This article discusses how adversaries are utilizing Generative AI (GenAI), specifically Large Language Models, to enhance their malicious activities in cybersecurity. It highlights the creation of deepfake scams, AI-powered chatbots for scams, and code obfuscation techniques. The necessity for predictive intelligence to disrupt adversarial actions before execution is emphasized. Affected: cybersecurity, financial sector, social media platforms
Keypoints :
- Generative AI lowers barriers for creating deceptive content, attracting cybercriminals.
- Deepfake technology is being used for sophisticated scams, including voice cloning.
- AI-powered chatbots facilitate prolonged interactions to defraud victims effectively.
- Code obfuscation allows threat actors to evade detection using AI-generated malware.
- Predictive intelligence using DNS telemetry can significantly improve threat detection.
- Infoblox achieved a 77.1% protection rate against malicious domains before engagement.
MITRE Techniques :
- Deceptive Content Creation (T1363) – GenAI is used to generate convincing deepfakes and voice clones for scams.
- Automated Social Engineering (T1538) – AI chatbots are utilized to engage victims through tailored messages and tactics.
- Obfuscated Files or Information (T1027) – Cybercriminals employ GenAI to create obfuscated malware by embedding malicious code in image files.
- Domain Registration (TLD-652) – Adversaries register domains for malicious infrastructure before launching attacks.
Indicators of Compromise :
- No IoCs Found
Full Story: https://blogs.infoblox.com/threat-intelligence/as-adversarial-genai-takes-off-threat-intel-must-modernize/