Arctic Wolf vs Check Point Software Technologies

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.

AI agents that triage alerts, investigate, hunt threats and recommend or take response actions inside Arctic Wolf's managed detection and response service.

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.

Provides AI capabilities for threat prevention, behavioral detection, and security workflow automation within the Aurora Superintelligence Platform.

AI-traffic inspection delivered in Check Point firewall software release R82.20, so an existing physical or virtual Check Point firewall discovers employees' AI apps and agents, governs MCP traffic, stops sensitive data leaving in prompts and blocks prompt injection inline before it reaches an LLM.

Generative AI assistant for security administrators, formerly AI Copilot, that knows a customer's policies, access rules, objects and logs and answers in chat, creating and updating firewall and DLP rules, guiding incident investigation and writing playbooks across the Check Point platform.

Check Point Email Security uses AI to investigate and prevent email threats.

Discovers which AI apps, browser extensions, coding assistants, desktop agents and MCP tools employees use, sanctioned or shadow, and applies per-app policy and AI-powered data-loss prevention that redacts sensitive data from prompts, uploads and files, deployed through a browser extension or desktop agent.

Runtime security for AI applications and agents, formerly Lakera Guard: inventories agents across cloud and low-code platforms, scores each agent's risk, restricts which tools and MCP servers it may call, and screens prompts, responses and tool use for prompt injection, data leakage and unauthorised actions.

Uses AI agents that reason like an attacker to test whether each vulnerability, leaked credential or exposed asset is actually exploitable, enriching findings with live threat intelligence, checking existing controls, running safe attacker-style validations reviewed by a separate AI safety reviewer, and returning only proven exposures.

Multi-agent system for network security operations in which specialist AI agents, coordinated by a master orchestrator over a live knowledge graph of the customer's topology and rulebase, turn plain-language intent into firewall rules, tighten over-permissive policy, troubleshoot failing flows and map changes to DORA, PCI-DSS and NIST, with high-impact changes routed for human approval.

Check Point XDR correlates security events to uncover and prevent cyberattacks using AI.

Check Point's threat-intelligence and prevention engine, fed by telemetry from 150,000 connected networks and millions of endpoints, that runs more than 50 AI and traditional engines for zero-day phishing, unknown malware, anomaly and DNS-tunnelling detection and shares verdicts across Check Point's network, cloud, endpoint and workspace products.

Check Point security software for AI data centres and neocloud providers that runs on NVIDIA BlueField DPUs beside GPU servers, providing network, host and code-level protection against model theft, data poisoning, model inversion and exfiltration without taking compute from AI workloads, with multi-tenant management.