Coding agents can produce more software than humans can review line by line. Neuralsec provides persistent security context, automated evidence, and change assurance so teams can increase engineering velocity without scaling security effort at the same rate.
Coding agents multiply the number of changes a team ships. Line-by-line security review cannot grow at the same rate - and an agent without security context repeats the same weaknesses at the same speed.
Growth in GitHub Copilot code review usage since launch
Copilot now accounts for more than 1 in 5 code reviews on GitHub
Source: GitHub, March 2026Median PR size more than doubled in Cursor's productivity data
AI edits per developer nearly tripled over the same indexed period
Source: Cursor Insights, 2026Increase in p75 lines added per PR year over year
Source: Cursor Developer Habits Report, July 2026Figures are each vendor's own platform data.
Software production is accelerating. Human review capacity is not.
The agent brings the coding capability. Neuralsec brings the security context.
Policy decides the approval. Neuralsec provides the evidence and focus.
This also helps organizations retain accountable evidence for secure-development and change-management controls as AI-generated change volume grows.
Turn recurring security failures into actionable guidance for engineers and coding agents.
System context, exposure paths, previous security decisions, and organizational guidance available to compatible coding agents while they work.
Production-bound changes evaluated against system context, findings, and controls, with evidence produced according to your policy.
Proposed fixes checked against the original security condition before they reach review.
Recurring weaknesses turned into repository guidance, AGENTS.md-style instructions, and coding-agent guardrails.
Support varies by tool and integration.