CIO Classified

Nik Seetharaman has watched the offensive side of cybersecurity adopt AI tools at a pace defenders can't match. So, he built a company to close that gap. 

Before founding Wraithwatch, he was the first CIO of Andel, a defense tech company he joined when it was 100 people and helped scale through hypergrowth. His path (Palantir to SpaceX to building AI-native cyber defense platforms for over a dozen federal agencies) gives him a view most CIOs and CISOs don't have.

In this episode, Nik makes the case that AI has created a forcing function for CIOs and CISOs to finally work together, plus, shares how to run a pilot that actually moves the needle, why blocking AI tools backfires, and what the OpenClaw security drama gets right and wrong.

3 Takeaways:

The CIO-CISO turf war is now a competitive disadvantage. Whoever figures out AI collaboration first wins.

Treat every internal AI rollout like a startup: small cohort, parallel security review, measure the outcome in revenue.

The best investment a new CIO can make isn't a security stack—it's coffee with people.

Chapters:

[01:46] What Wraithwatch Builds

[05:25] AI Forces CIO / CISO Alignment

[07:55] OpenClaw Security Tradeoffs

[09:21] SecOps at Developer Speed

[12:49] Rolling Out Risky Tools

[14:44] Why Leaders Must Use AI

[19:01] How to Reorg for the AI Era

[22:30] Vendor Hunting for Grand Slams

[25:49] $30M Contract and What's Next

About Nik: 
Nik Seetharaman is the Founder and CEO of Wraithwatch, a next-generation cyber defense company building AI-native command-and-control platforms for the United States and its allies. He co-founded the company alongside fellow SpaceX alumni Grace Clemente and Carlos Moss. Before starting Wraithwatch, Nik served as the first CIO of Andel, a defense technology company he joined when it was approximately 100 people, where he built the cybersecurity function from the ground up and saw the company through hypergrowth. His career spans cybersecurity leadership roles at Palantir, SpaceX, and Andel, giving him a rare vantage point across the offense-defense asymmetry that defines today's threat landscape. 

Guest Highlights:
"You can't have the attackers operating at the speed of a machine out here, and the defenders operating at the speed of a human in here."

"Any business that's able to figure out this equation and execute it successfully is going to just crush their competition—because they're gonna move at warp speed and their competition will still be moving at human speed."

"If I could rewind my first days at Andel, it's not to deploy more controls, it's not to learn about some new security stack or software—I would've just had more coffee with people. The human capital you build doing that pays off in spades. Because that's the thing that's rare in an age where the machines are taking over."

Get Connected:

Ian Faison: https://www.linkedin.com/in/ianfaison

Nik Seetharaman: https://www.linkedin.com/in/nikseetharaman/

Resources:

OpenClaw: https://openclaw.ai

LangChain: https://www.langchain.com

Cursor: https://cursor.com

Our Sponsor: 

Want to accelerate software development by 500%? Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose-built for large, complex enterprise-scale codebases.

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With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint. Blitzy handles the heavy lifting, delivering over 80% of the work autonomously. The platform plans, builds, and validates premium-quality code at the speed of compute, turning months of engineering into a matter of days.

It’s the secret weapon for Fortune 500 companies globally. To hear how engineering leaders are transforming the way they deliver software, visit blitzy.com. Schedule a meeting with their consultants to enable an AI-Native SDLC in your organization today.

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When Ellora Sengupta joined EverCommerce as CIO, she inherited the IT of over 50 acquisitions — multiple operating models, fragmented tech stacks, and business units that had zero reason to trust a central IT function. 

Most CIOs would have reached for a consolidation roadmap. Ellora reached for something better: earning the right to be plugged into, instead of just mandating it. In this episode, Ellora tells Yousuf how she's drawn the line between what actually needs to be standardized and what should be left alone so acquired businesses keep their edge. 

