Logical Security

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The security concerns of generative artificial intelligence (AI) use within the workplace were analyzed in a recent report by ExtraHop.

Large language models and generative AI, such as ChatGPT, can be helpful tools but can also open organizations up to unintended risks if used improperly. 

The problem with common vulnerability and exposure lists, however, is that the vulnerabilities being generated in modern applications aren’t known.

Balancing the risks and benefits of artificial intelligence (AI) is critical to enterprise cybersecurity success going forward.

As technology develops at rapid rates, so do common cyberattack methods. 

New methods of looking at exposure management and security control validation enable businesses  to prioritize security investments with business and risk context.

Unlike a company’s system and infrastructure, an organization’s website is a public-facing asset that is constantly at risk of a cyberattack. 

Since the first Cybersecurity Awareness Month, the industry has made significant strides in raising overall awareness around cybersecurity threats.

It's no longer enough to manage structured data. Enterprise security teams need to control access to all data — no matter where it lives.

To bolster the case for budget increases, it is imperative for CSOs to possess an understanding of the factors contributing to security breaches.