The Danger of Silent False Negatives and Why Conservative Security AI Beats Aggressive Automation
The scariest alert is the one your AI never sends. Here is why silent false negatives matter and why careful AI beats aggressive automation.
Practical guides, deep dives, and honest takes on security operations, threat detection, and incident response.
The scariest alert is the one your AI never sends. Here is why silent false negatives matter and why careful AI beats aggressive automation.
Most regulatory audits do not fail from lack of effort. They fail because the evidence is scattered, outdated, or impossible to find when the auditor asks.
A Dashlane brute force attack froze user accounts and exposed a small number of encrypted vaults over the weekend.
The Miasma supply chain attack backdoored dozens of trusted Red Hat npm packages to steal developer and cloud credentials.
Your CVE list has 4,000 items. Your attacker only needs one route. Here is how to find it before tomorrow's standup.
A practical guide to how Secure.com designs, builds, and scales security integrations for modern, modular cybersecurity operations.
Most security stacks don't fail because of bad tools. They fail because nothing connects them.
Most security teams patch by severity score. Mature GRC teams patch by risk appetite. Here is how to make that shift.
The best consolidation strategy isn't replacing your stack all at once. It's making everything you already have finally work together.
The infrastructure for tracking software vulnerabilities has fractured as AI-driven discovery floods databases and enables attackers to weaponize patches in minutes.
The era of arcane, human-gatekept zero-day research is over; automated AI pipelines are now discovering decades-old vulnerabilities in hours for less than the price of lunch.
71% of SOC analysts are burned out. AI is not the threat. The real problem is alert overload, and AI is finally clearing it.