Telecoms networks and ICT infrastructure carry all kinds of data, including that which is of high-value and highly sensitive. This, and how quickly cybercriminals are evolving, is making it increasingly difficult for traditional cybersecurity methods to remain effective. The scale, speed and complexity of these cyberthreats demand a smarter and faster approach which automation is uniquely equipped to deliver.
Why automation is a game-changer:
Let’s look at several critical advantages:
Speed: Due to its ability to detect, analyse and respond to cyberthreats in real-time, response times are reduced significantly.
Scale: It makes it easier to carry out consistent monitoring and protection across massive distributed networks.
Accuracy: It improves the precision of threat detection and mitigation.
Efficiency: Automation will take on some responsibilities of cyber-security teams, allowing them to focus their attention on their higher-level responsibilities.
Smarter threat detection through AI and ML:
Telecoms infrastructure generates enormous amounts of data making it an easy place to over-look malicious activity. Manually sifting through this data trying to find this malicious activity is not feasible. This is where Artificial Intelligence and Machine Learning comes into play. Here are some key capabilities.
Anomaly Detection: ML algorithms are able to set baselines for normal network behaviour and able to flag any real-time deviations from this behaviour.
Threat Intelligence: Automated platforms are able to continuously and automatically update their threat detection models with the latest software available, reducing the chance of attacks occurring through defects in outdated software.
Predictive Analysis: By recognising patterns and trends, AI can predict and pre-empt potential future attacks.
Automated incident response:
When a threat is detected, response time is essential. Automated incident response (IR) systems respond to cyberattacks almost instantly based on predefined actions.
How automated IR system work:
Pre-Defined Responses: These systems execute predefined workflows without the need for human intervention.
Post-Incident Analysis: Automated analysis and reporting tools analyse incidents and generate insights that can be used to avoid / protect against similar future incidents.
The ICT industry plays a big role in digital transformation, making them high-value targets to cyber criminals. In addition to their current cybersecurity measures, the adoption of automated cybersecurity has the ability to equip them with the tools needed to detect threats earlier and respond faster.
