Operations | Monitoring | ITSM | DevOps | Cloud

It’s no surprise that AI is rapidly becoming the most powerful tool for developers. The ease of use and accuracy of such tools can even generate code snippets for a website written entirely on a napkin! While the potential of AI is exciting, it is crucial to address the potential vulnerabilities that bad actors can exploit within AI systems.

In the blog “How Generative AI Can Benefit Knowledge Management”, we looked at the benefits of AI to knowledge management to enhance the quality, automating the creation of content and enabling more engaging content. In enabling generative AI to become part of the knowledge management framework introduces concerns about accuracy, data bias, privacy and security. Now, it’s time to look at how we can make it work well together...

Elasticsearch® has been used by developers to build search experiences for over a decade. At Microsoft Build this year, we announced the launch of Elasticsearch Relevance Engine™ — a set of tools to enable developers to build AI-powered search applications. With generative AI, large language models (LLMs), and vector search capabilities gaining mindshare, we are delighted to expand our range of tools and enable our customers in building the next generation of search apps.

Cyberattack prevention involves proactive steps organizations take to protect their digital assets, networks, and systems from potential cyber threats. Preventive measures, such as a combination of best practices, policies, and technologies, are employed to identify and mitigate security breaches before they can cause significant damage.