Generative AI presents new opportunities and risks for the cybersecurity industry. The AI attack surface includes new threats such as deepfakes and disinformation. However, security teams can utilize AI to stay ahead of threats.
This whitepaper examines five topics security leaders need to be aware of when using Gen AI as part of their security strategy.
Here are the topics that are covered in this report:
- The speed of technology evolution
- Understanding the basics of foundational models
- How security leaders can spread awareness of AI-related risks
- How Gen AI can help security teams with their workload
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Provided by SentinelOne
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Microsoft says 71% of workers have used unapproved AI tools at work – and it’s a trend that enterprises need to crack down onNews Shadow AI is by no means a new trend, but it’s creating significant risks for enterprises
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This DeepSeek-powered pen testing tool could be a Cobalt Strike successor – and hackers have downloaded it 10,000 times since JulyNews ‘Villager’, a tool developed by a China-based red team project known as Cyberspike, is being used to automate attacks under the guise of penetration testing.
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Researchers tested over 100 leading AI models on coding tasks — nearly half produced glaring security flawsNews AI models large and small were found to introduce cross-site scripting errors and seriously struggle with secure Java generation
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How AI agents are being deployed in the real worldSupported Content These intelligent systems, capable of independent decision-making and learning, are transforming how organisations detect, respond to, and manage security problems
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