Modern problems require modern solutions – The statement is highly relevant to the cloud, cyberspace and cyber security arena. The evolving technologies for enhanced user experience also have security challenges, which over the last few years are transitioning towards an evolving quality armor, we all know as artificial intelligence. This fast-forward facilitation has a far-reaching scope, making cybersecurity operations quick and affordable with minimum human effort.
Over the last decade, cybersecurity has evolved for individuals and businesses with the introduction of emerging technologies like Machine Learning (ML) and Artificial Intelligence (AI), thus creating a pathway for the future of Security Operations Center Services (SOC). Together, trio is nothing less than a full-fledged Managed Security Operations Center for all your provisional data.
The Role of SOCs in Cybersecurity
Security Operations Centers play a crucial role in sustaining security and protecting the stored data by identifying, handling and resolving cybersecurity threats. With the complexities of niche technologies and many sensitive data stored on the cloud by different organizations, traditional methods fail to provide optimum security. Security Operations Center Services and Managed Security Operations Center are behind-the-scenes mechanisms for ensuring streamlined day-to-day cybersecurity of mapping, detecting/analyzing, and mitigating any cyber threat or attack.
The AI Advantage in SOCs
Artificial intelligence acts as a stimulus to enhance and evolve the cybersecurity process by optimizing human intelligence. Automation is now revolutionizing the task of continuous monitoring. AI streamlines threat intelligence by acting as a primary source of detection and validation, understanding the risks, reviewing previous data to analyze & interpret upcoming cyber threats, calculating the risk scores, implementing upgrades, and suggesting improvement areas. Different businesses use AI-driven SOCs, with security features customized according to their requirements. The technology is still shaping up and requires external human support to resolve cyber-attacks, but its advantages are already acknowledged in the cybersecurity domain.
The Transformation of SoCs Powered by AI Bots
Every emerging technology has features to ease processes and minimize human effort in the long run. AI bots for cybersecurity are considerably a boost for organizations struggling to secure their data and systems from unprecedented cyberattacks. The technology brings to the table many advantages for SOCs, some of which are:
Fast Monitoring & Mapping: AI-based cybersecurity solutions are way ahead of traditional methods in threat detection as monitoring and mapping are automated. This gives the advantage of anticipating the threat in advance, thorough analysis, and quick response, making the Security Operations Center Services more effective.
Continuous Learning and Adapting: The primary benefit of AI & Machine Learning in any sector is its ability to copy human intelligence and develop algorithms to improvise action. This process of continuous learning powers cybersecurity as the AI model can analyze behavior to recognize patterns of various datasets. This powers the threat detection process as the Bots can easily identify and highlight any deviation with Security Operations Center Services or Managed Security Operations Center, signaling an attack.
AI & Machine Learning Algorithms: Most cybersecurity teams face the challenge of finding the right tools and measures to analyze threats and counter cyber-attacks, which can result in data loss, identity theft, or other concerning issues. However, machine-learning algorithms enhance the process by not only identifying the behavior patterns of huge datasets but also tracking user patterns. E.g., these algorithms easily comprehend email patterns to detect phishing attacks.
Scalability: The IT sector is undergoing tremendous changes with the evolution of AI and Machine Learning. The integration of AI in Security Operation Centers and Managed Security Operations Center reduces the need for human intervention as the system automatically tracks data, updates at regular intervals, and carries out an end-to-end suite of cybersecurity checks through the system to detect and fix the issues. The entire process is transitioning to automation and the system is evolving and scalable according to the security requirements.
Endpoint Protection & The Zero Trust Model: The use of AI Bots in cybersecurity centers gives an edge in protecting end-user devices controlled at terminals or through wireless connections. AI Bots secure the entire network by tracking and controlling devices, applications used, and the browsers accessed by the end user. The AI Bots reinforce cybersecurity processes with the Zero-Trust Model that works on the principle, ‘Never Trust, Always Verify’.
An AI-driven SOC brings the advantage of 24x7x365 days (about 12 months) of security. While the pros of integrating AI Bots in any organization’s cybersecurity are high, the technology has its share of challenges. As it is still an evolving concept, over-reliance on artificial intelligence is not advisable for businesses. It is essential to consider the limitations and create a balance between human intervention and Bot control to derive the best out of modern technology and human intelligence.
