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Shailaja Shankar outlines Cisco's proactive approach to AI-driven cybersecurity, emphasizing the importance of secure AI innovation. The discussion highlights the growing security challenges organizations face, including AI model poisoning and deepfake-enabled phishing attacks. Cisco's Responsible AI Framework is presented as a key strategy for ensuring trustworthy AI systems.
The conversation also delves into how Cisco integrates security measures from the design phase of AI models, ensuring resilience against evolving cyber threats. Shankar stresses the need for industry-wide AI security frameworks and offers guidance for enterprises to adopt AI while maintaining compliance with security best practices.
• Cisco emphasizes proactive security measures in AI model development.
• The Responsible AI Framework guides Cisco's secure AI innovation.
This framework consists of principles like transparency and accountability that guide secure AI development.
AI Defense protects organizations from threats like data poisoning and ensures model integrity during development.
This refers to attacks aimed at compromising the integrity of AI models, posing significant security risks.
Cisco is a leader in cybersecurity solutions, focusing on integrating AI to enhance security measures.
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