

The rapid evolution of AI has introduced both unprecedented opportunities and critical security risks. As cyber threats become more sophisticated, organizations must shift from reactive security measures to proactive, AI-driven defenses. Traditional security models struggle to keep pace with these dynamic threats, making intelligent automation essential for modern cybersecurity strategies.
With AI’s growing role in security, organizations face new challenges, including adversarial attacks, data poisoning, and governance risks. By 2027, Gartner predicts that 40% of AI-related data breaches will stem from the misuse of generative AI, highlighting the urgent need for robust security frameworks. Without strategic safeguards, enterprises risk exposing their AI models to vulnerabilities that attackers can exploit.
This white paper explores:
The rapid evolution of AI has introduced both unprecedented opportunities and critical security risks. As cyber threats become more sophisticated, organizations must shift from reactive security measures to proactive, AI-driven defenses. Traditional security models struggle to keep pace with these dynamic threats, making intelligent automation essential for modern cybersecurity strategies.
With AI’s growing role in security, organizations face new challenges, including adversarial attacks, data poisoning, and governance risks. By 2027, Gartner predicts that 40% of AI-related data breaches will stem from the misuse of generative AI, highlighting the urgent need for robust security frameworks. Without strategic safeguards, enterprises risk exposing their AI models to vulnerabilities that attackers can exploit.
This white paper explores:
The rapid evolution of AI has introduced both unprecedented opportunities and critical security risks. As cyber threats become more sophisticated, organizations must shift from reactive security measures to proactive, AI-driven defenses. Traditional security models struggle to keep pace with these dynamic threats, making intelligent automation essential for modern cybersecurity strategies.
With AI’s growing role in security, organizations face new challenges, including adversarial attacks, data poisoning, and governance risks. By 2027, Gartner predicts that 40% of AI-related data breaches will stem from the misuse of generative AI, highlighting the urgent need for robust security frameworks. Without strategic safeguards, enterprises risk exposing their AI models to vulnerabilities that attackers can exploit.
This white paper explores: