Incomplete asset visibility is a security risk; Lumen Technologies discovered 64 times more assets after a review than previously recorded, revealing an industry-wide blindness to actual managed infrastructure.
SIEM, SOAR, and specialized AI-SOC vendors use identical marketing terms for fundamentally different product categories with diverging impact on security outcomes.
Detection Engineering replaces generic vendor rules with tailored, behavior-based detection mechanisms that align with an organization’s specific infrastructure and threat landscape.
AI-SOCs will automate routine tasks and create new specialized roles such as Data Engineer, Agent-Orchestrator, and Model-Trainer, rather than eliminating existing jobs.
24 percent of security leaders cite lack of transparency and visibility as the biggest obstacle to effective security operations – despite the necessary tools mostly being in place.
Security teams are drowning in IP enrichment data but cannot proactively locate the attackers behind them because anonymization techniques are too widespread.
Datadog extends its observability platform with automated IT-Ops, specialized agent security, and decentralized data processing to address AI-driven complexity and cost challenges.
While billions flow into AI-SOC platforms and agent-based tools, only 10% of SOCs report self-assessed “excellent” results — a sign of lacking maturity and unmet expectations.
