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SANS 2023 DevSecOps Survey

New 2023 SANS DevSecOps Survey explores DevSecOps challenges and trends. In today's rapidly evolving digital landscape, the intersection of development, security, and operations has become paramount. DevSecOps, a methodology that integrates security practices into the DevOps workflow, has emerged as a critical approach to ensure the security and efficiency of software development processes.

The future of IoT security

IoT security begins with building secure software. Learn how to embed security into your SDLC to avoid becoming an easy target for hackers. With the evolution of the Internet of Things (IoT), there are billions of devices in the world today. Everything is becoming a computer—your thermostat, stove, refrigerator, washer, dryer, vehicle, door locks—even things like lawn mowers and vacuum cleaners.

The parallels of AI and open source in software development

Parallels between the history of open source and the rise of AI in software development can teach us valuable AppSec lessons. The front page news about generative artificial intelligence (GAI) taking over software development from poor human developers has waned a bit. But there is no doubt that the technology will continue to transform the software development space over time.

Eliminate false positives with WhiteHat Dynamic

WhiteHat Dynamic helps organizations eliminate false positives. In the digital age, web apps are the engine that powers business. Organizations rely on web apps to run everything from internal team sites and HR portals to external client portals, business interfaces, and shopping carts. But web apps are also where threat actors can attack your business-critical applications to access your back-end databases.

The rise of AI in software development

Generative artificial intelligence tools are changing the world and the software development landscape significantly. Our webinar series will help you understand how. The popular press continues to reverberate with stories about the miracles of generative artificial intelligence (GAI) and machine learning (ML), and all the ways it might be used for good—and for bad. There’s hardly a tech company that isn’t talking about how GAI/ML can enhance its offerings.