---
title: "Mike Says (@mikesays) | Hashnode"
description: "Mike Says (@mikesays) writes on Hashnode. Read their latest articles and follow their work."
url: "https://hashnode.com/@mikesays"
---

@mikesays

# Mike Says

@mikesays · Joined January 2025

### [Why Modern Security Teams Struggle With Alert Fatigue in Large Environments](https://mikesays.hashnode.dev/why-modern-security-teams-struggle-with-alert-fatigue-in-large-environments?utm_source=hashnode&utm_medium=feed)

Security operations centers are built to detect problems early, but as environments grow, the number of alerts often grows faster than the team’s ability to respond. What starts as a manageable stream

4 min read · [mikesays.hashnode.dev](https://mikesays.hashnode.dev/why-modern-security-teams-struggle-with-alert-fatigue-in-large-environments?utm_source=hashnode&utm_medium=feed)

[Jun 16](https://hashnode.com/posts/why-modern-security-teams-struggle-with-alert-fatigue-in-large-environments/6a314faf687d65d8d45c37f8)

### [Why Data-Centric Security Is Becoming the Default Architecture in 2026](https://mikesays.hashnode.dev/why-data-centric-security-is-becoming-the-default-architecture-in-2026?utm_source=hashnode&utm_medium=feed)

Enterprise security is quietly undergoing a structural shift. Instead of being organized around networks, endpoints, or perimeters, modern security architectures are increasingly being designed around

4 min read · [mikesays.hashnode.dev](https://mikesays.hashnode.dev/why-data-centric-security-is-becoming-the-default-architecture-in-2026?utm_source=hashnode&utm_medium=feed)

[Jun 16](https://hashnode.com/posts/why-data-centric-security-is-becoming-the-default-architecture-in-2026/6a3144ab533713fdf3dc0cbe)

### [How B2B Marketers Can Win with Generative Engine Optimization (GEO)](https://mikesays.hashnode.dev/how-b2b-marketers-can-win-with-generative-engine-optimization-geo?utm_source=hashnode&utm_medium=feed)

Marketing competition has shifted to a new battlefield: generative engine optimization. While GEO shares some traits with traditional search engine optimization, it demands a fundamentally different a

8 min read · [mikesays.hashnode.dev](https://mikesays.hashnode.dev/how-b2b-marketers-can-win-with-generative-engine-optimization-geo?utm_source=hashnode&utm_medium=feed)

[Mar 9](https://hashnode.com/posts/how-b2b-marketers-can-win-with-generative-engine-optimization-geo/69af1464af06a097c3c2369d)

### [Optimizing Large Language Models: A Guide to Prompt Engineering vs Fine-Tuning](https://mikesays.hashnode.dev/optimizing-large-language-models-a-guide-to-prompt-engineering-vs-fine-tuning?utm_source=hashnode&utm_medium=feed)

Large Language Models (LLMs) have transformed how we interact with artificial intelligence, but their out-of-the-box performance isn't always perfect for specific use cases. Organizations often need to customize these models for particular tasks, ind...

6 min read · [mikesays.hashnode.dev](https://mikesays.hashnode.dev/optimizing-large-language-models-a-guide-to-prompt-engineering-vs-fine-tuning?utm_source=hashnode&utm_medium=feed)

[Feb 12, 2025](https://hashnode.com/posts/optimizing-large-language-models-a-guide-to-prompt-engineering-vs-fine-tuning/67ad0550a01a50d509aeeb34)

### [Mastering LLMOps: Best Practices for Successfully Managing Large Language Models in Production](https://mikesays.hashnode.dev/mastering-llmops-best-practices-for-successfully-managing-large-language-models-in-production?utm_source=hashnode&utm_medium=feed)

Large language models are transforming how businesses operate, but successfully implementing them requires specialized operational processes. LLMOps provides the essential framework, tools, and methodologies needed to effectively deploy and manage th...

6 min read · [mikesays.hashnode.dev](https://mikesays.hashnode.dev/mastering-llmops-best-practices-for-successfully-managing-large-language-models-in-production?utm_source=hashnode&utm_medium=feed)

[Feb 12, 2025](https://hashnode.com/posts/mastering-llmops-best-practices-for-successfully-managing-large-language-models-in-production/67ad020717a73ed3f1e5bba1)