AI Security for CISOs
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MCP Security
A practical hub for Model Context Protocol security, token handling, SSRF prevention, and secure AI integrations.
MASA University Network
A representative network of U.S. university security programs collaborating on AI security and quantum readiness.
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A curated page tracking major public bug bounty programs and current headline reward signals.
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A curated watchlist of upcoming AI security and cybersecurity conferences, with official links and coverage angles.
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About HackWednesday
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Miasma Worm Turns Microsoft GitHub Repositories and AI Coding Agents into Supply Chain Risk
The Miasma worm reportedly led GitHub to disable 73 repositories across four Microsoft organizations. The campaign shows how compromised maintainer identity, CI trust, repository configuration, and AI coding agents can become one self-replicating supply chain.
CleverHans Lab's Adaptive AI Worm Moves the Risk Beyond Prompt Injection
University of Toronto researchers at CleverHans Lab demonstrated a prototype AI-driven computer worm that can map, test, and compromise heterogeneous enterprise networks in an isolated lab. The important shift is that this class operates outside AI apps and attacks ordinary IT infrastructure.
NIST's May Agent Security Readout Says AI Adoption Now Hinges on Controls
NIST's May 18, 2026 summary of AI agent security feedback makes one point hard to ignore: enterprises will not scale agents safely without stronger identity, authorization, and audit controls.
AI App Security's New Normal: Misconfiguration Is Becoming the Initial Access Path
Microsoft's May 14, 2026 research on exploitable AI app misconfigurations shows that many near-term AI security failures will come from exposed services, weak authentication, and overpowered control planes rather than novel model exploits.
wolfSSL, SSF, and the Security Risk Hidden Inside Secure Tunnels
wolfSSL support for Secure Socket Funneling shows why defenders need to track the cryptographic libraries beneath tunneling tools. Recent wolfSSL findings are a reminder that a tunnel is only as trustworthy as its certificate validation, build options, and patch path.
NIST's Latest AI Agent Security Signal: The Real Gap Is Implementation Guidance, Not Awareness
NIST's May 18, 2026 analysis suggests security teams already understand AI agent risk; what they still lack is concrete guidance for identity, authorization, monitoring, and measurable controls.
MiniPlasma Shows Why Security Teams Cannot Treat Old Windows Fixes as Closed Forever
MiniPlasma is a newly published Windows privilege-escalation proof of concept that reportedly revives the old CVE-2020-17103 path and turns a standard user foothold into SYSTEM access. The bigger lesson is about patch confidence, regression risk, and why defenders need validation beyond release notes.
AWS's New AI Security Framework Argues Day-One Controls Matter More Than Post-Launch Cleanup
AWS used mid-May 2026 guidance to make a useful point for defenders: secure AI programs start with identity, access, and guardrails in the prototype phase rather than after agents reach production.
Microsoft's MDASH Launch Turns AI Vulnerability Discovery Into a Patch-Tuesday Security Story
Microsoft's May 12, 2026 MDASH release matters because it ties agentic AI directly to 16 Patch Tuesday vulnerabilities, shifting the conversation from demos to measurable defensive outcomes.
OpenAI Daybreak Treats Cyber Defense as a Software Design Problem
OpenAI's new Daybreak initiative reframes cyber defense around resilient-by-design software, Codex-powered remediation workflows, and a tiered trusted-access model for increasingly cyber-capable AI.
Frontier Cyber Models Are Starting to Need Identity Controls, Not Just Guardrails
OpenAI's May 7 GPT-5.5-Cyber rollout, new phishing-resistant access requirements, and parallel NIST testing agreements all point to the same shift: advanced AI security capability is being governed more like privileged infrastructure.
May 2026 Is Turning AI Agent Security Into an Audit-Trail and Control-Plane Problem
Fresh NIST and Microsoft updates point to the same operational reality: security teams need ways to evaluate, inventory, and govern AI agents before trust in them can scale.
LiteLLM Hack Follow-Up: Why the New SQL Injection Exploitation Matters for AI Gateway Security
LiteLLM is now dealing with a different kind of security problem than the March supply-chain incident: active exploitation of a critical pre-auth SQL injection that puts upstream model-provider credentials and environment secrets at risk.
OpenAI's Cyber Action Plan Treats AI Defense as Shared Infrastructure
OpenAI's April 29 cyber action plan argues that AI-powered defense should be distributed broadly, and recent Microsoft and Google moves suggest the industry is starting to build the operational infrastructure to do it.
OpenAI and Microsoft Are Framing AI Security as a Speed Problem
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.
Google Cloud and Wiz Want AI Security to Start Before the First Commit
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.
MCP Security Best Practices: How to Secure Model Context Protocol Servers, Clients, and Tokens
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.
Microsoft's Latest AI Security Warning: The Exploit Window Is Shrinking
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.
Microsoft's AI Vulnerability Push Turns Exposure Management Into a Weekly Security Discipline
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.
Vercel Breach Claims: What Security Teams Should Do About Environment Variables, Tokens, and Deployment Trust
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.
Claude Opus 4.7 and Chrome V8 Vulnerabilities: Why AI-Speed Exploit Triage Changes Browser 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.
GitHub Security Best Practices: A Practical Checklist for Teams Shipping Real Code
GitHub security is not one setting. Teams need protected branches, rulesets, secret scanning, push protection, Dependabot, CodeQL, least-privilege access, and a security policy that turns repository hygiene into an operating rhythm.