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Implications of generative AI for enterprise security

CIO

Providing sensitive information to Generative AI programs such as personally identifiable data (PII), protected health information (PHI), or intellectual property (IP) needs to be viewed in the same lens as other data processor and data controller relationships. As such, proper controls must be in place.

Security 774
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2 Innovations That Can Tip the Balance in Cybersecurity

CIO

Army Major General and Vice President and Federal Chief Security Officer for Palo Alto Networks What critical innovations can change the balance in cybersecurity, providing those of us responsible for defending our organizations with more capabilities against those who would do us harm? They are: Innovations in automation.

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Microsoft and Cognizant team up to boost enterprise Copilot adoption

CIO

Generative AI can be a game-changer for virtually every business in every industry, opening up new possibilities for innovation, efficiency and growth,” Ravi Kumar S, the CEO of Cognizant, said in a news release. This partnership provides CIOs with access to AI tools that can greatly accelerate innovation and improve customer experiences.”

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Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO

We see that the majority of AI/ML traffic is being driven by manufacturing, which may offer a glimpse into the rapid innovation and transformation driven by Industry 4.0. The release of intellectual property and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data.

Security 834
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When your AI chatbots mess up

CIO

Chatbots are almost like a living organism in that they are continually iterating, and as they ingest new data,” says Steven Smith, chief security architect at Freshworks. For engineers, AI-generated code used in software development may contain security vulnerabilities or intellectual property ingested during training.

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Generative AI and the Transformation of Everything

CIO

Generative AI is an innovation that is transforming everything. The implications for enterprise security For most enterprises, the present moment is an educational process. That data leakage is the principal security concern regarding generative AI of enterprises today. At least, not yet.

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Exploring the pros and cons of cloud-based large language models

CIO

However, cloud-native application development can pose significant security risks as developers are often dealing with exponentially more cloud assets across multiple execution environments. Filter Bypass: LLM tools are typically built with security filters to prevent the models from generating unwanted content.