India, July 22 -- A severe vulnerability is not always the most dangerous weakness in a network. What matters is whether an attacker can reach it, exploit it, gain privileges, and move closer to a critical system. That distinction is driving interest in AI cyber risk platforms. These systems combine asset data, identity permissions, vulnerability findings, cloud telemetry, and security alerts to show how separate weaknesses may form a usable attack path. For Indian security teams, the practical value lies in better prioritization, faster investigation, and clearer risk reporting.

Security teams cannot protect systems they do not know exist. Modern enterprises may run cloud workloads, containers, software-as-a-service tools, application p...