I have read and accept the privacy policy.

Knowledge base

SOC team burnout: how does strategic augmentation save your first line of defense?

SOC team burnout is not an HR problem. It's a critical business vulnerability that directly increases the risk of a successful cyber attack. When your best analysts leave and the rest lose their vigilance due to "alert fatigue," the entire organization becomes more vulnerable. This article will show you how to treat burnout as a risk and how strategic augmentation can effectively mitigate it, strengthening your defenses.

CISO communication with the board: how to effectively argue for cybersecurity investments?

Management doesn't want to know how many attacks you've blocked. It wants to know the financial value of the risks your company faces and how quickly you are able to recover from a critical incident. In this article, we outline specific metrics and indicators that should be in your report. We'll show you how to create a dashboard that provides management with clear business answers rather than technical hype.

Ethics in AI: how to build a management framework to avoid legal and reputational disaster?

“We trust our data,” is the most dangerous sentence you can utter in the AI era. Data is never objective. See how to build a governance framework (AI Governance) in 5 steps that weaves ethics right into your MLOps cycle. This is not a philosophical essay, but a concrete manual on how to ensure fairness, transparency and human oversight of your algorithms.

MLOps in practice: how to go from a notebook model to scalable production?

Think MLOps is just “DevOps for AI”? That's a huge oversimplification. The real complexity lies in managing the Code-Model-Data trinity. See what a professional model lifecycle looks like in practice: from data versioning through DVC, to automated pipelines, canary deployments and drift monitoring. This is a concrete guide to building an AI factory, not a single prototype.

Building an AI team: what roles do you really need to succeed in 2025?

Do you know why most corporate AI initiatives end at the prototype stage? They're probably missing the most important role on the team. This article explains who the key players are on a modern AI team - from data strategist to ethics gatekeeper - and suggests how to recruit them, bypassing a costly and lengthy recruitment war.

AI talent crisis: how augmentation of teams solves the competency shortage?

Traditional IT recruiting is dead. In the world of AI, where the battle for talent is global and the best professionals disappear from the market in the blink of an eye, waiting months to close the process is strategic suicide. If your AI projects are being stalled by a lack of manpower, it's time for a radical change. Discover why augmenting your team is not a “temporary backup,” but the fastest way to gain a competitive advantage.

How to prioritize software testing activities?

Prioritization of testing activities is a key element in the software quality assurance process, enabling efficient management of resources and focus on the most important areas of the system.

What are the quality standards for software testing?

Testing software to quality standards is a key process to ensure application reliability and functionality. Learn what standards and guidelines are in place in the IT industry and how following them affects the success of projects.

Why automate software testing? Key areas

Software test automation speeds up QA processes, increases accuracy and reduces the risk of human error. Learn about the most popular tools, such as Selenium, Appium and JUnit, which support efficient testing of web and mobile applications.

What is validation in the software testing process?

Validation in software testing is the process of assessing whether the final product meets specific requirements and user expectations. Learn about the key goals of validation, its importance in the software development lifecycle, and best practices to ensure the quality of delivered solutions.

Test automation tools: A comprehensive guide to solutions

Software test automation speeds up QA processes, increases accuracy and reduces the risk of human error. Learn about the most popular tools, such as Selenium, Appium and JUnit, which support efficient testing of web and mobile applications.

What are software security tests?

Software security testing is a key process of evaluating systems and applications to identify potential vulnerabilities and threats that can be exploited by cybercriminals.

How does software test automation work?

Software test automation is a key process that transforms manual test cases into computer-executed scripts, increasing the efficiency and reliability of testing. Learn how test automation works, the mechanisms and tools involved, and the benefits it brings to software development.

What are non-functional tests? – Highlights

Non-functional testing evaluates qualitative aspects of a system, such as performance, security or usability, ensuring that it performs reliably under various conditions.

Who is a software tester? A complete guide to the profession

Are you considering a career in IT? Learn about the profession of software tester - a specialist who is responsible for the quality of digital products. In this comprehensive guide, you'll learn what skills are necessary, how much you can earn, and what opportunities exist for advancement. We provide practical tips on how to start a career in testing, and analyze the future of this profession in the rapidly evolving world of technology.

What are exploratory tests and how do they work?

Exploratory testing is a dynamic method of software verification, involving simultaneous design and execution of tests. It allows rapid detection of unexpected errors and adaptation to changing project requirements.