Key Moments:

[00:01:00] What Is EverCommerce — and What Makes 50+ Acquisitions So Unusual

[00:03:00] The CIO's Real Job: Standardize Some Things, Protect Others

[00:04:30] What Multi-Acquisition IT Looks Like vs. Organic Growth

[00:05:00] How Ellora Built Trust with Business Units That Didn't Ask for IT

[00:07:30] High-Growth SaaS DNA: Customer Obsession, Speed with Discipline, and AI

[00:09:30] Why AI Doesn't Get Its Own Budget at EverCommerce

[00:11:00] The Personal Story: Starting Over as an Immigrant with Zero Network

[00:15:30] How Her Leadership Philosophy Evolved — and the Family Myth She Unlearned

[00:17:30] Running the SVASE CIO Educational Fund and Giving Back

[00:21:00] The Skills That Actually Matter for Future IT Leaders

[00:22:00] Lightning Round

About Ellora: 
Ellora Sengupta is the CIO of EverCommerce, where she oversees enterprise applications, data and analytics, security, corporate IT, infrastructure, and enterprise PMO across a portfolio built through 50+ acquisitions. She brings a "General Manager" mindset to IT leadership, having scaled technology functions at high-growth pre-IPO companies and $50B+ enterprises alike — including stints at Procore, Samsara, Cisco, and Workday. Ellora was named Bay Area CIO of the Year in the 2022 ORBIE Awards (Large Corporate category). She currently serves as president of the SVASE CIO Educational Fund, raising scholarships and providing mentorship for underprivileged students pursuing careers in technology.

Guest Highlights:

"My success is not how fast can I standardize or make things consistent. My success is — are those vertical businesses ready to plug into the shared services that my team is creating because it makes them better."

"Your team is not your family. In a family, it's unconditional. But in a team you need everybody to perform. It doesn't help anyone if you are carrying along a non-performer — the rest of the team has to carry that slack."

"I don't have a separate budget for AI. I have a budget and I need to make sure that my tools are AI enabled."

- Visit ciopod.com for more episodes. Check out our new YouTube channel and subscribe to never miss an episode.

Our Sponsor: 

Want to accelerate software development by 500%? Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose-built for large, complex enterprise-scale codebases.

While other AI coding tools provide snippets of code and struggle with context, Blitzy ingests millions of lines of code and orchestrates thousands of agents that reason for hours to map every line-level dependency.

With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint. Blitzy handles the heavy lifting, delivering over 80% of the work autonomously. The platform plans, builds, and validates premium-quality code at the speed of compute, turning months of engineering into a matter of days.

It’s the secret weapon for Fortune 500 companies globally. To hear how engineering leaders are transforming the way they deliver software, visit blitzy.com. Schedule a meeting with their consultants to enable an AI-Native SDLC in your organization today.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Two words that make most engineers shudder: code refactoring. Now raise the stakes — refactoring decades of legacy systems inside a large enterprise.

A tech debt-heavy project of this scale needs a leader who has driven complex digital transformations, like Gayatri Narayan (formerly PepsiCo, Microsoft, Amazon). Now, as President of Technology at Builders FirstSource, Gayatri Narayan is achieving a 3–4x increase in engineering velocity since joining less than a year ago. 

Gayatri joins host Yousuf Khan to unpack the strategy behind those results, including how to deploy AI across the SDLC, how to rigorously evaluate ROI on AI investments, and how to lead change across complex enterprise tech stacks.

Key Moments:

01:30 – Why Construction Technology Is Ready for Transformation

04:05 – AI Strategy: Elevating UX and Customer Experience

08:20 – Evaluating AI Investments: ROI, NPV, and Operating Costs

12:45 – Achieving 3–4x Engineering Velocity

16:05 – Humans in the Loop: Craft, Code Review, and AI Amplification

18:35 – Where the Industry Gets AI Adoption Wrong

20:30 – Leadership Advice: Start with the Customer

About Gayatri: 
Gayatri Narayan is a general management executive with more than 15 years of experience leading product, engineering, data science, and operations across global enterprises, with full P&L responsibility and a track record of driving profitable growth through digital transformation. 

She currently serves as President of Technology at Builders FirstSource, where she leads enterprise technology strategy, modernizes legacy systems, and embeds AI into the software development lifecycle to accelerate innovation across the residential construction value chain. 

Previously, she served as Senior Vice President of Digital Products and Services at PepsiCo and held multiple general management roles at Microsoft, including leading Product and Engineering for Intelligent Communications across Teams and Skype as well as Enterprise PaaS and SaaS businesses; she also held leadership roles at Amazon spanning Marketplace Transportation and Logistics and several major retail categories.

