Automation and machine learning can give cyber security experts what they need, when they need it
with regards to security of the business and enterprise defence. Workforces are no longer working
only from secured environments and attacks are getting more and more sophisticated putting the
businesses at risk.
But automating security helps reduce the noise.
One big picture
Security operations teams within a business are often juggling legacy data centers and multiple
cloud providers, not to mention the management of new platforms. Legacy systems, new platforms,
multi-use services across multiple cloud providers or data centres can become even more of a
headache for the team.
With multiple technologies, in multiple locations, understanding how the data is being processed will
be challenging for any enterprise defence team. They need one big picture.
One way is to pull the information so it can be viewed and then processed and understood.
Security automation therefore helps the team catch problems, run smoothly and keep track of
incidents from multiple angles.
Faster response time
With the volumes of the data produced on the increase all the time and the types of attacks always
changing, the work for human analysts to come up with answers is time consuming and arduous. By
introducing automation and machine learning the volumes of information can be reduced down to
According to Gartner, there are strategic shifts in the security ecosystem that are expected to impact
industries and have significant potential for disruption on any enterprise defence team.
Extended detection and response
Extended detection and response (XDR) solutions automatically collect and correlate data from
multiple security products to improve threat detection and provide an incident response capability.
The primary goals of an XDR solution are to increase detection accuracy and improve security
operations efficiency and productivity.
Security process automation
More security process automation is being implemented due to the shortage of skilled security
professionals and the availability of automation within security tools. Computer-centric security
tasks are automated by this technology based on predefined rules and templates. It’s faster,
scalable, with fewer errors.
AI and ML
Artificial Intelligence (AI) and Machine Learning (ML) enhance enterprise defence by anticipating
attacks, continuing to automate and augment human decision making.
Enterprise-level chief security officers (CSOs)
Enterprise level CSOs are being deployed by organisations to implement centralised enterprise
defence models across all areas of a business.
With the evolution of remote office technology, cloud-delivered security services are growing
increasingly popular. Mobile workers and cloud applications are better protected by secure access
service edge (SASE) technology because traffic is routed through a cloud-based security stack.
A full life cycle approach
Using the same security product for enterprise defence on end-user-facing endpoints as for server
workloads is a mistake many organisations make. Cloud-native applications need different
techniques and rules which lead to the development of cloud workload protection (CWPP). The
point is that as the applications change, so do the security options.
Zero-trust network access
The issues with VPNs have been revealed by the pandemic and emerging zero-trust network access
(ZTNA) enables enterprises to control remote access to specific applications. ZTNA “hides”
applications from the internet making it a more secure option for enterprise. It communicates only
to its service provider, and can only be accessed via the provider’s cloud service, reducing the risk of
attackers piggybacking on the VPN connection to attack other applications.
Nclose offers advanced tailor-made cybersecurity services and solutions for enterprise level information & data protection. The top cyber protection specialist consultancy for businesses across southern Africa. Get in touch today to discuss your enterprise defence requirements.