Behavioral Identity Security
Your identity security has a blind spot.
Your existing identity security tools flag known risks and enforce access policies. AuthLokr goes deeper — contextualizing account state, device history, access patterns, and behavioral signals to catch credential compromise and account abuse before damage is done.
alice.anderson@company.com
Finance · Global Admin · Baseline: 94 days
Impossible travel detected
Moscow, Russia → 5,309 mi from baseline (Denver, CO)
New device: macOS Safari
User always authenticates on Windows 11 Chrome
Time: 02:34 AM local
Outside normal pattern (08:12–18:47)
Live risk scoring — not a screenshot
The Identity Blind Spot
Your security stack monitors known threats. AuthLokr monitors individual behavior.
of breaches involve authorized users behaving abnormally.
Insider threats. Compromised accounts. Social engineering victims. These are threats traditional identity tools were never designed to catch.
Sign-in from Russia 4 hours after Denver login
Device was compliant. Conditional access passed. Standard tools logged a "risky sign-in" but took no action — the device score was clean.
Other Products
No alert generated.
AuthLokr
Impossible travel detected. Probability: 0.003% for this user's pattern. Risk score: 0.94 HIGH.
Contractor requests 6 new admin permissions over 30 days
Each individual request was approved through normal channels. Other products saw only approved, authorized access — no anomaly flagged.
Other Products
No alert generated.
AuthLokr
Privilege creep detected. Access pattern deviation +340% above 30-day baseline. Risk score: 0.81 HIGH.
Employee downloads 10× normal file volume before resignation
Files were in scope for their role. Existing tools saw permitted access. No DLP trigger. The exfiltration was invisible to every existing control.
Other Products
No alert generated.
AuthLokr
Volume anomaly detected. 10.4× above established baseline. Behavioral risk score: 0.88 HIGH.
MFA-approved session from a compromised device
Authentication was valid. MFA passed. Device appeared compliant. Existing tools saw no anomaly — the attacker already had a foothold.
Other Products
No alert generated.
AuthLokr
Device never seen before + impossible travel + access pattern deviation. Risk score: 0.91 HIGH.
How AuthLokr Works
Simple to connect. Watching within hours. Learning for life.
No rip-and-replace. Works alongside your existing Entra ID deployment.
Connect your tenant
Guided setupPoint AuthLokr at your Microsoft Entra ID tenant with read-only Graph API access. No agents. No endpoint installs. No infrastructure changes. Your IT team will appreciate this.
✓ Read-only access — we never modify your tenant · ✓ Standard OAuth 2.0 flow — revocable anytime
SanctumOS learns your users
Starts immediatelyDetection begins from day one — SanctumOS analyzes recent activity and starts identifying behavioral patterns right away. Over 30 days the baseline deepens into a precise individual profile: when they sign in, from where, on which devices, accessing which resources, and at what volume. Not an org average. That person.
No raw log data retained · Analyzed in-stream only · Baseline matures over 30 days
Detect, score, and contain
ContinuousEvery user action is scored against their personal baseline in real time. Anomalies surface as prioritized alerts with plain-English reasoning. One click to investigate, disable, or revoke — from a single dashboard.
Real-time scoring · Explainable AI · One-click response
Detection Dimensions
Six ways we see what others miss.
Every dimension asks the same question traditional tools never ask: Is this normal for THIS specific person?
Location Intelligence
Is this country in the allowed list?
Is this location normal for this specific user — their home, their office, their travel history?
Temporal Patterns
Is this outside business hours?
Does this match when THIS person normally authenticates — their actual schedule, time zone, and weekly rhythm?
Device Fingerprinting
Is this device compliant with MDM policy?
Does this user normally use this device, OS, and browser? Or is this the first time we've ever seen this combination?
Access Patterns
Does this user have permission to access this resource?
Does this user typically access this resource? Or is this a new access pattern that deviates from their 30-day baseline?
Volume Analysis
Is this activity within permitted thresholds?
Is this volume of activity normal for this specific user? 10× their baseline is a signal — even if it's technically allowed.
Account State Monitoring
Logs administrative actions in audit trail
Detects privilege escalation patterns, MFA tampering, and unusual role changes correlated with behavioral anomalies
Powered by SanctumOS
AI that explains its reasoning — every time.
Every alert includes a plain-English explanation of why the score was assigned — not just a number. Your team understands the threat before they act on it.
60–80% fewer false positives than rule-based systems
Air-gap compatible — SanctumOS supports GCC High and CMMC environments without cloud connectivity. Available in Phase 3 (Enterprise tier).
The Honest Comparison
We integrate with your entire stack. We go deeper where others stop.
