venturebeat
AI agent evaluation replaces data labeling as the critical path to production deployment

As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling tools, as LLMs are increasingly able to work with all types of data. HumanSignal, the lead commercial vendor behind the open-source Label Studio program, has a different view. Rather than seeing less demand for data labeling, the company is seeing more. Earlier this month, HumanSignal acquired Erud AI and launched its physical Frontier Data Labs for novel data collection. But creating data is only half the challenge. Today, the company is tackling what comes next: proving the AI systems trained on that data actually work. The new multi-modal agent evaluation capabilities let enterprises validate complex AI agents generating applications, images, code, an [...]

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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: 202.11

venturebeat
RSAC 2026 shipped five agent identity frameworks and left three critical gaps open

“You can deceive, manipulate, and lie. That’s an inherent property of language. It’s a feature, not a flaw,” CrowdStrike CTO Elia Zaitsev told VentureBeat in an exclusive interview at RSA Conf [...]

Match Score: 134.28

venturebeat
Nvidia's agentic AI stack is the first major platform to ship with security at launch, but governance gaps remain

For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's a [...]

Match Score: 120.77

venturebeat
Adversaries hijacked AI security tools at 90+ organizations. The next wave has write access to the firewall

Adversaries injected malicious prompts into legitimate AI tools at more than 90 organizations in 2025, stealing credentials and cryptocurrency. Every one of those compromised tools could read data, an [...]

Match Score: 115.44

venturebeat
Anthropic vs. OpenAI red teaming methods reveal different security priorities for enterprise AI

Model providers want to prove the security and robustness of their models, releasing system cards and conducting red-team exercises with each new release. But it can be difficult for enterprises to pa [...]

Match Score: 111.27

venturebeat
Three AI coding agents leaked secrets through a single prompt injection. One vendor's system card predicted it

A security researcher, working with colleagues at Johns Hopkins University, opened a GitHub pull request, typed a malicious instruction into the PR title, and watched Anthropic’s Claude Code Securit [...]

Match Score: 107.86

venturebeat
Salesforce Agentforce Observability lets you watch your AI agents think in real time

Salesforce launched a suite of monitoring tools on Thursday designed to solve what has become one of the thorniest problems in corporate artificial intelligence: Once companies deploy AI agents to han [...]

Match Score: 107.06

venturebeat
AI agent credentials live in the same box as untrusted code. Two new architectures show where the blast radius actually stops.

Four separate RSAC 2026 keynotes arrived at the same conclusion without coordinating. Microsoft's Vasu Jakkal told attendees that zero trust must extend to AI. Cisco's Jeetu Patel called for [...]

Match Score: 105.02

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: 104.88