accurate decoding of all traffic, including sensitive database communications, without introducing performance risk. This was critical for detecting hidden AD attacks and lateral movement.