In the fast-paced world of software development, too often security takes a backseat to meeting strict deadlines and delivering new features. Discovering software has accrued substantial security debt that will take months to fix can rip up the schedules of even the best development teams. An AI-powered tool that assists developers in remediating flaws becomes an invaluable asset in this context.
DevSecOps, or secure DevOps, is the mindset in software development that everyone is responsible for application security. By integrating developers with IT operations and focusing everyone on making better security decisions, development teams can deliver safer software with greater speed and efficiency. In practice, DevSecOps can add some friction and hinder the development process.
DevSecOps, also known as secure DevOps, represents a mindset in software development that holds everyone accountable for application security. By fostering collaboration between developers and IT operations and directing collective efforts towards better security decision-making, development teams can deliver safer software with greater speed and efficiency. Despite its merits, implementing DevSecOps can introduce friction into the development process.
In the age of Gen AI, it is now apparent that we can no longer trust what we see and read. The fakers have the upper hand: while typical security approaches rely on scaling up teams, attacks scale at the press of a button. To safely move forward and realize the benefits Gen AI enables, we need a better trust model that adds integrity, transparency and trust to all data and a common provenance format that captures origin, authenticity and lineage information. We must verify data before we use it.
AWS offers the infrastructure, innovation, services, and reliability to run your mission-critical applications, which is why millions of customers partner with AWS to build, run, and scale applications in the cloud. But how can customers proactively ensure the security of these critical applications?
