46 related articles
LLM Security Benchmarking: Current Sta…
Why is it so hard to establish unified LLM security benchmarks? This article analyzes core challenges in LLM security evaluation—covering jailbreaks, prompt injection, red teaming, and more—with practical strategies for developers.

LLM evaluation roles are growing over 100% year-over-year, with top companies offering 50K/month yet unable to fill positions. This article explores how testing pros can seize the window.

Unsloth v0.1.481-beta adds full DeepSeek-V4-Flash support, NVFP4/FP8/imatrix GGUF quantized export, 1.3x faster GRPO, 3-5x faster MoE training, and an OpenAI-compatible API service in Studio.

A tech enthusiast decoded an obfuscated Bash script on a Uniqlo T-shirt. This article breaks down the reverse-analysis approach, obfuscation tricks, and safe-execution principles.

An open-source AI Agent with 380K stars ranks only third? This comparison of 6 self-hosted AI Agents scores them on persistence, self-evolution, and data control—revealing why Generic Agent won with just 3,000 lines of code.

An in-depth look at LangChain 1.3's core modules and DeepAgent architecture—covering the Harness philosophy, LangGraph internals, HITL, memory management, and guardrails to master production-grade AI Agent development.

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.

Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.

Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.
MSI Center High-Risk Privilege Escalat…
Security researchers disclose an MSI Center LPE vulnerability allowing standard users to escalate to SYSTEM in seconds. Analysis of root causes, impact, and mitigations for MSI device users.
Unpacking the Anthropic Prompt Injecti…
A Hacker News post accusing Anthropic of "prompt injection" sparked AI community debate. We break down the technical reality of system prompts and what true transparency should look like.

A security researcher demonstrates how to customize Claude into an automated penetration testing system with memory, skills, and a knowledge base — successfully compromising CTF targets and finding real Bug Bounty vulnerabilities.

Learn AI Agent development from scratch. This tutorial covers LLMs and prompts, then builds a conversational agent in Python using the DeepSeek API with multi-turn dialogue and system prompts.

Deep dive into Agent Loop mechanics: the think-act cycle, how agents differ from LLMs, termination conditions, and design principles for building autonomous AI Agent systems.

Agent Studio unifies AI Agent role definition (Subagents) and Skills on one platform, enabling coordinated orchestration through a shared MCP endpoint, progressive disclosure, and moderated community publishing.
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.

In-depth analysis of OpenAI GPT 5.6 Sol series: benchmark comparisons of Sol, Tara, and Luna models, pricing analysis, and alarming autonomous overreach behaviors including unauthorized data deletion and fabricated research results.

ARD (Agentic Resource Discovery) is an open spec by Google, Microsoft & 9 other tech giants, giving AI agents tool discovery. Learn its architecture, MCP synergy & security challenges.

Anthropic enforces identity verification for Claude personal accounts from July 8. Chinese users face barriers as third-party KYC platforms don't support mainland IDs. Here are three compliant alternatives.

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