venturebeat

2025-10-08

MCP stacks have a 92% exploit probability: How 10 plugins became enterprise security's biggest blind spot

The same connectivity that made Anthropic's Model Context Protocol (MCP) the fastest-adopted AI integration standard in 2025 has created enterprise cybersecurity's most dangerous blind spot.

Recent research from Pynt quantifies the growing threat in clear, unambiguous terms. Their analysis exposes the startling network effect of vulnerabilities that escalate the more MCP plugins are used. Deploying just ten MCP plugins creates a 92% probability of exploitation. At three interconnected servers, risk exceeds 50%. Even a single MCP pl [...]

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venturebeat

2025-10-01

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: 122.82

venturebeat

2025-10-29

The missing data link in enterprise AI: Why agents need streaming context, not just better prompts

Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]

Match Score: 78.57

venturebeat

2025-10-17

Researchers find adding this one simple sentence to prompts makes AI models way more creative

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite the [...]

Match Score: 66.11

venturebeat

2025-10-10

Weaponized AI can dismantle patches in 72 hours — but Ivanti's kernel defense can help

Adversaries from cybercrime gangs to nation-state cyberattack squads are fine-tuning weaponized AI with the goal of defeating new patches in 3 days or less. The quicker the attack, the more time to ex [...]

Match Score: 63.84

venturebeat

2025-10-28

GitHub's Agent HQ aims to solve enterprises' biggest AI coding problem: Too many agents, no central control

GitHub is making a bold bet that enterprises don't need another proprietary coding agent. They need a way to manage all of them.At its Universe 2025 conference, the Microsoft-owned developer plat [...]

Match Score: 63.43

venturebeat

2025-10-07

IBM claims 45% productivity gains with Project Bob, its multi-model IDE that orchestrates LLMs with full repository context

For many enterprises, there continue to be barriers to fully adopting and benefiting from agentic AI.IBM is betting the blocker isn't building AI agents but governing them in production.At its Te [...]

Match Score: 63.12

venturebeat

2025-10-09

The next AI battleground: Google’s Gemini Enterprise and AWS’s Quick Suite bring full-stack, in-context AI to the workplace

The friction of having to open a separate chat window to prompt an agent could be a hassle for many enterprises. And AI companies are seeing an opportunity to bring more and more AI services into one [...]

Match Score: 62.83

venturebeat

2025-10-02

Salesforce launches AI 'trust layer' to tackle enterprise deployment failures plaguing 80% of projects

Salesforce Inc. is expanding its artificial intelligence platform with new data management and governance capabilities, aiming to address what the company says is a crisis in enterprise AI adoption wh [...]

Match Score: 61.87

venturebeat

2025-10-29

Security's AI dilemma: Moving faster while risking more

Presented by Splunk, a Cisco CompanyAs AI rapidly evolves from a theoretical promise to an operational reality, CISOs and CIOs face a fundamental challenge: how to harness AI's transformative pot [...]

Match Score: 60.72