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A practical hub for Model Context Protocol security, token handling, SSRF prevention, and secure AI integrations.
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A representative network of U.S. university security programs collaborating on AI security and quantum readiness.
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The OpenAI-Hugging Face Incident Makes Evaluation Sandboxes a Frontline AI Security Control
OpenAI's July 21, 2026 disclosure and Hugging Face's July 16, 2026 incident report show that AI security is no longer just about prompt abuse. The evaluation environment itself has become part of the attack surface.
HalluSquatting Turns AI Agent Hallucinations Into a Supply-Chain Risk
New July 2026 research shows attackers can register the repository and skill names AI agents are likely to hallucinate, turning ordinary package and repo lookup mistakes into remote execution risk.
Security Claude Code Skills: Reusable AI Workflows for AppSec, SOC, and Incident Response
Claude Code skills can turn repeatable security work into reusable, reviewable workflows for secure code review, secrets triage, dependency risk, threat modeling, incident timelines, and AI governance.
LiteLLM as the Central Gateway for GenAI and Agentic Code Models: Control, Vetting, and Token Discipline
Security teams do not need every product team wiring its own OpenAI, Anthropic, Bedrock, Vertex AI, and coding-agent credentials. A centralized LiteLLM gateway can make GenAI and agentic-code usage more controlled, vetted, auditable, and cost-aware.
Starlink on Alaska and T-Mobile: Why Free In-Flight Wi-Fi from Seattle to San Jose Feels Like the Future
Starlink-powered in-flight connectivity is changing what passengers expect from airlines, especially on business-heavy routes like Seattle to San Jose. Here is why free Wi-Fi, live flight maps, messaging, and secure browsing should become the new airline and cruise standard.
Agent Data Injection Shifts AI Security Beyond Prompt Hardening
A new July 2026 agent-security paper argues that defenders are still protecting prompts while attackers are learning to poison the data structures AI agents treat as trusted context.
Anthropic's Fable 5 Return Puts Frontier Model Access Controls in the Security Spotlight
Anthropic's decision to restore Fable 5 after briefly suspending it over cyber-misuse risk is a useful case study in how frontier AI vendors may start tiering access, hardening safeguards, and treating offensive capability as a live security control problem.
GitInject Shows AI CI/CD Agents Turn Workflow Design Into the Real Security Boundary
A June 7, 2026 study on AI-powered CI/CD pipelines argues that prompt injection is no longer just a model problem: in real workflows, token scope, untrusted checkout, and trigger design decide whether an agent becomes a supply-chain foothold.
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.