venturebeat
Cisco warns enterprises: Without tapping machine data, your AI strategy is incomplete

Cisco executives make the case that the distinction between product and model companies is disappearing, and that accessing the 55% of enterprise data growth that current AI ignores will separate winners from losers.VentureBeat recently caught up with Jeetu Patel, Cisco's President and Chief Product Officer and DJ Sampath, Senior Vice President of AI Software and Platform, to gain new insights into a compelling thesis both leaders share. They and their teams contend that every successful product company must become an AI model company to survive the next decade.When one considers how compressed product lifecycles are becoming, combined with the many advantages of digital twin technology to accelerate time-to-market of next-gen products, the thesis makes sense.The conversation revealed [...]

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venturebeat
Agent authorization is broken — and authentication passing makes it worse

Anthony Grieco, Cisco’s SVP and chief security and trust officer, did not hesitate when VentureBeat asked whether rogue agent incidents are reaching Cisco’s customer base."A hundred percent. [...]

Match Score: 183.25

venturebeat
85% of enterprises are running AI agents. Only 5% trust them enough to ship.

Eighty-five percent of enterprises are running AI agent pilots, but only 5% have moved those agents into production. In an exclusive interview at RSA Conference 2026, Cisco President and Chief Product [...]

Match Score: 179.01

venturebeat
The lineage behind 69% of open models was never verified. Cisco just fingerprinted almost 900 for free

A security team approving an open-source model for production today starts with a repository page. The page lists the model name, the license, and a tag identifying the base model it descended from. T [...]

Match Score: 141.03

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: 135.85

venturebeat
Agentic security: Enterprises enforce agent permissions two-thirds of the time — and isolate high-risk agents less than one in five

Across 116 enterprises, agents are in production and so are the incidents: A majority have already had a confirmed agent security event or a near-miss. Two-thirds of enterprises enforce scoped permiss [...]

Match Score: 128.66

venturebeat
Four of five enterprises that secured AI agent identities still can't contain one that goes rogue

Visa's president of technology, Rajat Taneja, walked the VB Transform 2026 audience through aiming Anthropic's Mythos at Visa's own payment network. The model stitched minor weaknesses [...]

Match Score: 120.91

venturebeat
OpenClaw has 500,000 instances and no enterprise kill switch

“Your AI? It’s my AI now.” The line came from Etay Maor, VP of Threat Intelligence at Cato Networks, in an exclusive interview with VentureBeat at RSAC 2026 — and it describes exactly what hap [...]

Match Score: 106.91

venturebeat
Infrastructure and compute: Enterprises are buying AI compute for speed while flying blind on what it costs

Across 170 enterprises, AI infrastructure has moved decisively into production — two-thirds now run AI workloads live and three in 10 run them at scale — while the ability to account for what that [...]

Match Score: 101.64

venturebeat
Agentic orchestration: Enterprise AI organizations know how to govern agents but still can't meter what they cost

Across 107 enterprises, agentic orchestration is not a choice of a single platform.The typical enterprise runs three orchestration platforms at once, and selects them for flexibility across models rat [...]

Match Score: 100.20