Artificial intelligence is democratizing development. It’s no longer just engineers pushing code. Sales, HR, and marketing teams are now building tools, automations, and internal apps using low-code and no-code platforms powered by AI. The upside: faster delivery and operational efficiency. The downside? A dangerously widening gap in application security.
According to Ami Luttwak, CTO and co-founder of Wiz, the developer to security ratio has exploded from 100:1 to nearly 1,000:1. In an enterprise landscape where innovation cycles shrink by the quarter, this imbalance is a ticking time bomb.
Why Security Is Struggling to Keep Up
In a recent conversation at RSAC 2025, Luttwak warned that while AI supercharges productivity, it also severely limits visibility. Security teams are forced to protect dynamic environments without the luxury of halting progress. As internal tools and external applications spin up rapidly, oversight shrinks.
And it’s not just about speed. It’s about alignment. The lack of structured collaboration between development, engineering, and security functions is creating blind spots, particularly around data governance and access controls.
For companies working with 247 Labs on custom solutions, we’ve seen firsthand how this tension manifests. From AI-powered healthcare portals to logistics optimization engines, the pressure to move fast must be matched with secure by design principles. That’s why our workflows embed security from day one, without slowing velocity.
3 Lessons for Tech Leaders Navigating the AI Security Tradeoff
• Build a culture of shared responsibility. Security isn’t a back-office concern anymore. It needs a seat at the planning table, not just the review cycle.
• Invest in observability tools. Visibility into app behaviors, API usage, and user data flows is no longer optional. Especially with AI agents driving automation at scale.
• Simplify compliance through architecture. At 247 Labs, we often re-architect legacy stacks to make compliance automated, not reactive. That means secure pipelines, encrypted data flows, and access tiering by default.
Looking Ahead: The Enterprise AI Security Nexus
As organizations race to adopt AI for competitive advantage, the winners will be those who secure innovation at scale. According to Luttwak, vendors must focus on reducing security complexity while still meeting diverse enterprise needs.
This philosophy is deeply embedded in our custom development work at 247 Labs. Whether building next-gen SaaS platforms or AI-enabled internal tools, our approach blends speed with security, without compromise.
Want a clearer path to innovation that doesn't compromise data integrity?
→ Let’s talk about building secure AI-powered solutions, custom fit to your enterprise. Contact 247 Labs
