Generative AI and large language models (LLMs) seem to have burst onto the scene like a supernova. LLMs are machine learning models that are trained using enormous amounts of data to understand and generate human language. LLMs like ChatGPT and Bard have made a far wider audience aware of generative AI technology. Understandably, organizations that want to sharpen their competitive edge are keen to get on the bandwagon and harness the power of AI and LLMs.
The explosion of interest in artificial intelligence (AI) and specifically large language models (LLMs) has recently taken the world by storm. The duality of the power and risks that this technology holds is especially pertinent to cybersecurity. On one hand the capabilities of LLMs for summarization, synthesis, and creation (or co-creation) of language and content is mind-blowing.
We’re excited to announce Rubrik as one of the first enterprise backup providers in the Microsoft Security Copilot Partner Private Preview, enabling enterprises to accelerate cyber response times by determining the scope of attacks more efficiently and automating recoveries. Ransomware attacks typically result in an average downtime of 24 days. Imagine your business operations completely stalled for this duration.
With 2024 on the horizon, we have once again reached out to our deep bench of experts here at Netskope to ask them to do their best crystal ball gazing and give us a heads up on the trends and themes that they expect to see emerging in the new year. We’ve broken their predictions out into four categories: AI, Geopolitics, Corporate Governance, and Skills. Here’s what our experts think is in store for 2024.
If you’re responsible for creating a Web Application Firewall (WAF) rule, you’ll almost certainly need to reference a large list of potential values that each field can have. And having to manually manage and enter all those fields, for numerous WAF rules, would be a guaranteed headache.
