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The Future of Machine Learning in Cybersecurity

CIO

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

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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. The AI Risk Repository is a “living database” that’ll be expanded and updated, according to MIT.

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

CIO

Artificial intelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest security cloud.

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5 dead-end IT skills — and how to avoid becoming obsolete

CIO

That means IT veterans are now expected to support their organization’s strategies to embrace artificial intelligence, advanced cybersecurity methods, and automation to get ahead and stay ahead in their careers. Maintaining network devices like routers, switches, and firewalls by hand are examples.”

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Cracking the Code — How Machine Learning Supercharges Threat Detection

Palo Alto Networks

In addition to automation capabilities in cybersecurity, the advancement of artificial intelligence (AI) has sparked both excitement and concern. ChatGPT, a language-based machine learning model, is not exempt from this discussion. We need to build new automation here.’ And we get that feedback.”

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What’s next for network firewalls?

CIO

Firewalls have come a long way from their humble beginnings of assessing network traffic based on appearance alone. Here are six predictions for the future of the firewall. For example, a typical NGFW now may be equipped with firewalling, SD-WAN, a Wi-Fi controller for SD-Branch, an Ethernet controller, and zero-trust functionality.

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Robust Intelligence raises $30M Series B to stress test AI models

TechCrunch

At its core, the mission of Robust Intelligence then is to eliminate these AI mistakes. To do so, the company offers its users what it calls the Robust Intelligence Model Engine (RIME), with what is essentially an AI firewall at its core. Image Credits: Robust Intelligence.

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