Bloomberg Talks — Episode Summary

Palo Alto Networks CEO Talks CyberArk Acquisition

Date: February 18, 2026
Host: Ed (Bloomberg News)
Guest: Nikesh Arora (CEO, Palo Alto Networks)

Episode Overview

This episode features an interview with Nikesh Arora, CEO of Palo Alto Networks, focusing on the company’s recent CyberArk acquisition, recent earnings results, and broader trends in AI-driven cybersecurity. The discussion covers Wall Street’s response to earnings guidance, the rationale and math behind high-profile acquisitions (CyberArk, Chronosphere, and Koi), and how Palo Alto Networks is positioning itself for future growth in the fast-evolving cybersecurity landscape.

Key Discussion Points and Insights

1. Market Reaction to Earnings and the CyberArk Acquisition

• Ed opens with: Wall Street's apparent confusion over Palo Alto Networks trimming full-year EPS guidance, despite beating revenue expectations.
• Nikesh Arora responds:
  • The market isn’t properly accounting for the CyberArk acquisition and its integration into guidance.
  • Guidance figures include CyberArk’s revenue, and if consensus numbers are added together, Palo Alto Networks is outperforming expectations.
  • The misunderstanding largely results from share dilution effects, which some automated trading systems (“post market bots”) haven’t factored in.
  • Quote: "Our guides are actually above consensus across the board. These are the post market bots which haven't figured this out." (01:22)

2. The Math Behind Growth Metrics

• Analysts are questioning the "next-generation ARR growth" calculation, seeing a supposed drop in organic growth to around 20%.
• Arora clarifies:
  • CyberArk and Palo Alto networks calculate ARR differently.
  • Palo Alto’s method is more conservative, stripping out hundreds of millions from CyberArk’s figures.
  • The combined guidance is actually higher than the sum of previous individual outlooks — but the methodology confusion has muddied analyst perceptions.
  • Quote: "Our computation of ARR is different. It's more conservative than CyberArk. So Cyber Arcs is more as aggressive than ours." (02:23)

3. Chronosphere Acquisition and a Major Customer

• Ed highlights a “nine-figure” Chronosphere deal noted on the earnings call.
• Nikesh Arora (on the customer and rationale):
  • While not naming names, he refers to the client as a "popular LLM [large language model]" provider.
  • Chronosphere is praised as a net-new startup with cost-effective, scalable observability tech.
  • Their ability to "leapfrog" incumbent tools was a major acquisition driver.
  • The deal involves supplanting a legacy vendor and is indicative of Chronosphere's growing market appeal.
  • Quote: "The fact that 250 engineers can build something so amazing that provides a leapfrog opportunity against current players in observability. That's what we bought them for." (03:20)

4. Observability as a Core AI/Agentic Infrastructure Need

• Ed: Why would a cutting-edge AI company outsource security to Palo Alto Networks instead of building it in-house?
• Nikesh Arora explains:
  • Observability isn’t just about inspecting AI models; it guarantees end-to-end system reliability (latency, uptime, performance) for AI products.
  • Major AI companies are focused on their models and research, turning to specialists like Palo Alto Networks for infrastructure dependability.
  • This applies to a wide range of consumer apps, not just AI—Uber, DoorDash, YouTube, etc.—where observability underpins revenue-critical uptime.
  • Quote: "Every one of these [apps] has to have an underpinning observability platform to make sure that it's fully available 99.99% of the time..." (04:44)

5. The Koi Acquisition for Endpoint AI Security

• Ed asks about the Koi acquisition and its specific security problem area.
• Arora outlines:
  • Enterprises are broadly adopting AI coding assistants—like GitHub Copilot, Cursor, and various open-source tools.
  • The locus of coding activity has shifted to developer laptops, creating new security blind spots.
  • Koi targets this gap with specialization in endpoint security for generative AI/dev environments—distinct from traditional Endpoint Detection & Response (EDR) products.
  • Quote: "That's an uncovered area of security. You have to protect that laptop, that endpoint… This is very specific to endpoint security for agenti capability. That's what Koi does." (05:59)

Notable Quotes & Memorable Moments

• Nikesh Arora (on market confusion):

  • "If you take the consensus of Cyber and ours, you're actually getting above the collective consensus." (01:22)
  • "If you look at the adoption of AI at the enterprise end, you are seeing tremendous amount of adoption of coding. People are using cloud code, cursor Codex and many, many open source coding platforms as they use it. All that action is happening at the endpoint at the develop laptop and that's where that's an uncovered area of security." (05:59)

• Nikesh Arora (on observability's role in AI):

  • "Observability is to look at it from an end to end perspective to see... there's nothing in the entire end to end delivery chain that is underperforming." (04:44)

• Ed (on the climate for tech M&A):

  • "You're always honest, you always very specific about M and A..."

Timestamps for Important Segments

• 01:07 — Earnings details and guidance confusion
• 02:00 — Growth metrics, ARR debate, impact of CyberArk accounting
• 03:06 — Chronosphere "nine-figure" deal and customer characteristics
• 04:14 — Observability’s critical role in large AI/Agentic projects
• 05:48 — Koi acquisition and endpoint protection for AI developers

Summary

Nikesh Arora asserts Palo Alto Networks is outperforming expectations, with recent acquisitions (CyberArk, Chronosphere, and Koi) strategically enhancing their cybersecurity offerings to match the accelerating pace of AI adoption and new enterprise development realities. Much of the market’s confusion, he argues, stems from technical differences in reporting and integrating acquired companies, not underlying operating weakness. The firm's strategy is “buying” future credence in observability and endpoint AI security—both fast-growing areas as software and AI capabilities move deeper into enterprise operations. The episode provides a clear, CEO-level view of how security, AI, and M&A are intersecting at the industry’s leading edge.