CuraSec

tag: Detection-Engineering · 5 items

2026-07-23 · GitHub Trending · source ↗ #siem#open-source#detection-engineering
  • Engineer — Learn: Worth evaluating as a high-throughput, open-source detection pipeline if you run your own SIEM infrastructure; no vulnerability or configuration change required today.
  • SOC/IR — Plan: Assess AIGuardSIEM for your detection stack: its native Sigma rule support and eBPF monitoring could expand coverage; evaluate against your current SIEM in a lab environment this quarter.
  • Leader — Skip
  • Engineer — Skip
  • SOC/IR — Learn: High-level argument that malware-free attacks now dominate (~79% per CrowdStrike data) reinforces the case for behavioral and identity-based detection layers alongside EDR; no specific TTPs or tooling to act on immediately.
  • Leader — Learn: The framing that AI-equipped attackers are outpacing traditional defenses is useful context for board-level discussions about detection investment, but the piece offers no new data beyond vendor-cited statistics.
  • Engineer — Learn: The title signals research on an emerging attack class targeting AI/ML toolchains — no enrichment signals confirm active exploitation, so no immediate patch or audit action is warranted, but engineers building AI pipelines should read for architectural implications.
  • SOC/IR — Plan: A CrowdStrike post explicitly framed around detection of a named technique (SANDWORM_MODE) likely contains TTPs or behavioral signatures worth converting into detections this quarter; no confirmed IOCs or KEV listing to justify an immediate sweep.
  • Leader — Learn: AI toolchain supply chain attacks as a named, emerging category is useful framing for future policy and budget conversations, but without a confirmed breach or active campaign, no same-week leadership action is required.
  • Engineer — Skip
  • SOC/IR — Learn: Thought leadership on AI agent architecture for SOC workflows — no IOCs or detection content, but relevant context for analysts evaluating or designing AI-assisted triage pipelines.
  • Leader — Learn: Frames the architectural tradeoffs of autonomous AI vs. copilot models in security operations — useful background for CISOs defining their AI-in-SOC strategy, though no new data to act on this week.
  • Engineer — Learn: Comment stuffing in HTML attachments is a novel obfuscation technique worth understanding when tuning email security tooling or evaluating AI-based scanning products; no patch or config change required.
  • SOC/IR — Plan: Build or tune email-gateway detections to flag HTML attachments with abnormally high comment-to-content ratios, as this technique is designed specifically to bypass AI-based filters your stack may rely on.
  • Leader — Skip