The Role of Generative AI and Blockchain Use in the Leading Cybersecurity Challenges Identified by Trend Micro for 2025

Trend Micro, an American leader in cybersecurity, highlighted five significant security threats for 2025, which encompass issues like cloud-native worms, data manipulation affecting ML/AI systems, supply chain intrusions, and advanced social engineering scams supported by blockchain exploitation. generative AI The cybersecurity firm warns that the rapid evolution of generative AI is paving the way for new types of cyber threats, with ransomware continuing to climb the charts of severity, focusing increasingly on data theft. At the same time, supply chains encounter escalating risks from cybercriminals.

For instance, British cybersecurity firm Sophos released two informative reports that delve into the incorporation of cutting-edge technology. cybercriminals In the first study, dubbed 'The Dark Side of AI: Large-Scale Scam Campaigns Powered by Generative AI,' Sophos explains how scammers might utilize tools like ChatGPT to carry out extensive fraud schemes in the future, all while needing minimal technical expertise.

It's evident that the capacity for bad actors to utilize generative AI for large-scale deception is unprecedented. AI in cybercrime Trend Micro has listed five pressing cybersecurity threats that organizations must urgently address as they look towards 2025.

Cloud-Native Worms Targeting Cloud Solutions generative AI These cloud-native worms that specifically target cloud platforms harness automation—a crucial weapon for cybercriminals—to spread swiftly and inflict damage across cloud infrastructures. The frequent misconfigurations and vulnerabilities present in these environments are expected to lead to a rise in both the occurrence and severity of such attacks. The interconnectedness of cloud systems creates a perfect venue for these worms to proliferate, making it a daunting challenge for cybersecurity experts to contain them.

Exploiting Data in Machine Learning and AI Systems

Data poisoning is a significant threat where cybercriminals take advantage of weaknesses in training datasets to undermine AI models' reliability. Such manipulation can lead to serious repercussions such as data theft, extortion, and sabotage, greatly escalating the threat level of these breaches. By infiltrating and poisoning the training datasets, malicious actors can severely compromise the performance of machine learning and AI models, which pose serious risks for organizations depending on these technologies for crucial operational decisions. cloud More recently, supply chain attacks focused on Continuous Integration/Continuous Delivery (CI/CD) platforms have become a favored tactic among cybercriminals due to the extensive access they provide to multiple potential victims. By infiltrating the software development pipeline, attackers can introduce harmful code that jeopardizes entire IT architectures, impacting a multitude of interconnected entities.

Social Engineering Schemes Enhanced by Generative AI

Emerging social engineering schemes fueled by generative AI bring an innovative twist to conventional phishing tactics by employing advanced techniques to craft highly convincing counterfeit communications. With messages that boast a remarkable level of realism, these scams heighten the chances of successful deception attempts, such as business email compromise (BEC). As generative AI technology progresses, the risk of creating sophisticated audio and video deepfakes further complicates the security landscape, making it a complex issue for cybersecurity experts to identify and defend against these threats. cyber-attacks While blockchain exploitation has yet to become widespread, it is an emerging issue as private blockchains are increasingly adopted for managing internal financial transactions. Cybercriminals may target weaknesses in these systems to gain unauthorized access and launch extortion activities. As companies adopt private blockchains for their security features, they must stay alert to potential vulnerabilities and enforce stringent security measures to protect sensitive financial data from exploitation.

Supply Chain Attacks on CI/CD Systems

Given the escalating sophistication of these threats, organizations should concentrate on comprehensive protection throughout every phase of the attack lifecycle, implementing multifaceted security protocols based on solid threat intelligence.

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Kumar is a seasoned Tech Journalist specializing in the dynamic intersections of AI/ML, marketing technology, and emerging fields like cryptocurrency, blockchain, and NFTs. With three years of industry experience, Kumar has crafted notable narratives, conducted insightful interviews, and delivered thorough analysis. His expertise lies in developing impactful content, including articles, reports, and research papers for leading platforms within the industry. Blending technical knowledge with storytelling prowess, Kumar successfully communicates complex technological concepts to a diverse audience in an engaging and understandable manner. AI algorithms Cryptocurrencylistings.com Launches CandyDrop to Simplify the Acquisition of Cryptocurrency and Boost User Engagement with Quality Projects

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