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AI in the Enterprise: 5 key findings of AI usage and threat trends

CIO

The surge was fueled by ChatGPT, Microsoft Copilot, Grammarly, and other generative AI tools, which accounted for the majority of AI-related traffic from known applications. Traditional security approaches reliant on firewalls and VPNs are woefully insufficient against the speed and sophistication of AI-powered threats.

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Cracking the Code — How Machine Learning Supercharges Threat Detection

Palo Alto Networks

ChatGPT, a language-based machine learning model, is not exempt from this discussion. While ChatGPT presents promising opportunities in cybersecurity, it also raises ethical considerations. The post Cracking the Code — How Machine Learning Supercharges Threat Detection appeared first on Palo Alto Networks Blog.

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The AI continuum

CIO

ChatGPT has turned everything we know about AI on its head. Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. In many ways, ChatGPT put AI in the spotlight, creating a widespread awareness of AI as a whole—and helping to spur the pace of its adoption. AI encompasses many things.

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Cybersecurity Snapshot: AI Security Roundup: Best Practices, Research and Insights

Tenable

Harden configurations : Follow best practices for the deployment environment, such as using hardened containers for running ML models; applying allowlists on firewalls; encrypting sensitive AI data; and employing strong authentication. governments) “ Security Implications of ChatGPT ” (Cloud Security Alliance)

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For IT leaders, operationalized gen AI is still a moving target

CIO

Plus, when you add in cloud-based gen AI tools like ChatGPT, the percentage of companies using gen AI in one form or another becomes nearly universal. A retail company, for example, might have a 360-degree view of customers, which is all fed into analytics engines, machine learning, and other traditional AI to calculate the next best action.

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2025 is the year of quantum science; what that’s all about

CIO

Data encryption is based on the need to solve extremely complex mathematical equations in order to get past the encrypted firewall. Now it is making a real-world impact with the popularity of AI tools such as ChatGPT. Quantum for everyone might be a tagline, Tisi says. Being able to quickly do so could be a technological tipping point.

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Cybersecurity Snapshot: Building Your Own ChatGPT? Learn How To Avoid Security Risks of AI Models

Tenable

Plus, check out the top risks of ChatGPT-like LLMs. Also, learn what this year’s Verizon DBIR says about BEC and ransomware. Find out why cyber teams must get hip to AI security ASAP. Plus, the latest trends on SaaS security. And much more! Dive into six things that are top of mind for the week ending June 9.