Netskope (NTSK) Q1 FY27 earnings call: guidance and Q&A

How confident is Netskope in its AI product market fit, especially given the rapid growth of AI companies, and why is net new ARR lower despite increased S&M spend?

Sanjay highlighted the recent release of AI security products, the fastest-growing pipeline in company history, an 80%+ POC win rate, and record high gross retention rates. He attributed the net new ARR dip to tough prior-year comparisons and expects acceleration in H2 FY27 as new sales reps ramp.

“For us, when customers try our technology, they love it. We have the highest GRR we've ever had in our history. We grew new logos by close to 60% year-on-year.”

asked by Brad Zelnick · answered by Sanjay Beri

What are the adoption trends for the new AI modules versus the rest of the portfolio, and are these new modules easier for sales reps to sell?

Sanjay noted unprecedented pipeline growth for AI security products. He explained that the unified Netskope One platform, with its single console and network, makes it very easy for customers to adopt new products, including the organically built AI security solutions, which simplifies sales.

“We've never seen a product pipeline grow like it has for the AI Security products. And so every conversation I'm in within 6 minutes, they want to talk about that.”

asked by Meta Marshall · answered by Sanjay Beri

Can you elaborate on the competitive landscape and the pricing strategy for the new AI security products?

Sanjay stated that new AI security products are priced per transaction (prompt and response), and AgentSkope agents use outcome-based pricing. He emphasized that Netskope wins on value and technology, not low-ball pricing, and maintains over 80% POC win rates.

“So first of all, all the new AI security products are priced by transaction. So a transaction is like a prompt and response.”

asked by Simran Biswal · answered by Sanjay Beri

What is driving the increased confidence in the raised FY27 revenue guidance?

Drew attributed the raised guidance to the expected ramp-up of sales reps, with the peak hiring occurring in the second half of the previous year, and strong demand for the five newly released AI products. He expects net new ARR to reaccelerate in the second half.

“We believe we'll start to see the return of that as they become fully productive. And so it's the ramping of the reps, as we've mentioned many times before.”

asked by Simran Biswal · answered by Andrew Del Matto

How does Netskope navigate platform consolidation trends and pricing in the current dynamic environment, and what is the outlook for net retention rate?

Sanjay believes CIOs/CISOs seek a few open core platforms, not just one, and Netskope consolidates over 20 point solutions. He reiterated 80%+ POC win rates, emphasizing value over price. Drew noted record high GRR and that NRR, currently at the lower end of the mid-teens range, has opportunity to improve with the strong AI pipeline and ramping reps.

“I think we're probably at the lower end of that right now. But obviously, with the strong AI pipeline and the reps ramping, we think we have an opportunity to certainly go up from there.”

asked by Keith Bachman · answered by Andrew Del Matto

How have customer conversations evolved, and what specific problems are customers looking to Netskope to solve with SASE?

Sanjay outlined key use cases: securing and accelerating broad internet access for humans and AI agents, managing third-party risk and contractors with Zero Trust, unifying data protection across the AI ecosystem and various data stores, and consolidating network infrastructure by leveraging NewEdge.

“One, customers want to be able to secure and accelerate their broad Internet access for web, for SAAS, for AI. And that could originate from a human, could originate from an agent could originate from a robot, whatever it is, they know that wait a minute, at some point, a user, an agent, a robot, it needs to go hit something and access something to get information.”

asked by Robbie Owens · answered by Sanjay Beri

How do sales cycles for AI products compare to core SASE, and is there an established budget owner for AI security, or is it net new spend?

Sanjay stated that AI security is in its infancy, with customers still figuring out how to secure AI usage, much of which is shadow IT. He noted the AI security pipeline is the fastest growing ever. Budget for AI security is a mix of net new allocations for AI programs and existing security, application, and infrastructure budgets.

“I think that budget is a mix. Some of it comes from a net new budget as they roll out AI programs. There's generally just like you roll out an app, there's generally a percentage of that attached to security.”

asked by Richard Poland · answered by Sanjay Beri

Are customers still in an evaluation phase for AI security, and when is a meaningful inflection in demand expected?

Sanjay confirmed that customers are in an evaluation phase, learning best practices for securing AI, as there's no established playbook. He highlighted the strong AI security pipeline and expects adoption to accelerate, particularly in the second half of the year, as customers mature in their understanding and implementation.

“I think what you're seeing is that -- as I mentioned, the pipeline that we've seen for Security, fastest growing we've ever seen, people are in the infancy. And we do see adoption starting at least in our case, more in the second half.”

asked by Ethan · answered by Sanjay Beri