How AI-Native Insider Threat Platforms Use Behavioral Analytics Instead of Static Alert Rules
Behavioral analytics catches threats by tracking patterns, not matching isolated events.
Callum Ferreira
Staff Writer
Callum Ferreira
Callum covered enterprise infrastructure for a trade publication for six years before narrowing his beat to security architecture and toolchain sprawl. He stress-tests vendor claims about platform consolidation and writes the site's deep-dives on how detection tools actually talk to each other in production environments.
8 stories
Integrating Insider Threat Tools With Microsoft 365 and Entra ID
Entra ID and M365 each see half the insider threat picture.
Callum Ferreira
Insider Threat Program Maturity Models for Security Teams
Security teams stall at maturity level two, mistaking activity for actual program progress.
Callum Ferreira
Insider Data Exfiltration via Personal Cloud Storage
Personal cloud storage is becoming insiders' preferred channel for stealing company data.
Callum Ferreira
Reducing Security Alert Fatigue with AI Triage in Enterprise SOCs
AI triage prioritizes high-risk alerts by evaluating behavior, not just events.
Callum Ferreira
Machine Learning Approaches to Behavioral Anomaly Detection in Security
Patterns across time, not single events, reveal real insider threats.
Callum Ferreira
Source Code Exfiltration Patterns in Technology and Semiconductor Firms
Recognizable patterns in source code theft can help companies catch insiders before damage occurs.
Callum Ferreira
Data Classification Challenges That Undermine DLP Effectiveness
Mislabeled and untracked data leaves most sensitive information invisible to DLP systems.
Callum Ferreira