Category: EN

Ensuring Satisfaction in Managing Non-Human Identities

Why is NHI Management Integral to Your Cybersecurity Strategy? If you’ve ever wondered, “How can I make my cybersecurity strategy more robust and reduce the risk of security breaches?” then Non-Human Identity (NHI) management could be the answer you’re looking…

Are You Capable of Securing Your Digital Assets?

Is Your Organization Capable of Securing its Digital Assets? Reflect for a moment: are your digital assets comprehensively protected from security threats? With the proliferation of non-human identities (NHIs) and the need for a safe cloud environment, a rigorous approach…

Malware Defense 101 – Identifying and Removing Modern Threats

The cybersecurity landscape in 2025 is defined by increasingly sophisticated malware threats, with attackers leveraging artificial intelligence, evasion tactics, and polymorphic code to bypass traditional defenses. Stealers, ransomware, and remote access trojans (RATs) dominate the threat matrix, while AI-driven malware…

OAuth 2.0 Overview

Ever clicked a “Login with Google” button or granted a new photo app permission to access your Dropbox files? If so, you’ve already experienced OAuth 2.0 — even if you didn’t realize it at the time. Think of it like…

AI Security Frameworks – Ensuring Trust in Machine Learning

As artificial intelligence transforms industries and enhances human capabilities, the need for strong AI security frameworks has become paramount. Recent developments in AI security standards aim to mitigate risks associated with machine learning systems while fostering innovation and building public…

Preventing Phishing Attacks on Cryptocurrency Exchanges

Cryptocurrency exchanges are intensifying security measures in 2025 to focus on preventing phishing attacks, as these scams reach alarming levels and have caused millions in losses for investors. As digital assets continue gaining mainstream adoption, cybercriminals deploy increasingly sophisticated techniques…

Adversarial Machine Learning – Securing AI Models

As AI systems using adversarial machine learning integrate into critical infrastructure, healthcare, and autonomous technologies, a silent battle ensues between defenders strengthening models and attackers exploiting vulnerabilities. The field of adversarial machine learning (AML) has emerged as both a threat…