How Auth Sentry Works

From drowning in alerts to stopping attacks before they progress—here's how Auth Sentry transforms your identity security operations.

Reduce Alert Fatigue

70% less noise, buy back SOC time

Complete Investigations

Full context in under 2 minutes

Predictive Defense

Stop attacks before they progress

The Problem with Traditional ITDR

What You Get:

"Unusual login detected from new location"

Severity: Medium
Recommended Action: Investigate

What You Have to Do:

  • • Manually query SIEM for related events
  • • Check SaaS platform logs
  • • Pull user's access history
  • • Contact user to validate
  • • Correlate with threat intel
  • ⏱ Time spent: 15 minutes per alert

While you investigate, the attacker moves laterally.

Detect: Multi-Stage Detection

Three layers working together to catch what single-stage detection misses.

1

Pattern Matching

Known attack signatures

2

Behavioral Analytics

Data science-driven anomalies

3

Predictive Intelligence

Attack path forecasting

Evidence-Based Detection

Our AI Agents don't just flag anomalies—they continuously collect and correlate evidence until patterns emerge. Only when sufficient evidence exists does an alert get created. No single data point triggers an alert.

Example: Lateral Movement Detection

When a user accesses 4 systems in 5 minutes, the agent correlates:

  • Account was dormant for 6 months
  • Access pattern matches known lateral movement signatures
  • Previous suspicious OAuth token activity on this identity
  • User confirmed via Slack they didn't initiate access

Result: Confidence score of 98% before alerting your SOC.

Investigate: Autonomous AI Agents

AI agents gather context from your security stack before alerting you.

Automatic Enrichment from Your Security Stack

Instead of handing you a generic "suspicious activity" alert, AI Agents autonomously gather context from your existing tools before creating the alert.

SIEM Query

Related security events

SaaS Logs

Authentication & access

MDM Systems

Device compliance

Threat Intel

Known attack patterns

Analysts get enriched context automatically—not raw alerts requiring manual investigation.

Human-in-the-Loop Validation

AI Agents can message affected users directly via Slack or Microsoft Teams to validate suspicious activity in real-time.

"Hey James, did you just access the production database from Singapore?"

Reply 'yes' to confirm this was you.

Possible Outcomes:

  • ✓ User confirms → Alert closed
  • ✗ User denies → Escalate to critical
  • ⏱ No response → Auto-revoke tokens

Faster validation, fewer false positives, immediate containment.

What You Receive

Not an alert—a complete investigation with evidence and next steps.

CASE #528
HIGH SEVERITY

Lateral Movement Detected - james.hernandez14

4 systems accessed in 5 minutes from dormant account

EVIDENCE COLLECTED
• Account dormant 6 months, suddenly active
• Pattern matches lateral movement signatures
• Failed auth attempts from same IP 30 min prior
• MFA push accepted after 3 denials
• User confirmed device stolen via Slack
THREAT
Lateral Movement
CONFIDENCE
98%
TIME TO CASE
<2 min
ACTIONS TAKEN
✓ Evidence gathered from 3 systems
✓ User contacted via Slack
✓ OAuth tokens revoked
✓ Source IP blocked

Your SOC gets cases, not noise.

Specialized AI Agents

Dedicated agents for specific threat domains—not one generic model that misses nuanced attacks.

OAuth Token Agent

Monitors token lifecycles for:

  • Impossible travel patterns
  • Cross-IP token sharing
  • Dormant tokens activating

Service Account Agent

Baselines non-human identities:

  • API key rotation anomalies
  • Privilege escalations
  • Unexpected access patterns

Lateral Movement Agent

Maps access chains across systems:

  • System-to-system pivots
  • Rapid multi-target access
  • Dev → staging → prod movement

Toxic Combo Agent

Detects dangerous permission chains:

  • GitHub → AWS → prod DB
  • Over-privileged third-party apps
  • Chained legitimate access = attack

Why specialized agents? Each agent learns YOUR organization's patterns independently. When threats span multiple domains, agents collaborate to build the complete picture before alerting.

Predict: Stop Attacks Before They Start

AI Agents continuously learn your organization's unique identity patterns.

DevOps deploys on Friday afternoons? Agent learns it's normal for YOUR team.

Sales accesses CRM → LinkedIn → ZoomInfo? Agent baselines YOUR workflow.

Finance runs monthly prod scripts? Agent expects it based on YOUR calendar.

The longer it runs, the smarter it gets about YOUR environment.

70% reduction in false positives. Detections tailored to your organization.

See Auth Sentry in Action

Watch our AI Agents investigate a real lateral movement attack in under 2 minutes.

Request Free Trial