Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In a landmark development, the U.S. Department of Homeland Security (DHS) has unveiled its pioneering Artificial Intelligence Roadmap, marking a significant stride towards incorporating generative AI models into federal agencies' operations. Under the leadership of Secretary Alejandro N. Mayorkas and Chief Information Officer Eric Hysen, DHS aims to harness AI technologies to bolster national security while safeguarding individual privacy and civil liberties.

Over the last year there has been a prevailing sentiment that while AI will not necessarily be replacing humans, humans who use AI will replace those that don’t.

Today, every organization has significant investments in their overall tech stack, both financially and operationally, and as technology evolves, it is crucial that we keep pace to ensure success. For many organizations, legacy applications house some of their most mission critical applications, and replacing or retiring them would be incredibly costly, monetarily and in terms of productivity. With application modernization, businesses can now skip the hassle of completely rebuilding applications.

Shipping secure code rapidly and at scale is a challenge across the software industry, as evidenced by continued news of high-profile data breaches and critical vulnerabilities. To address this challenge, organizations are increasingly adopting DevSecOps, a practice in which application developers work closely alongside operations and security teams throughout the development life cycle.