Guest Highlights:

“We’ve seen a three to four times increase in engineering velocity — especially in refactoring legacy systems where historically there was very little knowledge of how the system actually worked.”

“With generative AI, companies that have existed for 20 or 30 years don’t have to get bogged down by legacy stacks. They can embrace emerging technologies without spending 18 to 24 months just refactoring.”

“It really comes down to efficiency of time. The developer’s surface area of impact expands dramatically — it’s not just about writing code anymore, it’s about delivering business value faster.”

Visit ciopod.com for more episodes. Check out our new YouTube channel and subscribe to never miss an episode.

Our Sponsor: 

Want to accelerate software development by 500%? Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose-built for large, complex enterprise-scale codebases. 

While other AI coding tools provide snippets of code and struggle with context, Blitzy ingests millions of lines of code and orchestrates thousands of agents that reason for hours to map every line-level dependency. 

With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint. Blitzy handles the heavy lifting, delivering over 80% of the work autonomously. The platform plans, builds, and validates premium-quality code at the speed of compute, turning months of engineering into a matter of days. It’s the secret weapon for Fortune 500 companies globally. 

To hear how engineering leaders are transforming the way they deliver software, visit blitzy.com. Schedule a meeting with their consultants to enable an AI-Native SDLC in your organization today.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On this episode of CIO Classified, host Yousuf Khan sits down with Ravi Thadani, Global Head of IT at Enphase Energy, a company powering over 5 million homes across 160 countries with clean, solar-driven energy. With 85 million microinverters producing 30 gigawatts of power, Ravi’s team is at the epicenter of a massive, real-time data operation—and every IT decision directly impacts the customer experience.
About Ravi: 
Ravi Thadani is a seasoned IT executive with extensive experience leading large-scale digital transformations across Fortune 500 companies. He has driven strategic initiatives across ERP, CRM, PLM, HCM, SCM, analytics, AI/ML, network architecture, cloud infrastructure, and M&A integration. With oversight of multi-$10M budgets and teams of over 300, Ravi has supported business units ranging from $2B to $70B in revenue.
Known for his strategic vision and execution, Ravi is recognized for fostering cross-functional alignment, driving agile transformation, and cultivating high-performing teams. His leadership approach is grounded in strong business partnerships, stakeholder governance, innovation, and a relentless focus on outcomes.
Timestamps:
01:50 – Enphase Energy's Global Operations
03:40 – Ravi's Role and Responsibilities
06:00 – Managing Customer Data and CRM
16:45 – Driving Change as a CIO
19:50 – The Role of Data in AI
20:55 – The Importance of Data Cleaning
21:20 – Effective Data Governance Strategies
23:45 – Architecting for Scalability
27:30 – Challenges in Hardware and Software Integration
Guest Highlights:
"AI isn’t replacing you—people using AI are. The adoption curve is about enabling people to do more, not just reducing headcount."
"The biggest failure point in IT projects? Treating them like IT projects. Every transformation has to be owned by the business."
"Your architecture should always assume 10x growth. Even if you’re not scaling today, you need a conscious plan for when you do."
Get Connected:
Yousuf Kahn on LinkedIn
Ravi Thadani on LinkedIn
Hungry for more tech talk? Check out latest episodes at ciopod.com: 
Ep 65 - Accelerating Software Development at Enterprise Scale
Ep 64 - How Autonomous AI is Solving the Enterprise Modernization Challenge
Ep 63 - How AI is Expanding the CIO Role
Learn more about Caspian Studios: caspianstudios.com
Our Sponsor: 
Want to accelerate software development by 500%? Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose-built for large, complex enterprise-scale codebases.
While other AI coding tools provide snippets of code and struggle with context, Blitzy ingests millions of lines of code and orchestrates thousands of agents that reason for hours to map every line-level dependency.
With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint. Blitzy handles the heavy lifting, delivering over 80% of the work autonomously. The platform plans, builds, and validates premium-quality code at the speed of compute, turning months of engineering into a matter of days.
It’s the secret weapon for Fortune 500 companies globally. To hear how engineering leaders are transforming the way they deliver software, visit blitzy.com. Schedule a meeting with their consultants to enable an AI-Native SDLC in your organization today.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

