Prompt: The More Operational AI Becomes, the Bigger the Security Challenge
As AI technology becomes more established, enterprises are struggling to secure increasingly autonomous and interconnected systems.
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$2.59 Trillion in AI Spending Dominated by Vendors and Hyperscalers, with Enterprises Yet to Flex Spending Potential. STAMFORD, Conn., May 19, 2026 — Worldwide spending on AI is forecast to total […] The post Gartner Forecasts Worldwide AI Spending to Grow 47% in 2026 appeared first on AIwire.
Read full articleAs AI technology becomes more established, enterprises are struggling to secure increasingly autonomous and interconnected systems.
Nearly halfway into 2026, enterprises are beginning to see tangible returns on their AI investments. Yet many are discovering that scaling requires something far less glamorous than flashy frontier models and state-of-the-art benchmarking: Clean, interoperable, governed data. According to a new AI Momentum Survey from Dun & Bradstreet, 97% of organizations report active AI initiatives, but just 5% say their data is ready to support them. This reflects the messy reality of AI as enterprises struggle to move beyond experimentation to operationalization. “You do not need enterprise-wide AI-ready data to launch pilots or isolated AI use cases,” said Cayetano Gea-Carrasco, Dun & Bradstreet’s chief strategy officer. “But you do need it to scale AI reliably across mission-critical workflows and systems.” Early gains seen Organizations are all-in on AI in 2026 and view it as a mission-critical imperative, according to the D&B report. Well over half (67%) are seeing “early signs or pockets” of
While Daybreak is a step toward more effective AI cybersecurity, more still needs to be done in the security arena, as models often create new vulnerabilities that leave enterprises exposed.
The post OpenAI spins out DeployCo with $4B funding to embed AI engineers directly into enterprises appeared on BitcoinEthereumNews.com. OpenAI is no longer content just building the models. Now it wants to install them too, on-site, with its own engineers sitting in your office. The company has launched The Deployment Company, or DeployCo, a joint venture backed by more than $4B from a consortium of 19 investors. The venture carries a $10B valuation and is led by Brad Lightcap, OpenAI’s COO. Its mission: send OpenAI engineers directly into enterprise clients to wire up AI systems across sectors like healthcare, manufacturing, and beyond. Who’s writing the checks The investor roster reads like a private equity all-star lineup. TPG leads the consortium, with Brookfield, Bain Capital, SoftBank, and Dragoneer among the 19 firms participating. OpenAI itself is committing up to $1.5B to the venture, giving it meaningful skin in the game. Here’s the thing that makes this deal unusual: invest
OpenAI's DeployCo initiative signals a shift towards AI implementation services, challenging traditional consulting firms and reshaping enterprise AI integration. The post OpenAI spins out DeployCo with $4B funding to embed AI engineers directly into enterprises appeared first on Crypto Briefing.
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