Actifile takes a proactive approach to insider risk management by continuously monitoring user activity and behavior to detect potential threats before they can cause harm. By using advanced analytics and machine learning, Actifile can identify and alert on anomalous or suspicious behavior, allowing organizations to take action before a data breach occurs.

Going Way Beyond Traditional Insider Risk Management

Actifile goes way beyond traditional insider risk management by leveraging advanced technologies such as machine learning, behavior analytics, and data classification to provide a comprehensive approach to data protection. With its ability to identify, classify, and protect sensitive data, Actifile ensures that organizations can detect and mitigate insider risks while maintaining compliance with regulatory requirements.

You Can’t Only Analyze Behavior

Traditional methods for insider risk management only analyze behavior, not the data being handled, which can leave organizations vulnerable to data breaches. Actifile brings a fresh approach to this issue by providing data-centric risk management, which enables organizations to identify and protect sensitive data, monitor data access and movement, and detect potential data breaches in real-time.

Actifile intervenes and stops unprotected data from leaving by providing real-time alerts and automated policy-based actions that prevent unauthorized access and data exfiltration. By utilizing data classification and intelligent policy enforcement, Actifile ensures that sensitive data is properly protected, regardless of where it resides or who accesses it. This proactive approach allows organizations to identify and stop potential data breaches before they occur, reducing the risk of data loss and the associated costs and reputational damage.

Gone are the days of alerts that lack context to investigate

Actifile’s alerts provide valuable context to help organizations investigate incidents. They include detailed information about the file, such as its name, location, and the user who accessed or modified it. This enables security teams to quickly understand the scope of an incident and take appropriate action to remediate any potential threats. Additionally, Actifile’s alerts can be customized to include specific metadata tags or categories, allowing for even more targeted investigation and response.

Insider Risk Management Reinvented

Actifile offers a comprehensive solution for insider risk management. It not only accurately detects insider threats but also intervenes the moment data is at risk to protect it. With Actifile, security analysts get everything they need to quickly investigate the incident, including alerts that provide context to understand the scope of the issue.

This proactive approach to insider risk management goes way beyond traditional methods, which only analyze behavior and don’t take into account the data being handled. Actifile’s solution offers a fresh approach to this issue, providing organizations with the tools they need to protect their sensitive data.

Combination of In-Depth Data and behavioral analysis to precisely detect threats

Actifile combines behavioral analysis with data analysis to accurately detect threats by creating a baseline of normal behavior for each user and then monitoring their behavior for any anomalies or deviations from that baseline. This includes analyzing the types of files accessed, the frequency of access, and the time of access.

Additionally, Actifile’s machine learning algorithms analyze patterns of behavior and identify any suspicious activities, such as data exfiltration or unauthorized access attempts. This combination of behavioral and data analysis helps Actifile provide a more accurate and comprehensive detection of insider threats.

Pinpoint threats that unfold over weeks or months, not just hours

Actifile’s advanced machine learning algorithms continuously monitor and analyze user behavior and data activity over an extended period to identify subtle changes or patterns that may indicate an ongoing insider threat. By detecting threats that evolve over weeks or months, not just hours, Actifile can provide early warning signals to prevent data exfiltration and protect sensitive information.

Don’t just accurately detect insider threats, stop them

Actifile not only identifies insider threats accurately but also stops them in their tracks. By monitoring and analyzing data in real-time, Actifile intervenes to prevent data loss incidents before they occur. The solution’s intervention capabilities include blocking, quarantining, or alerting security analysts to take immediate action.

Provide Users with the Insights they need to guide them on their behavior in the moment via real-time popups

Actifile educates users on appropriate behavior in the moment using real-time popups, guiding them on proper data handling to prevent inadvertent data loss or exposure.

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Provides forensic-level events without physical device access

Actifile uses lightweight agents installed on endpoints to collect forensic-level events without requiring physical access to the device. The agents capture information such as file activity, application usage, and network activity, which is then sent to the Actifile cloud for analysis.

This allows Actifile to provide detailed insights into user behavior and detect insider threats without disrupting daily operations or compromising device security.

Context is King: Security analysts receive the context they need to swiftly and comprehensively investigate and understand user intent

Actifile provides security analysts with rich contextual information about user behavior and intent, including detailed metadata about files and access events, as well as a timeline of user activity. This allows analysts to quickly understand the context of any given incident and to determine the intent behind the user’s actions, making it easier to identify and respond to insider threats.

What You’d Expect and a Whole Lot More from the Insider Risk Management Arena

  • Actifile identifies and monitors high-risk user behavior, such as accessing or transferring sensitive data, to detect potential insider threats.
  • Actifile provides granular visibility into user activities, allowing organizations to track and analyze user behavior patterns to identify potential risks and prevent data breaches.
  • Actifile uses machine learning algorithms to analyze user behavior and automatically detect anomalies or suspicious activities that could indicate an insider threat.
  • Actifile enables organizations to define policies and set alerts for user activities that are deemed high-risk, such as accessing sensitive data from unauthorized devices or locations.
  • Actifile provides a centralized dashboard for monitoring and investigating user activities, making it easy to identify and respond to potential insider threats in real-time.
  • Actifile uses encryption and access controls to ensure that only authorized users can access sensitive data, minimizing the risk of insider threats.
  • Actifile provides detailed audit logs that capture all user activities, allowing organizations to review and investigate suspicious behavior.
  • Actifile offers a customizable risk scoring system that allows organizations to prioritize and respond to insider threats based on their level of risk.
  • Actifile provides automated incident response workflows to quickly remediate potential insider threats and minimize the impact of a data breach.
  • Actifile offers comprehensive reporting capabilities, allowing organizations to track user activities and generate reports on potential insider threats for compliance purposes.

Breaking the Barriers of Traditional Insider risk management

Actifile breaks the barriers of traditional insider risk management by going beyond just analyzing behavior and instead focusing on the data being handled. It intervenes at the moment data is at risk to protect it and provides real-time education to users on appropriate behavior. Additionally, it combines behavioral and data analysis to accurately detect threats that can unfold over weeks or months, not just hours. It also collects forensic-level events without physical access to a device, providing security analysts with the context they need to quickly investigate and understand user intent.