Three Use Cases: Consumer, Enterprise, Agentic Coverage

Guest:

• Rick Caccia, CEO and Co-Founder, Witness AI

Topics:

• In what ways is the current wave of enterprise AI adoption different from previous technology shifts? If we say “but it is different this time”, then why?
• What is your take on “consumer grade AI for business” vs enterprise AI?
• A lot of this sounds a bit like the CASB era circa 2014. How is this different with AI? 
• The concept of "routing prompts for risk and cost management" is intriguing. Can you elaborate on the architecture and specific AI engines Witness AI uses to achieve this, especially for large global corporations? 
• What are you seeing in the identity space for AI access? Can you give us a rundown of the different tradeoffs teams are making when it comes to managing identities for agents? 

Resources:

• EP226 AI Supply Chain Security: Old Lessons, New Poisons, and Agentic Dreams
• EP173 SAIF in Focus: 5 AI Security Risks and SAIF Mitigations
• EP84 How to Secure Artificial Intelligence (AI): Threats, Approaches, Lessons So Far
• Witness AI blog
• Shadow Agents: A New Era of Shadow AI Risk in the Enterprise
• Blocking shadow agents won’t work. Here’s a more secure way forward
• Shadow AI Strikes Back: Enterprise AI Absent Oversight in the Age of Gen AI
• Cloud CISO Perspectives: How Google secures AI Agents
• “The Soul of a New Machine” book
• Emoji Attack: A Method for Misleading Judge LLMs in Safety Risk Detection