Palo Alto Networks (PANW) Bank of America Global Technology Conference 2025 summary
Event summary combining transcript, slides, and related documents.
Bank of America Global Technology Conference 2025 summary
3 Feb, 2026Platformization and integration strategy
Platformization in cybersecurity is about converging point products into integrated platforms, enabling unified policy management and consistent data for advanced technologies like AI.
Integration of acquisitions is advanced, with most products now connected, especially after rewriting the cloud backend on the Cortex data platform.
The shift from Prisma Cloud to Cortex reflects the need to unify enterprise and cloud data for real-time security capabilities.
Go-to-market strategy leverages platform expansion, with customers often starting with one product and expanding to others, and larger deals increasingly involving C-level executives.
System integrators play a key role in cloud and AI transformations, with partnerships ensuring effective implementation without margin impact.
Market environment and spending trends
The spending environment is volatile, influenced by macroeconomic shocks like tariffs, but has normalized after initial disruptions.
Despite uncertainty, enterprises continue to prioritize AI and digital transformation initiatives.
Platformization is hindered by existing investments in legacy security solutions, but inflection points such as breaches or technology shifts drive migration to platforms.
SIEM market is currently inflecting, with many companies planning replacements or migrations in the next 12–24 months.
AI and security innovation
Prisma AIRS is introduced as a standalone, measurable AI security platform focused on securing enterprise AI deployments against data leakage, model hijacking, and prompt injection.
Enterprises are experimenting with multiple AI models, increasing the security attack surface and necessitating robust protection.
The security of AI requires persistent testing and red teaming due to the unpredictable nature of AI outputs.
Using AI for security depends on high-quality data, and the new SIEM approach enables more comprehensive data collection at lower cost.
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