AI-enabled security analytics solutions: The onset of a data-driven security approach for organizations

With the increasing risk of cyberattacks, enterprises and organizations are struggling to develop robust security programs without a potential data-driven approach. Security analytics is a great saviour that has offered popular decision-making choices by considering the organization's historical cyber threat and incident response data. In this blog post, we are going to discuss the way organizations are utilizing security analytics to secure their operational processes.

Let's take a look at the different aspects of cybersecurity analytics approaches in this context.

What exactly is security analytics?

Organizations are confronting major challenges in securing and managing data from cyber threats. Security analytics is a defined approach to cybersecurity and protection that potentially utilizes data collection aggregation and advanced analysis to amplify the ability of an organization to evaluate, analyze and manage security risks. It enables businesses and organizations to make volumes of security data getting in and out of the network assisting them to improve infrastructure from an expensive data breach.

Security analytics solutions are deployed for rapid threat detection and response creating real-time risk evaluation and security posture management. Solutions that are powered by security analytics are more valuable to an organization by administering them with an all-inclusive approach.

Establishing security analytics using AI & ML

Artificial intelligence and machine learning algorithms enable real-time analysis. For instance, they enable security teams to gain primordial detection of a cyber attack with actionable insights for stopping an attack. Advanced AI and ML algorithms assist organizations in establishing unified risk models that analyze cyber risks to improve their security posture.

Advantages of security analytics

Security analytics are bringing important advantages to organizations.

Advanced forensic capabilities

Security analytics have improved forensic abilities with information regarding the origin of an attack, the way it happened and the extent of damage to assist in building an accurate attack timeline. It enables forensic personnel to reconstruct crime scenes and create in-depth analyses to help businesses improve security defences.

Threat detection & responses

Security analytics play a pivotal role in analyzing a vast array of data sources relating to event data and incidents for detecting threats by user behaviour and recognizing potential suspect activity in the online attack system. It helps in improving visibility into complex attack techniques such as lateral movement and data exfiltration.

Regulatory compliance

One of the major benefits of security analytics solutions is that organizations can stay compliant with government and industry regulations. These rules and restrictions need effective monitoring as well as the gathering of data across different forensic purposes, significantly administering a unified view of data events across all devices.

Evaluation & security posture

When risk management systems are combined with security analytics, it enables security teams to collect data relating to the cybersecurity framework of a network and its security controls.

Operational reporting

When it comes to operational reporting AI video analytics software plays a major role in collecting, analyzing, and reporting cyber risk information business. Leadership and security are capable of using these metrics and performance indicators to make informed decisions relating to their organization’s security risk.

Major use cases of AI video surveillance software

AI security video surveillance software administers several use cases for threat detection and threat response. It involves proactive analysis of network traffic and sensitive systems to pinpoint suspicious activity. Additionally, it detects data exfiltration by attackers and recognizes security breaches to ensure instant response to cyber attacks. AI video surveillance software is utilized to detect insider threats by effectively monitoring the actions of users and identifying anomalous behaviour. Video security solutions help organizations by offering data storage and protection.

Management of vulnerability

For vulnerability management, AI-enabled security analytics plays a major role by rendering a security dashboard and attributes to OS, risk owner, and geographic location. This enables organizations and businesses to resolve vulnerabilities rapidly.

Cyber risk quantification

A security dashboard that reports on cyber risk quantification effectively measures cyber risk by breach likelihood and impact and tracks risk easily. These metrics are relevant in driving alignment between security and leadership teams relating to cyber risk.

The major benefit of an AI-powered security analytics solution is that it can easily visualize data into dashboards that can offer actionable insights. Data displayed on the dashboards can be tailored to cater to the needs of the audience. These dashboards enable faster threat detection as well as response across the organization.

Wrapping up

After constant observation of the AI-enabled security analytics system, it can be concluded that AI video management software has popular usage across different industry verticals. It has been able to put an end to major malicious attacks that could potentially harm a company's reputation. It analyzes security data and generates relevant insights that can be harnessed to counter potential cyber threats. As the leading software development company, Nextbrain has experienced professionals with many years of relevant knowledge in tackling challenges from diverse verticals. At our company, our primary goal is to help organizations execute and improve security analytics efforts with expert consultations and a vast array of cybersecurity services.

Saran

Author

Views : 663 | Posted on December 04, 2023