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AI in Cyber Security
Managed Detection and Response (MDR+)
MDR+ continuously monitors endpoint, user, and network activity to detect threats and unusual behavior in real time. It integrates AI to identify anomalies by baselining normal behavior patterns, and flags deviations that may indicate compromise.
AI capability: Behavioral anomaly detection using machine learning models trained to distinguish between legitimate user behavior and emerging threats.
Why it matters: AI enables faster, more accurate detection of real threats by reducing false positives and alert fatigue, critical for small or overstretched IT teams.
Relevant use cases:
- Detecting compromised accounts based on anomalous logins
- Identifying insider threats by accessing sensitive data after hours
- Real-time detection and automated response to zero-day attacks through behavioral triggers
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Managed Security Awareness Training
Claro’s training platform personalizes simulations and educational content based on user interaction and historical behavior.
AI capability: Real-time learning path personalization, adaptive phishing simulation, and user risk scoring based on behavioral insights.
Why it matters: Human error remains the leading cause of security breaches. AI-powered training enhances engagement, boosts retention, and focuses efforts where they are needed most.
Relevant use cases:
- Auto-adjusting phishing training frequency for high-risk users
- Generating actionable user risk dashboards for IT audits and compliance reviews
- Creating dynamic training paths to match employee learning behavior

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AI in Microsoft 365
Collaboration Security Management
Collaboration Security Management enhances security, compliance, and efficiency in Microsoft 365 by managing permissions, memberships, and configurations across Teams, Groups, SharePoint, and OneDrive—helping organizations establish governance foundations to obtain AI-ready environments.
AI capability: Anomaly detection for unusual behavior, data sharing, and access patterns, and automated policy recommendations and risk scoring. AI readiness assessments for Microsoft 365 Copilot, ensuring secure content governance and access controls are in place before enabling AI features
Why it matters: AI is accelerating productivity, but it also increases the risk of exposing sensitive data. Organizations must ensure Microsoft 365 environments are secure and compliant before leveraging tools like Copilot. Claro’s solution not only safeguards collaboration but also helps businesses unlock AI’s potential with confidence.
Relevant use cases:
- Detecting abnormal user behavior or data sharing in Teams, SharePoint, or OneDrive
- Identifying high-risk content or misconfigured permissions before enabling Copilot
- Automating policy updates and enforcing DLP by leveraging Microsoft’s sensitivity and exposure matrix to assess data risk


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AI in Internet of Things (IoT)
AI Video Analytics
uses computer vision and AI models to monitor video feeds for behavioral or physical risks, alerting users in real time.
AI capability: Pre-trained computer vision models for object/person detection, motion analysis, and behavior classification.
Why it matters: AI removes the need for manual video review and reduces time-to-response for critical incidents like intrusions or safety violations.
Relevant use cases:
- Detecting intrusions or loitering after business hours
- Identifying weapons at school or university entry points
- Counting foot traffic or vehicles for facilities planning
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AI vision solution (Launching August 2025)
Claro’s new AI Vision solution is a model builder that allows customers to create tailored computer vision models using their own video data.
AI capability: Customer-specific model training with human-guided annotation and rapid deployment engine.
Why it matters: Many industries face unique visual inspection needs—Claro AI Vision brings custom AI within reach without long development timelines.
Relevant use cases:
- DIdentifying masked or unauthorized individuals at ATMs
- Validating product packaging on manufacturing lines
- Measuring parcel size in fulfillment centers
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