Expert perspectives on application security, compliance, and emerging threats
GeneralThe Conventional Wisdom Security vendors often push AI-powered tools, claiming you need dedicated Non-Human Identity (NHI) management because machine identities are proliferating rapidly. They argue t
GeneralAfter the XZ Utils backdoor discovery in 2024—where a compromised compression utility could have granted attackers full administrative control over millions of systems—your compliance team probably ad
GeneralScope - What This Guide Covers This guide addresses the security implications of AI-powered development assistants that execute code directly on developer workstations. It focuses on: Prompt injection
GeneralThe conventional wisdom : When AI coding agents don t boost productivity, teams often think they need a smarter model. They consider waiting for GPT-5, switching to Claude Opus, or fine-tuning on prop
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GeneralYour security team just approved an AI coding assistant for your engineering team. Within days, developers are using it to refactor authentication logic, query production databases, and push code chan
GeneralYour DevSecOps team has built robust approval gates, security reviews, and change management processes assuming humans make the decisions. Now, AI agents are shipping code, modifying infrastructure, a
GeneralOn February 2nd, maintainers from npm, PyPI, crates.io, and Maven Central met for the first time to address security failures. The OpenSSF Package Manager Security Forum wasn t a celebration—it was a
GeneralThe Conventional Wisdom Security teams often view AI-powered vulnerability detection as an add-on to existing processes. You conduct static analysis, dynamic scans, and dependency checks, then perhaps
GeneralThe myths around federal software supply chain security persist because they re comfortable. They let you treat authorization as a one-time event, vulnerabilities as a scoring exercise, and compliance
GeneralScope - What This Guide Covers This guide focuses on verification frameworks for AI-generated code in production environments. You ll find specific controls for validating outputs from large language
GeneralYour team asks an AI assistant about a critical security patch. The model responds confidently, citing a fix that shipped three months ago. One problem: that patch was deprecated two weeks later due t
GeneralYour security team is about to add a new specialization. Not because of a compliance mandate or a framework update—because AI systems break every assumption traditional security roles are built on. At
GeneralSecurity teams often cling to outdated assumptions about static analysis customization. These assumptions made sense when development was slower and codebases were stable. However, with AI coding assi
GeneralScope - What This Guide Covers This guide focuses on how your platform engineering team can integrate supply chain security controls into shared infrastructure while minimizing disruption for applicat
GeneralYour developers are shipping code faster than ever, thanks to AI coding assistants. However, if you re still using the same security tools from three years ago, you re accumulating risk faster than yo
GeneralEvery security team wants automated policy management. The promise is clear: let machine learning handle your SELinux rules, firewall policies, and access controls. Set it and forget it. But when team
