Expert perspectives on application security, compliance, and emerging threats
GeneralWhen an AI agent autonomously plans, writes, tests, and ships code, your security checkpoints need to adapt. Traditional AppSec gates won t catch what happens when an agent pulls in a malicious skill
GeneralThe Conventional Wisdom Run your SAST and DAST tools, fix what they flag, and you ve secured your application. The dashboard shows green. The compliance report looks solid. Your automated security pip
GeneralScope This guide focuses on detecting, responding to, and preventing compromised npm packages in production development environments. It includes pre-installation verification, runtime monitoring, inc
GeneralThe conventional wisdom : If we train AI models better, add more safety guardrails, and fine-tune their behavior, we ll solve the prompt injection problem. It s a training issue, not a design flaw. Wh
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GeneralStatic scanning tools can t keep up with obfuscated AI agent skills. Research from Hong Kong University of Science and Technology shows that SkillCloak, a tool designed to hide malicious code in AI ag
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
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
