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In this Help Net Security interview, Chris Peake, CISO & SVP at Smartsheet, explains how responsible AI should be defined by each organization to guide their AI development and usage. Peake emphasizes that implementing responsible AI requires balancing ethical considerations, industry regulations, and proactive risk assessment to ensure that AI is used transparently.
Your profile can be used to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests. Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services, possible interests and personal aspects.
Red teaming exercises are one of the best ways to find novel risk, making them ideal for finding security and safety concerns in emerging technologies like generative AI. This can be done using a combination of penetration testing, time-bound offensive hacking competitions, and bug bounty programs. With this clear focus on safety, security, and accountability, red teaming practices are likely to be considered favorably by regulators worldwide, as well as aligning with the UK government's vision for responsible AI development.
"GenAI and AI have the potential to both disrupt and enhance security operations. As the acting gatekeepers - CISOs are under immense pressure," said Harold Rivas, CISO, Trellix. With cyberattacks on the rise, AI pressures mounting, and responsibilities growing, it's no surprise 90% of CISOs find themselves under increased pressure.
In this Help Net Security video, Itamar Sher, CEO of Seal Security, discusses how AI affects the risk and operational aspects of managing vulnerabilities in open-source software. One of the core issues around open-source vulnerability patch management has been the coupling between security patches and other code changes.
The shade of red on a stop sign could look different on each line depending on the time between the diode flash and the line capture. The result is the camera capturing an image full of lines that don't quite match each other.
Artificial intelligence (AI) is transforming cybersecurity, and those leading the charge are using it to outsmart increasingly advanced cyber threats. Join us for an exciting webinar, "The Future...
Cybersecurity researchers have discovered a novel attack that employs stolen cloud credentials to target cloud-hosted large language model (LLM) services with the goal of selling access to other...
About Bruce Schneier I am a public-interest technologist, working at the intersection of security, technology, and people. I've been writing about security issues on my blog since 2004, and in my monthly newsletter since 1998.