As artificial intelligence evolves from experimental deployments into foundational digital infrastructure, the conversation is increasingly shifting beyond model performance toward the resilience and security of the systems that support it. The AI Impact Summit 2026 Power Index: Leaders Driving the Next Infrastructure Era is not simply a list of influential names, it is a reflection of the people redefining how intelligence is developed, deployed, and governed at scale.

Power Index Profile:
Lakshmi Das, Co-Founder, COO – Prophaze Technologies

Lakshmi Das is the Co-Founder of Prophaze Technologies, an AI-driven application security platform focused on protecting modern cloud and API infrastructures. With over a decade of experience across cybersecurity, healthcare, retail, and logistics technology, she began her career at Infosys contributing to enterprise banking platforms before moving into cybersecurity innovation.

Under her leadership, Prophaze has grown into a globally recognized cybersecurity product company, earning multiple industry recognitions for its innovation in application security. The company was twice recognized in the KuppingerCole Leadership Compass for Web Application Firewall (WAF) in 2022 and later named Product and Overall Leader in 2024. Prophaze was also recognized by Gartner®, being featured in the 2024 Gartner® Market Guide for API Protection, the 2025 Gartner® Market Guide for Cloud Web Application and API Protection (WAAP), and the 2025 Gartner® Peer Insights Voice of the Customer for Cloud WAAP. In addition, the platform was named a High Performer in the G2 Fall 2024 Grid® Report. Lakshmi’s entrepreneurial journey has earned national recognition, including the Emerging Entrepreneur Award presented by Padma Shri Bharat Mammootty. She was also invited to the Prime Minister’s Office in India to participate in a strategic roundtable discussion on Artificial Intelligence and innovation.

We had the opportunity to speak with Lakshmi Das to explore her perspectives on scaling AI infrastructure securely, the evolving role of application security in AI ecosystems, and the steps organisations must take to build resilient digital foundations for the next generation of intelligent systems.

Below is her exclusive, unfiltered commentary from her panel at the AI Impact Summit, where she shares her perspective on scaling AI infrastructure securely and strengthening the application ecosystems that support modern intelligent systems.

Commentary – Scaling AI Infrastructure & Security

“As artificial intelligence continues to evolve from experimental deployments to critical infrastructure, the conversation around AI must extend beyond model capability toward the resilience of the systems that support it. Modern AI environments are deeply connected to APIs, distributed cloud platforms, and microservices architectures, creating complex digital ecosystems where scale and security must advance together.

True resilience in AI infrastructure requires continuous visibility into application behaviour and the ability to detect anomalies across interconnected services in real time. The challenge is not only defending models but securing the entire pipeline, the APIs, data exchanges, and application layers that enable intelligent systems to operate at scale.

As AI becomes embedded into national infrastructure, enterprise platforms, and public digital services, trust will become the defining factor of adoption. Building secure, transparent, and resilient application ecosystems will therefore be essential to ensuring that AI innovation can scale responsibly and sustainably.” 

Das’s perspective reflects a broader reality facing organisations as AI adoption accelerates: the need to secure not just intelligent models, but the complex application ecosystems that enable them to function. As APIs, microservices, and cloud-native platforms become the operational backbone of AI systems, ensuring their resilience and security will be critical to sustaining trust in the next generation of digital infrastructure.

Technology in Action: Recent Initiative / Product Highlight

Prophaze is advancing this vision through its AI-powered Application Security Platform designed for cloud-native environments. The platform secures APIs, microservices, and Kubernetes-based applications through integrated Web Application & API Protection (WAAP), real-time threat detection, and adaptive security controls that protect modern digital and AI-driven infrastructures.

Steering the Future

As the digital world becomes increasingly powered by intelligent systems, the conversation around AI infrastructure is expanding to include the security and stability of the environments in which these systems operate. Lakshmi Das’s work highlights how safeguarding applications, APIs, and cloud-native architectures is becoming a fundamental pillar of the AI era. Her perspective reinforces the idea that innovation must be supported by strong, resilient security frameworks that allow organisations to scale AI with confidence.

Through her leadership at Prophaze Technologies, Das continues to champion a future where application ecosystems are designed with security at their core. Her insights illustrate that building trusted AI systems requires more than technological advancement, it requires an ongoing commitment to protecting the digital pathways that enable intelligence to function safely and reliably.

The AI Impact Summit 2026 Power Index ultimately recognises the individuals shaping these critical layers of the technology landscape. As this conversation shows, leaders like Lakshmi Das not only advance cybersecurity innovation but also help organisations secure AI infrastructure, strengthen resilience, and prepare digital systems for the scale of the future.