Traditional firewalls built on fixed rules and known threat signatures are becoming increasingly inadequate in an environment dominated by AI-driven attacks. Cybercriminals are now using artificial intelligence to create polymorphic malware, self-modifying code that can evade detection, and exploit zero-day vulnerabilities that traditional tools cannot detect. Generative AI also powers social engineering, generating realistic phishing messages and deepfake media that can fool even the most experienced users. Compounding the problem is that attackers are automating their campaigns and executing massive attacks at machine speed, leaving security teams with little time to react. Even the AI systems that organizations deploy to protect themselves are being targeted, making them vulnerable to data poisoning, prompt injection, and model inversion attacks. These developments highlight the urgent need for adaptive, AI-enabled security architectures.
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Anoop Paudval heads Information Security Governance, Risk and Compliance (GRC) at Gulf News, an Al Nisr publication, and is a Digital Resilience Ambassador. With over 25 years of experience in the IT field, he builds cybersecurity frameworks and risk programs that strengthen business resiliency, reduce costs, and ensure compliance. His expertise covers integration across security design, management, manufacturing, media, and publishing.
