Secure Your Code with AI - Without Sending a Single Line to the Cloud
LuraInsight is a fully offline code-security platform that reviews your source code, open-source dependencies, and cryptography for risk - using our own trained AI model. SAST, SCA, SBOM, and CBOM in one scan. Deep analysis, clear remediation, complete privacy, all inside your network.
No code leaves your environment. No internet connection required during scans. Deploys on-premises or fully air-gapped.
AI can transform secure code review. The catch? Most tools want your code first.
Security teams are under pressure to ship faster and safer. AI-assisted code review promises exactly that - catching vulnerabilities earlier, explaining them clearly, and suggesting fixes. But there is a hidden cost.
Cloud-based SAST platforms and general-purpose AI assistants typically require your source code to be transmitted to and processed on external servers. For many organizations, that is simply not an option:
The result: the teams who most need rigorous security review are often the ones least able to adopt modern AI tooling. LuraInsight was built to close that gap - delivering AI-grade secure code review that runs entirely within your own walls.
Meet LuraInsight
LuraInsight is a code security platform that brings AI-powered review fully in-house. It scans your source code, your open-source dependencies, and your cryptography - identifying security weaknesses, explaining why each issue is dangerous, and guiding your developers toward a fix. It also produces a complete SBOM and CBOM, all using our own AI model running on your own infrastructure.
Because nothing depends on an external service, LuraInsight can be deployed on-premises or in a completely air-gapped network. Your intellectual property stays exactly where it belongs: with you.
Traditional SAST tools rely heavily on rigid rules and produce noisy results. General AI assistants offer context but demand cloud access. LuraInsight combines deep static analysis with a security-trained AI model to deliver accurate, well-explained findings - with zero cloud dependency.
Code, dependencies, and cryptography - covered in a single offline scan
Most tools cover only one or two of these. LuraInsight unifies SAST, SCA, SBOM, and CBOM, so you see risk across your whole application - source, supply chain, and cryptography - without a single line ever leaving your network.
SAST — Static code analysis
Deep static analysis of your source code, tracing how untrusted input flows through your application to surface real, exploitable vulnerabilities - injection, broken auth, hardcoded secrets and more, aligned to the OWASP Top 10 and CWE.
SCA — Dependency scanning
Most applications are mostly open-source code. LuraInsight inspects your dependencies and flags components with known vulnerabilities, so you can address supply-chain risk before it ships.
SBOM — Software Bill of Materials
A complete, structured inventory of every component and dependency inside your application - full visibility into what your software is made of, generated locally so your component inventory never leaves your environment.
CBOM — Cryptography Bill of Materials
A structured inventory of the cryptographic algorithms, keys, and assets your software uses. It surfaces weak or outdated cryptography and is the starting point for post-quantum migration planning - something very few tools provide.
What it detects, by domain
| Domain | Representative findings |
|---|---|
| Secure Code (SAST) | Command injection, SQL injection, hardcoded secrets, insecure deserialization, security misconfiguration, insecure OS command execution, information disclosure, path traversal, insecure / unspecified encoding |
| Dependencies (SCA & SBOM) | Vulnerable open-source dependencies, plus a full component inventory (SBOM) |
| Cryptography (CBOM) | Insecure or weak cryptography, plus a cryptographic asset inventory (CBOM) |
About LuraInsight
LuraInsight was founded on a simple conviction: every organization should be able to use AI to secure its code - without surrendering control of that code. We build security tooling for teams who treat confidentiality as a requirement, not a feature.
Where most modern security tooling assumes a connection to the cloud, we started from the opposite premise - the tool must run entirely inside your environment, on your own hardware. By training our own AI model and designing for fully offline operation, we give security and engineering teams the depth of modern AI review with the privacy guarantees their work demands.
It is an approach built for the teams the industry too often overlooks: regulated enterprises, government and defense, and any organization where a single line of leaked code is one too many. Our mission is to make rigorous, AI-assisted code security something every one of them can finally adopt - on their own terms, inside their own walls.
Everything you need for secure code review - sealed inside your network
Fully offline & air-gap ready
Runs entirely within your own infrastructure - no external API calls, no telemetry, no internet requirement. No connection is needed during a scan; unplug from the network and it still finds, explains, and fixes vulnerabilities.
Powered by our own trained AI model
Not a wrapper around a third-party cloud LLM. We trained a model specifically for security code review - no per-request fees, no vendor lock-in, and no risk of your code being logged or reused elsewhere.
Deep static analysis
Parses and understands your code structure - following data flow and tracing how untrusted input moves through your application - to surface real, exploitable issues rather than surface-level pattern matches.
Comprehensive vulnerability detection
Detects the weaknesses that matter most - injection flaws, broken authentication, insecure data handling, hardcoded secrets, and unsafe dependencies - aligned to standards such as the OWASP Top 10 and CWE.
AI-powered context & explanations
Every finding comes with a plain-language explanation: what the vulnerability is, why it is risky in your context, and what an attacker could do with it - turning findings into a learning opportunity for developers.
Actionable remediation guidance
Goes beyond flagging problems - it suggests concrete, code-level fixes tailored to the surrounding code, so developers resolve issues quickly and confidently.
Smarter prioritization, fewer false positives
By combining static analysis with AI reasoning, LuraInsight reduces scanner noise and ranks findings by real-world severity, so your team focuses on what truly matters first.
Multi-language support
Reviews code across the languages and frameworks your teams actually use, with coverage expanding over time.
Developer-friendly workflow
Run scans from the command line or review findings in a clean interface - LuraInsight fits the way your team already works. Deeper CI/CD automation is on the roadmap.
