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Generative AI: Balancing security with innovation

CIO

The speed at which artificial intelligence (AI)—and particularly generative AI (GenAI)—is upending everyday life and entire industries is staggering. Whether it’s deep fakes or simply more sophisticated phishing attempts, AI is making it easier to steal identities and ramping up the need for more accurate, faster authentication.

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Why CIOs back API governance to avoid tech sprawl

CIO

But APIs do more than support next-generation technologies — they already serve a foundational purpose within most enterprises. Karl Mattson, field CISO at Noname Security, an API security solution, says APIs are the foundation of nearly every CIO’s strategic plans to deliver business value.

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Cybersecurity Snapshot: CISA Tells Tech Vendors To Squash Command Injection Bugs, as OpenSSF Calls on Developers To Boost Security Skills

Tenable

Plus, the Linux Foundation and OpenSSF spotlight the lack of cybersecurity expertise among SW developers. Meanwhile, GenAI deployments have tech leaders worried about data privacy and data security. Cybersecurity and Infrastructure Security Agency (CISA) and the FBI in an alert published this week. “OS

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The cyber pandemic: AI deepfakes and the future of security and identity verification

CIO

Security and risk management pros have a lot keeping them up at night. The era of AI deepfakes is fully upon us, and unfortunately, today’s identity verification and security methods won’t survive. Then, you can develop a strategy that integrates advanced technologies to help you prevent (not just detect) them.

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How the new AI executive order stacks up: B-

CIO

The White House’s new executive order, “ Safe, Secure, and Trustworthy Artificial Intelligence ,” is poised to usher in a new era of national AI regulation, focusing on safety and responsibility across the sector. But will it? The executive order represents the U.S. AI must be regulated.

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Is there a natural contradiction within AI-driven code in cloud-native security?

CIO

However, amidst the allure of newfound technology lies a profound duality—the stark contrast between the benefits of AI-driven software development and the formidable security risks it introduces. This dichotomy underscores the need for a nuanced understanding between AI-developed code and security within the cloud-native ecosystem.

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Cybersecurity Snapshot: 6 Best Practices for Implementing AI Securely and Ethically

Tenable

But how can you ensure you use it securely, responsibly, ethically and in compliance with regulations? Check out best practices, guidelines and tips in this special edition of the Tenable Cybersecurity Snapshot! How can the security team contribute to these efforts? We look at best practices for secure use of AI.