Security breaches have increased in recent years. According to a report by Cybersecurity Ventures, security breaches will cost more than $6 trillion by 2021 which is more than the GDP of a few countries. Recently, a popular forum was breached, and the data of nearly a hundred million users was compromised. Similar data breaches occur from time to time which signifies that cybersecurity measures need to be bolstered. Incorporating modern cybersecurity practices is a challenging task especially, for start-ups and early-stage ventures. A cybersecurity expert can provide a solution but their demand is high, and their availability is low. Even though companies are willing to pay more, retaining top talent has become tough as the competitors have become fierce.
Companies are adopting cloud computing which offers increased flexibility. However, the adoption also calls for better attention to security practices. Manual vulnerability evaluation, simulating breaches, and then patching is a slow process and cannot catch up with the dynamically adjusting cloud environments. Automation in the form of security orchestration and automated response allows an organisation to perform vulnerability assessment, attack simulation, and patch simulation. Furthermore, it performs internal and external regulatory compliance and then incorporates the changes to cloud environments. The tools available in the market are not highly efficient and relying on just one or two tools to achieve security orchestration, and automated response can pose a risk.
Organisations are rapidly adopting public clouds. These platforms offer great flexibility and agility to the users. Multi-tenancy is a common phenomenon where a single physical machine is divided into multiple machines. A traditional approach to performing forensic analysis of a cloud environment is not useful because there are always two or more parties involved. Therefore, establishing proper regulatory frameworks is essential. Cloud forensics is a subfield of Network Forensics or in other words digital forensics can be applied to cloud computing. As cloud-computing is gaining momentum, cloud forensics is going to be huge. Artificial Intelligence (AI) and Machine Learning (ML) are viable options to analyse massive amounts of data and logs effectively as they can give valuable and actionable insights in less time.