
Thales 2025 Global Cloud Security Study Reveals Organizations Struggle to Secure Expanding, AI-Driven Cloud Environments
'With over half of cloud data now classified as sensitive, and yet only a small fraction fully encrypted, it's clear that security strategies haven't kept pace with adoption."
Cloud remains at the forefront of security considerations
Cloud is now an essential part of modern enterprise infrastructure, but many organizations are still building the skills and strategies needed to secure it effectively. The variability of controls across cloud providers, combined with the distinct mindset required for cloud security, continues to challenge security teams. This pressure is only increasing as AI initiatives drive more sensitive data into cloud environments, amplifying the need for robust, adaptable protections.
This year's Thales Cloud Security Study confirms that cloud security remains a top concern for enterprises worldwide. Nearly two-thirds (64%) of respondents ranked it among their top five security priorities, with 17% identifying it as their number one. Security for AI, a new addition to the list of spending priorities this year, ranked second overall, highlighting its growing importance. Despite sustained investment, cloud security remains a complex, persistent challenge that goes beyond technology to include staffing, operations, and the evolving threat landscape.
'The accelerating shift to cloud and AI is forcing enterprises to rethink how they manage risk at scale,' Sebastien Cano, Senior Vice President, Cyber Security Products at Thales, said. 'With over half of cloud data now classified as sensitive, and yet only a small fraction fully encrypted, it's clear that security strategies haven't kept pace with adoption. To remain resilient and competitive, organizations must embed strong data protection into the core of their digital infrastructure.'
The average number of public cloud providers per organization has risen to 2.1, with most also maintaining on-prem infrastructure. This growing complexity is driving security challenges with 55% of respondents reporting that cloud is harder to secure than on-prem, a 4-percentage-point increase from last year. As organizations expand through growth or M&A, they're also seeing a surge in SaaS usage, now averaging 85 applications per enterprise, complicating access control and data visibility.
This complexity extends to security operations, with many teams struggling to align policies across varied platforms. The study found that 61% of organizations use five or more tools for data discovery, monitoring, or classification, and 57% use five or more encryption key managers.
Attacks target cloud resources with human error remaining a top vulnerability
Cloud infrastructure is a prime target for attackers as organizations continue to struggle with securing increasingly complex environments. According to the 2025 Thales Cloud Security Study, four of the top five most targeted assets in reported attacks are cloud-based. The rise in access-based attacks, as reported by 68% of respondents, underscores growing concerns around stolen credentials and insufficient access controls. Meanwhile, 85% of organizations say at least 40% of their cloud data is sensitive, yet only 66% have implemented multifactor authentication (MFA), leaving critical data exposed. Compounding the issue, human error remains a major contributing factor in cloud security incidents, from misconfigurations to poor credential management.
' A rising number of respondents report challenges in securing their cloud assets, an issue that is further amplified by the demands of AI projects that often operate in the cloud and require access to large volumes of sensitive data,' Eric Hanselman, Chief Analyst at S&P Global Market Intelligence 451 Research, said. ' Compounding this issue, four of the top five targeted assets in reported attacks are cloud-based. In this environment, strengthening cloud security and streamlining operations are essential steps toward enhancing overall security effectiveness and resilience.'
For more information, please download the full report and join our webinar hosted by Eric Hanselman, Chief Analyst at S&P Global Market Intelligence 451 Research.
About Thales
Thales (Euronext Paris: HO) is a global leader in advanced technologies for the Defence, Aerospace, and Cyber & Digital sectors. Its portfolio of innovative products and services addresses several major challenges: sovereignty, security, sustainability and inclusion.
The Group invests more than €4 billion per year in Research & Development in key areas, particularly for critical environments, such as Artificial Intelligence, cybersecurity, quantum and cloud technologies.
Thales has more than 83,000 employees in 68 countries. In 2024, the Group generated sales of €20.6 billion.
