AI systems introduce risks that traditional security testing cannot fully address. Unlike conventional software, AI models can be manipulated through prompts, leak sensitive data, generate unsafe outputs, or behave unpredictably. This blog explains why AI security testing requires specialized approaches covering applications, models, infrastructure, data, and overall AI trustworthiness.
This guide explains the ISO 42001 AI Management System using a clear, clause-by-clause approach. It covers implementation, risk management, lifecycle control, and audit readiness to help organizations build trustworthy and compliant AI systems.
Generative AI (GenAI) is no longer a futuristic concept. It’s an integral part of modern businesses. GenAI powers everything from...
Learn how to test for prompt injection vulnerabilities in LLM-powered applications using OWASP-recommended techniques. This blog covers practical testing workflows, common attack payloads, automation tools, and mitigation strategies to secure your AI models effectively.
Most companies think basic firewalls and antivirus tools are enough. They’re wrong. In 2025, cloud environments are the favorite playground for cybercriminals. Here’s why your cloud setup is probably a ticking time bomb — and how to fix it before it’s too late.
Printers are the silent entry points for hackers in most organizations. As a cybersecurity analyst, you need to secure them just like servers and endpoints. This blog provides a complete printer vulnerability assessment checklist, mapped to ISO 27001, NIST, and CIS standards, to help you harden your print infrastructure against attacks.
Nessus Professional is the industry-leading vulnerability scanner trusted by organizations worldwide. Here’s why it’s worth the investment — and what you need to know before you buy.
Thinking about buying Burp Suite Professional? Don’t waste your money until you understand when it’s truly worth it — and when the free version is all you need.
