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Detect

Find potential Cybersecurity threats and compromises

An essential component in Cybersecurity is to Detect compromises. Through identifying anomalies early, it can prevent or limit the impact of a Cyber breach. 

In order to meet this requirement, organisations should concentrate on two main components:

  • Continous Monitoring

  • Adverse Event Analysis

Continuous Monitoring involves the observation of assets to find anomalies, indicators of compromise, and other potentially adverse events

Adverse Event Analysis involves the examination of anomalies, indicators of compromise, and other potentially adverse events to characterise theses events and detect cybersecurity incidents

THREAT INTELLIGENCE

Implement a fully automated and managed SOC/SIEM solution that operates 24x7, encompassing the following components

Monitor
Continuously monitor network traffic and system logs for any signs suspicious activity 
 
Threat Detection

Detect potential security threats and system vulnerabilities

 
Incident Response

Investigate and take appropriate actions to neutralise security threats

 
Threat Hunting

Actively identify threats that may have eluded traditional security measures

 
Forensic Analysis Investigate security incidents to identify their origin and extent  
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Extended Detection & Response (XDR)

Leveraging advanced Extended Detection & Response (EDR) capabilities, it extends protection beyond mere endpoints, offering comprehensive monitoring of data across networks, cloud workloads, servers, email, and more.

1
Collect
Gather extensive data from endpoints, cloud workloads, identities, emails, network traffic, virtual containers, and beyond.
2
Identify

Leverage advanced AI and ML to seamlessly parse and correlate data, enabling the automatic detection of elusive threats.

3
Respond

Organise threat data by severity to enable threat hunters to swiftly assess and prioritise new incidents, while automating investigation and response processes.

Network Detection & Response (NDR)

An NDR defines the standard behaviour of your network, leveraging network metadata to provide continuous monitoring of network traffic.

Baseline

Examine both vertical and lateral network traffic to establish a standard baseline of typical traffic patterns

Deploy
Utilise machine learning, behavioural analytics, and threat intelligence databases to identify threats and anomalies
Monitor

Oversee all network devices without compromising performance or availability

Integrate

Seamlessly connect with EDR and SIEM solutions to enhance telemetry capabilities

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