The HackWednesday archive
Security analysis, incident lessons, and practical guides for teams working with AI. Search the archive or choose a topic.
AI in Security
Late-April updates from OpenAI and Microsoft point to the same security reality: AI is compressing the time between discovery and exploitation, so defenders need faster access, remediation, and control loops.
AI-assisted Awaiting editor review
AI in Security
Google Cloud Next 2026 and Wiz's April product updates make the same argument: AI security is becoming a code-to-cloud discipline built around agent identity, shadow AI visibility, and guardrails for AI-generated software.
AI-assisted Awaiting editor review
AI in Security
Model Context Protocol can make AI tools dramatically more useful, but it also expands trust boundaries. Security teams should treat MCP like a privileged integration layer: sandbox servers, minimize scopes, block token passthrough, defend against SSRF, and review every tool as a potential remote-action surface.
AI in Security
Microsoft's April 22 security update argues that stronger AI models are compressing the time between vulnerability discovery and exploitation, forcing defenders to treat patch speed and exposure management as urgent runtime problems.
AI-assisted Awaiting editor review
AI in Security
Microsoft's April 22 AI security update shows that AI-discovered vulnerabilities will not just create more findings; they will force defenders to connect patching, exposure management, detections, and prioritization much faster.
AI-assisted Awaiting editor review
Cloud
Vercel confirmed unauthorized access to certain internal systems while hackers claimed to be selling stolen data. Security teams should avoid panic, but immediately review activity logs, rotate exposed environment variables, harden sensitive variables, and check GitHub, npm, and deployment tokens.
AI in Security
Claude Opus 4.7 is built for stronger coding and agentic workflows. Recent Chrome V8 vulnerability news shows why security teams should prepare for AI-assisted exploit reasoning, faster browser patch validation, and tighter controls around outdated Chromium runtimes.
Cloud
A practical GitHub security checklist for teams: branch protection, rulesets, secret scanning, push protection, Dependabot, CodeQL, GitHub Actions hardening, least-privilege access, OIDC, and SECURITY.md.
AI in Security
Recent reporting on an AI-assisted intrusion campaign against Mexican government systems shows why security teams should measure how quickly attackers can turn exposed services, stale credentials, and raw data into action.
AI-assisted Awaiting editor review
AI in Security
OpenAI is expanding Trusted Access for Cyber and introducing GPT-5.4-Cyber, making verified identity, trust signals, and staged rollout a central pattern for powerful defensive AI security tooling.
AI-assisted Awaiting editor review
AI in Security
Trivy is excellent at finding known vulnerabilities, misconfigurations, secrets, and SBOM risk. OpenAI-style agentic security workflows can help teams turn that scanner output into prioritized, reviewable remediation without treating AI as the source of truth.
AI in Security
Anthropic's Claude Mythos Preview and Project Glasswing are a warning shot for enterprise security teams: AI-driven vulnerability discovery is moving toward machine speed, and companies need secure sandboxes, patch pipelines, and executive governance before attackers copy the playbook.
