Imagine cyberattacks no longer being written one script at a time by a human hacker, but planned and carried out by an AI “conductor” that can write code, send phishing emails, adapt in real time when defenses change, and coordinate many moving parts at once. This piece describes that new class of AI-driven attacks and what organizations must do to defend against them.
Helps leaders understand and prepare for a new generation of cyber threats in which attackers use AI to automate and scale every stage of an attack lifecycle—reconnaissance, phishing, exploitation, lateral movement, and data exfiltration—overwhelming traditional, largely manual defenses.
For defenders, the moat will come from proprietary telemetry (logs, network data, endpoint data), well-integrated AI-driven detection/response pipelines, and organizational readiness—governance, playbooks, and talent capable of operating in an AI-vs-AI threat environment.
Hybrid
Vector Search
High (Custom Models/Infra)
Inference latency and cost for continuous, adaptive attack/defense cycles, along with data privacy and governance constraints on using sensitive telemetry to train or feed defense models.
Early Adopters
Positions AI as an end-to-end orchestrator of cyber kill chains rather than just a point tool (e.g., for phishing or code generation), and frames the topic from a consulting and risk-management perspective aimed at large enterprises planning their security and AI governance roadmaps.