AI-Based Anti-Phishing Solutions: Prevent Malware from Getting into Enterprise Networks

How can organizations counter AI-based cyber threats? When enterprise networks encounter threats generated by capabilities beyond humans, AI is the only way to handle them. AI can help cybersecurity strategists hone threat intelligence, detect zero-day threats, eliminate false positives, and manage security alerts efficiently and effectively. Organizations can take the following steps and leverage AI to prevent malware from entering their enterprise networks.

Leveraging AI-Based Anti-Phishing Solutions
AI has been revolutionary in proving that fighting fire by fire is the best counterattack strategy. As phishing attacks have evolved much beyond emails and graduated to social media, leveraging AI-based anti-phishing solutions becomes crucial to prevent phishing attacks.

Organizations must use cutting-edge AI to detect a phishing attempt at the source and thwart it before the user becomes a victim. In addition, AI enables cybersecurity strategies to maintain a depository of known threats, allowing enterprise networks to improve anti-phishing protection technologies.

Effective Identity Automation:
Ascertaining user identity is critical because malicious actors use AI to impersonate other users and move laterally through the system network to infiltrate and compromise information assets. Therefore, it becomes crucial for enterprise networks to maintain an effective identity and access management (IAM) system that allows access to the right people to carry out their specific tasks whenever required.

Automated lifecycle management ensures removing the identities of employees who have left the organization from the database. Threat actors use AI to access networks. A single sign-on (SSO) process ensures users do not have multiple logins. IAM also secures access through various devices. 

Taking Steps to Prevent Polymorphic Malware
Malicious actors have developed innovative techniques to launch their vicious attacks. For example, polymorphic malware cannot be detected using traditional signature-based methods. Instead, they use new decryption routines to mutate their appearance or signature files.

The only way to detect such malware is by using AI-based anti-malware solutions. An AI-based anti-phishing solution can detect phishing attempts and alert users before the malware strikes the network, enabling cybersecurity teams to initiate prompt corrective action and eliminate the threat before it accomplishes its task.

Early Prediction, Detection, and Mitigation Capabilities:
One of the significant advantages of using AI-based anti-malware solutions is that they can detect the threat early, enabling easy identification and prompt mitigation before it becomes a significant cyber incident.

AI allows for maintaining an elaborate database of identified threats. Consequently, it becomes convenient for organizations to predict cybersecurity threat trends and have proper corrective measures to mitigate new and advanced threats.

Real-Time Credential Phishing Prevention
AI-based cybersecurity solutions prove more versatile than conventional ones because cutting-edge computer vision analyzes webpages as they download. As a result, it helps identify phishing attacks in real time and stop them from compromising your information assets.

The solution detects credential phishing attacks and alerts users to discontinue the ongoing operation. Therefore, it prevents them from becoming victims and ensures no account takeover.