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MANAGED BHAVIOURAL MONITORING | SOC

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Signature-based security systems are an essential part of any organisation’s armoury but they cannot be relied upon to identify all cyber threats. To ensure that assets and data are well protected, the use of behavioural monitoring across networks and endpoints is now widely considered an important additional layer of protection.

Identify vulnerabilities and validate security defenses utilizing independent expertise, experience and perspective to enhance your security posture, reduce your risk, facilitate compliance and improve your operational efficiency.

KEY SERVICE BENEFITS & FEATURES

Service and Infrastructure Monitoring

Experienced security experts

NetFlow Analysis

Latest Technology

Network Protocol Analysis

Eases the strain on in-house teams

How can a managed behavioural monitoring service from Afriness help?
Behaviour analysis tools provide valuable insight to help organisations defend against the latest cyber threats. Without human expertise to help tune security systems and investigate and respond to the alerts these systems generate, they will fail to reap the maximum benefits of the technology.br>
Afriness’s Managed Behavioural Monitoring service ensures that organisations leverage behavioural analysis tools for maximum effectiveness, supplying an experienced team of security experts to deploy, configure and monitor systems, 24/7.
What is behaviour monitoring?
Behaviour monitoring, also known as network behaviour analysis (NBA) or network behaviour anomaly detection, is the collection and analysis of network information to identify malicious activity. Behavioural monitoring tools analyse data from a wide range of sources and use machine learning to identify patterns that could suggest an attack is taking place.Behaviour monitoring, also known as network behaviour analysis (NBA) or network behaviour anomaly detection, is the collection and analysis of network information to identify malicious activity. Behavioural monitoring tools analyse data from a wide range of sources and use machine learning to identify patterns that could suggest an attack is taking place.

When conducted over an extended period of time, behaviour monitoring allows organisations to benchmark typical network behaviour, which helps to identify deviations. Any anomalies identified can then be escalated for further analysis.

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