VentureBeat
Company ● Covered in 5 stories + Follow ✴ AI Graph
VentureBeat is a technology news and analysis site that has recently published survey-based research on enterprise AI adoption, covering security gaps in AI agent deployments, challenges with measuring AI infrastructure costs, misalignment between internal evaluations and real-world agent performance, and the state of enterprise agentic AI orchestration platforms.
Updated 7 August 2026
Signals
1 story (new)
Media momentum
As of 17 Sep 2026 · Visible stories in the last 30 days, compared with the 30 days before.
1 source
Source diversity
As of 17 Sep 2026 · Distinct publications behind this entity's visible coverage.
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Release activity
As of 17 Sep 2026 · Model, product and open-source release events in the last 90 days whose coverage involves this entity.
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Funding signals
As of 17 Sep 2026 · Funding and acquisition events in the last 90 days whose coverage involves this entity.
Jul 2026 → Aug 2026
Coverage span
As of 17 Sep 2026 · First to most recent month of TLDRocket coverage of this entity.
Management
updated 5 Aug 2026- Matt Marshall Founder & CEO
- Michael Rosinski Cro, COO
- Alexei Ilinykh Director Product & Engineering
Latest developments
VentureBeat names Rob Strechay as its first Lead Analyst, expanding its enterprise AI research push
VentureBeat · 4 weeks ago ·
44
The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials
VentureBeat · 2 months ago ·
53
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
VentureBeat · 2 months ago ·
35
The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway
VentureBeat · 2 months ago ·
20
Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
VentureBeat · 2 months ago ·
37
August 2026
July 2026
Enterprise AI agent deployments face evaluation, context, and security gaps despite rapid production adoption Research publication
- The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials
- The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
- The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway
- Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
Relationships
People
- Employed by Rob Strechay · 1 source