When developing and deploying internet of things solutions, achieving security by design is not as simple as picking a secure development life cycle (SDLC) framework and shifting your security left.
How can security professionals keep up with cybersecurity best practices without taking too much time away from other responsibilities?
To compete in today's software market, developers are under pressure to build quality code quickly. But DevOps processes that fail to account for application security are bound to miss critical flaws.
Securing the Microservices Architecture: Decomposing the Monolith Without Compromising Information Security
Ditching monolith for microservices may be right for your organization, but it's critical to address the relevant security considerations early in the process.
Let's add the diversity of approach, diversity of values and advocacy for deep customer empathy to the cybersecurity workforce diversity we are building.
By completing the phases of the system development life cycle (SDLC), security teams can integrate processes and technologies into the development process and improve application security.
When used as part of the software development process, machine learning can help identify vulnerabilities before threat actors have a chance to exploit them.
Software development kits enable technology partners to build integrations that fill in gaps and extend the functionality of core products, boosting collaboration and innovation among cyberdefenders.
HTTP response headers aim to help protect web applications from cross-site scripting (XSS), man-in-the-middle (MitM) attacks, clickjacking, cross-site request forgery and other threat vectors.
Three Practical Tips That Empower Developers and Prevent Open Source Security Risks From Entering Your Code
There are many benefits to developing software using open source code, but these components can also introduce vulnerabilities into your code.