An Interview with Kapildev Deivasigamani, Director of Technical Consulting
By Digital Journal Staff Writer | May 2025
In an era of rising cyber threats, accelerated development cycles, and rapidly evolving compliance mandates, securing the software development lifecycle is no longer optional—it’s mission critical. Kapildev Deivasigamani, a seasoned enterprise technology leader with over 20 years of experience across highly regulated sectors, shares how artificial intelligence is reshaping the landscape of DevSecOps and what it means for the future of digital trust.
Digital Journal: Kapildev, you’ve led major digital transformation programs across healthcare and financial sectors. What changes have you seen in the way security is integrated into enterprise software?
Kapildev Deivasigamani: Security has evolved from a reactive task to a continuous discipline. In regulated environments, security can’t afford to be bolted on after development—it has to be embedded at every phase. That’s where AI plays a critical role: it helps automate detection, enforce standards, and elevate the efficiency of secure software delivery.
Digital Journal: What exactly does “AI-driven DevSecOps” look like in real-world settings?
Kapildev: It’s about enhancing DevSecOps workflows with AI at key points—whether that’s identifying insecure coding patterns during commits, generating threat models automatically, or enforcing compliance gates within CI/CD pipelines. AI doesn’t just monitor; it participates. It augments the team by identifying and sometimes remediating risks faster than a human could.
Digital Journal: Can you give an example from a past engagement?
Kapildev: One project involved modernizing digital infrastructure for a national healthcare provider. We introduced AI models trained to detect misconfigurations, secret exposures, and unusual access patterns across their codebase. This approach helped reduce vulnerability dwell time by over 40% and boosted overall deployment confidence, even under strict HIPAA compliance requirements.
Digital Journal: What are the risks of over-relying on AI in security?
Kapildev: Blind trust in AI is dangerous. If models are trained on biased or incomplete data, they can miss critical issues—or raise false flags that slow down developers. That’s why human-in-the-loop governance is essential. You want AI to amplify judgment, not replace it.
Digital Journal: Does this shift require new developer skillsets?
Kapildev: Absolutely. Developers need to understand how to interface with AI—through prompt engineering, interpreting recommendations, and managing outputs responsibly. Security teams must evolve too, learning how to validate AI insights, audit models, and ensure ethical use.
Digital Journal: Speaking of ethics—how do you ensure AI is being used responsibly?
Kapildev: Transparency and traceability are non-negotiable. We document how models are trained, evaluated, and deployed. We include humans in the loop for final decisions, especially where sensitive data or logic is concerned. Responsible AI is secure AI.
Digital Journal: How does this all support broader enterprise goals?
Kapildev: Trust and agility must coexist in modern software delivery. If you can deliver faster without compromising integrity, you’ve hit the sweet spot. AI-enabled DevSecOps helps organizations scale both trust and innovation—safely and repeatably.
Digital Journal: What’s your prediction for DevSecOps in the next five years?
Kapildev: We’ll see more autonomous security orchestration—AI systems that adapt in real time to threats, reconfigure pipelines, and even issue patches automatically. But humans will always play a role in steering, auditing, and evolving those systems. AI is a partner, not a replacement.
Digital Journal: One last question—what’s your advice for tech leaders today?
Kapildev: Start early. Build your AI-secure foundation now. Don’t chase hype—chase value. If your teams can collaborate with AI to scale secure innovation, you’re setting up your enterprise—and your customers—for long-term success.
