Expert perspectives on application security, compliance, and emerging threats
GeneralScope This guide outlines the changes needed when shifting from manual observability workflows to AI-led root cause analysis. It s for DevOps and platform engineering teams planning to deploy AI agent
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
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
GeneralThe conventional wisdom: AI coding assistants are a smart investment. For $19-$200/month per developer, you get faster code completion, automated boilerplate, and productivity gains that justify the s
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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
GeneralTraditional security tools can t keep up with CI/CD pipelines. This operational reality forces security teams to rethink their approach to application protection. The shift to cloud native development
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
GeneralIn application security, the belief is that more detection equals better security. Scan everything, flag everything, track everything. If your SAST tool finds 10,000 issues, you need to see all 10,000
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
GeneralA 2026 Dataiku survey found that 85 percent of CIOs had seen AI projects delayed or blocked due to privacy concerns. Your compliance team s response? Deploy a privacy proxy and call it solved. Not qui
GeneralBetween 2024 and 2026, three major attack patterns targeted Retrieval-Augmented Generation (RAG) pipelines in enterprise SaaS environments. The EchoLeak vulnerability in Microsoft 365 Copilot enabled
