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Ship with AI without handing it the keys to production.

Govern coding assistants and agents with repository, production, and cloud access — and keep customer data and secrets out of AI context.

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The landscape

How AI is changing risk in saas

Engineering teams use AI coding assistants and agents that read repositories, run commands, open pull requests, and sometimes reach production or cloud consoles. Customer-facing features increasingly call model APIs with customer data. Enterprise customers and SOC 2 auditors are starting to ask how AI access is controlled.

What to do first

  • Sandbox by default

    Run AI code execution without production credentials; elevate per task with short-lived, least-privilege access.

  • Protect branches

    Require human review for AI-authored pull requests and prevent AI identities from changing branch protections.

  • Scan for secrets

    Enable secret scanning and rotate anything an AI system could have read.

Free readiness check

AI readiness check for saas

A short, industry-specific check. You get the gaps your answers reveal, why each matters, and what to do next — not a score. Runs in your browser; no signup.

Six questions about AI coding agents, production access, and customer data sent to model providers. Answer for how things work today. Your answers stay in your browser; FlashTower records only anonymous usage events.

1.Are AI coding assistants and agents kept away from production and cloud credentials by default?
2.Do AI-authored code changes go through the same review and branch protections as human changes?
3.Is secret scanning enabled, and are secrets kept out of prompts and AI context?
4.Is customer data sent to model providers covered by a DPA and no-training terms?
5.Do you keep an inventory of AI tools, agents, and model APIs used across engineering and product?
6.Are agents that read untrusted content (issues, emails, web pages) blocked from consequential actions without approval?

Readiness summary

0 of 6 answered

Your summary lists each gap your answers reveal, why it matters in saas & technology, what to do next, and the public frameworks it maps to. It is not a score.

Based only on your answers, using fixed rules. Frameworks are listed for orientation; this summary does not determine whether you meet any law or standard and is not legal advice.

FlashTower findings are informational. No security system detects or prevents every threat, and FlashTower does not certify compliance or provide legal advice.

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Common exposures

Where AI risk concentrates

Agents with production reach

An AI agent that can execute commands with production or cloud credentials can delete data or expose secrets from a single bad instruction — including one injected through an issue, a file, or a web page.

Secrets in AI context

API keys in repositories, tickets, and prompts can be revealed or misused by models that read them.

Unreviewed AI-authored code

AI-generated changes pushed without review can introduce vulnerabilities or modify CI/CD pipelines.

Customer data sent to model APIs

Product features that call model APIs need DPAs, no-training commitments, and retention controls that match your customer contracts.

FlashTower rules

Rules most relevant to saas

These are real rules from the FlashTower Risk Engine. Each fires only when your answers meet its stated condition.

  • FT-CRD-001 · Credentials & Secrets

    Credentials embedded in code, configuration, or prompts

    The AI system authenticates with a key embedded in code, configuration files, or prompts.

    Mapped to: NIST CSF 2.0 PR.AA-01 · ISO 27001 A.5.17 · SOC 2 TSC CC6.1 · OWASP LLM Top 10 LLM02

    Critical

  • FT-EXE-001 · Code Execution

    AI can execute code against production or cloud infrastructure without approval

    The AI system can execute code and reach production systems or cloud administration, without per-action human approval.

    Mapped to: OWASP LLM Top 10 LLM06 · OWASP LLM Top 10 LLM05 · NIST CSF 2.0 PR.AA-05 · ISO 27001 A.8.2

    Critical

  • FT-3PI-001 · Third-Party Integrations

    Prompt-injection exposure: web access combined with sensitive data or actions

    The AI system can browse the web or call external URLs and also has sensitive data or high-impact capabilities.

    Mapped to: OWASP LLM Top 10 LLM01 · OWASP LLM Top 10 LLM02 · NIST AI RMF MEASURE 2.7

    High

  • FT-CDE-001 · Agent Risk

    AI can push code without review

    The AI system can push code or open changes to repositories without per-action human approval.

    Mapped to: OWASP LLM Top 10 LLM06 · ISO 27001 A.8.4 · SOC 2 TSC CC8.1

    High

  • FT-CRD-005 · Credentials & Secrets

    AI system can read passwords, keys, or secrets

    The AI system has access to credentials or secrets as data.

    Mapped to: OWASP LLM Top 10 LLM02 · ISO 27001 A.5.17 · NIST CSF 2.0 PR.DS-01

    High

  • FT-DAT-013 · Vendor Risk

    Sensitive data processed without a data processing agreement

    A vendor-hosted, non-consumer AI system accesses sensitive data and no DPA is recorded.

    Mapped to: NIST CSF 2.0 GV.SC-05 · ISO 27001 A.5.20 · SOC 2 TSC CC9.2

    Medium

This page provides general information, not legal advice. FlashTower does not certify compliance with HIPAA, GLBA, NYDFS Part 500, professional-conduct rules, SOC 2, FedRAMP, or any other law or standard; findings and gaps are mapped to frameworks for orientation only. Consult qualified counsel and your compliance advisors about your obligations.

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