September 17, 2024 at 10:21AM
The security landscape faces an unknown challenge: adversarial use of AI. BlackBerry’s whitepaper delves into AI and its threat, including deepfakes, gen-AI malware, and phishing. The paper stresses the need for effective AI detection and prevention systems to counter the evolving AI threats and the urgency of global, societal solutions.
From the provided meeting notes, the key takeaways are as follows:
1. **Adversarial Use of AI**: The security landscape faces an upcoming challenge from the adversarial use of AI, particularly in the form of deepfakes and advanced malware. The potential impact of AI in giving attackers a new advantage is a significant concern.
2. **Understanding AI and Its Threats**: There is a consensus on the need to comprehend AI and its potential threats. The expansion of AI capabilities, including text-to-image and text-to-video generation, poses challenges for current security measures.
3. **AI Threats Classification**: The discussion highlights the categorization of AI threats, emphasizing the distinctions between malware, deepfakes, and phishing attacks. Deepfake and AI-improved phishing are identified as major concerns, with the potential for mass production and sophistication through gen-AI models.
4. **Mitigating the AI Threat**: Efforts are being made within the security industry to develop and enhance solutions for AI and deepfake attack detection. However, the need for a global, societal solution based on verified trust is highlighted as essential to countering the threats effectively.
These takeaways reveal the urgency of staying ahead of the evolving landscape of AI-driven cybersecurity threats and the need for comprehensive, collaborative solutions informed by verified trust.