Phishing Detection
Detect malicious links and impersonation attempts before users enter credentials. Get a fast verdict and clear next steps for your team.
AI Phishing Detection
AI phishing detection helps when attackers rotate domains, templates, and lures. By combining multiple signals, it can return a clear verdict even when a campaign is new.
- •Spot suspicious intent in the link path and destination behavior.
- •Highlight look-alike domains and impersonation attempts.
- •Keep outcomes actionable: allow, block, or report.
Combine reputation, structure, and behavior cues into one decision.
Give teams fast answers that fit everyday work.
Spot brand and identity tricks that make phishing convincing.
Reduce mistakes with simple, repeatable next steps.
Follow multi-step hops to see the final landing page.
Identify deceptive patterns in path, query, and subdomain usage.
Consider age, similarity, and suspicious combinations that suggest spoofing.
Turn analysis into a clear verdict and next action.
URL Inspection
URL inspection focuses on the path attackers try to hide: shorteners, redirects, and misleading subdomains. The goal is to expose the real destination before users type passwords or share sensitive data.
URL Rewriting
URL rewriting helps control risky clicks by routing users through a safety layer. That layer can evaluate a destination again at the moment of access, then allow, warn, or block based on current signals.
Malicious Links
Malicious links often lead to credential capture, malware downloads, or fake support scams. Detection should catch both well-known threats and newly created domains that behave like phishing infrastructure.
- Fake sign-in pages that mimic trusted services.
- Downloads or scripts with suspicious behavior.
- Urgent prompts that push users into unsafe actions.
- Clear guidance to block, report, and warn others.
Prevent email spoofing
Preventing spoofing is about reducing trust gaps that attackers exploit—display-name tricks, forged sender domains, and subtle changes in reply-to fields. Good detection surfaces these signals early and helps users verify requests safely.
Replies routed to domains that do not match the visible sender, a common step in payment and credential scams.
Confirm high-risk requests via trusted channels before acting—especially when bank details, invoices, or access levels change.
Give users a simple way to report suspicious messages so teams can respond and improve detection.
Domain Spoofing
Domain spoofing relies on small changes that are easy to miss. Detection should highlight similarities and risky patterns so users can verify the real destination with confidence.
Typos, swapped characters, and confusing subdomains.
Fresh infrastructure often appears in fast-moving campaigns.
Login and “verify” pages that resemble popular providers.
Open known portals directly instead of logging in from email links.
Brand Impersonation
Brand impersonation turns a generic phishing attempt into a convincing one. Detection should surface visual and domain cues that suggest a message or site is trying to look legitimate.
Identity Spoofing
Identity spoofing is when attackers pretend to be someone users already trust—an executive, a vendor, or an internal team. Detection should highlight when the identity does not match the request.
Unusual urgency, new payment instructions, or unexpected access asks.
Sender name suggests one org; links point somewhere else.
Require extra verification for finance and admin workflows.
Keep reporting and decisions consistent across the organization.
Impersonation Protection
Impersonation protection is effective when it is easy to follow. A strong system flags suspicious content early, explains the risk at a glance, and standardizes what users should do next.
Stop credential capture and malicious behavior before users proceed.
Make reporting simple so teams improve and incidents spread less.
Keep outcomes consistent across departments and roles.
Route finance and executive threats to the right workflow quickly.