Cybersecurity Solutions | Thales Group
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
33 minutes ago
- Yahoo
Eli Lilly (LLY) Faces Bearish Options Flow, But Probabilities Tell a Different Story
At first glance, pharmaceutical giant Eli Lilly (LLY) may seem like an awfully risky wager. On Friday, LLY stock fell 2.47%, bringing its year-to-date performance to only 0.45% above parity. For context, the benchmark S&P 500 index — which isn't exactly lighting up the scoreboard — has gained nearly 5% during the same period. As such, the soft return looks rather conspicuous. Further, LLY stock represented one of the entries in Barchart's screener for unusual stock options volume — but not necessarily for good reasons. Following Friday's closing bell, total options volume reached 54,014 contracts, representing a 29.74% lift over the trailing one-month average. Breaking down the details, call volume was 29,060 contracts while put volume stood at 24,954. Jeff Bezos Unloads $5.4B in Amazon Shares: Should You Buy or Sell AMZN Stock Now? Options Flow Alert: Bulls Making Their Move in GOOGL Stock Nvidia: 3 Long Call Plays – One Was Clearly Built for Profit Stop Missing Market Moves: Get the FREE Barchart Brief – your midday dose of stock movers, trending sectors, and actionable trade ideas, delivered right to your inbox. Sign Up Now! The above pairing yielded a put/call ratio of 0.86, which might seem bullish. However, options flow — which focuses exclusively on big block transactions likely placed by institutional investors — revealed that net trade sentiment heading into last weekend was more than $1.6 million below parity, thus favoring the bears. Overall, gross bearish sentiment was $3.409 million below parity while gross bullish sentiment was $1.806 million. Still, it's important to point out that unusual options activity — as useful as it may be — isn't the end-all, be-all to determine the forward trajectory of LLY stock. Indeed, it would be a presuppositional fallacy to take the aberrant data from the derivatives market and assign a probabilistic thesis. Instead, we can turn to market demand profiles to better gauge the current sentiment regime and conduct a statistical analysis on what we can expect in the future. However, to do this exercise requires some rearrangement of market data. Initially, the process of calculating the forward probability of LLY stock (or any security) seems like a straightforward exercise: merely take the frequency of the desired outcome divided by the total number of events in the dataset. However, this exercise only calculates the derivative probability or the outcome odds over the dataset's entire distribution. What we're looking for? We need conditional odds, which are the outcome odds over a specific subset of the data. To use a baseball analogy, derivative probabilities are similar to a player's batting average last season. Conditional probabilities are akin to situational batting averages, such as when there are runners in scoring position (RISP). The latter is a much more useful metric. Unfortunately, you can't just plug in typical financial metrics such as share price or valuation ratios as these figures are continuous. That's why I prefer converting stock price data into market breadth or sequences of accumulative and distributive sessions. Market breadth is functionally binary and by logical deduction is a discrete event. In the past two months, the price action of LLY stock can be converted as a '6-4-D' sequence: six up weeks, four down weeks, with a negative trajectory across the 10-week period. Admittedly, this conversion process compresses LLY's magnitude dynamism into a simple binary code. But the benefit is that this code can be categorized into distinct, discrete demand profiles over 10-week intervals. These profiles can then serve as the basis for past analogs to ultimately extract forward probabilities. Specifically, when the 6-4-D sequence flashes, the price action in the following week (which in this case corresponds with the business week beginning June 30) sees upside 68.42% of the time, with a median return of 2.47%. Should the bulls maintain control of the market over the next three weeks, LLY stock could reach near $812. With the market intelligence above, aggressive speculators may consider the 795/805 bull call spread expiring July 25. This transaction involves buying the $795 call and simultaneously selling the $805 call, for a net debit paid of $555, the most that can be lost in the trade. Should LLY stock rise through the short strike price ($805) at expiration, the maximum reward is $445, or a payout of over 80%. Granted, based on the above numbers, one could theoretically opt for the 795/810 bull spread, also expiring July 25. However, the net debit required is $690, which is a hefty nominal risk, though the payout is enticing at 117.39%. Either way, what makes the above strategies attractive is the implied shift in sentiment regime of the 6-4-D sequence. As a baseline, LLY stock enjoys a strong upward bias, with the chance that a long position will be profitable on any given week clocking in at 60.18%. What the 6-4-D does is to tilt the odds even more in favor of the bullish speculator. You're not going to get that kind of detail or insight from just reading and interpreting unusual options activity. That's why I believe it's important to think in discrete terms rather than attempting to find patterns in continuous signals. On the date of publication, Josh Enomoto did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
35 minutes ago
- Yahoo
New AI tool is better than doctors at diagnosing complicated medical issues, Microsoft says
