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OpenAI launches the GPT-5.6 model family with cybersecurity as its biggest highlight. A deep analysis of GPT-5.6's differentiation, double-edged-sword effect, and enterprise strategy.

A deep dive into Security Swarm's evaluation methodology: building test sets from real, recent vulnerabilities to avoid training data contamination and validate its ability to find more bugs at lower cost.

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.

OpenAI Frontier Evals lead Tejal Patwardhan reveals AI models are systematically underestimated — reasoning breakthroughs, wet lab records, the internal AGI Index, and a progress curve far steeper than most realize.

Security researchers disclose the GitLost attack, which uses prompt injection to trick GitHub AI agents into leaking private repository source code. An in-depth analysis of the attack principle, AI agent security risks, and developer defense recommendations.

As next-gen Claude models arrive, traditional cybersecurity faces a systemic crisis. Explore why human-built defenses have structural blind spots against AI-native attacks — and how the industry must respond.

Researchers found a hidden authentication backdoor in multiple Tenda router firmware versions, letting attackers bypass passwords to gain admin access. Learn the technical principles, impact, and protection tips.

Deep dive into how OSINT automation tools discover exposed files on domains, covering dictionary probing principles, attack surface management, bug bounty techniques, and compliance boundaries.

Deep analysis of a complete mobile exploit chain: how attackers start from Firefox, escape the sandbox, exploit kernel vulnerabilities, and achieve Android Root. Security insights for developers.

Taiganet.com is simulating the WS4000 industrial control system. This niche project preserves the engineering wisdom from before the PLC and SCADA era. A deep look at the challenges of ICS simulators, knowledge preservation, and reverse engineering in OT security research.

Why do C programmers keep creating readability disasters? An in-depth look at macro abuse, fancy pointer tricks, and over-nesting—and how coding standards, static analysis, and code review protect maintainability.

A deep dive into AirDrop and Quick Share wireless transfer protocol security — covering device discovery, handshake auth, data parsing attack surfaces, and practical defense recommendations.
T3MP3ST: The Open-Source Framework Tha…
T3MP3ST is an open-source offensive security framework that turns coding agents like Claude Code and Codex into autonomous red team tools. Achieves 90.1% pass@1 on XBEN, supports Web pentesting, CVE discovery, and smart contract auditing.
AI Rewrites PHP Engine in Rust: Alread…
A developer used AI to build a PHP execution engine in Rust from scratch. It passes ~17% of official PHP tests and renders WordPress — revealing the real limits of AI-assisted systems programming.
How OpenAI Used Core Dumps to Track Do…
How OpenAI's engineering team used large-scale core dump analysis and an epidemiological approach to identify a hidden hardware fault and fix an 18-year-old software bug.

GitHub Advisory Database hits historic vulnerability submission records, reflecting systemic security pressure on open-source supply chains. A deep analysis of driving factors, response strategies, and practical recommendations.
How GitHub Manages Open Source Depende…
GitHub's OSPO uses automated dependency scanning, policy enforcement, and transitive risk detection to embed open source license compliance into CI/CD pipelines at scale.

In-depth comparison of five AI Agent code execution sandbox solutions—E2B, Daytona, Modal, Cloudflare Sandbox, and Vercel Sandbox—across isolation, cold start latency, state management, and pricing.
6 Free GitHub Security Settings Every …
GitHub offers 6 free security settings for open source maintainers: 2FA, Dependabot alerts, secret scanning, branch protection, permission reviews, and code scanning. Configure once, benefit long-term.

AI coding failures in enterprise aren't about weak models — they're about missing frameworks. Learn how Knowledge Bases, Skills, MCP, and Agents work together.