Sanjay Kalra of Zscaler and Randy DeFauw of Amazon Web Services explore the hidden dangers of generative AI security—from invisible text manipulation and deep fakes to data poisoning and dark AI models—while offering practical strategies for protecting your enterprise in this era of generative AI.

Topics Include:

• AI security threats grouped into data, malicious use, trust/safety
• Data security critical for SaaS-based AI services
• Model training data vulnerable to poisoning and manipulation
• GenAI lacks traditional data deletion capabilities
• Access controls difficult once data becomes model embeddings
• Prompt injection attacks becoming widespread, with libraries available online
• Deepfake scams increasing in sophistication and frequency
• AI enhancing phishing attacks with better written content
• Dark AI models emerging specifically for malicious purposes
• Model hallucinations being exploited for security attacks
• AI accelerating analysis of stolen data
• Shadow AI usage by employees poses security risks
• Existing vendor AI integration creating unexpected security challenges
• Fine-grained access controls essential for AI applications
• PII protection critical in both inputs and outputs
• Comprehensive prompt and response logging necessary
• Invisible text manipulation emerging in resumes and RFPs
• Model fine-tuning can compromise built-in security guardrails
• Multi-language inputs create new security considerations
• Competition-sensitive content requires careful AI management
• AI firewalls needed for input/output monitoring
• Regular security testing required for AI models
• AI compliance standards emerging globally
• Multi-modal AI creating new security challenges
• Browser isolation helping control AI application usage

Participants:

• Sanjay Kalra – Product Management at Zscaler
• Randy DeFauw – Senior Principal Solutions Architect, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

This illuminating conversation with CyberArk's SVP of Finance, Nili Serr-Reuven, reveals how the 25-year-old cybersecurity leader successfully transformed from a traditional software company to a SaaS business model in just five quarters - far faster than the industry standard of 2-2.5 years - while maintaining strong margins and customer trust throughout the transition.

Topics Include:

• Introduction to SaaS transformation challenges and opportunities.
• Tomaz Perc introduces Nili Serr Reuven from CyberArk.
• Overview of CyberArk's 25-year history and milestones.
• Transition from a perpetual model to SaaS.
• CyberArk's accelerated transformation in just five quarters.
• Challenges of shifting from product-centric to customer-centric.
• Importance of market research and peer consultations.
• Key role of cross-functional collaboration in success.
• Explanation of "swallowing the fish" in SaaS.
• Managing short-term revenue drops during SaaS transformation.
• CyberArk's 70% SaaS revenue share post-transformation.
• Impact of global economic challenges on business strategy.
• CyberArk's robust demand for identity security solutions.
• Strategic leadership's role in transformation execution.
• CyberArk's disciplined financial planning during uncertainty.
• Establishing KPIs like ARR and customer satisfaction.
• Managing rising cloud costs with FinOps practices.
• CyberArk's approach to pricing and packaging SaaS solutions.
• Leveraging acquisitions to speed up SaaS capabilities.
• Impact of transformation on CyberArk's finance department.
• Evolution of finance roles to support SaaS growth.
• Communication with investors during transformative periods.
• The importance of cultural shifts in transformation success.
• Continuous learning, transparency, and collaboration as cornerstones.
• Advice for future SaaS leaders: plan, communicate, adapt.

Participants:

• Nili Serr Reuven – SVP Corporate Finance, CyberArk
• Tomaz Perc – SaaS Business Lead, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

Soumya Banerjee, Associate Partner at McKinsey and Company, shares a comprehensive data-driven exploration of how generative AI is transforming the cybersecurity landscape, revealing emerging threats, organizational challenges, and strategic opportunities for security professionals.

Topics Include:

• AI's transformative potential in cybersecurity
• Survey of 500 cybersecurity professionals
• Generative AI's impact on security landscape
• Rising sophistication of phishing attacks
• Threat actors leveraging generative AI
• Deepfake technologies circumventing biometric controls
• Cybersecurity companies' valuation and growth
• Platform versus point solution debates
• Expanding cybersecurity attack surfaces
• Cloud security emerging as top priority
• AI use cases in threat detection
• Generative AI risks for organizations
• Securing AI investments and budgets
• Data protection and sensitive information challenges
• Regulatory scrutiny of AI technologies
• Talent gaps in cybersecurity sector
• Evolving cyber insurance risk models
• Identity and access management trends
• API and machine identity security
• LLM prompt and data protection
• Enterprise strategies for AI adoption
• Emerging technologies for cybersecurity defense
• Partnerships between cybersecurity vendors
• Disclosure risks in generative AI
• Future of cybersecurity technology landscape

Participants:

· Soumya Banerjee – Associate Partner at McKinsey and Company

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/