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Google’s agentic AI development environment includes multiple agent models and browser automation with Chrome.
25 frontier proprietary and open-weight models yielded high attack success rates when prompted in verse, indicating a deeper, underlying problems in their ability to process ambiguity veiled in poetry.
But it still has to learn about custom patterns from devs or docs, and needs help to review and tune its output.
AWS Frontier agents work independently on specialized tasks, with the first three agents focused on autonomous coding, application security, and devops.
For organizations introducing AI agents into employee workflows and customer experiences, data risk cannot be an afterthought. Here are seven practices to ensure your enterprise data is ready for AI.
Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards.
The history of open source is not a straight line toward total openness. The value in AI will come from proprietary guardrails, agents, and data.
The tool for creating agents has vulnerabilities, say experts; Google says it will post known issues publicly as it works to address them.
Mixpanel warns of phishing attacks after criminals steal email addresses and organization IDs from some customer profiles.
Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI CRM.