👨‍💻 How CISOs are dealing with the rise of GenAI

Happy holidays!

Highlights from this week’s issue of DTP: 

• News roundup: Concerns Chief Information Security Officers have with GenAI. 

• The latest from Andrew Ng on AI for Business. 

• Recent funding rounds by AI startups. 

🌐 AI Weekly News Roundup 

4 ways CISOs can manage AI use in the enterprise 

Strategies around Gen AI for CISOs involve employee training, monitoring AI traffic, sandboxing, and future AI firewall implementations. Government regulation discussions and the emergence of a Chief AI Officer role reflect the evolving landscape in managing AI for enterprise security and growth. 

GenAI is turning the cybersecurity landscape—and the CISO role—on its head 

Generative AI transforms cybersecurity dynamics, impacting the CISO role. At Fortune Brainstorm AI, experts highlighted its dual impact on defense and attacks. CISOs face rapid changes, needing innovative solutions and governance skills. Concerns about CISO shortages and evolving liability raise discussions about a potential role split. Developing defenses against AI-generated threats remains ongoing. 

Flashback (Aug): CIOs are worried about the informal rise of generative AI in the enterprise 

CIOs express concern over the pervasive adoption of generative AI tools like OpenAI’s ChatGPT, raising worries about uncontrolled usage across enterprises. This informal integration poses risks such as IP infringement, data leakage, and privacy breaches. Security measures and governance frameworks are urged to mitigate these risks, emphasizing policy incorporation, enhanced security protocols, and regulatory compliance. 

💼 AI in Business 

AI Is Transforming Businesses (HBR interview with Andrew Ng)

Harvard Business Review spoke with leading AI expert and head of Google Brain, Andrew Ng this week. Lots of pertinent insights from the conversation that we’ve compiled for you below. Here’s what he had to say: 

• General Purpose Technology: The conversation emphasizes AI's status as a general-purpose technology applicable across multiple industries, not confined to a single field. It's likened to the transformative impact of electricity, providing opportunities across various sectors. 

• AI and Task Automation: AI is seen more as automating tasks within jobs rather than entire job roles. The analysis focuses on identifying specific tasks within professions that can be automated, leading to increased productivity while not entirely replacing human roles. 

• Impact on Industries: Examples are provided, such as in radiology, where AI automates certain tasks but doesn't entirely replace radiologists. The same principle applies in sectors like contact centers, where AI-driven automation significantly reduces costs by handling repetitive tasks. 

• Rate of Progress in AI: The interview touches upon the rate of progress in AI, highlighting that scaling neural networks and increasing data and compute power continue to drive advancements. The conversation also acknowledges the diverse innovations within large language models. 

• Consumer Applications of Generative AI: While acknowledging advancements like ChatGPT, Adobe's generative AI product, and applications in contact centers and legal/healthcare settings, the interview highlights the ongoing exploration and slow but steady emergence of consumer applications leveraging generative AI.  

• Business Adoption and Experimentation: Despite the high percentage of developers using AI APIs, the adoption rate of AI projects within corporate departments is at 19%, signaling both significant experimentation and a potential for faster uptake compared to previous technological waves like cloud and mobile. 

💻 Platform Highlight 

Harvey: GenAI platform for Law Firms. Recently raised $80m 

Redactable: AI-driven web application designed for redacting sensitive documents. Raised $5.5m in seed funding 

Ritual: Decentralized AI platform that acts as a network for open AI infrastructure. Raised $25m in seed funding. 

💬 Social Highlight 

What statistical analysis are you currently doing in work? A Reddit thread.

“I really hope that these recent findings about LAION will be the catalyst for changing the way we collect, curate and use datasets in AI.” A Twitter thread. 

🤖 Prompt of the week 

Act as a machine learning expert and build a [collaborative filtering model] that recommends [products] to [customers] based on their [purchase history].

See you next week, 

Mukundan

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