The world of cybercrime is changing and so are the challenges to cybersecurity on an increasing scale. Though enterprises today are aware of the cyber threats and are working fairly good in protecting the network layers and the endpoints of cybersecurity surface; but still fall prey to cybersecurity risks.
Cybersecurity, also referred to as information technology security, is all about technologies, processes, and practices designed to protect networks, devices, programs, and data from an attack, damage, or any unauthorized access.
The world today relies on technology more than ever before with a surge in digital data. Enterprises nowadays transmit large amounts of data through networks daily which need to be secured as well as the systems which store or process such data. Therefore, an efficient and effective cybersecurity posture is required to protect the organizational assets made up of multiple disparate systems.
To achieve cybersecurity, the key components to be considered are as follows:
Application security- Use of antivirus programs, firewalls, and encryptions to minimize any unauthorized access or modification of application resources.
Identity Management & Data security- Frameworks, processes, and activities enabling authentication and authorization of individuals to information systems as well as implementing strong information storage mechanisms to ensure data security.
Network security- Protecting internal networks from intruders by implementing strong passwords, two-factor authentication, etc.
Cloud security- Eliminating the risks related to on-premises attacks using cloud service providers such as AWS, Google, Azure, Rackspace, etc.
Data loss prevention- Setting up network permissions and policies for handling data loss as well as develop data recovery policies for handling cybersecurity breaches.
User knowledge- Making users aware of clicking on unknown links and download suspicious attachments that could let in malware and other forms of malicious software.
As new technologies are emerging on a high scale, it has led to the development of more avenues of attacks as well. The continually evolving nature of security risks comes out to be the most problematic element of cybersecurity especially challenging for the smaller organizations to cope up with.
To keep pace with the growing cyber attacks, enabling automation, machine learning, and artificial intelligence(AI) in their security architecture will help security professionals to organize and manage data. In areas with high volume data, AI and machine learning can be useful such as:
- detecting infections by implementing a security platform
- identifying possible threats and predicting an attacker’s next step by correlating data and organizing it
- generating protections without putting a strain on resources; and
- continually auditing the effectiveness of protections in place to ensure they are working.
Despite spending amounts of money on security levels, breaches are increasing on a rapid scale. To combat cyber threats, enterprises should focus on adopting cost-effective security measures for superior software assurance throughout.