Destination
Lemma Raises $2.3M Pre-Seed to Tackle Silent AI Agent Failures in Production

AI agent reliability startup Lemma has raised $2.3 million in pre-seed funding to build monitoring infrastructure designed to catch a particularly difficult class of problem: AI agents that appear to have completed a task successfully while quietly producing the wrong result. The round includes participation from Matrix, Y Combinator, Liquid 2 Ventures, Vermilion Cliffs Ventures, Irregular Expressions, Cervin Ventures, Comma Capital, Position Ventures, and Eight Capital, alongside angel… [...]

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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: 150.00

Destination
ExpressVPN review 2025: Fast speeds and a low learning curve

ExpressVPN is good at its job. It's easy to be skeptical of any service with a knack for self-promotion, but don't let ExpressVPN's hype distract you from the fact that it keeps its fro [...]

Match Score: 134.52

Destination
Surfshark VPN review: A fast VPN for casual users

Surfshark is one of the youngest major VPNs, but it's grown rapidly over the last seven years. Since 2018, it's expanded its network to 100 countries, added a suite of apps to its Surfshark [...]

Match Score: 133.75

Destination
NordVPN Review 2025: Innovative features, a few missteps

When we say that NordVPN is a good VPN that's not quite great, it's important to put that in perspective. Building a good VPN is hard, as evidenced by all the shovelware VPNs flooding the ma [...]

Match Score: 130.81

Destination
Proton VPN review 2025: A nonprofit service with premium performance

Proton VPN stands out for two main reasons: it's one of the only virtual private networks (VPNs) to include a free plan with no data limits, and it's one of the few services majority-owned b [...]

Match Score: 122.14

venturebeat
As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer

Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]

Match Score: 118.44

venturebeat
Intent-based chaos testing is designed for when AI behaves confidently — and wrongly

Here is a scenario that should concern every enterprise architect shipping autonomous AI systems right now: An observability agent is running in production. Its job is to detect infrastructure anomali [...]

Match Score: 113.77

venturebeat
The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]

Match Score: 100.96

venturebeat
Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't

Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]

Match Score: 96.55