Legitimate AI agents inherently satisfy all three criteria of the “lethal trifecta” (data access, external content, external communication), so security must shift from architectural design to runtime monitoring.
European enterprises are deploying AI agents faster than they establish governance frameworks, resulting in security incidents involving non-human identities.
HarnessX automates the assembly and adaptation of agent harnesses from execution traces, achieving an average +14.5% performance improvement without model scaling.
A trainable classifier predicts with a 0.7 Macro-F1-Score based on early hidden states whether activation steering will succeed without requiring complete generations.
Language models are evolving from chatbots with simple next-token prediction into Digital Colleagues with working memory, persistent workspaces, reusable skills, and reliable problem-solving.
Anthropic must immediately disable Fable 5 and Mythos 5 following a US government export control directive citing national security concerns; the company disputes that the identified bypass method constitutes a substantive threat.
Anthropic disables Claude models Fable 5 and Mythos 5 globally following U.S. government directive citing alleged jailbreak risks, alerting CDOs to geopolitical dependency risks with proprietary AI APIs.
AI amplifies existing problems: companies with poor data hygiene and undocumented processes accelerate their compliance risks rather than their business processes when implementing AI.
TCS will deploy Claude to 50,000 employees and numerous enterprise customers in regulated industries, combining its compliance expertise with Claude’s accuracy.
Large Language Models reflect the weightings of their training data – those overrepresented in it, which perspectives are treated as standard, and which viewpoints are absent shape every output of the model.
