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AI empowers cybercrime groups to streamline their attacks, elevating their effectiveness in targeting organizations and breaching defenses.
Senior Product Manager at OPSWAT.
AI’s analytical prowess amplifies social engineering tactics like phishing by analyzing vast amounts of publicdatato personalize attacks.
This leads to a higher success rate for phishing campaigns and an increased likelihood of breaches.
Cybercrime groups can scale both malware attacks and targeted phishing campaigns, posing a severe threat.
Traditional security tools relying on existing knowledge of malware behavior may fall short against new AI-powered polymorphic malware.
Embracing threat hunting over a passive approach enables organizations to keep pace with evolving threats.
AI enables enhanced threat detection and hunting.
Algorithms analyze diverse datasets, ranging from system logs to data pipe traffic mapping out patterns and user behavior.
These capabilities of AI tools also reinforce a Zero Trust model.
Identification of real-time anomalies can trigger user access to be revoked as soon as suspicious behavior is detected.
The AI algorithm will also learn and adapt to improve detection of suspicious entities.
Data analysis can also produce real-time risk assessments built from contextual data which is specific to individual users.
Privileges to company resources can be automatically adjusted in line with the risk assessment score.
This approach simplifies adherence to the least privilege principle of zero-trust security.
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