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THE THREAT On October 15th, 2025, F5 disclosed that the organization was impacted by a breach involving an unspecified state-sponsored threat actor. The threat actors were…
THE THREATOn October 4th, 2025 Oracle released a security advisory addressing a critical, zero-day vulnerability impacted its E-Business Suite (EBS), identified during their investigation…
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Organizations are racing to adopt AI to remain competitive, but this transformation is exposing critical security gaps. From prompt injection attacks and model poisoning to data leakage through unauthorized AI tools, the threat landscape has evolved faster than most security programs.
The challenge is compounded by "Shadow AI" – employees using unapproved public AI tools without proper oversight, creating significant data exposure risks.
With traditional security frameworks designed for conventional threats, CISOs face mounting pressure to both enable innovation and protect their organizations from AI-specific attack vectors like adversarial inputs, algorithmic bias, and model theft.
To bridge this gap, security leaders need a comprehensive framework that balances rapid AI adoption with rigorous cyber risk management – one that positions security as a business enabler rather than a barrier to innovation.
Our new comprehensive guide on CISO-Led AI Transformation Readiness offers a strategic framework for enabling safe AI adoption across organizations. Inside, you'll find:
Download this guide to learn how to lead AI transformation securely, giving your organization the confidence to innovate at speed while managing the unique risks that AI introduces.
Organizations are racing to adopt AI to remain competitive, but this transformation is exposing critical security gaps. From prompt injection attacks and model poisoning to data leakage through unauthorized AI tools, the threat landscape has evolved faster than most security programs.
The challenge is compounded by "Shadow AI" – employees using unapproved public AI tools without proper oversight, creating significant data exposure risks.
With traditional security frameworks designed for conventional threats, CISOs face mounting pressure to both enable innovation and protect their organizations from AI-specific attack vectors like adversarial inputs, algorithmic bias, and model theft.
To bridge this gap, security leaders need a comprehensive framework that balances rapid AI adoption with rigorous cyber risk management – one that positions security as a business enabler rather than a barrier to innovation.
Our new comprehensive guide on CISO-Led AI Transformation Readiness offers a strategic framework for enabling safe AI adoption across organizations. Inside, you'll find:
Download this guide to learn how to lead AI transformation securely, giving your organization the confidence to innovate at speed while managing the unique risks that AI introduces.
Get The Guide