Firewalls protect machines. SentinelMind protects the people behind them. AI-powered defense against LLM-generated phishing, deepfake impersonation, business email compromise, and multi-stage social engineering — the attacks that bypass every technical control.
Time to First Detection
Communication Monitoring
Reasoning Transparency
Black Box Verdicts
Capabilities
SentinelMind doesn't scan for known signatures. It understands how humans communicate, recognizes when communication patterns deviate from the norm, and intervenes before manipulation succeeds.
AI classifies communication intent in real time, distinguishing social engineering attempts from legitimate requests across email, chat, and voice channels.
Continuous monitoring of communication patterns per user — detecting anomalies in response time, formality shifts, vocabulary changes, and urgency signals that indicate manipulation.
Maps and monitors all communication relationships across your organization. Flags anomalous sender-recipient patterns, new contacts impersonating known entities, and trust exploitation attempts.
Identifies coordinated attack campaigns that unfold across stages — from initial reconnaissance through trust-building, pretext establishment, and eventual exploitation.
Verifies sender identity through writing pattern analysis. Detects when a message claims to be from a known contact but the communication style doesn't match their established baseline.
Learns which intervention works best for each threat type and user — inline warnings, MFA challenges, delivery holds, or escalation — and adapts response strategy over time.
Detection Flow
Observe
Every communication is analyzed in real time — intent, tone, urgency, relationship context, and stylometric fingerprint.
Baseline
AI maintains a living behavioral model for each user and communication relationship. Knows what "normal" looks like for every sender-recipient pair.
Detect
Anomalies surface instantly: unusual urgency from a known contact, writing patterns that don't match, requests that deviate from established trust patterns.
Correlate
Single-message analysis combines with campaign-level pattern recognition. A harmless email today may be stage two of a five-stage social engineering attack.
Intervene
The right response at the right moment — inline warning, MFA challenge, delivery hold, or analyst escalation — chosen based on what works for this threat type.
Learn
Every outcome — whether the user heeded the warning, whether the threat was confirmed — feeds back into the platform, improving future detection and response.
Trust Graph
SentinelMind builds a living trust graph of every communication relationship in your organization. When an attacker impersonates a known contact, exploits an unusual communication channel, or begins a multi-step campaign — the graph lights up before the human target notices anything wrong.
Every detection comes with full reasoning: what was observed, why it's anomalous, what the likely intent is, and what SentinelMind recommends. No black-box verdicts. Your team always understands why.
BEC — Wire Transfer Request
Target: Sarah M. (Finance)
Writing fingerprint does not match previous 47 emails from this sender. Urgency level abnormally elevated.
Credential Harvesting Campaign
Target: Dev Team (12 recipients)
Sender domain spoofed. Link destination does not match IT department's documented tooling. Campaign stage 2 of 3 detected.
Impersonation — Tone Shift
Target: Mike R. (Procurement)
Message formality and vocabulary deviate from sender's established baseline. First request for sensitive data in 8-month relationship.
SentinelMind blocked 2 communications and flagged 1 for analyst review. All 3 detections include full reasoning chains accessible from the dashboard.
Connect Microsoft 365 or Google Workspace. SentinelMind begins building behavioral baselines and detecting threats from the first hour.