The past two years have been a baptism by fire for our cybersecurity systems.
Almost overnight, organizations adopted a remote working model that put cybersecurity blueprints to the test. We had to adapt as an industry, especially in the wake of desperate threat actors causing a 300% spike in reported cybercrimes since the pandemic kicked off.
We’ve learned a few lessons, and I’m comforted that general cybersecurity is taken more seriously, as is code-level software security and quality. President Biden’s Executive Order on securing the software supply chain illuminated critical issues, especially in the wake of the SolarWinds mass breach. The idea that we all need to care more about security and work to reduce vulnerabilities with measurable security awareness is a more significant part of the conversation.
Explore how generative AI is revolutionizing software development across the SDLC, as highlighted in Gartner's report, advising Application Security leaders on the importance of scrutinizing AI-generated software.
The promise of artificial intelligence writing complex code at the touch of a button is intriguing, but the reality is that AI will need a lot of help from human developers to craft truly secure and reliable code.
