There are three key considerations when integrating GenAI , which are availability , system integrity , and privacy . Ensuring these aspects are robustly managed will help mitigate the risks associated with deploying AI systems at scale .
Organisations must adopt a multilayered defence strategy to navigate this complex threat landscape . Here are some critical components :
Red and blue team exercises
Red and blue team exercises simulate realworld cyberattacks , helping organisations uncover vulnerabilities before they can be exploited . For AI systems , these exercises should focus on assessing the robustness of models against harms such as hallucination , bias , and prohibited content like harassment . Organisations can stay ahead of potential threats by continuously evaluating and improving the security and ethical performance of AI systems .
Start leveraging ATLAS
Addressing AI-specific threats is crucial as AI becomes more integrated into business processes . Adversarial Threat Landscape for Artificial-Intelligence Systems , ATLAS is a knowledge base complementary to MITRE ATT & CK that documents real-world adversarial tactics against AI systems . Organisations should use ATLAS to stay informed about these evolving threats and improve their defences against attacks targeting AI technologies .
Zero-trust architecture
Adopting a zero-trust architecture is crucial in today ’ s environment , especially for systems integrating AI . This approach operates on the principle that no entity –
Organisations relying on open-source software must implement vetting processes and use tools to alert them to suspicious activity .
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