Increasing Visibility to Protect Against Cyber Threats – The Network Security Challenge
Between Detection and Prevention
Network detection and response (NDR) solutions are more crucial than ever as threats grow and change, necessitating quick action from security experts. Frequent network data analysis is the initial sign of a system compromise, but companies must take the necessary corrective action with this knowledge.
An industry research analysis projects that by 2028, the size of the worldwide NDR market will be $5370.4 million. By using an NDR solution, enterprises can gain access to a wide range of modules, dashboards, and workflows that help them confidently secure their networks.
The network is protected in large part by NDR. By providing security teams with an NDR solution, you can encourage a watchful approach to threat defense and ensure security compliance at all locations where there are security gaps. It provides a thorough analysis of all attacks, from network invasion to lateral movement. Teams may be sure that threats are being deliberately avoided in this way. Network traffic to and from a company’s data centre is continuously monitored by NDR to look for unusual behaviour patterns. With crucial visibility into threats, organisations gain an understanding of their whole data footprint.
In addition to adding analytics and behavioural capabilities that result in a quick response rate and improved ability to mitigate threats with agility, NDR solutions give security operations teams the ability to conduct rapid threat analysis across the environment.
An NDR solution makes it simple to have access to complete support to identify the attack and reduce the possible damage. With the best signals and automated responses at their disposal, teams can confidently defend their organization. With the help of FDR’s hybrid methodology, SOCs can easily remediate and contain threats.
In the end, NDR systems facilitate the quick investigation, complete visibility, and improved threat detection — essential components for any security team.
A Future of Empowered Networks
Organisations struggle to successfully investigate network risks, data, and analytics in the absence of NDR solutions. This puts additional demand on SOC teams and exposes organisational flaws. Organisations can experience enhanced security posture and threat resistance through their reinforced network with the proper platform in place.
A NDR system enables the real-time detection of lateral movement, exfiltration, malware compromise, and other risks. The time to take action against the threat actors harming your organisation’s data and security badly is now.
Cyber threats have brought network security to the forefront of IT concerns. Organisations face unprecedented cyberattacks, from targeted malware to advanced persistent threats, that threaten to compromise sensitive data and disrupt business operations. To protect against these threats, organisations must increase their visibility into network traffic and improve their security posture.
Visibility is the key to adequate network security. It enables organisations to catch and react to threats in real-time, preventing damage to critical systems and data. However, achieving visibility is challenging as networks have become more complex and distributed. Today’s networks span multiple devices, platforms, and locations, making it difficult for security teams to monitor all network activity.
To overcome this challenge, organisations must adopt a comprehensive approach to network security that combines the right tools, processes, and people. Here are some methods that can help enhance network visibility and protect against cyber threats:
Network Segmentation: Network segmentation divides a network into smaller, isolated segments. This approach helps contain the spread of malware and limits the damage caused by a breach. Organisations can reduce the attack surface by segmenting the network and gaining better visibility into network activity.
Intrusion Detection Systems (IDS): IDS are tools that observe network traffic for signs of suspicious activity. IDS can detect known and unknown threats, including malware, ransomware, and phishing attacks. IDS can be deployed on-premise or in the cloud, depending on the organisation’s needs.
Endpoint Detection and Response (EDR): EDR solutions are designed to protect endpoints such as laptops, desktops, and mobile devices. EDR solutions provide visibility into endpoint activity, including user behaviour, system changes, and application usage. EDR solutions can witness and respond to threats in real time, minimising the impact of a cyberattack.
Security Information and Event Management (SIEM): SIEM solutions provide centralised monitoring and analysis of security alerts from multiple sources. SIEM solutions can aggregate and correlate data from IDS, EDR, and other security tools to provide a comprehensive view of network activity.
Threat Intelligence: Threat intelligence is the process of gathering and analysing data on potential threats. Threat intelligence can help organisations stay ahead of cybercriminals by providing early warning of new threats and vulnerabilities. Threat intelligence can be obtained from various sources, including security vendors, industry groups, and government agencies.
Security Operations Center (SOC): A SOC is a dedicated team of security professionals responsible for monitoring and responding to security incidents. A SOC can provide 24/7 coverage and rapid response to cyber threats. A SOC can help organizations develop and implement effective security policies and procedures.
In conclusion, increasing network visibility is critical to protecting against cyber threats. Organizations must adopt a comprehensive approach to network security that combines the right tools, processes, and people. By implementing network segmentation, IDS, EDR, SIEM, threat intelligence, and SOC, organisations can improve their visibility into network activity and respond to threats in real-time. This approach can help undervalue the risk of a cyberattack and protect critical systems and data.