Cybersecurity threats in 2025 have become more sophisticated, with malware leveraging AI, evasion tactics, and polymorphic code. Data-stealing malware dominates, increasing by 180% in 2024. New ransomware tactics include triple extortion via data encryption, leak threats and launching DDoS attacks. Signature-based detection is failing against 45% of zero-day and polymorphic threats, necessitating the usage of behavioural analytics and AI-driven tools. Cloud services and IoT devices remain vulnerable, with 32% of breaches due to misconfigured cloud services. Practical incident response coupled with AI-driven defenses remain critical to combatting these threats.
AI Security Frameworks – Ensuring Trust in Machine Learning
As AI evolves, strong security frameworks are essential. The NIST and ISO have established comprehensive guidelines for risk management in AI systems. The EU’s AI
