Kalpita CodeGuard · Autonomous DevSecOps Product
What Is Kalpita CodeGuard, the Autonomous DevSecOps Platform?
It doesn't just find vulnerabilities — it writes the fix and opens a reviewed pull request. AI proposes; humans approve.
CodeGuard detects, fixes and opens a human-approved pull request for code vulnerabilities in under 3 minutes. Built AI-first by a Kalpita team — 70%+ AI-enabled engineering, part of a growing portfolio of AI products and solutions.
Watch CodeGuard catch a flaw, write the patch and open a reviewed PR — in under three minutes.
The problem
Finding Flaws Is Easy. Fixing Them Is Slow.
Manual review misses around 30% of flaws, a single PR review can take 45 minutes, and critical vulnerabilities linger for 60–90 days.
Industry data puts the average breach at $4.45M and finds one in five pull requests introduces a new flaw — while fixing a bug in production costs roughly 30× more than fixing it at the keyboard. Legacy scanners only make the list of problems longer.
What it does
A Remediation Platform, Installed as a GitHub App
CodeGuard scans every commit across any language, uses Azure OpenAI to analyse root cause and generate the exact secure patch, then opens a pull request with the fix and a plain-English explanation.
A developer reviews and merges — no code ships unreviewed. The result is continuous, real-time security that never leaves the developer's workflow.
Capabilities
Key Capabilities
Secure patches, not passive alerts — with the governance a CISO has to sign.
AI Fix Generation
Secure patches, not passive alerts, generated with full application context so the fix matches the codebase it lands in.
Multi-Language SAST
Scans and patches across tech stacks on every commit, so a polyglot portfolio gets one consistent standard.
Automated PR Workflow
Zero manual steps from detection to a reviewable fix branch — async via webhooks, so the build is never blocked.
Plain-English Explainers
Every CVE explained in the pull request, so developers learn while they merge instead of context-switching to a scanner.
Developer Leaderboard
+100 points per merged fix turns security into a teammate rather than an audit that arrives at the end of the quarter.
Real-Time Risk Dashboard
Live vulnerability trends, severity distribution and organisational risk — not spreadsheets and periodic reports.
Compliance Scoring & Report Import
Continuous compliance with existing scanner reports folded in, so nothing already paid for is thrown away.
Online Ephemeral Scanner
On-demand scans with no permanent code retention — for audits, vendor reviews and code you cannot host.
Enterprise Reach
IDE plugins, Azure DevOps and GitLab, Jira/Slack alerting, IaC, container and SBOM scanning, secret scanning, multi-tenant SSO (Azure AD, Okta), RBAC, Compliance Autopilot, BYOK/BYOM.
How It Works
Commit to reviewed fix PR in under three minutes, without gating the pipeline.
A developer pushes code; a native GitHub webhook triggers a real-time scan.
CodeGuard identifies the flaw, maps it to known CVEs and grades severity.
Azure OpenAI generates the exact secure patch from full application context.
It opens a fix branch and a pull request carrying the patch and a plain-English explanation.
The developer reviews the diff, confirms business logic and approves the merge.
The organisation's risk score drops and the developer earns +100 points — all logged to a continuous audit trail.
Why Kalpita CodeGuard
Against scanners that only detect: CodeGuard closes the loop by writing and proposing the fix.
| Capability | Kalpita CodeGuard | Legacy SAST Scanners |
|---|---|---|
| Output | Writes the secure fix as a reviewed PR | Flags the problem; you write the fix |
| Speed | Commit → fix PR in under 3 minutes | Nightly or weekly batch scans |
| Pipeline impact | Async via webhooks — never blocks the build | Often blocks or gates the pipeline |
| Developer experience | Plain-English explainers plus a leaderboard | CVE lists, context-switching, friction |
| Visibility | Live risk dashboard and continuous audit trail | Spreadsheets and periodic reports |
| Control | AI proposes; humans approve every merge | Manual triage and remediation |
Who it's for
Compliance Without Slowing Delivery
- CISOs who need continuous audit trails and compliance without slowing delivery
- DevSecOps and platform teams protecting multi-repo, multi-team portfolios
- Engineering leaders reclaiming senior review hours from manual audits
- Regulated industries — financial services, healthcare, SaaS — where compliance and speed collide
Secure by Design
CodeGuard runs on a .NET 10 Web API with Entity Framework Core orchestrating Git workflows, an Angular 19 dashboard and SQL Server holding a continuous audit trail. Azure OpenAI powers root-cause analysis and patch generation; JWT and SHA-256 secure access and data integrity; and a configurable policy engine tunes rules to each organisation's risk appetite.
- .NET 10 Web API
- Entity Framework Core
- Angular 19
- SQL Server
- Azure OpenAI
- JWT + SHA-256
- Configurable policy engine
Proof, not promises
Proven Outcomes
90%Faster Remediation
60–90 days → 3–7
Critical vulnerabilities stop lingering, because the fix arrives with the finding instead of weeks after it.
91%Less Review Time
45 minutes → 4
Security review on a pull request stops being a context switch and becomes a diff confirmation.
70%Senior Hours Reclaimed
Manual audit time
Engineering leaders get senior review capacity back for design work rather than manual audits.
~$2.4M/ Year
500-developer org
Around $500 saved per vulnerability, turning security spend from a detection cost into measurable saved hours.
Under 3Minutes
Commit → reviewed PR
Real-time protection that runs async through webhooks, so CI/CD is never blocked or gated.
Frequently Asked Questions
Make Security Invisible
Book a 30-minute demo and see autonomous remediation run on your pipeline — AI proposes, your team approves.
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