Firewalls protect machines. SentinelMind protects the people behind them — and the identity infrastructure attackers weaponize after compromise. AI-powered defense against social engineering, credential abuse, admin takeover, and MDM weaponization, connected by structured causal models trained on real attack kill chains.
Time to First Detection
Identity Anomaly Detection
Attack Models Trained
Black Box Verdicts
Cognitive Threat Defense
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.
Identity Control Plane
The Stryker attack proved it: once attackers compromise credentials, they don't just steal data — they weaponize your own identity infrastructure to wipe thousands of devices. SentinelMind now defends the control plane itself.
Detects unusual patterns in administrative actions — bulk privilege escalation, after-hours tenant configuration changes, and service account manipulation that precede identity infrastructure takeover.
Monitors credential usage velocity across all identity providers. Catches credential stuffing, token replay, and impossible-travel patterns that indicate compromised credentials.
Monitors mobile device management for destructive commands — mass device wipes, unauthorized configuration pushes, and geographic anomalies that signal MDM infrastructure has been weaponized.
Tracks configuration drift in identity providers (Okta, Entra ID, Google Workspace). Detects MFA policy downgrades, conditional access bypasses, and federation trust modifications.
Attack Kill Chain
Modern attacks follow a predictable kill chain: social engineering to credential compromise to admin access to infrastructure control to mass destruction. SentinelMind covers every stage.
Social Engineering
Phishing, vishing, deepfake impersonation — the initial compromise vector. Communication intent analysis and writing pattern verification catch it at the door.
Covered by: Communication Intent + Writing Pattern
Credential Compromise
Stolen credentials, token replay, impossible travel. Credential velocity detection identifies compromised accounts within seconds of first abuse.
Covered by: Credential Velocity + Trust Graph
Admin Access
Privilege escalation, bulk admin actions, service account manipulation. Admin anomaly detection flags the pattern before infrastructure damage begins.
Covered by: Admin Anomaly + Behavioral Baseline
Infrastructure Control
MFA policy downgrades, federation trust changes, conditional access bypasses. Identity drift monitoring catches configuration weaponization.
Covered by: Identity Drift + Campaign Detection
Mass Destruction
MDM mass wipe commands, data exfiltration, service disruption. MDM weaponization detection stops the final payload — even if earlier stages were missed.
Covered by: MDM Weaponization + Response Optimization
Causal Intelligence
Most security tools treat signals independently — a credential alert here, an admin anomaly there. SentinelMind connects them through a Structured Causal Model trained on 10 real cyberattack case studies. When credential velocity spikes, the model simultaneously updates beliefs about admin compromise, MDM weaponization risk, and data breach probability — through causal pathways, not blind correlation.
Every detection comes with full causal reasoning: which signals contributed, what latent attack states were inferred, and how confident the model is. Trained on Stryker, Change Healthcare, Snowflake, MOVEit, MGM Resorts, and 5 more real-world attacks via MAP-EM with leave-one-out cross-validation.
Signals from all 6 products feed the causal graph — SentinelMind, SentinelRisk, ChainGuard, Compliatron, TracePilot, and RapidResolve
Edge weights learned from real breach post-mortems — not synthetic benchmarks or industry averages
Observable Signals
Latent Attack States
Predicted Outcomes
SCM engine trained on 10 real-world attack case studies via MAP-EM. Every belief update propagates through causal pathways — not independent scores.
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, monitoring identity infrastructure, and detecting kill chains from the first hour.