Qualys Expands Cloud Platform for First-Party Application Risk Detection and Remediation

Have you faced the need to identify & respond to open-source package vulnerabilities like log4shell, openSSL, etc, in production from Day Zero? Are you using first-party, homegrown applications and are worried the risk introduced by those applications is not seen or addressed? Qualys new...

How to Build and Enable a Cyber Target Operating Model

Cybersecurity is complex and ever-changing. Organisations should be able to evaluate their capabilities and identify areas where improvement is needed. In the webinar “Foundational Components to Enable a Cyber Target Operating Model,” – part two of our Cybersecurity Series – Jason Hart, Chief...

Upgrade Your FIM Program to Detect Risk and Streamline Compliance

File integrity monitoring FIM tools are essential for defending business and customer data, but legacy tools are falling short by swamping security analysts with irrelevant alerts. This blog describes how Qualys FIM easily solves such issues by accurately isolating file-level breaches and sending...

Product Overview: Cynet SaaS Security Posture Management (SSPM)

Software-as-a-service SaaS applications have gone from novelty to business necessity in a few short years, and its positive impact on organizations is clear. It's safe to say that most industries today run on SaaS applications, which is undoubtedly positive, but it does introduce some critical ne...

Reinventing Cybersecurity Asset Management

Because security teams need their own asset inventory solution In conversations with our customers, it’s very clear that organizations need to establish a comprehensive view of their IT asset infrastructure because you can’t secure what you don’t know or can’t see. But that comprehensive view nee...

Code42 Incydr Series: Why Most Companies Can’t Stop Departing Employee Data Theft

Here’s the single clearest sign of insider risk: an employee’s resignation letter. A 2019 study found that 72% of employees take company data when they leave, according to Infosecurity Magazine. Fortunately, you don’t need fancy technology to figure out who these risky users are — they tell you!...

Application fuzzing in the era of Machine Learning and AI

Proactively testing software for bugs is not new. The earliest examples date back to the 1950s with the term fuzzing. Fuzzing as we now refer to it is the injection of random inputs and commands into applications. It made its debut quite literally on a dark and stormy night in 1988. Since then,...

Application fuzzing in the era of Machine Learning and AI

Proactively testing software for bugs is not new. The earliest examples date back to the 1950s with the term fuzzing. Fuzzing as we now refer to it is the injection of random inputs and commands into applications. It made its debut quite literally on a dark and stormy night in 1988. Since then,...