Clear reporting
Readable reports for developers, security leads, and auditors - with severity breakdowns, file-level detail, and remediation status - supporting both day-to-day fixes and compliance evidence.
From deployment to fixed code in four steps
Deploy in your environment
Install on-premises, on a workstation, or in a fully air-gapped network - no cloud account and no internet connection required.
Point it at your code
Connect a local repository or folder. Your source code is read and analyzed in place and never leaves the machine.
AI analysis runs locally
Our security-trained AI model and static-analysis engine trace untrusted input to surface real, exploitable vulnerabilities.
Review findings & fix
Get prioritized findings with clear explanations and code-level fixes, then re-scan to confirm each issue is resolved.
Why offline + our own model changes everything
Data sovereignty
Your source code is analyzed where it lives and never transmitted to a third party. You retain complete control and a clean audit trail.
No third-party AI exposure
Because LuraInsight uses our own trained model rather than an external cloud LLM, your code is never sent to, logged by, or used to train another company's systems.
Works where others can't
Air-gapped labs, classified networks, and high-security data centers can finally adopt AI-assisted security review - with no internet dependency.
Predictable cost
No metered per-request charges to an external AI provider. The model runs on your hardware, so usage scales without surprise API bills.
Supported languages & frameworks
LuraInsight reviews code across the languages and frameworks your teams actually use.
Built for organizations that cannot compromise on confidentiality
No data egress
Code and scan results stay inside your environment, by architecture.
Air-gap compatible
Operates with no internet connectivity whatsoever.
Supports your compliance posture
Helps satisfy data-residency and confidentiality requirements common to regulated industries.
Self-hosted control
You own the deployment, the data, and the access controls.
Supply-chain & crypto transparency
Built-in SBOM and CBOM generation give you a clear inventory of your components and cryptography - supporting emerging software supply-chain requirements and post-quantum cryptography readiness.
Deploy your way - run scans how you like
Deployment options
- On-premises server or VM within your network
- Developer workstation / local install
- Fully air-gapped / classified network
Ways to run a scan
- Command-line interface (CLI) for scripted and manual scans
- Web dashboard for reviewing and triaging findings
- CI/CD pipeline integration (coming soon)
Shift security left - without shifting your code to the cloud
In an upcoming release, LuraInsight will plug directly into your CI/CD pipeline so every commit, pull request, and build is automatically scanned. It keeps the promise that defines LuraInsight: the integration runs on your own pipeline and runners, so your code still never leaves your environment - including in air-gapped pipelines.
- Automatic scans on commit, pull request, or merge
- Build gates that fail when issues exceed a severity threshold
- Inline pull-request annotations where developers code
- Baseline and diff scanning - only new issues from a change
- Self-hosted and air-gapped runner support
- Machine-readable reports for dashboards and audit evidence
Be the first to automate secure code review in your pipeline. We'll let you know the moment CI/CD integration is ready.
Use cases & who it's for
Regulated enterprises
Meet strict confidentiality and data-residency rules while still adopting AI-assisted security review.
Government & defense
Run advanced code analysis inside air-gapped and classified environments with no internet dependency.
Financial services & healthcare
Protect sensitive systems and IP while reducing vulnerabilities before release.
Product & engineering teams
Catch security issues early in development with clear, developer-friendly guidance.
Security & AppSec teams
Scale secure code review across repositories without shipping code to third parties.
What your team gains
Ship more secure code
Catch vulnerabilities before they reach production.
Protect your IP
Your source code never leaves your control.
Upskill developers
Clear explanations turn every finding into a teaching moment.
Reduce noise
AI-assisted prioritization means less time chasing false positives.
Adopt AI safely
The benefits of AI security review without the cloud-exposure risk.
Control costs
No metered external AI fees - the model runs on your hardware.
How LuraInsight compares
Most tools cover only one or two of these domains. LuraInsight's position is breadth - SAST, SCA, SBOM, and CBOM - combined with fully offline operation and its own trained AI model.
| Capability | LuraInsight | Traditional SAST tools | Cloud AppSec suites | Generic AI assistants |
|---|---|---|---|---|
| Static code analysis (SAST) | Yes | Yes | Yes | Limited |
| Dependency scanning (SCA) | Yes | Add-on / varies | Yes | No |
| SBOM generation | Yes | Sometimes | Often | No |
| CBOM (cryptography inventory) | Yes | Rare | Rare | No |
| AI explanations & fixes | Yes | Varies | Varies | Yes |
| Fully offline / air-gapped | Yes | Varies | Usually no | No |
| Code stays in your network | Yes | Varies | Usually no | Usually no |
| Own trained AI model | Yes | N/A | Varies | Third-party cloud |
| No external AI fees | Yes | Yes | No | No |
Choose the edition that fits your team
Team
Small teams getting started
- Core SAST scanning
- Command-line interface
- Standard support
Business
Growing engineering orgs
- Everything in Team
- CI/CD integration (on release)
- Web dashboard
- Priority support
Enterprise
Regulated & air-gapped orgs
- Everything in Business
- Air-gap deployment
- Advanced controls
- Dedicated support
Frequently asked questions
Does any of my code leave my environment?
Do I need an internet connection to run a scan?
Can it run in an air-gapped network?
What AI model does it use?
Which languages does it support?
Is LuraInsight only a SAST tool?
Does it help with post-quantum cryptography readiness?
How is it different from a traditional SAST scanner?
How do I deploy it?
Bring AI-powered secure code review inside your walls.
See how LuraInsight finds and fixes vulnerabilities - with your code never leaving your network.