Blog
Notes from building an autonomous SOC.
Educational articles on the problems security teams face today and the approaches that help, from the team building ApexAI.
Articles
· 6 min read
Attacks at machine speed
Breakout times are measured in minutes and exploitation follows disclosure within days. Why a human-paced alert queue cannot keep up, and what has to change.
· 6 min read
Beyond SIEM rules and playbooks
Alert floods, brittle playbooks, rules that go blind when log fields change and knowledge that leaves with people. Why the classic SIEM and SOAR model is reaching its limits.
· 7 min read
Beyond agentic SOC
Agentic SOC tools chain a frontier model through tool calls, so cost and latency grow with every step and every alert. Why real autonomy must get cheaper as it learns.
· 6 min read
Local models for SecOps
Cloud frontier models are costly at SOC volume, add latency and send sensitive logs off-site. Why local, specialised models suit security operations, especially in regulated sectors.
· 6 min read
Detecting successful web attacks
WAF and IDS alerts tell you someone tried. The question a SOC must answer is whether the attack worked. Here is how to think about evidence of success.
· 6 min read
Fixed SOC thresholds
Static cut-offs in detection and triage quietly encode past analyst habits, including their misses. Why context-aware, verified judgement ages better.
· 6 min read
Proposal-first remediation
Automatic containment often lands on backups and legitimate admin work. Proposal-first remediation keeps the speed of automation and the judgement of people.
· 6 min read
Evaluating external datasets
Public security datasets can help models learn, or quietly inflate their scores. Data hygiene practices that keep your evaluation honest.
· 6 min read
One incident per attack story
Duplicate cases for the same attack waste analyst time and hide the story. Why grouping around the entity and the story, not the rule, cuts alert fatigue.
· 6 min read
Data-in-use protection
Database firewalls watch queries at the perimeter, but sensitive data flows through apps and APIs. Why field-level protection of data in use matters.
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