technologies could further strengthen user autonomy over their information .
Increasing political polarisation is expected to exacerbate cyberbullying in 2025 . Social media algorithms that amplify divisive content , combined with the widespread availability of AI tools for creating deepfakes and doctored posts , are likely to intensify online harassment .
Cross-border cyberbullying could also escalate as global platforms facilitate the targeting of individuals based on their political beliefs .
As the global economy shifts further towards subscription-based models , a rise in fraud related to fake subscription promotions is expected . Cybercriminals
Anna Larkina , Privacy Expert , Kaspersky are expected to create counterfeit services that mimic legitimate platforms , aiming to deceive users into providing personal and financial information , resulting in identity theft and financial losses .
Individuals may gain the right to monetise their data , transfer it easily across platforms , and benefit from simplified consent .
Business and security must strike balance between innovation and security
In the coming year , companies will face mounting pressure to secure AI initiatives at scale while safeguarding a growing range of data assets from cyber threats . Organisations must understand that data is the fuel driving their business , it enables insights , fosters collaboration , and powers innovation . As AI adoption skyrockets and data storage demands grow ,
Liat Hayun , VP Product Management and Cloud Security Research , Tenable
safeguarding distributed data has never been more critical .
As we head into 2025 , business leaders and security teams must strike a careful balance between innovation and security , ensuring that AI initiatives do not inadvertently open new doors for cyberattackers .
In 2025 and beyond , we will see more organisations incorporating AI into their infrastructure and products as the technology becomes more accessible . This widespread adoption will lead to data being distributed across a more complex landscape of locations , accounts and applications , creating new security and infrastructure challenges .
In response , CISOs will prioritise the development of AI-specific policies and security measures tailored to these evolving needs . Expect heightened scrutiny over vendor practices , with a focus on responsible and secure AI usage that aligns with organisational security standards . As AI adoption accelerates , ensuring secure , compliant implementation will become a top priority for all industries .
As data volumes grow and become more distributed across multi-cloud environments , the risk of data breaches will rise significantly . With AI tools relying on vast amounts of customer data , cybercriminals will have more opportunities to target these systems , making data exfiltration and
Widespread adoption of AI will lead to data being distributed across locations , accounts , applications , creating new challenges .
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