high/ 01
Artificial urgency
Creates pressure so the target acts before verifying.
MVP IN DEVELOPMENT PRIVATE BETA — COMING SOON
Stop the message
before it becomes
the breach.
Teger AI detects the psychological tactics behind phishing and social engineering — from fake urgency and executive impersonation to credential harvesting and payment redirection.
Instead of only saying "suspicious," Teger shows you why.
Built for explainable social-engineering defense.
LIVE PRODUCT PREVIEWTEGER ENGINE / v0.2
SELECTED MESSAGE GMAIL
I'm in a meeting right now. Please purchase ₦500,000 worth of gift cards immediately and send me the codes. This needs to be handled confidentially.
ReplyForwardReport suspicious
HIGH RISK
Social engineering detected
94%confidence
Authority impersonation"Chief Financial Officer"
Artificial urgency"immediately"
Unusual financial request"₦500,000 gift cards"
Secrecy / process bypass"handled confidentially"
RECOMMENDED ACTION
Do not send funds or credentials. Verify using a known phone number or trusted channel.
01Explainable threat signals
02Human-layer security
03Browser-native protection
04Open phishing-pattern taxonomy
01 / THE HUMAN LAYERSocial engineering attacks
Social engineering attacks
the human layer.
Traditional security tools focus on malicious files, URLs, and infrastructure. Teger focuses on something attackers increasingly exploit: human trust.
critical/ 02
Authority spoofing
Impersonates executives, IT teams, banks, or trusted contacts.
high/ 03
Credential harvesting
Attempts to trick users into revealing passwords or account access.
critical/ 04
Payment redirection
Manipulates users into changing payment destinations or sending funds.
medium/ 05
Emotional manipulation
Uses fear, curiosity, sympathy, or excitement to override judgment.
medium/ 06
Pretexting
Creates a believable fake scenario to make a malicious request appear legitimate.
02 / THE PROCESSFrom message to
From message to
understanding.
Teger turns a vague warning into a clear, defensible explanation your team can act on.
01
Select
A user chooses a suspicious Gmail or Slack message.
02
Analyze
Teger examines language, context, identity claims, and requested actions.
03
Understand
A clear threat level, reasoning, and recommended action comes back.
01Message
02Signal extraction
03AI analysis
04Risk assessment
05Explainable warning
03 / EXPLAINABILITY
Security warnings people can actually understand.
Most phishing alerts tell users that something looks suspicious. Teger shows the evidence behind the assessment.
- what triggered the warning
- which manipulation tactic is being used
- which phrase or request is suspicious
- how confident the analysis is
- what the user should do next
We need to resolve this immediately before your access is disabled.
Artificial urgency + consequence threatPressure language is designed to stop verification.
04 / Teger intelligenceBuilt around an open
Built around an open
social-engineering taxonomy.
Teger maps detections to documented attack patterns, making each decision traceable, teachable, and continuously improvable.
Explore the pattern library THREAT PATTERN LIBRARY4,821 RECORDS
TP-0001Artificial urgencyHigh
TP-0002Authority spoofingCritical
TP-0003Payment redirectionCritical
TP-0004Emotional anchoringMedium
05 / TRUST BY DESIGN
Security software should earn trust.
Teger is designed around the principle that protection should never require blind faith.
Explicit scanning
Teger analyzes messages selected by the user rather than silently reading an entire inbox.
Minimal retention
Designed to minimize storage of raw communication content.
Explainable decisions
Users can inspect the evidence behind every risk assessment.
Secure architecture
API credentials stay on the backend and never reach the browser extension.
06 / EARLY ACCESSHelp shape the first
Help shape the first
version of Teger AI.
We are preparing Teger AI for its first private beta with individual users, security teams, SMEs, finance teams, and organizations interested in reducing social-engineering risk.