GeneralAI Won't Fix Your Deployment Pipeline
You ve probably heard the pitch: replace your error-prone human developers with AI agents, and watch your delivery problems disappear. No more miscommunication, no more merge conflicts, no more late-n
Expert perspectives on application security, compliance, and emerging threats
GeneralYou ve probably heard the pitch: replace your error-prone human developers with AI agents, and watch your delivery problems disappear. No more miscommunication, no more merge conflicts, no more late-n
IncidentWhat Happened On August 28, 2026, JFrog released Artifactory version 7.161.20 to patch CVE-2026-82329 , an authentication bypass vulnerability with a CVSS score of 9.8. Just four days later, on Septem
GuidesLast week, three different Slack threads raised similar concerns. A developer questioned if ChatGPT was a sanctioned tool. An engineer wondered if copying code into Claude breached data handling polic
GeneralThe conventional wisdom : Your existing threat modeling framework will work fine for AI systems. Just add LLM-specific threats to your STRIDE analysis, update your data flow diagrams, and you re cover
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StandardsYou re facing a decision: your organization is deploying LLMs, and you need to secure them. The OWASP LLM AI Cybersecurity Governance Checklist offers a structured six-step approach to LLM strategy. B
ResearchThe Challenge If your team uses AI coding agents, you might be overlooking a hidden cost: the data formats your tools output. When you send Sonar CLI results to an LLM for code analysis, you re paying
StandardsYour package manager trusts every update it receives. That trust just became your biggest vulnerability. Between September 14th and 18th, the Shai-Hulud worm altered more than 500 package versions on
IncidentCursor s security review system identifies over 200 vulnerabilities weekly across 3,000+ internal pull requests. This isn t a security incident; it s a testament to effective automation. It highlights
GeneralYou ve probably invested in prompt injection defenses, model guardrails, and access controls for your AI deployments. Your security checklist looks solid. But here s what most teams miss: the gap betw
IncidentIntroduction In 2026, Frost Sullivan recognized Picus Security as the Innovation Index Leader in their Frost Radar report on Automated Security Validation. This accolade wasn t for minor tweaks to exi
GeneralScope This guide covers implementing active traceability systems in software supply chains, focusing on the security and governance challenges introduced by AI-assisted development. You ll find requir
IncidentA vulnerability in Ruby on Rails libvips image processing library (CVE-2026-66066) has been actively exploited since early March 2024. VulnCheck recorded more than 360 exploitation attempts within the
IncidentWhat Happened A development team using LLM-assisted code generation released multiple pull requests containing hardcoded API keys, database credentials, and overly permissive access controls. The code
GeneralScope This guide focuses on identity-based security controls for AI agents that autonomously execute code, move data, and provision infrastructure. You ll learn how to implement lifecycle governance f
ResearchA Harvard Business School study tracking GitHub activity reveals something your security team needs to see: developers using Copilot increased their coding time by 12.4%, while their project managemen
IncidentWhat Happened Researchers found that AI coding agents can follow hidden instructions in project README files, even if those instructions lead to data leaks. In tests using ReadSecBench, a specialized