SAN FRANCISCO, Oct. 12, 2023—Nightfall AI, the leader in cloud Data Leak Prevention (cloud DLP), today announced a partnership with Snyk, a leading developer security provider, to offer developers AI-powered secrets-scanning capabilities. Snyk and Nightfall are partnering to co-sell Nightfall's DLP platform alongside Snyk's Developer Security Platform.
As we announced earlier today, Nightfall is thrilled to team up with Snyk to provide a state-of-the-art security solution for developers working in every phase of the code-to-cloud lifecycle. But that’s just the “What”—now let’s dive into the “Why” and the “How.”
The AEC industry has come a long way from traditional paper-based processes. With advancements in technology over the past three decades, there’s been a remarkable transformation towards a digital future. It began with Computer-aided Design (CAD), then Building Information Modeling (BIM), and eventually capabilities such as modeling, visualization, simulation, analysis, automation, generative design, and even AI.
On October 11 a new version of curl (8.4.0) was released, where a couple of new vulnerabilities were fixed (CVE-2023-38545 with severity HIGH and CVE-2023-38546 with severity LOW). These issues were previously announced in the project’s discussion. At the time of this blog, there have been several proof of concepts released for CVE-2023-38545 which result in crashes, but not exploitation.
Staying ahead of potential threats and breaches is a constant battle. One innovative solution is the use of “canaries” to detect attempted intrusions. Canary assets are one clever way to detect intruders in your network.
The cloud has introduced entirely new environments, roles and circumstances that require us to reimagine the definition of privileged access management (PAM) and how to apply those principles to secure identities. PAM was built on the notion that identities must be secured, not just managed, to protect an organization’s most valuable assets. The well-recognized values of PAM remain highly desirable – least privilege, role-based access control and auditability of high-risk sessions.
