Agentic AI Accelerates Software Builds and App Attacks

Infosecurity Magazine reports that agentic AI is accelerating software builds and mobile app attacks. The article cites Digital.ai data showing 87% of apps were attacked over the past year, per the coverage indexed by ITSecurityNews (sourcing Infosecurity Magazine).

The scraped report provides no granular telemetry, exploit chains, or representative attack examples. Publicly discussed agentic tooling generally automates multi-step workflows such as build orchestration, dependency resolution, and scripted interactions with APIs. In security contexts, that class of automation can shorten the time from idea to working exploit by reducing manual steps required to assemble payloads, test builds, and iterate attacks.

A reported figure of 87% of apps facing attacks in a 12-month window underscores broad exposure across mobile and software supply chains. For practitioners, the intersection of automation in CI/CD and increasingly capable agentic models raises the operational challenge of distinguishing benign build automation from malicious or compromised automation acting inside pipelines.

monitor build pipeline telemetry, dependency integrity signals, and anomalous agent behaviour in automation runtimes. Watch for follow-up publications from Digital.ai or Infosecurity Magazine that publish dataset methodology, attack vectors, and concrete indicators of compromise to move from headline risk to measurable mitigations.