Cybersecurity in the Age of AI: New Threats and How to Fight Back
AI is upgrading cybercrime into faster, more targeted attacks that pressure your people and processes, and it is also introducing new technical failure modes inside LLM-based tools you deploy. You fight back by tightening identity and verification controls, hardening AI-enabled workflows, and running security operations with automation, logging, and response speed built in. You will get a practical view of what is changing in phishing, fraud, malware, and nation-state activity, plus how to defend your organization without betting on “spot the deepfake” training. You will also get a clear operating model for using LLMs safely at work, with controls that map to real incidents and to widely used security guidance. How Is AI Changing Cyberattacks Right Now (Phishing, Scams, Malware, And Nation-State Ops)? AI is compressing the attacker’s cycle time. Recon, copywriting, translation, personalization, and multi-channel follow-up now run at scale with minimal human effort, so you face higher ...