A Security business has issued a caution about the fall of highly personalized, AI-powered digital risks that could substantially increase scams, phishing, and influencing procedures in 2025 and beyond.
” As conceptual AI becomes more integrated into corporations and society, we may stay vigilant. Hyper-personalized attacks and AI subterfuge may necessitate industry-wide cooperation to overcome them. Business leaders should know that computer risks are no longer independent concerns, they are business risks with far-reaching proper implications”, said Ian Felipe, state manager at Trend Micro Philippines.
In the 2025 predictions report from Trend Micro, the development of malignant “digital twins” was emphasized. Bruted or leaked personal information is used to teach large language models ( LLMs) to imitate people’s knowledge, personality, and writing styles. These AI-powered tools, combined with affected biometric data and deepfake video/audio, could lead to identity fraud, imitation, and focused social engineering attacks.
Deepfake technology and AI will help large-scale, hyper-personalized cyberattacks, including increased business email compromise and “fake employee” scams, targeted fiscal scams, including “pig butchering” frauds, AI-driven romance scams that manipulate victims before passing them to human operators, improved open-source intelligence gathering for adversaries, and large-scale disinformation campaigns using fake social media personas.
Additionally, as more and more companies adopt AI, they must be prepared for new security risks, such as a denial-of-service attack resulting from an AI agent hijacking to manipulate or exploit enterprise systems as well as unintended data leaks from generative AI tools and resource consumption.
Memory corruption flaws, API flaws, container escapes, and XSS and SQL injection are other pressing cybersecurity threats. Endpoint detection and response tools will be modified by cybercriminals.
Cyber defenses
To combat these escalating threats, Trend Micro recommends businesses take a proactive, risk-based approach to cybersecurity. Additionally, it recommends using AI for threat intelligence, asset management, and attack path prediction, as well as implementing centralized risk identification and mitigation strategies.
Additionally, the company advised businesses to improve employee training to recognize and respond to cyberattacks involving AI and to implement multi-layered defenses against AI-based threats.
Additionally, it advised the company to improve sandboxing, strict data validation, and protection against prompt injection attacks, ensure supply chain security, implement multi-layered network defenses, and maintain visibility into AI-driven security risks and attack paths. / KOC