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.
Current AI web agents lack reliable defenses against prompt injection attacks and can fulfill attack objectives undetected while users remain unaware of the threat.
The EU AI Act mandates binding compliance measures effective immediately and requires organizations to systematically classify and document their AI systems according to risk levels.
Anthropic will make hidden request throttling in Claude transparent going forward but retains content restrictions, partly due to conflicts with the US Department of Defense over national security.
AI projects frequently fail due to lack of strategy and governance; they succeed only when systematically integrated into business objectives and with active employee involvement.
DXC is already successfully deploying Claude in production through 95%+ of software development on its new OASIS platform and is now rolling it out to customers in regulated, modern, and cybersecurity-critical environments.
Agent-EvalKit automates the evaluation of AI agents through structured test-case generation, observability instrumentation, and combined code and LLM-based metrics directly in the development environment.
