Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Synopsys

Secure Python code faster with Code Sight: Real-time issue detection in Visual Studio | Black Duck

Join David Bohannan, an R&D engineer at Black Duck, as he demonstrates using Black Duck's IDE plug-in, Code Sight to run static analysis on Python code within Visual Studio. Watch as Code Sight instantly detects vulnerabilities like OS command injection and cross-site request forgery while code is being written, helping developers fix issues early in the software lifecycle. David will demonstrate how leveraging Coverity's Rapid Scanning engine through Code Sight can allow developers to tackle issues such as secret scanning and ensure hardcoded secrets are flagged before they become risks to applications further downstream.

How to Easily Generate An Accurate SBOM with Black Duck SCA | Black Duck

Did you know that open source code constitutes up to 95% of the code in your applications? This creates a web of dependencies that can pose security, quality, and compliance risks. Watch the video to streamline your SBOM generation process and take control of your software supply chain. Black Duck provides a solution by helping you generate an accurate software bill of materials (SBOM) in minutes, giving you visibility into your software supply chain.

Building Security In Maturity Model or BSIMM from Black Duck | Black Duck

Black Duck BSIMM Assessments helps organizations plan, implement, and measure their software security initiatives. A BSIMM assessment provides an objective, data-driven evaluation that leaders seeking to improve their security postures can use to base decisions about resources, time, budget, and priorities.

Once and future code snippets: How AI reignites risk

Code snippets copied from copyleft-licensed open source projects represented the biggest risk in software 15 years ago. The Heartbleed vulnerability, discovered in April 2014, brought to the fore concerns about the security of open source components, and license risk took a bit of a back seat. But the problem never went away. Now, the advent of Generative AI as a tool for writing software is shining a new light on the issue.

Why penetration testing needs to be part of your IoT security

IoT devices are ubiquitous in our daily lives—whether it’s at home with connected home automation devices, or at work with connected factories, hospitals, and even connected cars. According to data-gathering and visualization firm Statista, there was an estimated 15.9 billion IoT devices in use in 2023, and that number is expected to climb to more than 32.1 billion in 2030.

Uncover vulnerabilities in C# applications using Coverity Rapid Scan Static | Synopsys

In this video you will discover how Coverity’s Rapid Scan Static Analysis can help developers find and fix vulnerabilities in their code early in the development cycle by providing quick feedback on the most impactful issues. This new update in the Coverity 2024.6.0 release highlights how developers can run quick scans for C# applications via the Coverity Rapid Scan Static engine; returning quick and accurate static analysis results related to issues such as deserialization, hardcoded secrets, unsafe API calls, single-file data flow, etc. at record speeds.

SSDF BSIMM mapping updated for BSIMM14

In early March 2024, the U.S. Department of Homeland Security’s Cybersecurity and Infrastructure Security Agency (CISA) released its final Secure Software Development Attestation Form instructions, sparking a renewed urgency around understanding and complying with 31 of the 42 tasks in NIST SP 800-218 Secure Software Development Framework (SSDF) version 1.1.

Is AI-generated code secure? Maybe. Maybe not.

Generative AI has emerged as the next big thing that will transform the way we build software. Its impact will be as significant as open source, mobile devices, cloud computing—indeed, the internet itself. We’re seeing Generative AI’s impacts already, and according to the recent Gartner Hype Cycle for Artificial Intelligence, AI may ultimately be able to automate as much as 30% of the work done by developers.