Security is engineered in, not audited on.
Every FlowMo agent is built under one security practice, led by Sarfaraz Thakur, VP AI Security Engineer. This page sets out how we protect your data, your systems and your customers, so your security team can start the review before the first call.
Your data stays yours.
Your data does not leave your boundary.
Agents are deployed in your VPC or on-prem by default. Retrieval, reasoning and logging happen inside your environment.
Hosted models only on zero retention, under your keys.
Where a hosted model is the right tool, it runs on a zero-retention tier with a key your organisation holds and can revoke.
Your data never trains a model.
Not ours, not a provider's. Fine-tuned weights built for you belong to you and are used only for you.
The threats we design against.
AI agents fail in ways ordinary software does not. Every agent is threat-modelled for these attacks and red-teamed against them before it reaches production.
| Threat | What it looks like | How we defend |
|---|---|---|
| Prompt injection | Hidden instructions in a document, email or web page the agent reads. | Retrieved content is handled as data, never as instructions. Tested in red-teaming before every release. |
| Jailbreaks | Attempts to talk the agent out of its policy. | Policy checks on inputs and outputs, and adversarial test suites run on every release. |
| Data exfiltration | Coaxing the agent to reveal records the requester should not see. | Retrieval scoped by your permissions, outputs checked before they leave, every access logged. |
| Tool misuse | Steering the agent into an action it should not take. | Every tool scoped and allow-listed; consequential actions wait for a named person to approve. |
Controls on every agent in production.
Inside your perimeter
Agents run in your VPC or on-prem. Your data stays inside your boundary.
Zero retention, your keys
Hosted models only on zero-retention tiers, under keys you hold. Client data is never used for training.
Red-teamed before release
Prompt injection, jailbreak, data exfiltration and tool-misuse testing on every agent, every release.
Human approval gates
Consequential actions wait for a named person to approve them. The agent proposes; your people decide.
A complete audit trail
Every retrieval, decision and action is logged, attributable and reviewable by your risk and audit teams.
Scoped permissions and rollback
Agents reach only the systems and records they need, with observability on every run and rollback built in.
Security at every stage of the engagement.
Diagnose
Weeks 1–2
Data map and threat model for the first agent.
Prototype
Weeks 3–4
Runs isolated from production, on data you approve.
Integrate
Weeks 5–7
Red-team pass before release; scoped permissions go live.
Operate
Week 8 onward
Re-tested on every release; audit trail reviewed with your team.
Talk to the people who secure it.
Your security team can review architecture and controls directly with our security engineering team.
Sarfaraz Thakur
VP AI Security Engineer
Leads AI security engineering across every FlowMo agent: threat modelling, adversarial red-teaming, defences against prompt injection and data exfiltration, and the controls that keep client data inside the client's perimeter.
Reporting a vulnerability
If you believe you have found a security issue in anything we build or operate, email info@flowmolabs.com with “Security” in the subject line.
Please include enough detail for us to reproduce it, and give us reasonable time to fix it before disclosing it publicly.
Bring your security team to the briefing.
We reply to every enterprise enquiry within one business day. Bring your security team; we will walk them through the architecture and every control.