Perception Point

Uses AI-powered behavioral analysis to identify sophisticated phishing attacks, including polymorphic variants and zero-day threats that bypass signature-based detection. Analyzes email content, sender patterns, and payload behavior in real-time to flag suspicious messages before they reach users.

Identifies compromised email accounts and fraudulent requests using behavioral analysis of sender patterns, communication anomalies, and financial transaction requests. Detects account takeovers and impersonation attacks that traditional gateways miss.

Correlates alerts across multiple channels and integrates external threat intelligence to provide context and reduce false positives. Connects isolated security events to identify coordinated attacks and provides actionable threat intelligence.

Automatically quarantines suspicious emails, files, and messages based on threat detection results. Removes malicious content from user inboxes and cloud storage without requiring manual intervention, reducing exposure time.

Provides guidance and tools for security teams to understand behavioral analysis results, tune detection rules, and minimize false positives. Helps teams develop expertise in advanced threat detection methodologies.

Executes suspicious files and attachments in isolated sandbox environments to observe their behavior without risking production systems. Detects malware variants and zero-day threats through dynamic behavioral analysis rather than signature matching.

Consolidates security alerts and threat data from email, Microsoft 365, Google Workspace, Slack, and cloud storage into a single dashboard. Reduces alert fatigue by correlating events across fragmented communication channels and providing unified visibility.

Provides native integration with Microsoft 365 and Google Workspace to detect threats within cloud productivity platforms. Protects against malicious files, compromised accounts, and suspicious activities within these ecosystems without replacing native security tools.

Scans messages and file shares in Slack and other messaging platforms for malicious content, phishing links, and malware. Detects threats within informal communication channels that are often overlooked by traditional email-focused security.

Scans files stored in cloud storage services like Box, Google Drive, and OneDrive for malware, sensitive data exposure, and policy violations. Provides ongoing protection for files at rest and in transit within cloud ecosystems.

Enables organizations to deploy Perception Point as an additional security layer without replacing existing email gateways or security infrastructure. Allows incremental security enhancement without major architectural changes or downtime.

Analyzes user and system behavior patterns to identify anomalies that may indicate compromise, insider threats, or advanced attacks. Uses machine learning to establish baselines and detect deviations that traditional rule-based systems miss.

Protects against previously unknown vulnerabilities and malware variants through behavioral analysis and sandboxing rather than signature-based detection. Identifies novel threats that traditional antivirus and gateway solutions cannot recognize.