Expert perspectives on application security, compliance, and emerging threats
GeneralYour vendor just sent you an SBOM. You need to know if it s actually useful or just compliance theater. CISA updated their SBOM guidance to require information for all components with no minimum depth
GeneralYour build broke this morning. Not because of a bug or a failed test, but because npm 12 now requires your explicit permission to run install scripts in your dependency tree. Welcome to the new defaul
GeneralScope This guide covers how to detect, prevent, and respond to malicious packages targeting payment integration SDKs on npm and PyPI . You ll find steps for validating package authenticity, monitoring
GeneralScope - What This Guide Covers You re reviewing code that emerged in minutes instead of weeks. Your traditional code review checklist doesn t account for AI-generated patterns, hallucinated dependenci
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GeneralThe Conventional Wisdom Your team reviews every pull request before it merges. Someone checks the logic, scans for obvious errors, and looks for security holes. You ve built this into your software de
GeneralMicrosoft has introduced Microsoft Execution Containers (MXC), a policy-driven execution layer that runs AI agents in isolated environments on Windows and WSL. If your team is deploying autonomous age
GeneralSecurity teams often treat AI agents like advanced APIs, but they re not. The recent Zscaler research revealing indirect prompt injection vulnerabilities in four models highlights a critical issue: yo
GeneralScope This guide explains how to manage AI security tools as supply chain dependencies requiring formal risk management. It covers: Identifying critical AI dependencies in your security workflow Build
GeneralYou can t audit what you can t define. When your LLM returns a user profile, incident report, or configuration change, you need to know exactly what fields you re getting, what types they are, and whe
GeneralYou ve probably seen the demos: type a single command, watch an AI agent probe your infrastructure, generate exploits, and produce a vulnerability report. Lyrie, the open-source autonomous pentesting
GeneralThe Conventional Wisdom Security teams often treat AI coding agents like advanced code generators. The typical approach: let the agent generate code, then scan the output. This includes static analysi
GeneralWhen you review a Pull Request, you re looking at changed files. Your SAST tool scans those files. Your IDE highlights issues in the file you have open. But the SQL injection vulnerability? It starts
GeneralThe Conventional Wisdom Your security team runs dependency scanners in CI/CD. You ve configured Dependabot, Snyk, or another tool. When a pull request comes in, the scanner checks for known vulnerabil
GeneralIf you ve ever watched a junior pentester run Nmap without understanding what they re looking for, you ve seen the problem AI-driven security tools must solve. Automation without reasoning creates noi
GeneralYou re deploying AI agents at scale. Your compliance framework covers user access, service accounts, and third-party integrations. But what about the agents themselves? Enterprises expect to deploy an
GeneralThe Conventional Wisdom The industry consensus suggests running AI-generated code in isolated sandboxes before it touches production. Tools like Greptile s TREX feature and Cursor s cloud agents creat
