TECH

ThreatCloud AI: AI-powered cybersecurity for real-time defense

ThreatCloud AI is Check Point's approach to transforming cyberattack prevention and response. It combines global telemetry, AI engines, and distributed enforcement points to anticipate, resolve, and neutralize threats in seconds. It positions itself as the "brain" of digital defenses, focusing on reducing the window between detection and execution of automated measures.

In a scenario where attackers exploit automation and generative models to accelerate campaigns and bypass traditional controls, ThreatCloud AI's approach is proactive: it dynamically models organizational risk, identifies suspicious behavior before impact, and orchestrates prevention policies across the entire enterprise—network, cloud, endpoints, and identity—with native integration into Check Point's Infinity ecosystem.

Global telemetry and threat intelligence: aggregates data from distributed sensors and proprietary research sources to maintain a live map of indicators and campaigns, strengthening coverage of known and emerging threats. According to Check Point, the system combines dozens of AI engines with big data from networks and endpoints for classification and prevention at scale.

Dynamic risk model: Builds a contextual view of the organization's attack surface, correlating users, assets, identities, applications, and potential intrusion paths, prioritizing what truly matters.

Automated decision-making in seconds: Applies preventive controls in real time—policy updates, isolating suspicious sessions, blocking attack paths, and hardening configurations—

drastically reducing the time between detection and response.

Distributed and consistent execution: Orchestrates agents from the network (gateways), cloud, and SaaS, to endpoints and identity, to ensure consistent policies and coordinated defenses, minimizing gaps between domains.

Check Point has been reporting a rise in attacks that exploit automation and AI, with greater pressure on sectors such as healthcare, finance, and retail. The investment in ThreatCloud AI addresses the need for adaptive defenses that keep pace with attackers, reducing false positives and scaling decision-making based on signals from multiple domains.

ThreatCloud AI represents an evolution of the defense model: it moves from reactive to proactive, moving closer to a "digital strategist" who understands context, anticipates behaviors, and executes responses with consistency across domains.

For organizations under pressure from attackers using AI and automation, Check Point's proposal is to scale security decisions with speed and precision, translating into operational resilience and tangible risk reduction.

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