A company's antivirus solution is effective in blocking malware but often has false positives.

Comprehensive and Detailed Explanation From Exact Extract:

Endpoint Detection and Response (EDR) platforms use behavioral analytics, machine learning, heuristics, and anomaly detection to identify malware and suspicious activity more accurately than traditional signature-based antivirus. EDR solutions also provide rich telemetry, process tracking, sandboxing, and automated investigation capabilities.

The SY0-701 exam emphasizes EDR as a replacement for legacy antivirus in modern threat environments. EDR can significantly reduce false positives by establishing behavioral baselines and analyzing file, process, and memory activity rather than relying solely on signatures. The scenario states the company wants a heuristic solution, which directly aligns with EDR’s advanced detection approach.

SIEM (A) is for log aggregation and correlation—not endpoint protection. DLP (C) prevents data exfiltration but does not detect malware. IDS (D) analyzes network traffic, not endpoint behavior.

Thus, EDR is the correct solution to reduce false positives and improve malware-detection accuracy.