Hackers now pair AI with traditional techniques — attacks are faster, smarter, and more automated.
Hackers now pair AI with traditional techniques — attacks are faster, smarter, and more automated.
AI crafts hyper-personalized phishing emails and voice scams using public data.
AI crafts hyper-personalized phishing emails and voice scams using public data.
Tools scan code and infrastructure automatically to find weak points — at scale.
Tools scan code and infrastructure automatically to find weak points — at scale.
Attackers use AI to generate obfuscated malware and polymorphic scripts that evade detection.
Deepfakes enable fake executives, synthetic calls, and fraudulent video evidence.
Deepfakes enable fake executives, synthetic calls, and fraudulent video evidence.
Attackers use adversarial examples to fool AI-based security tools and detectors.
Ransomware-as-a-service evolved: now “AI-as-a-service” lowers barriers for novice attackers.
Examples: targeted CEO scams, multi-vector extortion, automated reconnaissance for zero-days.
Examples: targeted CEO scams, multi-vector extortion, automated reconnaissance for zero-days.
Real-world examples
AI is also used for threat hunting, anomaly detection, and automated patching
1.Train staff on AI-driven phishing.2. Use multi-factor authentication.3. Monitor logs & anomalies (behavioral detection).4.Keep software patched; use EDR/XDR.5.Verify unusual requests with a second channel.
1.Train staff on AI-driven phishing.2. Use multi-factor authentication.3. Monitor logs & anomalies (behavioral detection).4.Keep software patched; use EDR/XDR.5.Verify unusual requests with a second channel.