This podcast discusses the challenges of managing users' desires for new technology, particularly focusing on generative AI. The speakers explore the need to adapt and apply previous lessons learned, the risks and mitigation strategies associated with adopting new technology, the importance of managing user desires and ensuring visibility, adhering to rules and protecting data, and the significance of continuous learning in cybersecurity.
Securing new technology requires applying existing security fundamentals and assessing third-party risks.
Taking a risk-averse approach to new technology can impede business growth; security professionals should find a middle ground and collaborate with stakeholders to navigate risks and enable innovation.
Deep dives
Securing New Technology is a Constant Challenge
As security professionals, it is part of our job to adapt to new technologies and the challenges they bring. Generative AI, like chat GPT, is no exception. While the technology may be innovative and bring unique risks, the approach to securing it remains the same. We rely on fundamentals, assess third-party risks, and protect our own AI models. Although the tech landscape is constantly evolving, we can leverage existing patterns and strategies to mitigate risks and safeguard data. It is a journey, and we must be prepared to adapt to future advancements.
Balancing Risk and Innovation
The recurring narrative of wanting to ban new technologies, like chat GPT, stems from a natural hesitation towards the unknown. However, taking a risk-averse approach can limit business growth and competitiveness. While acknowledging the potential risks, security professionals should focus on finding a middle ground and partnering with stakeholders to chart a secure path forward. Education, vendor risk management, and aligning security with business objectives are crucial. By addressing concerns, empowering stakeholders, and embracing innovation, security can go beyond being the 'Department of No' and become an enabler of progress.
Exploring the Risks and Benefits
In the face of new technologies such as generative AI, exploring the potential risks is essential. The focus should be on understanding the worst-case scenarios, mitigating risks, and educating users on safe practices. Organizations can leverage contractual agreements with AI providers, align AI usage with business goals, and prioritize secure development. By proactively considering risks, staying informed, and fostering a collaborative approach, security teams can guide the business in effectively adopting and leveraging new technologies while minimizing potential harm.
All links and images for this episode can be found on CISO Series.
Large language models and generative AI are today's disruptive technology. This is not the first time companies just want to ban a new technology that everyone loves. Yet, we're doing it all over again. Whether its ChatGPT or BYOD, people are going to use desirable new tech. So if our job isn't to stop it, how do we secure it?
Censysis the leading Internet Intelligence Platform for Threat Hunting and Exposure Management. We provide the most comprehensive, accurate, and up-to-date map of the internet, which scans 45x more services than the nearest competitor across the world’s largest certificate database (>10B). Learn more atwww.censys.com.
In this episode:
Whether its ChatGPT or BYOD, people are going to use desirable new tech. So if our job isn't to stop it, how do we secure it?
Are tools like ChatGPT so different from what we've seen before that we can't apply lessons already learned?
What risks are we solving for with it and where do we go from there?
Is this just a security issue?
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