AI-built apps are everywhere. Governance isn't.

IT needs visibility, governance, and cost control without becoming the team that says no.

Built by engineers from

Google DeepMind
Amazon
Verkada
Microsoft
Oracle
Fleet Dashboard — Live

92%

Risk Score

reduced

47

Apps Hardened

this month

3 min

Scan Time

avg

AppVulnsStatus
Expense Tracker0Live
RevOps Agent0Live
Contract Lifecycle0Live
Recruiting Tracker0Live

Block or allow were IT's only two options till now

A sanctioned route to production that lets IT say yes, with the controls enforced, not assumed.

What breaks today

  • Blockengineering routes around IT. Shadow work grows and IT becomes the department of no.
  • Allowthe app ships ungoverned. IT owns the next breach, the runaway bill, and the failed audit.
  • Audityour inventory is stale by Tuesday.
  • Alertyour scanner cuts 35 tickets overnight. By morning they auto-close as false positives. Security spends the day validating noise instead of stopping the leak.
  • Complyevidence is a quarterly fire drill.

The third path

  • Discoverruntime enforcement on apps IT didn't sanction.
  • Governegress allowlists, surrogate credentials, identity at the proxy.
  • Audittamper-evident logs streamed to your SIEM.
  • RemediateHarden runs in-flow at PR time and at runtime, not on a 12-hour batch cycle. The app never had the real credential. There's nothing to rotate.
  • ComplySOC 2, ISO 27001, NIST, and HIPAA evidence on demand.

CIO's dilemma: block innovation or accept ungoverned risk

Shadow IT

Teams bypass IT, run tools on personal laptops and unmanaged cloud accounts.

Security incidents

Hardcoded API keys leak, unrestricted egress enables data exfiltration.

Runaway costs

A single prompt injection can generate 5-figure AI API bills overnight.

Compliance gaps

Auditors find ungoverned AI tools processing sensitive data with no audit trail.

Shadow AI is already in your stack.

200:1

projected non-human access tokens per human identity by end of 2026, up from 20:1 today.

CyberArk Identity Security Threat Landscape, 2024

40%

of global organizations will face security or compliance incidents from shadow AI by 2030.

Gartner, November 2025

69%

of cybersecurity leaders already suspect or have evidence that employees are using prohibited GenAI tools at work.

Gartner survey of 302 security leaders, 2025

$670K

average cost increase per breach when shadow AI is involved.

IBM Cost of a Data Breach Report, 2025

80%

of enterprise SaaS apps are used without IT approval.

BetterCloud, 2024

Every one of these numbers is bigger than your AI tooling budget. Every one is also avoidable.

Harden has the most advanced threat detection harness

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.

Governance

Tamper-evident logs for every action and every AI call. One-click compliance evidence mapped to SOC 2, ISO 27001, and NIST. Deployed inside your VPC.

Cost caps

AI API cost caps enforced at the proxy, not announced after the fact. Per-app and per-user budgets. No surprise bills from a prompt injection.

No code changes. Works on apps you didn't build. Deployed inside your VPC.

Your scanner finds the leak. Harden ensures the leak never happened.

When it runs

Scanners

Batch scan, every 12 hours

Harden

In-flow, at PR time and at runtime

What it produces

Scanners

Tickets to validate

Harden

Remediations, applied automatically

When a credential leaks

Scanners

Detects it; you rotate (with downstream impact)

Harden

The app never had the real key

From shadow to hardened and live in minutes

01

Intake

Submit any shadow AI app: source repo or running container. We analyze framework, secrets, dependencies, and egress patterns. Risk score in 4 minutes.

02

Harden

SAST, SCA, and advanced AI scan and auto-fix pipeline. Every risk auto-patched. Harden maps everything the app can touch, call, and send.

03

Review

One-page approval report: score, blocking issues, what it reaches, and required controls. It becomes the gate inside CI/CD.

04

Enforce

Runtime security, egress controls, 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.

Public hardening reports available on request. We'll run the same scan on one of your apps in 15 minutes, live.

Built by engineers from

Google DeepMind
Amazon
Google Cloud
CrowdStrike
Oracle
Microsoft
Meta
Verkada
Sony
Johns Hopkins
Wharton
Mila
Google DeepMind
Amazon
Google Cloud
CrowdStrike
Oracle
Microsoft
Meta
Verkada
Sony
Johns Hopkins
Wharton
Mila

What customers say

"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.

CT

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.

DI

Director, IT Security

AI-native RevOps Solution

Reported by

GARTNER

"To address these risks, CIOs should define clear enterprise-wide policies for AI tool usage, conduct regular audits for shadow AI activity, and incorporate GenAI risk evaluation into their SaaS assessment processes."

Arun Chandrasekaran

Distinguished VP Analyst, Gartner

Source

Frequently asked questions.

Audit your AI apps.

Every one of these apps shipped to production. None lacked talent. They lacked security and governance.

15 minutes. Live. We scan one of your AI-built apps and walk you through the risk report. No code shared, no commitment.