Datadog 2025 revenue forecast has been officially raised, driven by a strong first-quarter performance and surging demand for artificial intelligence and cloud-based security solutions. The company, known for its cloud monitoring and analytics tools, now expects annual revenue to reach between $3.22 billion and $3.24 billion—up from its previous guidance of $3.18 billion to $3.20 billion. This boost in outlook reflects not only solid sales but growing interest in Datadog’s expanding suite of AI-enabled products.
In Q1, Datadog posted $761.6 million in revenue, marking a 25% increase compared to the same period last year. The results easily beat Wall Street estimates, which stood at $741.5 million. The company also reported adjusted earnings per share of 46 cents, exceeding analyst expectations of 43 cents. Notably, Datadog saw a 13% year-over-year increase in high-spending customers, with more than 3,770 clients now contributing over $100,000 in annual recurring revenue—a strong signal of long-term enterprise commitment.
CEO Olivier Pomel attributed the growth to new feature rollouts, such as App Builder and On-Call, as well as steady demand for advanced security capabilities. Datadog is also deepening its investment in artificial intelligence through strategic moves like the recent acquisition of Eppo, a feature flagging and experimentation platform. This acquisition strengthens Datadog’s analytics infrastructure, enabling customers to deploy AI-powered experiments faster and more securely.
As AI continues to reshape enterprise operations, Datadog is positioning itself at the center of that transformation. The company’s focus on scalable, secure, and integrated tools is resonating with IT leaders navigating complex cloud environments. This improved forecast is more than a numbers bump—it’s a sign of confidence in Datadog’s vision and its growing role in the future of enterprise tech.
News Source: finance.yahoo.com
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Panicking bank customers is neither difficult nor expensive, as a recent study shows, suggesting that CISOs must also keep disinformation campaigns in mind.
The British research organization Say No To Disinfo has simulated an AI-driven disinformation campaign in cooperation with communications specialists Fenimore Harper. As part of the campaign, 500 bank customers in the UK were confronted with synthetic “rumours” about their financial institution.
The motivation behind the simulation was to ascertain whether fake news campaigns based on generative AI could trigger “bank runs” in the future — such as occurred against the Silicon Valley Bank in the US.
The results of the study underline AI’s ominous potential in this area:
- Almost 61% of study participants who consumed the fake news were fundamentally willing to withdraw their money from the respective bank.
- Just over 33% of respondents rated this as “very likely,” and another 27% as “probable.”
- Translated into financial expenditure, according to the study, a £10 investment in AI content generation (around US$13) can be enough to “shift” assets worth £1 million.
“With the help of AI tools, we generated false headlines whose narratives were intended to play on existing fears and biases. The key message was: ‘Customer funds are not safe,’” explain the study authors.
According to their report, the experts primarily used the short message service X to spread masses of corresponding posts and memes.
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Source : https://www.csoonline.com/article/3829738/ai-can-kill-banks.html
