Palo Alto Networks uses AI to predict, prevent billions of cyber threats

HUZEFA MOTIWALA
SENIOR DIRECTOR, TECHNICAL SOLUTIONS, INDIA AND SAARC, PALO ALTO NETWORKS

“At Palo Alto Networks, we’ve embedded AI at the core of our prevention architecture to proactively detect and stop unknown threats like zero-day attacks. Our Precision AI identifies 2.3 million never-before- seen threats daily and blocks up to 11.3 billion attacks in real time. From Advanced Threat Prevention, which detects exploit-style anomalies without prior signatures, to Cortex XSIAM 3.0, which processes massive telemetry to automate response within seconds—we use AI not just to detect but to predict and prevent. This transforms security from a reactive process into an autonomous, proactive shield.

As AI becomes foundational to cybersecurity, we believe innovation must be paired with responsibility.

Our secure AI-by-design approach embeds privacy, ethics, and compliance into every layer. We uphold rigorous certifications like FedRAMP, ISO, SOC 2+, PCI DSS, and others to meet global standards. Our models are trained under strict protocols—we never use customer data for training—and are regularly audited for bias, explainability, and fairness. We also apply human-in-the-loop oversight to maintain accountability and ethical integrity, particularly in regions with evolving regulations.

Cybersecurity is a team sport. Through partnerships with technology leaders like Okta, public-private threat intelligence sharing, and the research of Unit 42, we continuously enhance AI models with real-world adversary insights. We ensure transparency and trust through explainable models, audit trails, red-teaming, and compliance with GDPR and CCPA—giving stakeholders confidence in every AI-driven decision.”