Paper proposes LLM 'adversary brains' as logical threat signatures
The design turns threat reports into testable hypotheses that can match campaigns and suggest new indicators such as C2 domains.
9 stories, newest first · one card per story
The design turns threat reports into testable hypotheses that can match campaigns and suggest new indicators such as C2 domains.
Authors report Gradient Boosting and LightGBM F1-scores up to 0.9229 on four noisy attack datasets with low mitigation latency.

A single model replaces translate-then-detect and is about 20–800 times faster per item and an order of magnitude cheaper.
Investigation, hunting, and triage use Abstract’s models plus foundation models, with containment actions firing when a detection matches.

Elastic now grades more than 2,100 prebuilt SIEM rules monthly on noise, speed, and threat coverage.

Conifers found 47% of deployed detections need fixes and about one-third of known threats lack coverage.
COBRA clusters newly registered domain names to flag suspicious domains at registration time, finding 47K domains with 98.5% precision before threat intel does.

Unit 42 clusters behavior of 40,000+ AWS identities from 125 cloud environments to map functional roles and enable lightweight SQL-based detection.

Wiz sponsors a webinar on building AI-ready security operations, focusing on attack-path visibility, exposure prioritization, and faster detection-to-remediation workflows.
Today 1.6K readers · 2.4K views · 776 reads · all time 189K views