The AI Summit at Black Hat USA

Are you feeling overwhelmed by the rapid evolution of AI?

Are you tired of being bombarded with questions about AI?

Are you trying to figure out where to start and how to protect your organization in the new landscape?

• Identify key vulnerabilities and security challenges within AI systems
• Discuss common attack vectors targeting AI
• Establish best practices for secure AI development and deployment
• Discuss ethical considerations in securing AI technologies
• Navigate the complexities of adversarial AI threats

• Debate the trade-offs between innovation in AI and security risks
• Strategies to foster innovation while maintaining robust security postures
• Insights from industry leaders on managing risk in an AI-centric world
• Strategies for achieving an optimal balance between accelerating innovation and protecting AI systems
• Real-world scenarios where businesses have successfully navigated the balance between risk and innovation in AI-driven security

• Successful AI integration in national security
• Future challenges in AI-driven cybersecurity strategies
• Collaborating with the private and public sector

• Forecast AI's trajectory in cybersecurity over the next five years
• Proactive planning for the next five years in cybersecurity strategy
• Navigate the intersection of AI technologies and cyber defence
• Assess the impact of rapid AI evolution on long-term security planning, compliance challenges

• Overview of recent advancements in AI technology applied to cyber risk management
• Leveraging AI for enhanced situational awareness in security operations
• Case studies and real-world examples

• Analyze AI’s dual role in cybersecurity both a protective shield and a proactive weapon against threats
• Evaluating AI's impact on the evolution of cyber threats
• Discuss real-world success stories where AI has been pivotal in preventing cyber threats
• Debate the ethical implications and responsibilities of using AI for defensive and offensive cyber strategies
• Leverage AI to uncover new opportunities for cyber protection

• The proactive role of genAI in anticipating and neutralizing attacks
• Challenges in integrating genAI with existing critical infrastructure security protocols
• Responsible use of genAI in protecting public and private sectors
• Learning from the frontlines
• Predications on how genAI will continue to transform cybersecurity defenses

• Examining case studies of predictive analytics preventing cyber breaches
• Leveraging AI for enhanced situational awareness in security operations
• Overcoming challenges in data quality and availability for AI applications
• Future trends in deep learning for cybersecurity defense mechanisms

• Navigating the legal framework surrounding AI in cybersecurity
• Discussing strategies for bridging the gap between AI deployment in security and regulatory requirements
• Ensuring AI cybersecurity solutions comply with global standards, highlighting best practices
• Balancing innovation with global data protection and privacy regulations
• The role of international cooperation in setting AI cybersecurity regulations
• Adapting organizational policies to keep pace with regulatory changes

• Explore the legal challenges posed by generative AI in privacy programs
• Understand the scope of user data requests in the context of GenAI
• Best practices for incident response planning in case of privacy breaches involving GenAI
• Proactive strategies to mitigate privacy risks associated with GenAI

• Exploring quantum computing’s potential to both compromise and enhance cybersecurity
• Analysis of the vulnerabilities that quantum computing poses to current cryptographic standards
• Updates on the finalization of Post-Quantum Cryptography standards, and the benefits of PQC utilization to secure National Security Systems
• Review of the timeline of quantum advancements and the urgency for proactive cyber defense strategies