LinkShadow
LinkShadow Network Detection and Response (NDR) ingests network traffic and uses machine learning to detect malicious activity and to understand security risks and exposure. It combines detection for known attack behavior with the ability to recognize what is typical for any given organization, flagging unusual network activity or session that can indicate an attack. Once a malicious activity is detected, LinkShadow NDR responds using third-party integration like firewall, Endpoint Detection and Response (EDR), Network Access Control (NAC) etc. NDR solutions analyze network traffic to detect malicious activity inside the perimeter—otherwise known as the east-west corridor—and support intelligent threat detection, investigation, and response. Using an out-of-band network mirror port, NDR solutions passively capture network communications and apply advanced techniques, including behavioral analytics and machine learning, to identify known and unknown attack patterns.
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Forcepoint Insider Threat
Collect behavioral data from channels such as the web, file operations, keyboards, and email. Explore meaningful data using a powerful dashboard built for analysts, by analysts. Gain Insight with powerful analytics to understand and rapidly respond to risky behaviors before harmful events occur. Video collection and playback help expedite the investigation, allowing for attribution as intent and is admissible in a court of law. Monitor a broad set of data sources and activities to uncover patterns of insider risk rather than individual events. Leverage detailed forensics to quickly understand the intent and exonerate employees of wrongdoing. Always-on, highly customizable monitoring, and enforcement allow prioritization of the riskiest users to prevent breaches before they occur. Prevent overreach with the ability to control, watch, and audit investigators. Eliminate biases with anonymized data for investigation integrity.
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Bottomline Internal Threat Management
No agent is put on employee devices. Data is pulled directly from the network into our application. So, whether your organization is remote, hybrid, or bring-your-own-device, you'll have the flexibility to monitor employee actions no matter how your organization is structured. Speed up investigations by identifying unusual behavior or risks using data enriched by machine learning, analytics, and years of experience protecting some of the largest corporations and financial institutions in the world. Whether an internal threat is malicious or intentional, the details matter! Visually map connections between unusual activities and users, expediting the detection of insider activity, including external fraud initiated from within. Identify unusual behavior or risks using data enriched by machine learning, analytics, and years of experience protecting some of the largest corporations and financial institutions in the world.
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FortiInsight
30 percent of data breaches involve organization insiders acting negligently or maliciously. Insiders pose a unique threat to organizations because they have access to proprietary systems and often are able to bypass security measures, creating a security blind spot to the risk and security teams. Fortinet’s User and Entity Behavior Analytics (UEBA) technology protects organizations from insider threats by continuously monitoring users and endpoints with automated detection and response capabilities. Leveraging machine learning and advanced analytics, FortiInsight automatically identifies non-compliant, suspicious, or anomalous behavior and rapidly alerts any compromised user accounts. This proactive approach to threat detection delivers an additional layer of protection and visibility, whether users are on or off the corporate network.
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