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Curated links from external sources — not 360Softy original articles.

ExternalCybersecurity
Krebs on Security

Microsoft Patches a Record 570 Security Flaws

Microsoft Corp. today released software updates to plug at least 570 security holes in its Windows operating systems and other software, almost triple the number of vulnerabilities the software giant fixed in its record-smashing Patch Tuesday release last month. Microsoft attributed the burgeoning patch counts to vulnerability discoveries aided by artificial intelligence.

Security ToolsThe Coming StormTime to Patch
Krebs on SecurityRead original
ExternalCybersecurity
AWS Security Blog

Security Hub adds AI workload protection and multicloud support for Microsoft Azure

Security Hub is our foundation for full-stack enterprise security across clouds. It centralizes your security operations and turns raw signals into prioritized insights, so your team spends its time managing real risk instead of stitching tools together. Today that foundation grows in two directions our customers asked for most. We are adding purpose-built protection for […]

Artificial IntelligenceAWS Partner NetworkAWS Security Hub
AWS Security BlogRead original
ExternalCybersecurity
SANS Internet Storm Center

Microsoft Patch Tuesday July 2026 - The AI Acopolypse is Here , (Tue, Jul 14th)

This patch Tuesday includes a staggering&#;x26;#;xc2;&#;x26;#;xa0;622 vulnerabilities, not including another 427 vulnerabilities in Chromium, affecting Microsoft&#;x26;#;39;s Edge browser. 62 of the vulnerabilities are rated critical. One was disclosed before today, and two have already been exploited.

SANS Internet Storm CenterRead original
ExternalSoftware Engineering
GitHub Changelog

Code scanning shows AI security detections on pull requests

GitHub code scanning now surfaces AI-powered security detections directly on pull requests, expanding vulnerability coverage to languages and frameworks not currently supported by CodeQL. These detections help teams identify and… The post Code scanning shows AI security detections on pull requests appeared first on The GitHub Blog.

GitHub ChangelogRead original
ExternalSoftware Engineering
DZone

12 Factor Framework for Building Secure and Compliant Cloud Applications

It began with a late-night alert. A critical cloud application, serving thousands of users, had just been flagged for a security violation. No “hack” had occurred; nothing obviously was broken. What appeared to be a minor misconfiguration had quietly exposed sensitive data. The system was still running. The business was still operating. But compliance? Already compromised.

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