Finding and fixing security issues in your code has its challenges. Chief among them is the important step of actually changing your code to fix the problem. Getting there is a process: sorting through security tickets, deciphering what those security findings mean and where they come from in the source code, and then determining how to fix the problem so you can get back to development. Not to worry — AI will take care of everything, right?
Whether or not you made it to RSA 2023, here are two key themes we saw throughout this year’s conference.
At RSA Conference 2023, a number of Netskopers from across the organization who attended the event in San Francisco shared commentary on the trends, topics, and takeaways from this year’s conference.
As we witness a growing number of cyber-attacks and data breaches, the demand for advanced cybersecurity solutions is becoming critical. Artificial intelligence (AI) has emerged as a powerful contender to help solve pressing cybersecurity problems. Let’s explore the benefits, challenges, and potential risks of AI in cybersecurity using a Q&A composed of questions I hear often.
AI is advancing at a stunning rate, with new tools and use cases are being discovered and announced every week, from writing poems all the way through to securing networks. Researchers aren’t completely sure what new AI models such as GPT-4 are capable of, which has led some big names such as Elon Musk and Steve Wozniak, alongside AI researchers, to call for a halt on training more powerful models for 6 months so focus can shift to developing safety protocols and regulations.
ChatGPT can arguably be called the breakout software introduction of the last 12 months, generating both amazement at its potential and concerns that threat actors will weaponize and use it as an attack platform. Karl Sigler, Senior Security Research Manager, SpiderLabs Threat Intelligence, along with Trustwave SpiderLabs researchers, has been tracking ChatGPT’s development over the last several months.
