Continuing from my previous blog, let’s explore some more advanced topics related to DevSecOps implementation. Identity and Access Management Identity and Access Management (IAM) is a critical aspect of DevSecOps. It involves managing user identities and controlling their access to resources based on their roles and responsibilities. IAM includes the following activities: Infrastructure as Code […]
Read more →Category: Emerging Technologies
Emerging technologies include a variety of technologies such as educational technology, information technology, nanotechnology, biotechnology, cognitive science, psychotechnology, robotics, and artificial intelligence.
DevSecOps: Integrating Security into DevOps – Part 4
In this continuation blog, we will explore some more advanced topics related to DevSecOps implementation. Threat Modeling Threat modeling is the process of identifying potential threats to an application or system and evaluating their impact. It helps identify potential security vulnerabilities and prioritize security activities. The following steps are involved in the threat modeling process: […]
Read more →DevSecOps: Integrating Security into DevOps – Part 2
Continuing from my previous blog, let’s dive deeper into the implementation of DevSecOps. Integrating Security into DevOps To implement DevSecOps, it is essential to integrate security into every phase of the DevOps lifecycle. The following are the key phases in DevOps and how to integrate security into each phase: DevSecOps Best Practices Here are some […]
Read more →DevSecOps: Integrating Security into DevOps
As organizations continue to adopt and accelerate their DevOps practices, it has become increasingly clear that security cannot be an afterthought. Enter DevSecOps – a movement that seeks to integrate security into the entire software development lifecycle. DevSecOps aims to shift security left, empowering teams to take ownership of their security while building and deploying […]
Read more →Agent Tool Selection: Building AI Agents That Choose and Use the Right Tools
Introduction: AI agents become powerful when they can use tools—searching the web, querying databases, calling APIs, executing code. But tool selection is where many agent implementations fail. The agent might choose the wrong tool, call tools with incorrect parameters, or get stuck in loops trying tools that won’t work. This guide covers practical patterns for […]
Read more →LLM Fine-tuning Fundamentals: When, Why, and How to Customize Language Models
Introduction: Fine-tuning transforms a general-purpose LLM into a specialized model for your specific use case. While prompt engineering works for many applications, fine-tuning offers advantages when you need consistent formatting, domain-specific knowledge, or reduced latency from shorter prompts. This guide covers practical fine-tuning: when to fine-tune versus prompt engineer, preparing training data, running fine-tuning jobs […]
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