AI security on Dec 2 centers on a serious Codex CLI command-injection flaw, new data showing layered AI defenses still buckle under targeted attacks, Anthropic’s agents successfully exploiting real DeFi contracts, Android zero-days hitting AI-enabled mobile endpoints, and a major investment push into explainable AI-driven investigations for national security
You can get great results from AI without oversharing. Learn how to create “safe prompts” that protect your privacy and still deliver powerful outcomes.
Over the past five days, malicious and “dark” LLMs have lowered the bar for cybercrime, HashJack has exposed a new AI-browser injection vector, Olymp Loader continues to evolve as a stealthy MaaS platform, Anthropic’s Claude Opus 4.5 boosts agent capabilities amid ongoing safety concerns, and new CVEs and identity hardening moves remind defenders that AI security is inseparable from solid infrastructure and IAM hygiene.
AI sounds confident, even when it’s wrong. Learn the simple checks everyday users can apply to catch bad AI advice before it causes problems
“HashJack” exposes a new class of AI-browser prompt injection, malicious underground LLMs accelerate attacker automation, and a new fully-undetectable MaaS loader raises baseline threat levels.
AI is part of daily life, but convenience often leads to oversharing. Learn the simple habits that keep everyday users safe while still getting the full benefit of AI.
LLMs demonstrate autonomous-malware capabilities, Trend Micro launches a dedicated AI-security platform, Microsoft and GitHub preview AI auto-remediation for vulnerabilities, and new updates emerge on Fluent Bit logging flaws and DeepSeek-R1 model risks.
AI plugins are powerful, and risky. Learn how to control permissions, monitor data flows, and prevent cross-system data leakage.
Second-order prompt injection in ServiceNow’s Now Assist, a new vLLM RCE, DeepSeek-R1’s insecure code bias, adversarial poetry jailbreaks, and fresh field lessons on securing GenAI all highlight how AI infrastructure, models, and safety controls are being stress tested in the real world.
AI agents are powerful but risky. Learn how to create guardrails and human review points so your automation stays safe and under control.
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