The company struggled with legacy tools that failed to handle complex traffic. These systems left the team blind to sophisticated threats in specialized manufacturing environments where intellectual property is most vulnerable.

Previous experiences led the team to doubt network-based machine learning. They required a solution that proved its strength against real-world attack scenarios and rigorous red team testing before committing to a global rollout.

The company maintained weak protocols serving as potential exfiltration paths. The team established a mandate to eliminate these worldwide to meet 2027 compliance goals and harden the network against IP theft.

Global business required NDR that scales across geographic locations. The team prioritized a deployment providing detailed forensics and records without the burden of managing extensive on-premise hardware.

The semiconductor manufacturing 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.

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

The semiconductor manufacturing leader 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.