The organization faced unacceptable blind spots across regional datacenters and numerous remote construction trailers and sales offices. This created an environment where incidents could go undetected in the "cracks" between locations, leading to delayed response times.

A growing need to align with Center for Internet Security (CIS) standards placed significant pressure on internal teams. Their current toolset lacked the unified detection approach necessary to meet these benchmarks and demonstrate a strengthened security posture to executive leadership.

The organization was plagued by "siloed" workflows where security, IT, and application teams used disparate data sources. This fragmentation led to inefficient troubleshooting, duplicated efforts, and a high TCO as the company managed multiple niche tools that failed to communicate.

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.