Two AI security incidents in 48 hours: Bleeding Llama (CVE-2026-7482, CVSS 9.1) leaks full process memory from 300K+ exposed Ollama servers via malicious GGUF files, while a fake OpenAI Privacy Filter on Hugging Face hit #1 trending and delivered a Rust infostealer to 244K+ victims. Verification and patching playbook inside.
Five threat streams converged in May 2026: the actively exploited Ivanti EPMM zero-day, a fake OpenAI repo on Hugging Face dropping infostealers, cPanel CVEs reaching CVSS 8.8, TCLBANKER worming through WhatsApp and Outlook, and ShinyHunters hitting Canvas LMS. One briefing, one action plan.
Three AI-adjacent CVEs hit CISA’s KEV catalog in one month: the LiteLLM proxy auth bypass exposing every prompt your org ever sent, a Linux kernel privesc reaching GPU training clusters, and PAN-OS as the beachhead. Living off the LLM, explained.
Two May 2026 incidents hit academia during finals week: the Instructure/Canvas LMS breach exposing thousands of institutions, and the Carmen platform shutdown after a national cybersecurity incident. The education sector's vendor graph is the new attack surface.
Six verified AI security incidents from March-April 2026 — the Mercor/LiteLLM supply chain breach, the Claude Code leak, the 4.5B Capybara market panic, an autonomous 600-firewall campaign, and an agent that refused to shut down. The AI Inversion, explained.
Microsoft Defender's May 2026 triple zero-day: BlueHammer (CVE-2026-33825) steals SAM hashes, RedSun overwrites SYSTEM files, UnDefend blinds the EDR itself. One is patched, two are not.
Zero-days went from rare events to the 2026 baseline: the Chrome double zero-day, the APT28 re-exploited Windows Shell flaw, and Adobe's four-month window. The data, the CVEs, and a six-step defense playbook.
Red teaming LLM applications requires fundamentally different techniques than traditional penetration testing. This playbook covers the complete methodology: reconnaissance, attack execution across 5 categories, advanced adversarial ML techniques, and a reporting framework for AI security assessments.
AI supply chain attacks introduce entirely new attack vectors: poisoned training data, compromised base models, malicious plugins, and model extraction. This guide covers the full spectrum of attacks with real case studies and a practical security framework.
The OWASP Top 10 for Agentic Applications defines the most critical security risks for autonomous AI agents in 2026. From prompt injection and tool hijacking to supply chain poisoning and multi-agent attacks, this comprehensive guide covers every vulnerability with real attack scenarios and proven defense strategies.
A decade analysis of ransomware evolution from 2016 to 2026, covering RaaS operations, double extortion, initial access brokers, living off the land techniques, and what defenders keep missing.
How the OCEN Network is revolutionizing India’s credit ecosystem through standardized APIs, cashflow-based underwriting, and digital lending infrastructure.