Neuralsec combines your existing security signals with native implementation-aware detection, then investigates findings and software changes against the same continuously updated system context.
The context for a single decision is spread across tools and people:
Every triage decision starts by rebuilding that context by hand - and the next one starts over again.
Every finding and every change is evaluated against one continuously updated model of the system and the organization - so each decision builds on the last instead of starting from zero.
Specialized security reasoning
Models reason. Evidence decides.
Model output can explain and assist. Retained implementation evidence grounds the security decision.
A reported finding becomes an evidence-backed security verdict.
Maintain evidence of what was detected, how findings were investigated, which risks were accepted or remediated, what changed, which controls were affected, and how security decisions evolved over time.
Relevant to security programs aligned with SOC 2, ISO 27001, NIS2, DORA, and the Cyber Resilience Act, where applicable. Applicability depends on the organization, sector, and product. Neuralsec supports the technical Product Security and evidence layer; it does not replace legal, audit, or certification responsibilities.
Implementation-aware and business-logic detection alongside SAST, SCA, secrets, pentest, and SARIF signals.
Validated risk, contextually mitigated, not exploitable as reported, or human review - each with its evidence.
Findings grouped into the systemic failures and missing controls behind them.
Root-cause fixes, validated against the original security condition before they are merged.
Evidence and focused review guidance for production-bound changes, according to your policy.
The same context available to your team's questions and to compatible coding agents.