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Vulnerabilities Model inversion and training data extraction attacks allow adversaries to recover PII, proprietary data, and trade secrets from fine-tuned LLMs exposed via API.
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Threat Actors A newly tracked cluster uses LLMs to automate spear phishing, accelerate vulnerability research, and generate disinformation targeting AI researchers and ML engineers.
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Vulnerabilities How malicious content in external data sources can hijack agent behaviour in LangChain, LlamaIndex, and AutoGen-style agents via indirect prompt injection through tool responses.
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Research Vision-language models are highly susceptible to adversarial image perturbations, with attacks transferring across models (GPT-4V, Gemini Pro, LLaVA) at 43-74% success rates.
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News Brief Deepfake fraud against financial institutions hit $2.1B in Q1 2026, driven by commoditised real-time face-swap and voice-cloning tools now available for under $50/month.