Mirket ITDR: AI-Driven Identity Threat Detection and Response

AI-Driven Identity Threat Detection and Response

“Attackers don’t hack in, they log in.” Modern cyber threats bypass traditional security measures by exploiting legitimate credentials. Our ITDR system uses AI-driven analysis to detect, assess, and mitigate identity-based threats in real time.

ITDR Benefits

Our AI-driven ITDR system detects, analyzes, and mitigates identity threats in real time. With behavioral analytics, risk scoring, deception tactics, and automated response, it ensures early threat detection and adaptive security, keeping your organization one step ahead of attackers.

Behavioral Threat Detection

Identifies anomalies in login activity and access patterns.

AI-Driven Analysis

Adapts to evolving threats while reducing false positives.

Risk & Certainty Scoring

Assigns dynamic risk levels for accurate threat response.

MITRE ATT&CK Integration

Maps detections to known attack techniques for better visibility.

Deception-Based Security

Uses security traps to expose attackers early.

Automated Threat Response

Blocks high-risk accounts and enforces adaptive authentication.

How ITDR Protects Your Organization

Cyber Threat Intelligence (CTI): Leverages global threat intelligence to detect malicious IPs, compromised credentials, and suspicious activity patterns.
Advanced Threat Detection: Identifies suspicious login attempts, credential misuse, and behavioral anomalies.
AI & Machine Learning: Continuously adapts to evolving attack patterns, reducing false positives.
Threat & Certainty Scoring: Assigns dynamic risk scores to users and detections for precise threat response.
MITRE ATT&CK Mapping: Aligns detections with known attack techniques to enhance visibility.
Deception Technology: Strategically planted security triggers expose attackers before they cause damage.
Automated Risk-Based Response: Blocks high-risk accounts and enforces adaptive authentication.

By leveraging AI-powered behavioral analytics and intelligent deception strategies, our ITDR system ensures proactive security, early threat detection, and effective response, keeping your organization one step ahead of attackers.

Behavioral Threat Detection

Our ITDR system uses machine learning and AI-driven analysis to detect behavioral anomalies that may indicate threats by dynamically assessing user actions and authentication patterns.

Unusual Login Activity: Flags abnormal IP diversity, irregular devices, or unexpected geolocations.
Access Pattern Deviations: Detects significant changes from typical user behavior.
Automation & Hijacking Detection: Identifies scripted or high-frequency access attempts.
Detects account takeovers, insider threats, and credential stuffing early.
Adapts to user behavior, minimizing false positives.
Enhances security with risk-based authentication and automated responses.

Detections and Threat & Certainty Scoring

Every detection in our ITDR system is assigned two scores: Threat and Certainty.

Threat Score: Measures the severity and potential risk of a detection.
Certainty Score: Determines the confidence level in the accuracy of the detection.

These scores provide a clear risk assessment, enabling automated and intelligent response mechanisms to mitigate threats effectively. To enhance visibility, each detection is also mapped to the MITRE ATT&CK framework and assigned to the appropriate phase of an Account Takeover Attack. This alignment offers deep insights into adversarial tactics and techniques, ensuring a structured and informed response to evolving cyber threats.

User Risk Scoring & Automated Response

Beyond detection-level scoring, we calculate a User Threat & Certainty Score based on:

The number of detections associated with a user account.
The severity and confidence of these detections.
The number of attack phases identified in an Account Takeover scenario.
The tactics and techniques mapped to MITRE ATT&CK.
The resemblance of detection patterns to real-world attack sequences.

Based on these insights, users are categorized into Critical, High, Medium, or Low risk levels, enabling automated actions such as blocking access or enforcing additional security measures dynamically.

Deception-Based Threat Detection

Our ITDR system employs deception techniques to expose unauthorized access attempts and identify compromised accounts. By strategically introducing controlled security triggers, we detect attackers attempting to misuse credentials. Any interaction with these triggers generates high-confidence security alerts, enabling early compromise detection and reducing false positives. This approach enhances threat intelligence by revealing attack methods and adversary behaviors, allowing proactive threat mitigation and stronger security defenses.

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AI-Driven Identity Threat Detection and Response

ITDR Benefits

Behavioral Threat Detection

AI-Driven Analysis

Risk & Certainty Scoring

MITRE ATT&CK Integration

Deception-Based Security

Automated Threat Response

How ITDR Protects Your Organization

Behavioral Threat Detection

Detections and Threat & Certainty Scoring

User Risk Scoring & Automated Response

Deception-Based Threat Detection

Products

Why Mirket

Solutions

By Industry

Platforms

Partners