4404 Founders·Nov 4AI Agent Backdoor From Pretraining Poisoning: Count the DocumentsA 0.1% poisoned pretraining corpus planted a remote code execution backdoor in CLI agents. Document counts, agent defaults, detection, fixes.17 min read·404-founders.com
OOmnithium·Jun 21Agentic AI Security: Defending Against Adversarial Attacks on Autonomous AgentsThe New Security Frontier: Why Agentic AI Breaks Traditional Controls You've hardened your perimeter, deployed WAFs, tuned SIEM rules. Then you ship an LLM agent that reads customer emails, queries in17 min read·omnithium.hashnode.dev
JJebitok·May 8Data Poisoning in RAG Systems (TryHackMe)Introduction Large Language Models learn how to behave from the data they are trained on and the data they continue to consume over time. Every pattern, association, and assumption the model uses orig26 min read·sharonjebitok.com
CCyberFreak999·Apr 9AI Threat Modelling: Data Poisoning & Training Attacks in AI SystemsUnderstand how attackers manipulate training data to create hidden backdoors and control AI behaviour without touching the system.5 min read·cyberfreak.hashnode.dev
PPython Anaconda·Dec 25, 2025Securing Cloud-Native AI Chatbots: Essential Lessons for 2025 DeploymentsSecure your cloud-native AI chatbots for 2025. Learn from recent vulnerabilities, implement proactive strategies, and leverage AWS, Azure, GCP security tools.2 min read·miniature.hashnode.dev
KKaustubh Rai·Jun 28, 2025June Meetup HighlightsBreachForce’s June 2025 edition3 min read·breachforce.net
TTushar Verma·Sep 22, 2024ART vs AIThe battle to save creativity from AI gold rush9 min read·1tushar.hashnode.dev
HHarsh Agarwal·Aug 21, 2024A Beginner's Guide to LLMs: Insights from Andrej Karpathy's TutorialA complete beginner’s overview to get you started12 min read·harshagarwal29.hashnode.dev
RRai·Jun 1, 2024Data Poisoning in AIAn Emerging Threat to AI Models3 min read·code.flatmarstheory.com
