TL;DR: Gartner’s Application Security Strategy 2026 report says 43% of organisations remain at the lowest application security maturity level, while 65% of engineering leaders already use AI tools and platform consolidation is reshaping tool strategy, according to Veracode and Gartner. The signal for practitioners is clear: governance, developer experience, and risk-based prioritisation now matter more than adding another scanner.
Editorial analysis by NHI Mgmt Group, based on content published by Veracode: “Looking Ahead at 2026 with Gartner: How Smarter Teams and Tools Are Making Application Security a Breeze”.
Key questions
Q: What does low application security maturity usually mean in practice?
A: It usually means teams have coverage tools but lack a reliable way to turn findings into decisions.
Q: Why does AI-driven coding increase application security risk even when it improves productivity?
A: Because productivity gains increase change volume faster than teams can classify and review the resulting software.
Q: What breaks when application security tools generate too much noise for developers to act on?
A: When AppSec tooling produces too many false positives and disconnected alerts, developers lose trust in the findings and stop prioritising them.
Practitioner guidance
- Establish governed AI coding policy Define where AI-assisted coding is allowed, what classes of projects are excluded, and what review standard applies before generated code can merge.
- Prioritise findings by exploitable exposure Use reachability, active exploitation signals, and business criticality to focus teams on the small share of issues that change risk.
- Rationalise overlapping AppSec tools Inventory scanners, supply chain controls, and posture platforms, then remove duplicate functions that create separate queues and conflicting outputs.
Bottom line: Application security maturity is still lagging because many programmes measure coverage more effectively than they measure risk reduction.
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Application security maturity is now a governance problem, not a scanner problem. Organisations can have broad coverage and still fail to reduce risk if developers cannot act on the results quickly enough. The real maturity gap is the absence of a prioritisation model that turns findings into decisions. That makes application security an operational governance discipline, not a tooling accumulation exercise.
A question worth separating out:
Q: Should organisations consolidate AppSec tools or keep best-of-breed scanners?
A: The right answer depends on closure, not ideology. Consolidation helps when it removes workflow friction, but best-of-breed tools still make sense when specialised scanners find issues your core platform misses. Teams should compare how each model affects exploitability review, root-cause remediation, and the ability to produce verified merged fixes.
👉 Read our full editorial: Application security maturity lags while AI and platform consolidation rise