This underscores a shift in strategy from reactive to proactive defense. Rather than waiting for attacks to occur and then scrambling to respond, Agentic AI can potentially identify vulnerabilities, predict attack patterns and implement countermeasures before threats can be exploited.
The speed advantage becomes increasingly important in cases like distributed denial-of-service (DDoS) attacks, an attempt to disrupt normal traffic of a server, service or network by overwhelming the target or its surrounding infrastructure with a flood of Internet traffic. When nation-state actors launch DDoS attacks to bring down networks, an agentic AI deployed at the network perimeter can potentially identify attack patterns, analyze traffic anomalies and modify firewall rules autonomously, thereby eliminating the response delays that typically allow attacks to succeed.
Strategic implementation: Building your agent defense network
Successfully deploying Agentic AI moves beyond a traditional “one-size-fits-all” approach. Instead, organizations should build teams of specialized agents, each designed with its own function that work within coordinated defense networks. This could be like the following:
