SOCWorkBench is a real-time AI security news aggregator that automatically discovers, classifies, and ranks newly published content from 50+ sources every 2 hours. Track the latest in prompt injection attacks, AI jailbreaks, LLM vulnerabilities, adversarial machine learning, red teaming, model security, data poisoning, supply chain attacks, AI safety research, and governance policy.
Prompt Injection • Jailbreak • Exploits • Guardrails • Red Teaming • Adversarial ML • Data Poisoning • Model Security • Supply Chain • Policy & Governance
35+ RSS feeds from security blogs and AI labs, Google News, Hacker News, Reddit (r/netsec, r/MachineLearning, r/cybersecurity), arXiv (cs.CR + cs.AI), and GitHub Security Advisories for AI packages including PyTorch, Transformers, and LangChain.
Security teams need to stay ahead of emerging AI threats. SOCWorkBench eliminates the noise by aggregating, deduplicating, and ranking AI security news so you can focus on what matters. From prompt injection CVEs to new adversarial ML research papers, get the latest AI security intelligence in one feed.