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Identity Protection Agent

Monitors for compromised credentials and anomalous user behavior across your identity providers.

OktaAzure AD (Entra ID)Active DirectoryDuoGoogle Workspace

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Created By
HHunto AI
Last UpdateLast update 3 weeks ago
CategorySecOps
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Dark Web Monitoring

Paste Sites
2.4M scanned
Breach Databases3 found
847K scanned
Forums1 found
1.2M scanned

Credential Monitoring

Scanning dark web for exposed credentials

[email protected]
Found in: LinkedIn 2021
EmailPassword
[email protected]
Found in: Adobe 2019
EmailUsername
[email protected]
Found in: Collection #1
EmailPasswordPhone

Breach Detection

Identifying compromised employee credentials

Force Password Reset
[email protected]
Done
Revoke Active Sessions
[email protected]
Active
Enable MFA
[email protected]
Queued

Automated Response

Instantly securing compromised accounts

Security Alert

Your credentials were found in a data breach
Your email and password from the LinkedIn 2021 breach were discovered on the dark web.
Password has been reset
All sessions revoked

User Notification

Alerting users with actionable guidance

Identity Protection

96%
Accounts Protected
1,247
Users Monitored
23
Breaches Found
Real-Time Monitoring Active

Protection Dashboard

Comprehensive identity threat visibility

Live Workflow

Description

The Identity Protection Agent (ITDR) secures the new perimeter: Identity. With traditional networks dissolving, user credentials are the keys to the kingdom. This agent integrates with your Identity Providers (IdP) to detect sophisticated attacks like credential stuffing, token theft, and MFA fatigue. It baselines normal user behavior—location, device, time of access—and instantly flags anomalies. It can autonomously step up authentication (require MFA) or suspend users in real-time when a compromised account is detected.

How it works?

The agent ingests authentication logs and directory changes in real-time. It uses Machine Learning to build a "User and Entity Behavior Analytics" (UEBA) profile for each employee. If a user normally logs in from London on a Mac but suddenly logs in from Lagos on windows (Impossible Travel), the agent triggers. It also monitors the dark web for leaked credentials matching your employees' corporate emails. It looks for "IoCs of Identity" like new inbox rules, MFA method changes, or privilege escalations that often follow an account takeover.

Key Features

  • Impossible Travel Detection: Flags geographically unfeasible login sequences.
  • MFA Fatigue Protection: Detects and blocks "push bombing" attacks where attackers spam MFA requests.
  • Compromised Credential Monitoring: Matches your users against huge databases of leaked passwords.
  • Privilege Escalation Watch: Alerts on unauthorized changes to Admin groups or roles.
  • Automated Response: Can force a password reset, revoke active sessions, or disable accounts via API.

    • Step by Step

    1
    Baseline Learns normal login patterns for 2-4 weeks (locations, devices, times).
    2
    Monitor continuously analyzes auth logs and dark web dumps.
    3
    Detect Identifies anomalies (e.g., login from Tor exit node).
    4
    Challenge Automatically triggers step-up authentication (e.g., "Verify it's you via Number Match").
    5
    Respond If challenge fails or threat is critical, the account is suspended and SOC is notified.

    Available Integrations

  • IdPs: Okta, Microsoft Entra ID, Ping Identity, OneLogin.
  • MFA: Duo, YubiKey, Microsoft Authenticator.
  • HR Systems: Workday (to correlate status like "On Leave" or "Terminated" with activity).

    • *Note: Hunto AI also customizes each agent, integrations, activity, and output as required by the security teams in different industries.*

    Expected Output

  • Reduced ATOs: Near elimination of successful Account Takeover attacks.
  • Identity Hygiene: Identification of dormant accounts, weak passwords, and old admins.
  • Behavioral Context: Rich context for every user alert (e.g., "This user never accesses Finance apps").
  • Automatic Containment: Speed of response measured in milliseconds, not hours.