Expert perspectives on application security, compliance, and emerging threats
GeneralYour AI agents aren t just writing code anymore. They re generating gigabytes of execution traces that your compliance team wants to audit, your debugging team needs to query, and your infrastructure
GeneralThe conversation about AI coding agents often misses the real issue. Teams debate CLI versus IDE, agentic versus copilot, autonomous versus assisted. The actual risk is clear: you re generating code f
GeneralYour team just got asked to support AI agents that use Model Context Protocol (MCP). You ve got hundreds of existing APIs. Now what? This guide walks through the technical decisions you ll face when i
GeneralScope This guide helps you evaluate and filter security findings when you maintain open source projects. It addresses the challenge of distinguishing valuable insights from noise in vulnerability repo
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GeneralThe security gap between enterprise software and open-source projects has long been evident. Enterprise teams enjoy hardened container images, automated SBOM generation, and threat intelligence feeds.
GeneralThe Shift in Runtime Security Testing DAST adoption increased 24% year over year, with 47% of organizations now using runtime security testing. Nearly half of all organizations are scanning running ap
GeneralMany believe containers are the solution for isolating untrusted code. Your team might be running AI-generated code in Docker containers, trusting that namespaces and cgroups provide enough isolation.
GeneralThe Conventional Wisdom Ask most DevOps leaders how they validate code changes, and you ll hear: We run it through CI. The pipeline runs tests, scans for vulnerabilities, checks code quality, and eith
GeneralYou re not defending static applications anymore. When AI can write, deploy, and discard code in minutes, your security model needs to match that pace. AI systems now generate functional applications
GeneralYour team s AI coding assistant just suggested upgrading a dependency. It sounds confident. The recommendation includes version numbers and a brief rationale. You accept the change, run your tests, an
GeneralSecurity teams are making costly assumptions about AI-driven testing tools. Some think AI pentesting can replace traditional Dynamic Security Testing, while others believe static analysis is better fo
GeneralYour AI agents are burning through tokens faster than expected. The immediate reaction? Shorten prompts, compress context windows, and add token counters everywhere. But if you re treating token effic
GeneralBlack Hat USA 2026 revealed critical insights that should reshape your AppSec roadmap. Frontier models produce secure code only 24% to 36% of the time. Palo Alto Networks Unit 42 s NOVA system confirm
GeneralScope This guide outlines verification procedures for AI-generated dependency recommendations in your software supply chain. You ll find specific checks to run before accepting AI suggestions for pack
GeneralScope - What This Guide Covers This guide focuses on security controls for AI-assisted code generation tools like GitHub Copilot, Amazon CodeWhisperer, Tabnine, and ChatGPT in your development workflo
GeneralYour security team already manages identities for employees, contractors, service accounts, and API integrations. Now autonomous AI agents are entering production environments, and the assumptions tha