When you’re managing $60 trillion in assets across dozens of products and 30 global jurisdictions, technical debt isn’t just an inconvenience—it’s an existential risk.
Jason Adams, Interim CTO of Charles River, a State Street Company, leads 800 engineers building mission-critical trading platforms for the world’s largest asset managers. Joined by Sid Pardeshi, Co-Founder and CTO of Blitzy, he explains how State Street is using an AI-augmented SDLC to modernize decades-old systems, refactor legacy code, and dramatically increase developer productivity—without compromising the rigor required in financial services.
Jason frames the strategy around three pillars: 
AI for engineering (copilots and polyglot support),
AI for operations (APM, observability, and proactive monitoring), and
AI embedded in products (LLM-powered explainers).
Using Blitzy’s agentic approach—iterative context building, dependency mapping, and targeted code generation—State Street compressed months of work into weeks while maintaining strict quality gates.
About the Guests:
Jason Adams
Jason Adams is the Interim CTO of Charles River, a State Street Company. He brings deep expertise in modernizing legacy fintech infrastructure into scalable, cloud-native systems that support mission-critical financial services at global scale.
Previously, Jason was Head of Platform Product and Strategy at Charles River Development and CTO of Mercatus (acquired by State Street and now part of Charles River for Private Markets). He has led high-impact initiatives across engineering, product, and cloud infrastructure, with extensive experience guiding end-to-end delivery teams.
Today, Jason is driving a comprehensive SaaS transformation at CRD, focused on building resilient, future-ready architectures. From scaling global engineering organizations to delivering secure, high-performance platforms, he is committed to advancing innovation, agility, and long-term growth across Charles River, State Street Alpha, and State Street.
Sid Pardeshi
Sid Pardeshi is a technology leader and entrepreneur, currently Co-Founder and CTO of Blitzy. He holds a Harvard MS/MBA and previously served as a Software Architect at NVIDIA, where he built deep expertise at the intersection of AI, large-scale software systems, and product innovation.
At NVIDIA, Sid was recognized as a Master Inventor, earning the Inventor’s Jacket for driving AI-powered product innovation, with more than 25 U.S. patents filed across gaming, augmented reality, and virtual reality. He is also a seasoned software engineer with a strong track record in application performance optimization, delivering native client load-time improvements of up to 90%.
Beyond hands-on engineering, Sid has led and coordinated software design, framework requirements, and application architecture across global teams of 500+ engineers. Today, he applies this blend of innovation, technical depth, and organizational leadership to building autonomous software development platforms that help enterprises modernize at scale.
Timestamps:
00:30 – Jason on Managing $60 Trillion in Assets
01:55 – Challenges and Strategies in Financial Services
07:00 – Embracing AI for Modernization
09:10 – AI in Software Development Lifecycle
15:55 – Ensuring Quality and Compliance with AI
23:55 – AI in Operations and Incident Response
26:00 – Proactive Workflow Monitoring
26:20 – AI in SDLC: Creation to Operations
30:00 – Challenges in AI Recommendations
33:20 – Iterative Context Building with AI
36:00 – Human Side of AI Transformation
42:30 – Adopting AI Tools in Financial Services
Guest Highlights:
"One of the things that excites me the most right now is the ability to use an AI-augmented SDLC to drive modernization. Otherwise, with this many systems, it's too hard." — Jason 
"You have to invest in the non-attractive parts first. You have to build a foundation that's gonna support being able to bring on solutions and tools that could change your overall enterprise SDLC. That's a lot of work and that's a major investment." — Jason 
"We are unlocking by adding these additional capabilities and additional assurance that improves quality exponentially more than we could have in the past. Now I can have an agent swarm check itself—multiple agents doing code review at a level of depth we just don't have time to get to." — Jason
Get Connected:
Jason Adams on LinkedIn
Sid Pardeshi on LinkedIn
Yousuf Kahn on LinkedIn
Ian Faison on LinkedIn
Hungry for more tech talk? Check out latest episodes at ciopod.com: 
Ep 63 - How Autonomous AI is Solving the Enterprise Modernization Challenge
Ep 62 - Running IT Like a Growth Engine
Ep 61 - What Manufacturing Can Teach You About Scaling Enterprise AI
Learn more about Caspian Studios: caspianstudios.com

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.