AI is accelerating code delivery tenfold, yet security remains an afterthought. The breakneck pace of innovation has turned traditional security playbooks from obsolete to dangerous, creating exposure the industry can’t afford.

Lyft's Staff Security Engineer Anshuman Bhartiya is focused less on the threats AI might bring and more on the ones teams are sleepwalking into. As code velocity skyrockets, he says the real danger isn’t novel attacks, but the industry’s failure to rethink how security gets done.

• Left out: “We’ve been talking about ‘shifting left’ for years, but the truth is, we’ve only shifted as far as the pull request,” Bhartiya says. “By the time an engineer has written and committed the code, it’s already too late. For the longest time, we've been stuck in a reactive world, finding vulnerabilities after the code has been shipped and used by customers, instead of focusing on building secure things from the ground up.” Most teams are just scanning code after it's written, not designing security in from the start.

• Security groundhog day: “We play this game where we see the same kind of vulnerabilities, just in different variations, again and again. We aren’t learning from our past failures,” Bhartiya warns. Legacy systems compound the problem, leaving organizations that aren’t managing infrastructure as code fundamentally unprepared for the speed of AI. “The velocity at which things are going to get built and deployed is just going to skyrocket now,” he adds. “It's going to become very difficult to deploy things securely.”

The challenge isn’t just the volume of code, but the tools themselves. As autonomous agents are given more power to execute code and integrate with internal and external services, they create entirely new attack surfaces. “What does the blast radius look like for these integrations? Are these systems following the principle of least privilege?” Bhartiya asks. “There are some concerns around authentication and authorization with respect to how these agents are going to work.”

• Embedded allies: One way to build a proactive security culture today, Bhartiya suggests, is through a hands-on, human-powered approach. “It’s this idea of a security champions program, where you have someone with security expertise embedded directly into an engineering team,” he says. He notes that having a security-minded person attend daily scrum calls to understand how things are built is a powerful way to foster trust, though the model can be resource-intensive. “Just doing that is seen as an effort from the security teams to get more involved, more embedded.”

• An empathy engine: While direct human partnership is key, Bhartiya believes technology can be used to scale one of security's oldest challenges: the people problem. “It sounds weird, but we should explore using agents to help with stakeholder relationships,” he suggests. “Security engineers, in my experience, can struggle with empathy and understanding the pain points of other teams. What if we built a system that understands how our organization works and can communicate in a way that aligns with our culture? You want a culture where people proactively come to security, not the other way around.”