Entra ID P2 flags risky sign-ins based on point-in-time analysis. AuthLokr builds the behavioral baselines P2 doesn’t provide — and works alongside it to enhance risk signals, or standalone for organizations without P2.
| Capability | AuthLokr | Standard Identity Tools |
|---|---|---|
| Behavioral baseline per user | ✓30-day AI learning, 5 dimensions | ✗No baselines — generic rules only |
| Insider threat detection | ✓Native — purpose-built for this | ✗Not designed for this use case |
| Real-time risk scoring | ✓Continuous, context-aware, per user | ✗Binary flags, post-incident reporting |
| False positive reduction | ✓60–80% lower vs. static rules | ✗High alert fatigue from generic rules |
| Account lifecycle monitoring | ✓Privilege escalation, MFA tampering, backdoor auth | ⚠Partial — basic audit logs only |
| PIM workflows | ✓Automated, time-bound, auto-expiring | ⚠Manual, legacy interface |
| Explainable AI reasoning | ✓Plain-English explanation on every alert | ✗Generic risk code — no explanation |
| Air-gap / offline deployment | ✓Phase 3 — Docker, GCC High, CMMC | ✗Cloud-only — no offline option |
| Monthly cost (5,000 users) | $$15–20K flat rate | $$50K/month ($10/user) |
AuthLokr integrates alongside your existing Entra ID deployment or as a standalone behavioral detection layer.
Who It’s Built For
Built for environments that can’t afford to be wrong.
Regulated industries where the cost of an undetected insider threat isn’t just financial — it’s reputational, regulatory, and in healthcare, human.
Healthcare
Catch insider access to patient records before HIPAA audits find it.
Healthcare organizations face relentless insider threat exposure. Employees with broad patient record access, manual PIM workflows, and limited behavioral monitoring create gaps that every HIPAA auditor looks for. AuthLokr builds behavioral baselines for every clinician, admin, and contractor — and surfaces anomalous PHI access before it becomes a breach.
Healthcare is our initial proving ground — more to come
Defense & CMMC
Meet CMMC Level 2/3 access monitoring requirements without a six-month deployment.
CMMC contractors handling CUI must demonstrate continuous monitoring of privileged access and user behavior. AuthLokr's Microsoft-native integration gives you the audit trails, behavioral detection, and PIM governance CMMC assessors look for — without rip-and-replace infrastructure. Air-gap and GCC High deployment available in Phase 3 for classified environments.
Now opening to CMMC contractors
Financial Services
Detect insider trading and privilege abuse before SOX auditors and regulators do.
Financial institutions face the highest cost of insider breaches of any sector. Employees with access to material non-public information, trading systems, and customer financial data require behavioral monitoring that goes beyond permission-based controls. AuthLokr establishes individual baselines and flags anomalous patterns that precede fraud, data theft, and regulatory violations.
Mean insider threat cost in financial services: $21.4M
Pricing
Flat-rate pricing. No per-user tax.
Predictable, transparent pricing at every stage of growth. The more users you have, the better the economics get.
Flat rate for up to 10,000 users. No seat counting. No surprise invoices.
- ✓SanctumOS behavioral baseline learning (30-day)
- ✓Real-time anomaly detection across 6 dimensions
- ✓Context-aware risk scoring with explainable AI
- ✓Privileged Identity Management (PIM) workflows
- ✓Account lifecycle monitoring (privilege escalation, MFA tampering)
- ✓One-click response: disable account, revoke sessions, remove access
- ✓Complete audit trail for every action taken
- ✓Email, webhook, and Microsoft Teams alerts
- ✓Dedicated onboarding and customer success
- ✓Up to 10,000 users — flat rate, no per-user pricing
30-day proof-of-concept available for qualified organizations. No credit card required to start.
vs. Alternatives (5K users)
Flat rate · Up to 10K users · 60–70% cheaper than P2 alone
5,000 users @ $10/user (eff. July 2026) · No behavioral baselines
P2 ($50K) + Defender for Identity ($30K) + Sentinel ($30K+)
Per-user + 90-day deployment + dedicated analysts
ROI calculation: AuthLokr is 60–70% cheaper than P2 alone at 5,000 users — and the full Microsoft security stack runs $110K+/month vs. our flat rate. One insider incident averages $500K+ in damages. AuthLokr pays for itself the first time it catches one.
See for yourself
See what your tenant is hiding.
Most customers are surprised by what AuthLokr surfaces in the first 48 hours of connecting their tenant. Book a 20-minute call — we’ll discuss your current identity risk posture and show exactly how AuthLokr addresses what your stack is missing.
Or email us directly — info@authlokr.com
No agents
Agentless setup
30 days
To first baseline
60–80%
Fewer false positives
$15–20K
Flat monthly rate