A hands-on project blog documenting a series of applied machine learning experiments for cybersecurity, from building a log pipeline to statistical and Bayesian threat scoring and parsing macOS unified logs. Readers follow the author's workflow, code approach and findings step by step.
Website: https://www.peterstollery.co.uk/
Stoïk's security team publishes detailed technical write-ups on real ransomware intrusions, scanner vulnerabilities and on-chain ransom tracing. Readers get incident timelines, root-cause analysis and concrete defensive checks drawn from the team's own investigations.
Essays and a serialized book on AI-era cybersecurity, trust and measurement, citing specific vendor and lab reports. Readers get an original framework, including the Learning Advantage Ratio and the work-factor idea for AI judgment, alongside analysis of how security metrics get gamed.
Covers security news for people who run their own servers and care about privacy, including supply-chain attacks, runtime vulnerabilities and forensic tooling. It separates verified facts from rumour and explains what each issue means for readers and which fixes to apply.
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