In recent years, generative artificial intelligence (AI), especially Large Language Models (LLMs) like ChatGPT, has revolutionized the fields of AI and natural language processing. From automating customer support to creating realistic chatbots, we rely on AI much more than many of us probably realize. The AI hype train definitely reached full steam in the last several months, especially for cybersecurity use cases, with the release of tools such as.

In cybersecurity as in sports, teamwork makes the dream work. In a world where security analysts can feel constantly bombarded by threat actors, banding together to share information and strategies is increasingly important. Over the last few years, security operations center (SOC) analysts started sharing open source Sigma rules to create and share detections that help them level the playing field.

AI Trust, Risk and Security Management (AI TRiSM) is an emerging technology trend that will revolutionize businesses in coming years. The AI TRiSM framework helps identify, monitor and reduce potential risks associated with using AI technology in organizations. By using this framework, organizations can ensure compliance with all relevant regulations and data privacy laws. In this article, you'll learn what AI TRiSM is, how it works, and how organizations can use it for their benefit.

With evolving cyber threats and sudden disasters, data resilience is among the critical components of any business. Data resilience helps businesses provide continuous, uninterrupted services to their customers. This article explains data resilience, its importance for current businesses, and the most common strategies to achieve data resilience. It also describes the advantages and challenges of achieving business data resilience.

Looking for a stable job in tech? Cybersecurity is one of the fastest growing employment segments — with a zero percent unemployment rate! This is a promising field for new graduates in the technology sector with strong backgrounds in systems design, data and mathematics. What roles and responsibilities can you expect in the cybersecurity domain? Here is a list of cybersecurity roles, their responsibilities, skills required and average annual salary.

As security practitioners, we like to read blogs, whitepapers, and even Mastodon “toots” that talk about new or novel threats and vulnerabilities. Recently, our fearless and never sleeping Security Strategist Leader James Brodsky called attention to a blog post from a researcher that highlighted the risks of password disclosure in authentication logs.

Most dynamic web applications and sites — ones that store and process user information — use some sort of database implementation. One of the most common implementations involves SQL. Structured Query Language is a standard language for relational database management systems (RDBMS). It lets you query database records, change and modify them, set permissions, create custom views and storage procedures.

Zero-Day” is an intriguing concept in the domain of cybersecurity. Imagine diligently following security best practices such as patching exploits and updating the systems regularly. Plus, you’re following strict risk management and governance frameworks within the organization to vet new software applications for security risk before adding them to your library. But what happens when the security flaws are novel — and a patch does not exist?

Malicious software like ransomware often use tactics, techniques, and procedures such as copying malicious files to the local machine to propagate themselves across the network. A few years ago, the Cybersecurity and Infrastructure Security Agency, the Federal Bureau of Investigation, and the Department of Health and Human Services issued a joint cybersecurity advisory to ward off potential harm from threat actors for at-risk entities.