venturebeat
Fixing AI failure: Three changes enterprises should make now

Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.Internal projects that struggle tend to share common issues. For example, engineering teams build models that product managers don’t know how to use. Data scientists build prototypes that operations teams struggle to maintain. And AI applications sit unused because the people they were built for weren't involved in deciding what “useful” really meant.In contrast, organizations that achieve meaningful value with AI have [...]

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venturebeat
Most enterprises can't stop stage-three AI agent threats, VentureBeat survey finds

A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain br [...]

Match Score: 82.70

venturebeat
Anthropic’s Claude Managed Agents gives enterprises a new one-stop shop but raises vendor 'lock-in' risk

Anthropic announced a new platform last week, Claude Managed Agents, aiming to cut out the more complex parts of AI agent deployment for enterprises and competes with existing orchestration frameworks [...]

Match Score: 51.84

venturebeat
GitHub leads the enterprise, Claude leads the pack—Cursor’s speed can’t close

In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]

Match Score: 48.92

venturebeat
Anthropic launches Claude Marketplace, giving enterprises access to Claude-powered tools from Replit, GitLab, Harvey and more

San Francisco startup Anthropic continues to ship new AI products and services at a blistering pace, despite a messy ongoing dispute with the U.S. Department of War.Today, the company announced Claude [...]

Match Score: 47.73

venturebeat
43% of AI-generated code changes need debugging in production, survey finds

The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships.A survey of 200 senior site-reliability and DevOps le [...]

Match Score: 45.97

venturebeat
TrueFoundry launches TrueFailover to automatically reroute enterprise AI traffic during model outages

When OpenAI went down in December, one of TrueFoundry’s customers faced a crisis that had nothing to do with chatbots or content generation. The company uses large language models to help refill pre [...]

Match Score: 42.83

venturebeat
OpenAI admits prompt injection is here to stay as enterprises lag on defenses

It's refreshing when a leading AI company states the obvious. In a detailed post on hardening ChatGPT Atlas against prompt injection, OpenAI acknowledged what security practitioners have known fo [...]

Match Score: 42.32

Destination
Google is fixing a bug that causes Gemini to keep calling itself a 'failure'

Gemini has been acting strangely for some users over the past few weeks. There are multiple reports online of users getting responses from Gemini that are oddly self-flagellating. A screenshot from an [...]

Match Score: 41.39

venturebeat
Meta's rogue AI agent passed every identity check — four gaps in enterprise IAM explain why

A rogue AI agent at Meta took action without approval and exposed sensitive company and user data to employees who were not authorized to access it. Meta confirmed the incident to The Information on M [...]

Match Score: 35.83