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Articles by Yoav Golan
Anthropic’s announcement last week that Claude Security scans can now run on Claude Mythos 5 is a pretty big deal. AI scanning code isn’t new. What’s different here is how much context Claude brings into the analysis: how the code works, what the developer was trying to do, and how the pieces of the application interact. That can help uncover issues traditional scanners may miss, while also suggesting fixes developers can apply. I don’t think this replaces traditional scanners.
Your AI Agent Has New Skills. Can You Trust Them?
Everyone is using AI, from developers to HR. And as agents become part of everyday work, we’re giving them skills: reusable instructions that teach an agent how to perform tasks, use tools, access systems, and execute multi-step workflows. Installing an AI skill is a lot like installing a browser extension: it may promise one useful capability, but you still need to know who built it, what permissions it gets, and what it can do once it’s running.
Mythos: Just One Piece of the Cybersecurity Puzzle
Anthropic’s new AI model, Mythos, is being framed as a “cybersecurity reckoning.” And yes, it’s probably impressive. (We’ll have to wait and see once it’s broadly available.) But it’s also missing the point. Because in modern application security, finding vulnerabilities isn’t the hard part anymore. It hasn’t been for a while. For years, the industry has been investing in better ways to discover issues, static analysis, SCA, scanners, runtime tools.
Technical Architecture Guide: Fixing Code Issues Early to Protect Developer Flow
Technical Architecture Guide: Fixing Code Issues Early to Protect Developer Flow Learn how AI fundamentally changes development architectures and how pre-commit governance enables velocity without friction Introduction Developer productivity depends on flow: the state where engineers maintain focus, context and momentum. When issues are discovered late in the development process – after commits, code reviews or CI builds – teams pay the price in context switching, rework and broken momentum.
The AI Security Maturity Model for AI-First Development Teams
The AI Security Maturity Model for AI-First Development Teams A framework for evolving from reactive cleanup to proactive AI governance & protection Introduction AI adoption in software development often, if not always, moves faster than security programs can adapt to keep pace with. This creates a predictable and problematic pattern: teams start using AI informally, security discovers usage reactively and organizations scramble to establish governance after risks have materialized.
Executive Brief: Questions AI is Creating that Security Can't Answer Today
Executive Brief: Questions AI is Creating that Security Can’t Answer Today AI-assisted development is outpacing traditional AppSec governance – learn what leading security teams are doing to shore up these gaps Executive Summary AI-led development has moved from experimentation to standard practice across modern software teams. GitHub reports that 92% of developers now use AI coding tools, with AI-generated code contributing to 40% or more of new code in many organizations.
Hard to handle: Securing AI-generated code and the AI agents that write it
Organizations are charging heedlessly into AI-driven code generation without understanding the risks. They don't know which models their developers are using, where MCP servers are being used, or even which pieces of their own code are AI-generated -- or imported from elsewhere. Development teams may not realize that AI coding agents must be protected from prompt injection, data poisoning or other external influences.
Therapeutic potential of lefamulin in the treatment of community acquired pneumonia
Metrics Downloaded 0 times History Received 29 January 2019 Accepted 18 June 2019 Published online 23 July 2019 Information © 2019 Future Medicine Ltd KeywordsAcknowledgments Y Golan has served as an advisor for Nabriva Therapeutics. Financial & competing interests disclosure The authors did not receive any payments or resources for the preparation of this manuscript.
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