The incumbent NDR vendor left unacceptable blind spots in the network. It lacked native, line-rate decryption capabilities, meaning threats hidden in critical east-west traffic and communications with unmanaged assets it missed completely.

Due to the exchange's high-speed operational demands, the security tool had to provide zero-latency monitoring for time-sensitive trading databases to avoid compromising trade execution speed or affecting core revenue streams. The incumbent failed to meet this demand.

The incumbent solution failed to scale across the organization’s diverse hybrid/multi-cloud environment, resulting in inadequate coverage and performance issues that risked a security failure as the exchange scaled its operations.

The incumbent tool's noisy, low-fidelity alerts caused significant SOC alert fatigue, obscuring critical threats and forcing analysts to tune filters instead of responding to incidents. Furthermore, poor SIEM and SOAR integration limited automation and centralized visibility, hindering efficient response efforts.

The automotive parts leader 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 reduced the SOC's operational burden by providing high-fidelity, low-noise detections. This shift allowed analysts to move their 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 organization gained efficiency and reduced complexity by consolidating NDR, NPM, and IDS capabilities into one unified, integrated solution for comprehensive network security and observability.

The global exchange 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.