CloudSec Wine

🤖 AI Threat Readiness Framework

Wiz proposes a 4-pillar AI Threat Readiness Framework: (1) reduce attack surface and AI-scan all exposures; (2) accelerate CVE patching and zero-day response; (3) perform deep AI-driven code analysis; (4) automate real-time threat detection and containment.

https://www.wiz.io/blog/ai-threat-readiness-framework

#AI

🔶 The AWS Bedrock API Keys Security Guide Part 2: Detection, Prevention, and Response

The second part of a guide to AWS Bedrock API key security, this research builds off of the risks of AWS Bedrock API keys introduced in part one to cover detection, prevention, incident response, and migration to STS.

https://www.beyondtrust.com/blog/entry/aws-bedrock-security-guide-api-keys-detection-response

#aws

🤖 Skill Issues: How We Discovered Supply Chain Attack Vectors in an AI Agent Skills Marketplace

Orca Security identified four supply chain attack primitives in an AI agent skills marketplace: unauthenticated install count inflation, non-deterministic security scanning, silent skill name override, and blind bulk updates. All enabling bait-and-switch, nested skill injection, and delayed weaponization attacks achieving real-world RCE.

https://orca.security/resources/blog/ai-agent-skill-supply-chain-security

#AI

20 мая в 12:00 (мск) пройдёт бесплатный вебинар «Автоматизация процессов безопасности в Kubernetes: опыт MWS Cloud Platform». 

Руководитель направления облачной безопасности Алексей Федулаев расскажет: 
- Какие есть подводные камни при переходе с ручных сканов 
- Как покрыть тепловыми картами кластеры и отслеживать нарушения
- Как находить аномалии в поведении пользователей 
- И наконец, как это всё подружить с центром безопасности

Вебинар будет полезен директорам по ИТ и ИБ, ИБ-специалистам и инженерам, работающим в облачных средах. 

Регистрируйтесь, подключайтесь к прямому эфиру и задавайте вопросы в чате. 

📆 20 мая в 12:00

#advertising

🤖 The (In)security Landscape of AI-Powered GitHub Actions (Part 2/2)

Wiz researchers analysed popular AI GitHub Actions (Anthropic, OpenAI, Google) and found: bot permission-check bypasses enabling untrusted external apps to trigger AI workflows, novel credential-file exfiltration vectors unrecognised by LLMs as sensitive, and widespread misconfigurations in repos with 200,000+ combined stars.

https://www.wiz.io/blog/github-actions-security-ai-powered-actions-vulnerabilities

#AI

🤖 LeakyLM: AI Assistants Are Leaking Your Conversations

Research disclosing that ChatGPT, Claude, Grok, and Perplexity embed third-party trackers (Meta, Google, TikTok) that leak conversation URLs, email hashes, and user identifiers, often bypassing cookie consent. via client-side pixels and server-side forwarding.

https://leakylm.github.io

#AI

🔶 The Danger of Multi-SSO AWS Cognito User Pools

This post explores security anti-patterns in multi-SSO AWS Cognito User Pools: ghost identity injection via misconfigured Lambda triggers, "triggerSource" blind spots, sub-splitting attacks on "event.userName", and IdP identifier hijacks. It also introduces "maSSO", a weaponized OIDC/SAML IdP for pentesting.

https://blog.doyensec.com/2026/05/05/cloudsectidbits-masso-cognito-sso.html

#aws

🤖 Building an AI Ready Vulnerability Management Program After NVD Changes and Claude Mythos

NVD's April 2026 scope reduction (enriching only KEVs and critical federal software) collides with AI-accelerated vulnerability discovery (e.g., Claude Mythos), creating a dangerous gap in OSS CVE coverage.

https://pulse.latio.tech/p/building-an-ai-ready-vulnerability

#AI

🖥 Proof, Not Promises: Evaluating Code Scanner Efficacy

How Block built benchmrk, a harness for measuring SAST scanner efficacy against ground truth you control.

https://engineering.block.xyz/blog/proof-not-promises-evaluating-code-scanner-efficacy

#SAST

🔎 How We Scaled Security Reviews Without Slowing Down Engineering

Postman is sharing the evolution of their Security Review Process (SRP). What didn't work, what they changed, and how they built SRP v2, a risk-based, automation-first security model embedded directly into their SDLC.

https://blog.postman.com/how-we-scaled-security-reviews-without-slowing-down-engineering

#SRP

🤖 OpenShell

OpenShell is the safe, private runtime for autonomous AI agents.

https://github.com/NVIDIA/OpenShell

#AI

👨‍💻 GitHub RCE Vulnerability: CVE-2026-3854 Breakdown

Wiz Research discovered CVE-2026-3854 (CVSS 8.7): an unsanitized semicolon injection in GitHub's X-Stat internal header allows any authenticated user to override security fields via git push -o, achieving RCE on GitHub com and full GHES server compromise.

https://www.wiz.io/blog/github-rce-vulnerability-cve-2026-3854

#github

🤖 redai

AI-driven vulnerability discovery and live validation.

https://github.com/kpolley/redai

#AI

🤖 magika

Fast and accurate AI powered file content types detection.

https://github.com/google/magika

#AI

🌩 My Claude Code Setup (2026 Edition)

A walkthrough of my Claude Code setup across a multi-project monorepo: global settings, safety guardrails, a context/plan/code workflow, subagents and plugins, and the StarCraft-themed customisations that make the terminal feel like mine.

https://blog.marcolancini.it/2026/blog-my-claude-code-setup

#ClaudeCode

🤖 Orchestrating AI Code Review at scale

Cloudflare built a CI-native, plugin-based AI code review system using OpenCode, orchestrating up to 7 specialised agents (security, performance, code quality, etc.) per merge request. It processed 131K reviews across 48K MRs, averaging $0.98/review at 3m39s median latency, with an 85.7% prompt cache hit rate.

https://blog.cloudflare.com/ai-code-review

#AI

🤖 How Amazon uses agentic AI for vulnerability detection at global scale

Amazon's RuleForge is a multi-agent AI system that auto-generates CVE detection rules from exploit PoC code. It uses parallel generation (via Amazon Bedrock/Fargate), a separate judge model (reducing false positives by 67%), and multistage validation, achieving 336% faster rule production than manual workflows while keeping humans in the final approval loop.

https://www.amazon.science/blog/how-amazon-uses-agentic-ai-for-vulnerability-detection-at-global-scale

#AI