An adoption curve describes how quickly people or organizations begin using a new technology. Early adopters test it first, then broader groups follow as the tool becomes cheaper, easier to trust, or required by policy. In cybersecurity, the curve matters because risk changes at different stages: a new control may be strong but rare, while a new attack method may spread faster than defenders can adjust.
Attackers and defenders both ride adoption curves. Criminal groups often adopt new phishing kits, remote-access tools, or encryption methods only after they prove reliable and profitable. Defenders, meanwhile, may delay patching, MFA rollout, or endpoint protection because of cost, compatibility, or training needs. That gap creates exposure windows. Understanding the adoption curve helps security teams predict when a technology will become common, where resistance will slow deployment, and when fast-moving adversaries may gain an edge.