Detect threats before they strike

Transform network traffic into a safeguard against cyber threats with Prophetic AI

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Cut off attackers' communication before exfiltration and encryption with AI threat detection

Cut through the noise, detect real threats with Moses AI

Prophet equips SOC teams with real-time detection and fewer false positives.

Real-time Detection

Moses AI Identifies novel attacks by analyzing diverse data types and recognizing subtle anomalies, staying ahead of emerging threats.

Reduced False Positives

Moses AI reduces alert fatigue through its deep understanding of network behavior. Save time and resources by focuses solely on legitimate threats.

Continuously Learning

Moses AI continuously learns and adapts to new threats. Providing a proactive defense that evolves with the threat landscape.

Purpose-built infrastructure for threat detection

Intuitive deployments

Prophet deploys a single node that can be configured to collect all network traffic in all environments.

Unify all network traffic

Prophet stitcher ingest collects and merges different traffic types into a meaningful, unified view of all network activity.

Store and analyze over-time

Prophet stores network evidence overtime giving organizations a baseline for normal traffic behavior.

Detect threats in real-time

Prophet’s advanced AI threat detection is the first transformer based neural AI trained on network traffic; capable of analyzing network traffic across multiple dimensions in real time.

Prophet proactively analyzes all network traffic for subtle indicators of compromise that go unnoticed by other systems.

Core features of advanced threat detection

Early Stage Attack Detection: Detect critical stages of novel attacks, including command and control (C2) and data exfiltration.

Advanced Behavioral Analysis: Establish a baseline for normal network behavior and identify deviations for proactive defense.

Attack classification: Classifying network attacks and alert teams before they strike.

Core features of advanced threat detection

Early Stage Attack Detection: Detect critical stages of novel attacks, including command and control (C2) and data exfiltration.

Advanced Behavioral Analysis: Establish a baseline for normal network behavior and identify deviations for proactive defense.

Attack classification: Classifying network attacks and alert teams before they strike.

Core features of advanced threat detection

Early Stage Attack Detection: Detect critical stages of novel attacks, including command and control (C2) and data exfiltration.

Advanced Behavioral Analysis: Establish a baseline for normal network behavior and identify deviations for proactive defense.

Attack classification: Classifying network attacks and alert teams before they strike.

Core features of advanced threat detection

Early Stage Attack Detection: Detect critical stages of novel attacks, including command and control (C2) and data exfiltration.

Advanced Behavioral Analysis: Establish a baseline for normal network behavior and identify deviations for proactive defense.

Attack classification: Classifying network attacks and alert teams before they strike.

Next-gen Neural AI

Actively monitor all traffic and detect threats with Moses AI—Prophet's advanced AI threat detection engine.

Moses AI is powered by transformer-based neural networks trained on network traffic to detect network-based attacks.

Moses AI proactively analyzes network traffic across multiple dimensions to understand the context within data sequences to detect subtle indicators of compromise.

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