Secure Your Workspace and Email using AI
Register for FREE No-Obligation POC
We will introduce Check Point Harmony scanner only in monitoring mode with no action taken.
See what is being missed by your gateways/ present setup, and is detected by Check Point AI-driven email security
Following are the techniques that help Check Point Harmony to provide a robust and comprehensive defense against various email threats.
Behavioral Analysis
AI tools monitor email traffic and learn normal communication patterns. Phishing emails often deviate from these patterns, enabling AI to pick up on the anomaly.
Natural Language Processing (NLP)
NLP enables AI to read and understand the content of an email. With this understanding, AI can identify warning signs of phishing content, such as an attempt to create a sense of urgency or drive the recipient to click on a link or open an attachment.
Attachment Analysis
Infected attachments are a common method for delivering malware to a target computer. AI can be used in sandbox analysis to determine whether an attachment contains malicious content before allowing it to continue to its destination.
Malicious URL Detection
AI also has the ability to identify malicious sites linked to phishing emails. Once identifying a URL in an email, AI can analyze the indicated site to determine whether it is likely to be a phishing site.
Threat Intelligence
Organizations can subscribe to threat intelligence feeds to receive indicators of compromise (IoCs). AI can use these IoCs to identify malicious attachments, URLs, and phishing campaigns or can generate its own based on newly detected phishing campaigns.
Machine Learning Algorithms
Harmony Email & Collaboration intercepts attackers using machine-learning algorithms, which analyze user behavior and feed off sources like mobile and endpoint on-device detection of OS exploits, malware and network attacks, SaaS native APIs, and Check Point’s ThreatCloud.
Threat Emulation
Check Point’s advanced sandbox (Threat Emulation) is used to detect the evasive zero-day malware.