Challenges can only be a comprehensive

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The answer to these approach, including continuous monitoring and updating of systems, training of personnel and compliance with regulations. Cybersecurity using AI requires constant attention and investment to effectively cope with changing cyber threats. We will strengthen fences, put up new locks and train dogs as long as we want to live in relative safety. And by the way, artificial intelligence will also tell us what kind of fence to build right now - having analyzed potential threats and calculated a picture of the future.

Forrester: What Place Will Generative AI Take in Security Tools?
25.10.2023
Allie Mellen, principal analyst at Forrester , shares key findings from a new study, “ How Security Tools Will Leverage Generative AI, ” in a corporate blog post that examines how generative AI will impact six different areas of security: detection and response, zero trust, security leadership, product security, privacy and data protection, and risk and compliance.

There’s a lot of buzz around generative AI, but it’s still a bit of a mystery to many. According to Forrester, AI decision makers believe that IT operations will be the most impacted by generative AI in albania mobile database enterprise, including security. Security leaders should be prepared for the impact this new technology will have on their teams.

Below are five key areas where generative AI can be applied in security applications.

1. Generative AI is not ready for use yet
Despite press releases from vendors, this technology is currently only available to select customers, if at all. Every vendor we spoke to at least posted a teaser for a generative AI offering they were developing, but none are publicly available and likely won’t be until the first half of 2024.

2. Three main use cases for generative AI