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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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GUEST ESSAY: Cisco-Splunk merger will boost Snowflake – here’s how security teams can benefit.

The Last Watchdog

Cisco’s $28 billion acquisition of Splunk comes at an inflection point of security teams beginning to adopt to working with modern, cloud-native data lakes. Related: Dasera launches new Snowflake platform For years, Splunk has been the workhorse SIEM for many enterprise Security Operation Centers (SOCs).

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MicroServices: Today’s data science gold rush

Thales Cloud Protection & Licensing

Microservices 1 is a powerful technology that is the kernel for modern cloud architecture, and it’s going to drive how people build, manage and deploy secure apps. And the ecosystem that’s going to drive all this will need to address old challenges, such as security, identity, and logging, with new tools. My key takeaways from KubeCon.

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SHARING INTEL: Here’s why it has become so vital to prioritize the security-proofing of APIs

The Last Watchdog

Yet, in bringing us here, APIs have also spawned a vast new tier of security holes. Yet, API security risks haven’t gotten the attention they deserve. It has become clear that API security needs to be prioritized as companies strive to mitigate modern-day cyber exposures. Thus security-proofing APIs has become a huge challenge.

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SHARED INTEL: VCs pumped $21.8 billion into cybersecurity in 2021 — why there’s more to come

The Last Watchdog

The top drivers of the continued growth of cybersecurity are: the growing need to protect the API supply chain, the inadequacy of existing identity management systems, and the unfulfilled promise of data-driven AI-powered cybersecurity systems. Securing APIs. Every week, we see a new pitch for an API supply chain security startup.

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AI model governance: What it is and why it’s important

Collibra

If you strive to be data-driven and are leveraging AI technologies to gain a competitive edge, increase efficiency, and drive innovation, then you need to recognize, in addition to its potentially remarkable benefits, generative AI also presents significant risks. Ensuring the security and compliance of AI models is a critical challenge.

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Will data science, machine learning and AI ‘save’ IT security?

Information Management Resources

The importance of identifying data sources, collecting those sources, and applying them wisely is key to prevention, the reduction of threat actor dwell time, and threat mitigation.