Securing AI is a first-order problem.
Every AI-built app ships with hardcoded secrets, missing auth, and uncontrolled egress. Harden scans, fixes, and enforces — automatically, inside your cloud.
Built by engineers from
The gap between prototype and production is where security falls apart.
Bridging this gap manually costs 2 to 4 engineer-weeks per app. At 50 apps a year, that is $500K to $1M of platform engineering time on repetitive security scaffolding.
The raw AI prototype
- No vulnerability scanning
- No authentication
- Hardcoded API keys
- Unrestricted outbound traffic
- Unlimited, uncapped AI spend
- No audit trail
- No compliance evidence
What ships with Harden
- App-sec testing and patching
- SSO with OIDC, RBAC
- Secrets manager (Vault, AWS SM)
- Egress allowlists, DLP
- Cost caps with enforcement
- Structured logging, audit trails
- SOC 2 / ISO 27001 / NIST mapping
Your AI app has more attack surface than you think
Hardcoded secrets, missing auth, unrestricted egress, prompt injection — every AI-built app ships with the same class of vulnerabilities. Harden finds them all and closes them before they reach production.
Build-time Security
SAST, SCA, and advanced AI scanning for deep taint analysis. Vulnerabilities auto-remediated on every PR. The app never reaches production with a known risk still open.
Runtime Security
AIF, egress controls, prompt injection guards, and secrets management enforced at the proxy layer. Works on every app regardless of framework.
Perimeter Control
BYOC-first. AI API cost caps and tamper-evident audit logs enforced at the proxy. Your data never leaves your cloud — no exceptions.
Scanners find issues. Harden auto-fixes them.
Traditional scanners output a list. Harden outputs a fixed, deployable, enterprise-ready app.
| Scanners (Wiz, Snyk, TruffleHog) | Harden | |
|---|---|---|
| When it runs | Batch scan, every 12 hours | In-flow, at PR time and at runtime |
| What it produces | A ticket queue. Engineers spend weeks remediating. | Auto-remediation applied. Engineer-weeks compressed to minutes. |
| Credential exposure | Detects the leaked key. You rotate with downstream impact. | The app never had the real key. Nothing to rotate. |
| AI-specific risks | Not covered. | Prompt injection, surrogate credentials, cost caps — all enforced. |
| Feedback loop | Every new app starts from zero. | Every fix updates enterprise policy. The next app starts already hardened. |
Average cost increase per breach when shadow AI is involved.
IBM Cost of a Data Breach Report, 2025
Of AI-breached orgs lacked AI access controls at the time of breach.
IBM, July 2025
Secrets leaked on GitHub in 2025. AI-assisted commits leak credentials at 2x the human baseline.
Help Net Security, April 2026
Of AI-breached orgs had no runtime controls on their AI applications at the time of their incident.
IBM, July 2025
From intake to hardened and live in minutes
Intake
Submit a repo, PR, container, or zip with owner, data class, and intended integrations. Risk score in 4 minutes.
Harden
SAST, SCA, and advanced AI scan and auto-fix pipeline. Every vulnerability auto-patched. Harden maps everything the app can touch, call, and send.
Review
One-page approval report with score, blocking issues, what it reaches, and required controls. It becomes the gate inside CI/CD.
Enforce
Runtime security, egress controls, least-privilege, prompt-injection guards, AI cost caps, and tamper-evident audit logs active from day one. Kill access to any app instantly.
Intake
Submit a repo, PR, container, or zip with owner, data class, and intended integrations. Risk score in 4 minutes.
Harden
SAST, SCA, and advanced AI scan and auto-fix pipeline. Every vulnerability auto-patched. Harden maps everything the app can touch, call, and send.
Review
One-page approval report with score, blocking issues, what it reaches, and required controls. It becomes the gate inside CI/CD.
Enforce
Runtime security, egress controls, least-privilege, prompt-injection guards, AI cost caps, and tamper-evident audit logs active from day one. Kill access to any app instantly.
Open-source apps your team uses. Already hardened.
Each result is reproducible. Run the approval engine against the public repo and verify.
Built by engineers from
Every one of these apps shipped to production. None lacked talent. They lacked security and governance.
Reported by
AXIOS · MAY 2026
"AI vibe-coding apps leak sensitive data"
380,000 corporate apps exposed. 5,000 leaking real data, including phishing sites impersonating Bank of America, FedEx, and McDonald's.
Read the report →Reported by
IBM · JULY 2025
"97% of AI-breached orgs lacked AI access controls"
Shadow AI added $670K average per breach. 63% had no governance policy at the time of their incident.
Read the report →"Saying no isn't a strategy that works anymore."
Our GTM teams are building AI apps faster than we can review them. Harden lets us channel that bottoms-up demand into a governed pipeline. Same velocity, with the security and audit trail my team needs to stand behind it.
Chief Trust Officer
AI-native B2B SaaS
"If you're in security and you're reactive, you're already late."
Harden is the first product I've seen that actually intervenes at the right point in the workflow. Before the leak, not after.
Director, IT Security
AI-native RevOps Solution
Frequently asked questions
Harden your AI apps
15 minutes. Live. We scan one of your AI-built apps and walk you through the risk report. No code shared, no commitment.