Modern adversaries exploit unmanaged edge assets and identity planes to maintain a global median dwell time of 14 days. Point-in-time defenses and endpoint-centric models often miss these movements entirely.
While machine learning promised a solution, unguided unsupervised anomaly detection frequently worsens alert fatigue due to the Base Rate Fallacy, generating millions of false positives from routine network changes.
This whitepaper delivers an operational evaluation of exactly where mathematical models provide predictable security value, where they introduce operational noise, and how to structure your telemetry for genuine threat isolation.
Key Takeaways:
- ML Production Breakdown: Evaluating the certainty levels of supervised classification, behavioral heuristics, and unsupervised baselines.
- The Endpoint Blind Spot: Why EDR agents leave you exposed to firewalls, VPN concentrators, and IoT gateways.
- The Buyer’s Criteria: Three technical requirements to demand from security vendors during a software PoC.
- The NetWitness Blueprint: Ingesting full line-rate, full-packet capture (PCAP) to surface threats without the false-positive tax.
Ready to eliminate the noise? Read the Whitepaper.