The Future Of AppSec May Be Autonomous, But The Present Is Surprisingly Practical
AppSec teams are adopting AI today—not for autonomy, but for triage. Vendors are betting on agents; practitioners are betting on accuracy.
Why it matters
AI is moving from vendor hype to practical deployment in application security, but adoption is constrained by trust and ROI uncertainty rather than capability. This is an industry in transition, with practitioners skeptical of autonomous claims.
The key facts
9 to knowAI adoption in AppSec constrained by trust concerns, value questions, and pricing uncertainty
Vendors aggressively investing in autonomous agent capabilities
Practitioners using AI for risk identification, prioritization, and remediation—not full autonomy
Gap between vendor roadmap (autonomous agents) and customer reality (practical tooling)
AI becoming core to AppSec tools for risk identification, prioritization, remediation
Vendor investment aggressive but adoption constrained
Key barriers: trust concerns, value uncertainty, pricing model confusion
Gap between autonomous-agent narrative and practical near-term deployments
Forrester report on AppSec AI adoption trends
Go to the source
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Publisher excerpt: AI is no longer a future feature in application security; it is rapidly becoming a core part of how application security (AppSec) tools identify, prioritize, and remediate risk. Yet despite aggressive vendor investment, adoption remains constrained by trust concerns, questions about value, and…