technology
Safety & Security
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Continuous Security for a Fast-Moving SaaS Startup

A Series-B SaaS startup ships product updates multiple times per week. Their engineering team of 40 developers deploys microservices across AWS ECS, but they have only one part-time security engineer. Manual penetration tests are performed once a quarter by an external vendor, costing $15,000-$25,000 per engagement, and the reports arrive weeks after the code has already changed.

Runs onVedha

testing frequency increases from quarterly to weekly, closing: 90 daystesting frequency increases from quarterly to weekly, closing
cost per test drops: $20,000cost per test drops

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

New API endpoints and frontend features are deployed faster than manual pentests can cover them.
The quarterly pentest cycle leaves a 3-month blind spot where new vulnerabilities go undetected.
The security engineer spends most of their time on compliance paperwork, not hands-on testing.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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On-Demand Flow Execution

After each major sprint, the security engineer kicks off a VEDHA Flow targeting the staging environment. They enter the target scope (e.g.https://staging.app.example.com) and a goal like \

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

Testing frequency increases from quarterly to weekly, closing the blind-spot window from 90 days to 7 days.
Cost per test drops from ~$20,000 to the cost of LLM API tokens and compute (typically under $50 per run).
A critical IDOR vulnerability in the billing API is caught within hours of deployment to staging, before it reaches production.

Capabilities this relies on

workflow orchestration
generative design
root cause reasoning
risk scoring
evidence audit trail
human approval
in boundary deployment