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From human clicks to machine intent: Preparing the web for agentic AI
For three decades, the web has been designed with one audience in mind: People. Pages are optimized for human eyes, clicks and intuition. But as AI-driven agents begin to browse on our behalf, the hum [...]
New framework lets AI agents rewrite their own skills without retraining the underlying model
One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).Memento-S [...]
Upwork study shows AI agents excel with human partners but fail independently
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]
Researchers broke every AI defense they tested. Here are 7 questions to ask vendors.
Security teams are buying AI defenses that don't work. Researchers from OpenAI, Anthropic, and Google DeepMind published findings in October 2025 that should stop every CISO mid-procurement. Thei [...]
Legacy IAM was built for humans — and AI agents now outnumber them 82 to 1
Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at ma [...]
ACE prevents context collapse with ‘evolving playbooks’ for self-improving AI agents
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automat [...]