Vulnerability Management Blog

François Labrèche
July 30, 2020

  Introduction Fixing software vulnerabilities in a network is a key aspect of cybersecurity risk management. Security vulnerabilities with publicly available exploits are much more concerning and should be addressed quickly following the publication of an exploit. But passively waiting for the publication of an exploit is a risky prioritization…

Delve Labs Team
July 28, 2020

Given that more than half of all breaches can be traced to, or involve in some way, an unpatched vulnerability, the process of prioritizing vulnerability remediation is key to ultimately reducing the vulnerability risk of an enterprise meaningfully.  In the post below, we answer some of the most common questions…

Pierre-David Oriol & Serge-Olivier Paquette
July 13, 2020

  This blog post is the first in a series of articles (read the second in the series here) that describes in great detail our approach to vulnerability prioritization. In this article, we introduce general concepts about contextual vulnerability prioritization and how it relates to current risk evaluation methods, and…

François Labrèche
July 2, 2020

  Introduction In cybersecurity, news regarding new vulnerabilities appears continuously every day through an array of various sources, be it news networks, social networks, blogs, security advisories, etc. These fall under the umbrella of open-source intelligence (OSINT). Yet not all vulnerabilities generate the same level of interest and length of…

Eric Boivin
June 22, 2020

It is a pleasure to bring you today's edition of our product features update. The last weeks have kept us very busy working on some important roadmap items. We have welcomed many new clients and users, so whether you are a seasoned Delve veteran or a newcomer, we're confident that…

Pierre-David Oriol
June 1, 2020

Building Trust through Understandability & Interpretability For many years people have been drowning in AI marketing lingo, to a point where it makes it very difficult to understand exactly what AI - or more precisely Machine Learning - can effectively do for them. A lot of AI-based solutions work in…

Louis-Philippe Huberdeau
June 1, 2020

One of the challenges encountered by all software companies that have built AI or machine learning into their products is eliminating “black box” syndrome, or the perception that inputs are consumed by the AI black box, and magically, reliable results are spit out. The results are valid, useful, and can…