Cyber attacks became highly automated in this modernised society. If enterprises want to defend against these cyber attacks manually, the fight becomes man versus machine with unfavourable odds for the enterprise. To protect successfully against automated attacks, it is required to fight fire with fire or with a machine with the machine through incorporating automation into the efforts of Cybersecurity. Automation levels are reducing the threat volume, allowing faster prevention of distinct unknown threats.

Most security vendors consider automation as the way to become more efficient and as a means to save in headcount or workforce. Automation indeed should also be viewed as a tool that should be used to predict behaviours in a better way and execute protections much faster. If appropriately implemented using the appropriate tools, automation can aide to prevent cyber attacks.

Distinct Ways Automation is used as follows:

Correlating Data

Most security vendors collect threat data in substantial amounts. Therefore, the data provides only little value unless it is organised into actionable next steps. It is essential to identify threat’s groups behaving similarly within the massive data amounts and use them to predict the next step of the attackers. While using this approach, provides accurate results reducing the likelihood identifying the groups merely an anomaly.

Generating Protections Faster Than Attacks Can Spread

Once a threat is identified, it is essential to create protections and distribute them faster than any attacks spreads throughout the enterprise’s networks, cloud, or endpoints.  Creating a full set of protections manually for distinct security technologies and enforcement points that are capable of countering future behaviours is a huge process that not only moves slowly but also in extremely difficult.

Protection Implementation Faster Than Attacks Can Progress

After creating protections, they should be applied to prevent cyber attacks from progressing further throughout the lifecycle. Utilizing automation in the protection distribution, which is the best way to move faster than a well-coordinated and automated attack and stop it. With automation, big data attack-sequencing and automatic generation and protections distributions, it is easier to predict the next steps of cyber attacks which are unknown and move fast enough to prevent it.

Detecting Infections Already in Your Network

When the moment the threat enters the system, it’s time for the timer to start counting till becomes a breach. To prevent an attack before data leaves the system, you have to move faster than the offence. To identify infected suspicious behaviours, you must be able to analyse data from your environment both sides in time, looking for a combination of behaviours indicating your environment’s host that has been infected. In addition to investigating unknown threats attempting to enter the network, correlating and analysing the data manually across manually, clouds, and endpoints to scale. Automation allows for faster analysis and should a host on your system be compromised, intervention and quicker detection.

Most attackers utilize mechanization to move rapidly and send new threats dangerously fast. The most ideal approach to keep up and guard against these dangers proficiently is to utilize mechanization as a component of your cyber security efforts. Palo Alto-a next-generation security platform rapidly analyses data and turns it unknown threats into known risks, creating an attack DNA, and automatically establishing as well as enforcing a full set of protections through the enterprise to stop the attack lifecycle.