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    How MILBERT AI Stops Authentication Attacks Before They Happen

    ThreatHunter.ai TeamNovember 27, 20256 min read

    Authentication attacks remain one of the most common entry points for adversaries. From credential stuffing to password spraying, attackers continuously probe for weak points in identity systems. MILBERT, our agentic AI platform, provides a new approach to detecting and stopping these attacks before they succeed.

    The Authentication Attack Landscape

    Modern authentication attacks come in many forms:

    • Credential Stuffing: Using stolen username/password combinations from data breaches to access accounts.
    • Password Spraying: Trying common passwords across many accounts to avoid lockout thresholds.
    • Brute Force: Systematically trying all possible passwords against specific accounts.
    • MFA Fatigue: Bombarding users with authentication requests until they approve one.
    • Token Theft: Stealing session tokens or OAuth tokens to bypass authentication entirely.

    How MILBERT Detects These Attacks

    Traditional security tools rely on static rules—like "more than 5 failed logins in 10 minutes." Attackers know these thresholds and design their attacks to stay just below them. MILBERT takes a fundamentally different approach.

    As an agentic AI, MILBERT continuously builds behavioral models for your environment. It understands what normal authentication patterns look like for each user, application, and time of day. When patterns deviate from this baseline—even in subtle ways that wouldn't trigger traditional rules—MILBERT investigates.

    Real-World Detection Examples

    Here are examples of authentication attacks MILBERT has caught for our clients:

    • A password spraying campaign that stayed below lockout thresholds but showed unusual patterns of single failures across hundreds of accounts.
    • Credential stuffing attempts using a slow, distributed approach from thousands of residential IP addresses.
    • Successful logins from impossible travel scenarios—users appearing to authenticate from two distant locations within minutes.
    • Token replay attacks where valid session tokens were used from unexpected locations or devices.

    From Detection to Response

    Detection is only valuable if it leads to effective response. When MILBERT identifies a potential authentication attack, it doesn't just generate an alert—it provides our hunt team with the full context needed for immediate action.

    This includes the attack timeline, affected accounts, source infrastructure, and recommended containment steps. Our hunters can then work with your team to neutralize the threat before attackers achieve their objectives.

    Protecting Your Authentication Infrastructure

    While MILBERT provides powerful detection capabilities, defense in depth is essential. We recommend combining AI-powered monitoring with strong authentication practices: MFA everywhere, passwordless options where possible, and continuous validation of identity throughout sessions.