5 ways you can leverage AI to defeat cyber crime

Executive Summary:

Artificial intelligence not only strengthens cyber security. It serves as a force multiplier for reconciling resources, and expands the possible. Artificial intelligence can offer real-time updates on emerging threats, provide advanced threat detection and response, streamline security operations and much more. In this article, we’ll look at five ways security professionals can proactively leverage artificial intelligence to defeat cybercrime, and keep your teams ahead of hackers.

1. Threat intelligence and information sharing. AI has advanced threat intelligence. Artificial intelligence can take vast amounts of data from various sources, including open source intelligence, dark web monitoring and security feeds, and aggregate and analyze the information in a way that allows security professionals to extract actionable insights.

AI-powered threat intelligence can provide real-time insights into emerging threats, malware signatures and indicators of compromise. It can also scan millions of files, block tens of thousands of zero-day threats, and speed up information sharing.

2. Prevention and detection of malware. The extraordinary processing power of AI can be a powerful tool in the fight against malware, although AI may not detect every malware threat. Artificial intelligence can identify and flag patterns in data that may indicate malicious activity, it can build a library of malware samples, and Detect unknown malware strains. MMarket-leading AI-based malware analysis technology reduces the probability of cyber threats and subsequent data breaches.

3. Security Orchestration, Automation and Response (SOAR). These tools can help streamline security operations in critical areas such as threat and visibility management, incident response, and security automation. They automatically scan and prioritize security alerts, reducing manual effort and response time.

AI algorithms can analyze hardware, context and Historical data Related to with alerts to recommend a course of action. What’s more, AI-driven automation can perform predefined response actions, from isolating compromised systems, to blocking malicious IP addresses or quarantining infected files. Leveraging AI within SOAR can limit the impact of cyber threats.

4. Adaptive authentication and zero trust. A type of multi-factor authentication, Adaptive authentication Adjusts the user authentication level/method according to the risk profile of each login attempt. At the core of adaptive authentication protocols are artificial intelligence and machine learning engines, which help increase the accuracy of the technology over time.

When it comes to zero trust, “Without AI, zero trust has zero chance,” he says Rohit GhaiCEO of RSA. “Identity is the most attacked part of the attack surface.” Artificial intelligence enables access management in individual terms, in real time and at the data level, and presents a system that is truly based on the principle of least rights.

5. Cloud workload protection. Artificial intelligence can play a critical role in securing cloud workloads by investigating and analyzing normal behavior of applications and processes. Using machine learning algorithms, AI can identify deviations from normal behavior and identifying potential vulnerabilities or threats. In turn, organizations can implement stronger controls where necessary, ensuring the integrity and security of cloud-based applications and data.

For more insight into artificial intelligence and how it can improve your cybersecurity initiatives, check out CyberTalk.org’s past coverage. Finally, to receive timely cybersecurity news, insights and cutting-edge analysis, please subscribe to cybertalk.org newsletter.