The API industry has always prioritized security, leading to the concept of zero trust as a crucial approach for data protection in 2025.
With the rise of AI, zero trust has become essential due to complex attack vectors relying on AI technologies.
The API security landscape has evolved significantly as public services expanded, necessitating more robust security measures.
Zero trust architecture, based on 'never trust, always verify' principle, emerged as a proactive security model.
Zero trust offers explicit verification, privilege limitation, and continuous monitoring to combat advanced API attacks.
AI advancements have enabled attackers to deploy sophisticated tactics, leading to a surge in AI-powered attacks by 548% estimated by 2030.
Real-world incidents have showcased how AI-powered attacks, such as deepfake audio scams, exploit vulnerabilities and trust assumptions.
Zero trust models, like the one implemented by NTT DATA, have proven successful in mitigating risks and enhancing overall security measures.
Organizations adopting zero trust have reported a 30% reduction in data breaches and overall improved security posture.
As cybersecurity threats continue to grow, zero trust is transitioning from a forward-thinking strategy to a vital necessity for maintaining data security.