Arctic Wolf vs Palo Alto Networks

Endpoint protection built on Cylance's predictive AI model, sold as Aurora Protect (next-generation antivirus that blocks malware before execution), Aurora Endpoint Defense (EDR with behavioural detection and threat hunting), managed tiers triaged by Arctic Wolf's SOC, and Aurora Mobile Threat Defense for phones and tablets.

A service that monitors networks, endpoints, and cloud environments and responds to threats through the Aurora Agentic SOC.

A managed extended detection and response service for endpoints with alert triage by the Aurora Agentic SOC.

Uses on-device AI to protect mobile devices against phishing, malicious applications, and risky networks.

Generative AI assistant in Arctic Wolf's Unified Portal, built with Anthropic, that answers security questions in twelve languages, summarises alerts and adds context to the customer's open tickets, vulnerabilities and incident trends as a 24/7 self-service companion to the Concierge Security Team.

Embeddable malware-detection engine licensed to OEMs that brings the machine-learning model inside Aurora Endpoint Security to other products, scoring files and assigning a reputation verdict offline or online for network gateways, SaaS file scanning, sandboxes, medical devices and IoT.

The technology underneath Arctic Wolf's security operations services: an open data pipeline that ingests and enriches telemetry from a customer's existing tools, the Security Operations Graph of curated security data, the Swarm of Experts agent framework and an AI Trust Engine that bounds agent autonomy and escalates novel cases to human analysts; the agentic SOC and endpoint security are recorded separately.

A cloud-delivered service within Prisma SASE that discovers shadow AI usage and applies access controls and data loss prevention to generative AI applications.

Advanced DNS Security uses AI to detect and block DNS-layer threats.

Advanced Threat Prevention uses machine learning and deep learning to detect unknown network threats.

Advanced URL Filtering uses deep learning to detect and prevent unknown web attacks.

Autonomous Digital Experience Management uses AI to baseline performance, detect anomalies, and provide remediation playbooks.

Cortex Xpanse uses supervised machine learning to map attack surfaces and prioritize remediation.

Enterprise Data Loss Prevention uses AI to classify sensitive data and prevent data loss.

Enterprise Device Security uses machine learning and AI for device discovery, risk assessment, and protection.

Medical Device Security uses machine learning to recommend access policies for connected medical devices.

Prisma AIRS AI Model Security scans AI models for malicious code, backdoors, and other risks.

Prisma AIRS AI Red Teaming uses AI agents to generate attacks against AI systems.

Prisma AIRS Agent Security verifies agent identities and blocks unauthorized agent actions.

Strata Copilot uses natural language to query infrastructure data.

Advanced WildFire uses machine learning to identify and prevent malware.

Prisma AIRS AI Runtime Security inspects live AI interactions to detect and block threats.

Cortex Cloud uses autonomous AI agents to resolve risks across code, cloud, and security operations.

Endpoint detection and response platform marketed as "the foundation of the AI-driven SOC," with an AI agent assistant (Cortex AgentiX) for investigation and response.

An AI-driven security operations platform that unifies SIEM, SOAR and detection-and-response data with automation and AI agents to run a security operations centre.

Palo Alto Networks' proprietary AI system combining machine learning, deep learning and generative AI to automate threat detection, prevention and remediation across its Strata, Prisma Cloud and Cortex security platforms.

An AI security platform that discovers, scans and protects AI models, agents, applications and data against runtime and posture threats.

Runtime gateway component of Prisma AIRS that inspects and governs traffic to and from AI models and agents.

Prisma SASE uses AI to protect users, applications, data, and devices.

SaaS Security uses machine learning to secure SaaS applications and prevent sensitive data loss.

"The first AI-powered, unified solution for network security management and operations," with an AI assistant (Strata Copilot) and purpose-built AI agents for policy optimization, threat detection and remediation.