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Modern Network Security: How Technology and Smart Practices are Reducing Risk

CIO

For networking security leaders, too many blind spots in their network security operations means too many vulnerabilities. With the shift to hybrid work, data, applications, intellectual property, and personal information is no longer stashed safely behind a corporate firewall. Network Security

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

CIO

Between our research and dozens of conversations with customers and partners, there are a number of trends that we can expect to see this year, in 2024, and onward. 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 803
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IT Hardware Startups Turn to Data Analytics for Market Research

Smart Data Collective

One of the biggest ways that data analytics is changing marketing is that it can help with marketing research. Startups require a solid foundation founded on extensive market research to flourish in this volatile climate. Protect Intellectual Property Intellectual property (IP) is a significant asset in the tech hardware business.

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Microsoft and Cognizant team up to boost enterprise Copilot adoption

CIO

That’s why we are investing $1 billion in generative AI over the next three years and leading the development of new research to explore its potential for our clients, their employees, and end customers.” The announcement comes amid reluctance among some CIOs regarding the ROI of generative AI copilots.

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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.

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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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How to kick-start your generative AI strategy

CIO

So says Andrew McAfee, principal research scientist at the MIT Sloan School of Management. Among their biggest concerns: exposing intellectual property through publicly available generative AI models, revealing the personal data of users to third-party vendors or service providers, and securing the AI itself from criminal hackers.