It would have to be your account at an LLM-as-a-service, not your private LLM, or it would be obviously exploitable. You may not be aware of just how "shortcut" the hiring process is today; if you think every candidate is carefully and objectively weighed against every other
CYBERSECURITY
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Resemble AI’s DETECT-3B Omni: Multimodal Deepfake Detector
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Calling it now, this will be the industry standard Deepfake Detector. @resembleai AI released the first multimodal deepfake detector “DETECT-3B Omni” yesterday.
— AI Breakfast (@AiBreakfast) 9 décembre 2025
Audio, video, images. 98% accuracy.
$13M strategic funding, backed by Google. pic.twitter.com/AxLyZ7dQCLCalling it now, this will be the industry standard Deepfake Detector. @resembleai AI released the first multimodal deepfake detector “DETECT-3B Omni” yesterday. Audio, video, images. 98% accuracy. $13M strategic funding, backed by Google. 
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Meta-Prompting: The Nuclear Option
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Technique 10: Meta-Prompting (The Nuclear Option) This is what OpenAI's red team uses to break their own models and find edge cases. You ask the AI to generate the perfect prompt for itself. Template: I need to accomplish: [high-level goal] Your task:
1. Analyze what would -
Amazon Nova 2 Models and AI Agents Announced
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Amazon announced Nova 2 models and 3 new AI Agents for AWS. – Nova 2 models: Lite, Pro, Omni, Sonic (multilingual) and Omni
– AI Agents: Kiro (SWE), AWS Security Agent, AWS DevOps Agent. Nova 2 Pro gets 70% on SWE-bench -
Perplexity unveils BrowseSafe-Bench for AI agent security
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Perplexity has introduced BrowseSafe-Bench, a benchmark and fine-tuned detection model to improve the security of browser-based AI agents.
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BrowseSafe-Bench: Security Benchmark for AI Browser Agents
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BrowseSafe-Bench is our security benchmark designed to evaluate the robustness of AI browser agents against prompt injection attacks embedded in realistic HTML environments.
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BrowseSafe: Open-Source Model Prevents Malicious Prompt Injections
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Today we're releasing BrowseSafe and BrowseSafe-Bench: an open-source detection model and benchmark to catch and prevent malicious prompt-injection instructions in real-time.
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Prompt Injection Attacks: Hidden Malicious Instructions for AI Agents
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Prompt injection involves embedding malicious instructions in text read by AI agents, altering its behavior unnoticed. Attackers hide this in comments, templates, footers, or invisible HTML elements parsed by agents but unseen by users.
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MCP Security Paper: Risks and Controls for Enterprise Adoption
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We just released a paper on Model Context Protocol security – joint work with Herman Errico (
@TrustVanta ) and Shanita Sojan (
@Darktrace ). As MCPs get adopted, companies need to understand the risks + controls needed in order to be secure and stay compliant. In this paper, we -
Code Review & Debugging Tips
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8/ Code review and debugging Paste broken code into Claude, add: "Review this code as a senior engineer doing a PR review. Identify: (1) bugs and why they'll cause issues, (2) performance bottlenecks, (3) security vulnerabilities, (4) readability improvements. Provide fixed