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Empowering Role of AI in Cybersecurity

By harnessing the potential of AI, security professionals can significantly enhance their cyber defense capabilities, effectively combating cyber threats and safeguarding their organizations’ digital assets

Roles of Artificial Intelligence by TechRectory.
Roles of Artificial Intelligence by TechRectory.

Artificial intelligence (AI) is more than just a booster for cyber security; it acts as a resource-leveling force-multiplier, expanding the realm of possibilities. Security professionals can proactively leverage AI in five key ways to stay ahead of cybercrime and keep their teams ahead of hackers. These are the roles of Artificial Intelligence;

  1. Threat Intelligence and Information Sharing AI offers advanced threat intelligence capabilities by aggregating and analyzing vast quantities of data from diverse sources like open-source intelligence, dark web monitoring, and security feeds. It provides real-time updates on emerging threats, malware signatures, and indicators of compromise, enabling actionable insights and expedited information sharing.

  1. Malware Prevention and Detection AI’s processing power is a formidable weapon in the fight against malware. While not infallible, AI can identify patterns indicating malicious activity, build a library of malware samples, and detect unknown malware strains. By leveraging AI-based malware analysis technology, organizations can reduce the risk of cyber threats and data breaches.

  1. Security Orchestration, Automation, and Response (SOAR) SOAR tools streamline security operations by automating critical functions such as threat and visibility management and incident response. AI algorithms analyze alerts to prioritize and recommend appropriate actions. Additionally, AI-driven automation can execute predefined responses to contain and neutralize cyber threats, minimizing their impact.

  1. Adaptive Authentication and Zero Trust AI powers adaptive authentication, adjusting user verification levels based on each login attempt’s risk profile. Machine learning engines improve the accuracy of adaptive authentication over time. In the context of zero trust, AI is crucial in managing access at granular levels and in real-time, ensuring a system based on the principle of least privilege.

  1. Cloud Workload Protection AI plays a crucial role in securing cloud workloads by analyzing the normal behavior of applications and processes. Machine learning algorithms detect deviations from the norm, identifying potential vulnerabilities or threats. Organizations can then implement stronger controls, ensuring the integrity and security of cloud-based applications and data.

By harnessing the potential of AI,these roles of Artificial Intelligence helps security professionals to significantly enhance their cyber defense capabilities, effectively combating cyber threats and safeguarding their organizations’ digital assets.

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See also Buguard Raises $500,000 in Seed Funding to Tackle Dark Web Cyber Threats

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Written by Grace Ene

Author for Techrectory.

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