MCP
What the MCP Protocol Anniversary Means for Enterprise AI Security
The Model Context Protocol turns one year old with a major spec update. Here's what enterprise security teams need to know.
MCP
The Model Context Protocol turns one year old with a major spec update. Here's what enterprise security teams need to know.
Enterprise AI
Studies report that up to 95% of GenAI pilot projects never scale beyond the lab . In fact, nearly 8 in 10 companies using GenAI have seen no significant impact on their bottom line . These stats underscore a hard truth: simply deploying a flashy AI agent is no guarantee of value.
AI Governance
Why enterprise AI governance failures trace back to architectural decisions, not policy shortcomings.
Enterprise AI
As organizations move beyond single large models and into multi-agent architectures, one truth is becoming clear: specialized agents outperform monolithic systems—but only if they’re supported by the right operational backbone. Multi-agent AI can unlock higher accuracy, faster execution, and more resilient workflows. Yet without the right infrastructure, teams
Enterprise AI
As enterprise adoption of generative AI accelerates, one role is quietly becoming a force multiplier: the forward-deployed engineer (FDE). Major AI labs and model providers—OpenAI, Anthropic, Cohere, and others—are rapidly expanding hands-on engineering teams to help customers implement, tune, and scale AI systems in real-world environments. The pattern
Enterprise AI
Langsmart, an enterprise AI infrastructure company focused on helping large organizations deploy and manage artificial intelligence at scale, announced today that Dev Kewalramani has joined the company’s Board of Advisors. Kewalramani brings deep experience in enterprise technology, investment strategy, and platform scaling—expertise that aligns with Langsmart’s mission