BotNet News

The cybersecurity world is rapidly adopting AI to improve threat detection and response. Attackers, meanwhile, are using the technology to enhance their capabilities and create advanced malware that evades detection and exploits vulnerabilities.

Fortunately, there’s also good news for defenders: AI cybersecurity tools can reduce the cost and time to detect and respond to threats, and ultimately make it much harder for attackers to breach an organization’s defenses.

Security professionals can use AI to help automate incident response (IR) and forensics to speed up cleanup after an attack, reduce the risk of future attacks, and improve overall security posture. AI can also help to analyze and correlate threat data, detect anomalies, and perform specialized tasks like reading source code to find and mute malware.

For example, some AI cybersecurity tools use deep learning (DL) to scan large numbers of software programs for known vulnerability patterns. Then, when the system sees an unpatched vulnerability, it automatically deploys patches or mitigations to reduce a company’s attack surface.

The technology can also be used to analyze a company’s network for signs of malicious activity, including stealthy lateral movement. AI can help to identify such behavior, which can be difficult for humans to recognize, by analyzing and interpreting billions of records of network traffic to search for hidden patterns.

To ensure the integrity of AI-powered tools, it’s important to maintain human oversight and test for bias. It’s also critical to use secure AI systems that are designed with privacy in mind and that can comply with privacy laws, regulations, and standards.