Cybersecurity Analyst | Breaking Cybersecurity News | The Hacker News

With each passing year, the cybersecurity threat landscape continues to worsen. That reality makes cybersecurity analysts some of the most sought-after technology professionals in the world. And there are nowhere near enough of them to meet the demand. At last count, there were over  3.5 million unfilled cybersecurity jobs  worldwide — and that number is still growing. The situation means that it's a great time to become a cybersecurity analyst. What's more, the skyrocketing demand means it's possible to start a lucrative freelance career in the field and take complete control over your professional future. Here's a start-to-finish guide on how to do exactly that. Start With the Right Training The first step on the path to becoming a freelance cybersecurity analyst is to acquire the necessary skills. For those without an existing technology background, the best place to start is with a cybersecurity bootcamp. They're designed to get newcomers up to speed with ba...

People talk about the cybersecurity job market like it's a monolith, but there are a number of different roles within cybersecurity, depending not only on your skill level and experience but on what you like to do. In fact, Cybercrime Magazine came up with a list of  50 cybersecurity job titles , while CyberSN, a recruiting organization, came up with its own list of  45 cybersecurity job categories . Similarly, OnGig.com, a company that helps firms write their job ads, analyzed 150 cybersecurity job titles and came up with its  own top 30 list . This article is based on research I did with Springboard, one of the  first cybersecurity bootcamps with a job guarantee  and 1:1 mentorship. In particular, CyberSeek.org, a joint industry initiative looking at the cybersecurity job market, offers an  interactive list  of not only the various positions within cybersecurity but offers you a career path showing how you can get promoted. The complicated part ...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...