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Generative AI could be the holy grail of DevSecOps, from writing secure code and documentation to creating tests. But it could be a major point of failure if not used correctly.
By automating repetitive triage and documentation tasks, generative AI systems allow entry-level security analysts to spend more time on investigations, response, and developing core skills.
Added to Cloudflare’s Web Application Firewall (WAF) offerings, Firewall for AI is designed to prevent the exploitation of AI models, specifically generative AI.
If organizations do not have the appropriate security protections in place, they instantly become a prime target for cybercriminals. It’s time to confidently explore and innovate with AI without fear of compromising the organization as a whole.
Cybersecurity professionals expressed a wide range of opinions on the pros and cons of generative AI in a new survey from a prominent certification group.
The company also announced $2 million in research grants and strategic partnerships to support research at several institutes, including The University of Chicago, Carnegie Mellon, and Stanford.
Microsoft and Open AI detail how some nation-state actors have started to use large language models to gather intelligence.
Generative AI can create fake documents and personal histories that fool common know-your-customer authentication practices.
The rush to embrace generative AI highlights how privacy can suffer when it’s not a key consideration of security policies and implementations.