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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. AI threats to fintech companies When I think about possible AI threats, top of mind to me is how AI can be weaponized: Threats to identity.

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TechCrunch+ roundup: Generative AI for proptech, cloud vendor shopping, cybersecurity fairy tales

TechCrunch

Generative AI reminds me of ball bearings: the technology is relatively inexpensive, highly adaptable and a proven way to reduce friction. Investors have taken notice: CB Insights reports that VCs poured $49 billion into AI last year, a 40% jump from the year before. ” It may sound authentic, but David J. .”

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A secure approach to generative AI with AWS

AWS Machine Learning - AI

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output.

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20 issues shaping generative AI strategies today

CIO

Organizations are rushing to figure out how to extract business value from generative AI — without falling prey to the myriad pitfalls arising. They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies.

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Top 5 Security Trends for CIOs

CIO

Cybersecurity cannot stand still, or the waves of innovation will overrun the shores. Multifactor authentication fatigue and biometrics shortcomings Multifactor authentication (MFA) is a popular technique for strengthening the security around logins. Cybersecurity budgets are typically caught between these two forces.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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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. A prime example is the recent attack that injected an AI deepfake video feed to defraud a Hong Kong company for $25 million.