GitHub Bolsters Supply Chain Security by Blocking Pwn Request Patterns

GitHub is stepping up its game to protect your code by blocking common attack patterns on pull requests, helping to prevent security vulnerabilities from untrusted code. As of June 18, 2026, its actions/checkout v7 will refuse risky fork checkouts by default, keeping your workflows safer from attacker-controlled code.

https://osintsights.com/github-bolsters-supply-chain-security-by-blocking-pwn-request-patterns?utm_source=mastodon&utm_medium=social

#SupplyChainSecurity #Github #EmergingThreats #CodeSecurity #Devsecops

GitHub Bolsters Supply Chain Security by Blocking Pwn Request Patterns

Learn how GitHub blocks pwn request patterns to bolster supply chain security with actions/checkout v7, and secure your workflows now with expert insights.

OSINTSights
Are insecure code completions a vulnerability?

Three months ago I saw that PyCharm shipped with a “Full Line Completion” plugin that “uses a local deep learning model to suggest entire lines of code”. These suggestions manifest as whole-line su...

sethmlarson.dev

We post-trained a model that pen tests instead of refusing your code

https://www.argusred.com/cli

#HackerNews #penTesting #AI #model #codeSecurity #machineLearning #ArgusRed

argusred — security scan and pen test · ArgusRed

Two security tools in one CLI. Audit your code, or attack it. Same binary, two tabs.

ArgusRed
🔥BREAKING NEWS: #Python lovers are *still* trying to make their code run safely—now with a sprinkle of #MicroPython and #WebAssembly magic. 🤦‍♂️ Simon's alpha package will apparently revolutionize the wheel for anyone who thinks running code securely was ever the problem. 🚀 Spoiler: it wasn't.
https://simonwillison.net/2026/Jun/6/micropython-in-a-sandbox/ #codeSecurity #innovation #HackerNews #ngated
Running Python code in a sandbox with MicroPython and WASM

I’ve been experimenting with different approaches to running code in a sandbox for several years now, but my latest attempt feels like it might finally have all of the characteristics …

Simon Willison’s Weblog

Anthropic Unveils Claude Security for AI-Powered Vulnerability Scanning

Boost your organization's security with Claude Security, now in public beta, which scans codebases to detect and fix software vulnerabilities with just a few clicks. Say goodbye to tedious API integrations and custom agent builds - simply access the feature from the Claude.ai sidebar and start…

https://osintsights.com/anthropic-unveils-claude-security-for-ai-powered-vulnerability-scanning?utm_source=mastodon&utm_medium=social

#AipoweredVulnerabilityScanning #ClaudeSecurity #VulnerabilityManagement #CodeSecurity #EmergingThreats

Anthropic Unveils Claude Security for AI-Powered Vulnerability Scanning

Discover Claude Security, AI-powered vulnerability scanning for Claude Enterprise customers, and start scanning for software vulnerabilities today with a public beta now live.

OSINTSights
How Anthropic’s Model Context Protocol Allows For Easy Remote Execution

As part of the effort to push Large Language Model (LLM) ‘AI’ into more and more places, Anthropic’s Model Context Protocol (MCP) has been adopted as the standard to connect LLMs …

Hackaday

Firms Scramble to Secure AI-Generated Code

As AI-generated code becomes more prevalent, a pressing question emerges: how much attention should security teams give to code produced by artificial intelligence? The surprising answer: a lot, with 58% of organizations dedicating over 10 hours a month to securing it.

https://osintsights.com/firms-scramble-to-secure-ai-generated-code?utm_source=mastodon&utm_medium=social

#AigeneratedCode #CodeSecurity #ArtificialIntelligence #EmergingThreats #SecureCoding

Firms Scramble to Secure AI-Generated Code

Learn how organizations secure AI-generated code and discover why your firm should prioritize code validation - read the findings now and take action today.

OSINTSights

Cursor's $29.3B code editor marketed Composer 2 as an "in-house" model. A developer found the actual model ID within 24 hours: it was Kimi K2.5, built by Beijing's Moonshot AI. This marks the second undisclosed use of Chinese models in four months, raising questions about transparency when users route proprietary code through these systems.

#AITransparency #CodeSecurity #TechAccountability

https://www.implicator.ai/opinion-cursor-called-it-in-house-it-was-built-in-beijing/

Cursor Called Composer 2 In-House. The API Said Kimi K2.5

Cursor called Composer 2 an in-house model. A developer found the actual model ID within 24 hours: kimi-k2p5-rl-0317-s515-fast. The $29.3B code editor ran on Beijing-built Kimi K2.5, whose maker the Commerce Department flagged for national security risks. Second time in four months.

Implicator.ai
AI generates vast amounts of code daily, but verification is becoming a critical bottleneck due to increased vulnerabilities and technical debt. Organisations must adopt layered governance to ensure safe and reliable software at scale.
Discover more at https://smarterarticles.co.uk/the-verification-crisis-why-checking-generated-code-is-harder-than-writing-it?pk_campaign=rss-feed
#HumanInTheLoop #AIinSoftware #CodeSecurity #SoftwareGovernance
The Verification Crisis: Why Checking Generated Code Is Harder Than Writing It

Software is eating the world, and now artificial intelligence is eating software. Cursor alone produces nearly one billion lines of acc...

SmarterArticles