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Cylance AI

Cylance AI is an AI-powered Cybersecurity tool — AI predictive endpoint security by BlackBerry. Best for: Cybersecurity. Pricing: Paid (GateOnAI Score: 40/100).

AI predictive endpoint security by BlackBerry

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Cylance AI delivers predictive endpoint protection by analyzing files before they execute. It applies machine‑learning models trained on billions of threat samples to assign a risk score and block malicious code instantly. The engine runs locally, so protection continues even without internet connectivity. By focusing on static code attributes rather than signatures, it stops zero‑day exploits and ransomware before they reach the system. It also integrates with BlackBerry Unified Endpoint Manager to enforce policies across mobile fleets. The lightweight engine consumes under 2% CPU during idle scans, preserving battery life on laptops. Key capabilities include static AI analysis, real‑time behavior monitoring, and a cloud‑managed console for policy distribution. Administrators can create whitelist or block lists, schedule automatic model updates, and generate threat‑hunt queries across all endpoints. The platform supports Windows, macOS, Linux, and iOS/Android devices, and integrates with SIEMs and EDR solutions via REST APIs. Pricing is subscription‑only, billed per endpoint, with enterprise‑grade SLA and 24/7 support. It provides forensic snapshots of file hashes and execution paths for post‑incident analysis. Role‑based access control limits console permissions to senior analysts. API keys rotate automatically every 30 days for credential hygiene. Compared with traditional signature AV, Cylance AI reduces false positives and eliminates the need for frequent signature downloads. Security operations centers benefit from centralized dashboards that surface risk scores and allow rapid quarantine of compromised machines. The solution fits large enterprises, managed service providers, and regulated industries that require offline protection and compliance reporting. Its main drawbacks are higher upfront licensing costs and limited on‑premise reporting customization. The product can operate in air‑gapped networks, making it suitable for critical infrastructure. However, the ecosystem lacks third‑party plugins, restricting extensibility.

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