33 related articles

GitHub integrates context-aware LLM reasoning into Secret Scanning to dramatically reduce false positives, combat alert fatigue, and boost security alert credibility for developers.

Cynative is an open-source AI cloud security auditing tool that lets you query AWS, GCP, Azure, and Kubernetes infrastructure using natural language. Its read-only architecture ensures zero risk to production environments.

Cynative is an open-source AI cloud security tool that lets you audit AWS, GCP, Azure, and Kubernetes infrastructure using natural language. Its read-only architecture ensures production environments stay safe.

Numbat is an open-source AI Agent security detection and response tool supporting cross-framework deployment with Agent behavior visibility and pre-execution interception capabilities.

OpenAI open-sources Codex Security components, bringing automated security detection to AI code generation. Analysis of its strategic value, developer impact, and the industry shift from capability to security.

OpenAI open-sources Codex Security components, bringing automated security detection to AI code generation. Analysis of its strategic significance and industry impact.

In the AI era, zero vulnerabilities is unrealistic. Explore why fast remediation is becoming the new security trust model and how MTTR metrics are reshaping software supply chain security.

A beginner's guide to Jenkins: its role as the CI/CD and DevOps hub, JDK requirements, and the four plugin categories (source control, build, security scanning, deployment) that power automation pipelines.

Master Codex AI programming assistant with this complete guide: CLI setup, slash commands, agents.md governance, MCP protocol, multi-agent systems, and enterprise plugin development.

A security researcher found a critical auth flaw in FIFA World Cup systems using just one ID. Deep dive into attack surfaces, least privilege, and responsible disclosure.

Learn how to use MCP (Model Context Protocol) to run adversarial tests on AI agents in the terminal, covering prompt injection, privilege escalation, and dangerous command execution scenarios.

OpenInspect's Multi-Repo Automations lets AI coding agents maintain up to 10 repositories on a schedule simultaneously — isolated sessions, independent PRs, and fault-tolerant execution for security sweeps, dependency upgrades, and framework migrations.

A developer's real case of building a dental clinic management system with GitHub Copilot and Azure SQL, revealing AI coding limits in cloud security config and how Human-in-the-Loop breaks through.

Learn how to connect SSMS SQL projects to an Azure DevOps CI/CD pipeline—covering YAML build config, SQL code quality analysis, managed identity authentication, and dynamic firewall rules for secure Azure SQL deployment.

AI compliance is shifting from document storage to generating credible adversarial testing evidence. Learn how TRAIGA, NIST RMF, and ISO 42001 shape audit-grade red team testing requirements.

BingoCode is an MIT-licensed open-source AI coding tool supporting offline intranet deployment, compatible with DeepSeek, Claude, OpenAI, and Gemini. Pure CLI design, four-step setup, high cache hit rates for lower costs — ideal for security-conscious teams.

As Claude Code, Cursor, and Codex enter enterprises at scale, policy enforcement guardrails are becoming critical. A deep dive into AI coding tool security governance, cross-platform compliance, and enforcement mechanisms.

The Reddit meme "did you or Claude build it" struck a chord with developers. This article explores how AI coding assistants reshape workflows, where the boundary of human-AI contribution lies, and how programmers can find irreplaceable value in the AI era.

AI coding assistants (Copilot/Cursor/Claude Code) frequently introduce vulnerable dependencies and hallucinate package names. This post analyzes an Agent-native CLI security tool and the shift-left security philosophy for AI-era supply chains.
Enterprise AI Factory: Governance Fram…
Explore how enterprises building AI Factories can govern autonomous AI agents through identity management, runtime protection, and defense-in-depth to balance autonomy with security.