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Critical security security security security, which could allow attackers to easily access private data, serves as a demonstration of real security risks of generative AI. The good news is that while CEOs are above AI, professionals urge to invest more investment in security and privacy, they show studies.
Microsoft’s vulnerability, called Echoleak, was listed as the CVE-2025-32711 in the Nist Nist database, which gave the ceased score of the severity of 9.3. According to Look Labs, which discovered echoleak and shared its research with the world last week, the defect of “zero click” could automatically allow the sensory and ownership information from the M365 Co-Context without using any specific behavior of victims. “
The echoleak serves as a awakening for the sectors that the new AI methods also bring with them new offensive surfaces and thus new security injuries. While no one seems to have been damaged by echoleak, Microsoft, the attack is based on “general deficiencies of design that exclude in other ragal applications and AI agents”, Love Labs statistics.
These concerns are reflected in a number of studies published in the last week. For example, a survey of more than 2,300 higher Genai creators published Deday Data by Deday that “while CEO and leadership of enterprises are determined to adopt Genai, CISO and Operating Leaders the necessary instructions, clarity and resources to fully deal with the challenges of infrastructure associated with deployment”.
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The NTT data has found that 99% of C-Suite manager “plans to invest Genai in the next two years, with 67% of the importance of planning CEOs”. Some of these funds will go to cyber security, which was cited as the highest investment priority for 95% CIO and CTO, the study said.
“Yet, even is this optimism, there is a remarkable disconnection between strategic ambitions and an operational design with almost half the EM (45%) expressing negative feelings about Genai adoption,” NTT data said. “More than half (54%) CISO claims that internal instructions or policy regarding Genai responsibility are unclear, but only 20% of CEO shares the same concerns – reveals a significant gap in a powerful balance.”
The study found that further disconnection between the hopes of Genai and dreams of higher UPS and the hard reality of those closer to Earth. Almost two -thirds of Cis say that their teams “lack the necessary skills for working with technology”. What’s more, only 38% CISO claims that their Genoi and Cyber Security Strategy is harmonized compared to 51% of CEOs, NTT data found.
“As organizations accelerate adoption in Genai, cyber security must be enshrined from the outset to strengthen resistance. While the innovation of Master CEOs, ensuring a smooth cyber security and business strategy is decisive in alleviating the emerging risks,” said Sheetal Mehta, head of Vice President and Cyber data in NTT. “A safe and scalable approach to Genai requires proactive alignment, modern infrastructure and trusted joint innovation to protect businesses from the discovering threats and at the same time unlock the full potential A.
Another study published today, this study from Nutanix, found that leaders in public sector organizations want more security investments when they accept AI.
The latest study of the Enterprise Enterprise Cloud Index (ECI) has found that 94% of the public sector organizations are already receiving AI, for example for generating content or chatbots. When they modernize their IT system for AI, leaders want their organizations to invest in security and privacy.
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ECI suggests that “must be a significant love for work to improve the basic levels of second/government data needed to support the implementation and success of Genai solving,” said Posanix. The good news is that 96% of the survey respondents agreed that security and privacy with Genai became higher priorities.
“Generative AI is not a long future concept that transforms it as we work,” said Greg O’Connell, vice president for the federal sale of the public sector in Nasenix. “Given that the public sector’s head of the sector is trying to see the results, it is now time to invest in and data security, privacy and training to ensure long -term success.”
Meanwhile, people over Cybernews-Oh Eastern European Security Intelligence with their own team of white hats scientists-analyzes the publicly oriented website of companies throughout the Fortune 500 and found that all of them were using or others.
The Cybernews Research project, which used the Deep Research model for Google Gemini 2.5 text analysis for Deep Research, has made some interesting findings. For example, he found that 33% of the Fortune 500 claim to use AI and large data to analyze, recognize and optimize pattern, while about 22% use AI for specific trade functions such as inventory optimization, predictive maintenance and customer service.
The research project found that 14% developed proprietary LLM, such as Walmart’s Wallaby or Saudi Aramco’s metabrain, while about 5% use LLM services from third -party providers such as OpenI, Deepseek AI, Anthropic, Google and others.
Although the use of AI is now ubiquitous, corporations do not do enough to alleviate the risks of AI, the company said.
“While large companies jump quickly into the AI car, part of the risk management lags behind,” said Aras Nazarovas, head of Cybernews, head of June 12. “Companies are left exposed to new risks associated with AI.”
These risks range from data security and data leaks that Cybernews said that it is the most common security problem, to other concerns such as fast injection and model poisoning. New injuries created in algorithmic bias, IP theft, uncertain output and overall lack of transparency end the list.
“As companies begin to struggle with new challenges and risks, it will probably have significant consequences for consumers, industries and the wider economy in the coming years,” Nazarovas said.
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(Tagstotranslate) Risk AI