Microsoft said it is one step closer to 'medical superintelligence' after a new artificial intelligence (AI) tool beat doctors at diagnosing complex medical problems. Tech giants are racing to develop superintelligence, which refers to an AI system that exceeds human intellectual abilities in every way – and they're promising to use it to upend healthcare systems around the world. For the latest experiment, Microsoft tested an AI diagnostic system against 21 experienced physicians, using real-world case studies from 304 patients that were published in the New England Journal of Medicine, a leading medical journal. The AI tool correctly diagnosed up to 85.5 per cent of cases – roughly four times more than the group of doctors from the United Kingdom and the United States, who had between five and 20 years of experience. Related As AI reshapes patient care, human nurses are pushing back against its creeping influence The model was also cheaper than human doctors, ordering fewer scans and tests to reach the correct diagnosis, the analysis found. Microsoft said the findings indicate that AI models can reason through complex diagnostic problems that stump physicians, who specialise in their fields but are not experts in every aspect of medicine. However, AI 'can blend both breadth and depth of expertise, demonstrating clinical reasoning capabilities that, across many aspects of clinical reasoning, exceed those of any individual physician,' Microsoft executives said in a press release. 'This kind of reasoning has the potential to reshape healthcare'. Microsoft does not see AI replacing doctors anytime soon, saying the tools will instead help physicians automate some routine tasks, personalise patients' treatment, and speed up diagnoses. Microsoft's AI system made diagnoses by mimicking a doctor's process of collecting a patient's details, ordering tests, and eventually narrowing down a medical diagnosis. A 'gatekeeper agent' had information from the patient case studies. It interacted with a 'diagnostic orchestrator' that asked questions and ordered tests, receiving results from the real-world workups. Related Is AI going to steal your job? Probably not, new study finds The company tested the system with leading AI models, including GPT, Llama, Claude, Gemini, Grok, and DeepSeek. OpenAI's o3 model, which is integrated into ChatGPT, correctly solved 85.5 per cent of the patient cases, compared to an average of 20 per cent among the group of 21 experienced doctors. The researchers published their findings online as a preprint article, meaning it has not yet been peer-reviewed. Microsoft also acknowledged some key limitations, notably that the AI tool has only been tested for complicated health problems, not more common, everyday issues. Related AI to shape EU health policymaking without new rules The panel of doctors also worked without access to their colleagues, textbooks, or other tools that they might typically use when making diagnoses. 'This was done to enable a fair comparison to raw human performance,' Microsoft said. The company called for more real-world evidence on AI's potential in health clinics, and said it will 'rigorously test and validate these approaches' before making them more widely available.
Yahoo
35 minutes ago
- Yahoo
Why Intel Growth Story May Be Hitting a Wall
June 26 - Intel (NASDAQ:INTC) could be heading into tougher terrain as geopolitical tensions and new export rules weigh heavily on the chipmaker's China-reliant business. While the company continues to promote its AI and foundry ambitions under new CEO Lip-Bu Tan, its fundamental outlook remains fragile amid a shifting regulatory landscape. Taiwan's recent move to include Huawei and SMIC on its Strategic High-Tech Commodities Entity List marks another potential blow. The change effectively blocks the export of semiconductor products to firms without a special license, disrupting Intel's access to Huawei, a key PC customer in China. Huawei's MateBook lineup, powered by Intel Core Ultra processors, saw growing momentum in 2024, but future deliveries may now face delays or compliance hurdles. Warning! GuruFocus has detected 7 Warning Signs with INTC. Intel's dependence on China, where it derived about 29% of its 2024 revenue, primarily through its Client Computing Group (NASDAQ:CCG), exposes it to tightening U.S. and allied export controls. The CCG unit, which accounted for more than 60% of Intel's consolidated sales in Q1, remains a core earnings driver. But any shift in trade policy that restricts sales of mainstream PC chips, even indirectly, could weigh on results. The chip maker is also dealing with wider execution issues. Its combativeness into AI servers through the Gaudi platform lags behind the shark competitor Nvidia (NASDAQ:NVDA), and the enhanced suspension of Falcon Shores chips highlights execution remnants. Meanwhile, the capital requirements of Intel Foundry are high, and it is not completely clear how the solution will be adopted by external customers long-term. The action by Taiwan in July which evoked this move was an attempt to restrict its exports as part of the U.S attempt to restrict the Chinese access to advanced technologies. All these developments echo previous shocks, including the mid-2024 cancellation of Intel export licenses to Huawei that resulted in 30% plunges when its stock failed to meet results in China. There is relatively no response in the market yet, as Intel shares remained around $20 in spite of such accumulating risks. But analysts caution that this complacency will not be sustained. Having weak underlying principles, poor performance of its AI roadmap, and growing headwinds within the regulatory environment, the Intel stock might be subjected to the continuation of its decline. This article first appeared on GuruFocus. Sign in to access your portfolio