Threats in the Cybersecurity Landscape
In a world where businesses are interconnected via the internet, IT security is of utmost importance for organizations. As business transactions take place more frequently over the internet, the number and variety of threats in this landscape are also increasing. This creates a necessity of finding a solution that will safeguard and secure an organization and its assets. But, the diversity of cyber threats is multiplying quicker than the availability of technologies and products to fight these highly specific attacks off. In order to be one step ahead of the cyber-attacks, organizations require an innovative solution with smarter technologies. While the solution can differ depending on the size of the organization – smaller organizations are opting for deeper network protection systems to combat the threats, and larger organizations are implementing security analytics to gain a better understanding of their current line of defence – having a security system in place is imperative.
Why is Security Analytics important?
It’s the era of Big Data and an abundance of data is generated from various channels in almost every sector of business. For this data to be beneficial, Big Data analytics and predictive analytics must be performed on it to extract relevant business insights. The same process is implemented in the cybersecurity industry, wherein analytics are used to obtain and improve security intelligence. The actual content of the data and sources from which it is generated are progressively changing and so are the analytical tools used to derive insights, which lead to a better understanding of the existing cyber threats and how to tackle them. Organizations immensely benefit from this analytics driven approach when combating new cyber-attacks such as Advanced Persistent Threats (APTs) that are specifically designed to evade firewalls, intrusion detection systems and anti-malware programs. These threats can occur silently within an organization’s network without their knowledge and hence require innovative technologies to tackle them and prevent future attacks by learning from data. Current solutions can’t provide the analytical information necessary to combat APTs. Advanced cybersecurity tools and sharing threat intelligence can aid the process of early detection and efficient defence. The only way to prevent and defend cyber-attacks and threats is for organizations to implement cybersecurity analytics tools based on the collected data.
How does Security Analytics work?
All analytics tools are used on chunks of data to extract insights, and that’s what security analytics does too. The data is generated and collected from various sources within an organization, including network traffic, endpoint and user behaviour data, external threat intelligence sources, cloud resources as well as real-time data such as geo-location, IP context, threat intelligence and social platforms. Security analytics tools use this data to learn past patterns of attacks to prevent and combat future attacks. Advanced efficient security analytics must be able to analyse real-time data as well to properly alleviate threats. Additionally, these tools analyse data from the different sources and connect the dots to determine correlations between events. This helps in understanding how an attack works and the impact it can have on the organization. Rather than replacing current cybersecurity measures, these analytics tools can serve as an additional barrier of defence between an organization and the cyber-attacks.
How is Security Analytics beneficial?
- Provides efficient and proactive threat detection and response
- Maintains regulatory compliance with government and industry rules
- Conducts real time analysis
- Provides comprehensive understanding of cyber-attacks
- Has improved forensic capabilities
- Is cost effective