Veeam Software highlights growing concerns among organizations regarding AI-related cyber threats. As businesses fail to address security needs adequately, the integrity of large language models is at risk. A significant number of companies face data recovery challenges post-cyberattacks. Veeam maintains a strong market share protecting Microsoft 365 and targets rapid growth in India. The company’s approach focuses on recovery and protection rather than claiming comprehensive security.
Concerns regarding cyber threats, particularly those related to artificial intelligence, are rising among companies. Veeam Software has noted that while businesses are worried about security risks from AI, they may not fully comprehend the necessary precautions. Eswaran emphasized the importance of safeguarding large language models (LLMs) to prevent fraudulent activities that could lead to misinformation and negative consequences for users. Open and publicly available AI models must undergo continuous evaluation to maintain integrity. Failure to do so could result in the proliferation of flawed models that could cause significant issues such as bias in critical areas, including financing processes like loan approvals. Veeam Software specializes in data resilience solutions, focusing on backup, recovery, security, and intelligence for their enterprise clients. In the Asia Pacific and Japan region, 29% of organizations impacted by cyberattacks were unable to recover their data, even after paying ransoms. Despite the challenges, Veeam has a significant portion of the market, claiming a 40% share in protecting Microsoft 365 from threats like phishing, noting that only a small percentage of users worldwide are currently safeguarded. Founded in 2006 and acquired by Insight Partners in 2020, Veeam has steadily increased its revenue, reporting $1.5 billion in 2023 and projecting over $2 billion for the following year. The company caters to major clients in India, focusing on expanding its market presence and utilizing vast amounts of data generated through ongoing digital transformations in the region. Eswaran remarked that no single firm can ensure complete security coverage, as each organization addresses different segments of the security landscape. Veeam distinguishes itself by emphasizing recovery, protection, data portability, and intelligence, rather than claiming to offer end-to-end security solutions. In summary, India stands out as a key growth market for the company, with continuous investment planned for resources, research, and development. Veeam’s competitive performance has seen it rise to a position of leadership, surpassing major industry players.
In the context of rising cyber threats, especially pertaining to the deployment of artificial intelligence technologies, companies must be cognizant of the security measures required to protect their data and systems. Veeam Software emphasizes the importance of safeguarding artificial intelligence models to prevent the introduction of faulty data or scenarios that could result in harmful outcomes such as bias and discrimination. As businesses increasingly rely on digital solutions, particularly in the Asia Pacific and Japan region, the vulnerabilities associated with inadequate security measures become more evident, with recovery from cyber incidents proving challenging for many organizations.
In conclusion, the urgency for effective security measures in the realm of artificial intelligence is paramount, as companies navigate the complexities of data protection in a rapidly transforming digital landscape. Veeam Software’s insights underscore the critical need for organizations to innovate in data resilience strategies to safeguard themselves from the evolving array of cybersecurity threats, especially considering the influential role of AI. As Veeam continues to enhance its offerings and expand its client base, it highlights the interconnected challenges and opportunities in the security sphere, particularly within the promising growth market of India.
Original Source: m.economictimes.com
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