AI-Powered Code Security
Neurowall is an AI-powered static code security scanner (SAST) that finds vulnerabilities in your source code and configuration files - and runs entirely on your infrastructure. Built for development and security teams.
Find logic flaws, auth bypasses, and injection vulnerabilities - without sending a single byte of source code outside your infrastructure.
The Problem
Traditional SAST tools reliably detect known vulnerability patterns. But they consistently miss what matters most -logic flaws, broken access control, and context-dependent issues that real-world attackers actively exploit.
Cloud-based AI security tools require sending your code to third-party servers for analysis. For banking, defense, healthcare, and IP-sensitive companies - that's a non-starter.
Security gaps in code are the #1 attack vector - and they're getting harder to find with traditional tools alone.
Sources: IBM Cost of a Data Breach Report 2024, Synopsys OSSRA Report 2024
Use Neurowall with local LLMs for fully air-gapped, 100% private scanning. Or connect to OpenAI, Azure AI, or other cloud LLM providers when you need maximum model capability.
The choice is yours. Neurowall gives you digital sovereignty, compliance, and flexibility without locking you into a single approach.
Neurowall delivers a higher true positive detection rate than traditional pattern-based scanners.
On top of that, we've built features specifically designed to reduce false positives, improving both efficiency and trust in the results.
Our Platform
AI-powered application security with on-premises deployment
AI-powered application security platform with a 3-layer scanning pipeline. Scan source code for vulnerabilities and audit OS configurations for misconfigurations, weak defaults, and compliance gaps - all running on your infrastructure.
Deploy on-premises. Zero bytes leave your network.
Your security command center. Monitor all projects, track severity distribution, and view your security score at a glance.
Security Dashboard

Data Sovereignty
Every third-party service that touches your code expands your attack surface. Recent supply chain attacks on major security vendors proved that even security tools can become attack vectors. Neurowall runs entirely on your infrastructure - nothing leaves.
EU regulations like DORA and NIS2 require rigorous third-party risk assessments for cloud services handling sensitive data. On-premises deployment eliminates this compliance burden entirely - no vendor audits, no data processing agreements, no jurisdictional risk.
Your source code is your most valuable asset. On-premises means zero exposure to third-party data handling, retention policies, or jurisdictional risks like the US CLOUD Act.
Bare-metal, VM, or private cloud. Air-gapped environment support.
Local LLM (Ollama/vLLM), OpenAI API, Azure AI, or any compatible provider.
SaaS option for teams without on-premises constraints.
Why Neurowall
They send your code to third-party servers for LLM analysis. Neurowall runs everything - including AI - on your infrastructure.
Traditional on-premises SAST tools rely on pattern matching alone. They miss logic flaws, context-dependent bugs, and complex vulnerability chains.
A 3-layer AI pipeline (pattern scan + LLM reasoning + false-positive filtering) that runs entirely on-premises. No trade-off between intelligence and privacy.
Capabilities
Everything you need for comprehensive security
Pattern & CVE scan, Deep LLM analysis, and automated false-positive filtering. Higher true-positive rate than pattern-only tools, fewer false positives.
Interactive dialogue with AI about any finding. Ask follow-up questions, explore exploitation paths, get context-aware remediation. Reduces triage time from hours to minutes.
Monitor all projects from a single view. Severity distribution, security score, scan history. Built for security teams, not just developers.
Use local LLMs for fully private scanning, or opt into cloud LLMs like OpenAI and Azure AI when you need them. You control where your data goes.
GitHub Actions, GitLab CI, or any pipeline. Automate scans on every commit or pull request.
Assign findings to team members, track resolution status. Generate PDF reports for management and compliance audits.
Getting Started
Integrate Neurowall into your security workflow
Link your Git repository or upload source code. Configure your AI backend - local LLM for air-gapped scanning or cloud provider for maximum capability.
Neurowall runs a Pattern & CVE scan, enriches findings with Deep LLM analysis, and filters false positives through cross-validation.
Browse findings in the security dashboard. Use the AI Investigation panel to understand exploitation paths, view code context, and get recommended fixes.
Apply AI-generated fixes, assign findings to team members, track resolution progress, and export PDF or SARIF reports for compliance.

AI-powered vulnerability analysis with code context
Inceite is an EU-based cybersecurity and AI company providing software development, security, and machine learning services to organizations across banking, telecommunications, and energy sectors. Our team brings decades of combined experience in Software Engineering, IT Security, and AI.
Our flagship product, Neurowall, is an AI-powered application security platform designed to detect vulnerabilities that traditional scanners miss. Built with a privacy-first philosophy. We hold top certifications including CISSP, OSCP, OSCE, CEH, and OSWE.
By bringing the power of large language models directly to your infrastructure, Neurowall ensures your code and intellectual property remain completely secure while providing industry-leading vulnerability detection.
Visit inceite.comLeadership
Expertise in security, AI, and enterprise software

COO & Co-Founder
ML expert with 15+ years in software engineering, research, and consulting. Co-founder of Valculus GmbH. Former ML Engineer at Bidnamic, previously at Google, Citi, and PwC. Graduate of CS at University of Vienna and Warsaw University of Technology. MBA from Warsaw University of Technology in partnership with London Business School, HEC Paris, and NHH Bergen.
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CTO & Co-Founder
Cybersecurity expert with 15+ years in offensive and defensive security. 200+ penetration tests completed, multiple critical CVEs discovered in well-known commercial products. Speaker at international cybersecurity conferences. Holds CISSP, OSCP, OSCE, OSWE certifications and MBA. CS degree from Warsaw University of Technology.
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Ready to secure your code with privacy-first AI? We'd love to hear from you.
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moc.etiecni@ofni