Symbiotic for healthcare
AI coding that never sees a patient record.
Symbiotic Code strips PHI and credentials from prompts before any model sees them, runs the agent under your access policies, and deploys inside your perimeter when it has to. Your developers ship faster; your privacy officer sleeps better.
Free for teams up to 10 members
What a healthcare company gets from a harness that secures code at the source
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Saved per developer every month by removing all security friction
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Average AI cost reduction thanks to our auto-routing system
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For a Claude Code user to be productive on Symbiotic Code
01
PHI stays out of prompts
Patient identifiers, credentials, and confidential data are removed before any request reaches a model. HIPAA Privacy Rule.
02
Zero data retention
No training on your code, by Symbiotic or any model provider. Cloud LLM calls are processed, then discarded.
03
Deploy inside your perimeter
Self-hosted mode keeps code, prompts, and findings on your infrastructure. EU and US hosting come standard for the cloud option.
04
Access and audit controls on the agent
Sandboxed runtime, network and command policies, and a trace of every action. HIPAA Security Rule, SOC 2.
05
Secure by design, and provable
Policies enforced at generation on every AI-assisted change, with the evidence to show it. HIPAA, ISO 27001.
06
Vendor risk contained
Every MCP server and plugin inventoried, allow-listed, and scanned before use. No new data path opens without your say.
Your code stays yours
Teams that handle patient data don't hand their codebase to someone else's cloud. You choose what leaves your environment, including nothing at all.
In privacy mode, no code is stored anywhere. Detection runs on your side, prompts are redacted before any model call, and findings contain no code snippets. Every cloud call runs under zero data retention.
The agent your developers want, with the controls you need
Plans, diffs, subagents, MCP servers, and your existing CLAUDE.md: all of it works the way your team already works. The difference is what happens before the code reaches you
Patient data never in the loop
PHI and credentials are detected and removed before a prompt leaves your environment.
Secure code on the first pass
Your policies apply before the agent writes, so vulnerabilities don't land in the backlog.
An agent under access control
Sandboxed, with network and command policies you define and destructive commands blocked by default.
Evidence when the auditor asks
Every AI-assisted change carries its trail, streamed to your SIEM.
Access the models you love, keep your costs down with turn-by-turn smart routing, and bring your own LLM for privacy
Questions & answers
Will my code be used to train AI models?
No. Your code is never used for training, by Symbiotic or by any model provider. All cloud LLM calls run through our own tenant under a Zero Data Retention policy.
Can Symbiotic Code access my filesystem or source code without permission?
No. Security scanners only read the files the agent is working on: typically modified files, at most the current repository. The agent itself runs in a sandbox with configurable access policies and destructive commands are blocked by default.
Doesn't the agent certify its own work?
No single system grades its own homework. The agent that writes code and the system that verifies it are separate by design: distinct agentic roles, a deterministic scanning layer with no AI in it, and different reasoning processes for generation and review.
Can we stay hosted in the EU?
Yes. EU hosting comes standard.
How are AI requests routed, and who has access to them?
Through our own Amazon Bedrock tenant with Zero Data Retention. Model providers process and discard; they store nothing. In privacy mode, no code is stored anywhere.
Where do LLM executions actually run?
Your choice of three modes. Classic: through our Bedrock tenant. Privacy: same flow, with no code stored anywhere. Self-hosted: your own models on your own infrastructure, and none of your code leaves your perimeter.
PRIVACY
Will my code be used to train AI models?
No. Your code is never used for training, by Symbiotic or by any model provider. All cloud LLM calls run through our own tenant under a Zero Data Retention policy.
Can Symbiotic Code access my filesystem or source code without permission?
No. Security scanners only read the files the agent is working on: typically modified files, at most the current repository. The agent itself runs in a sandbox with configurable access policies and destructive commands are blocked by default.
Doesn't the agent certify its own work?
No single system grades its own homework. The agent that writes code and the system that verifies it are separate by design: distinct agentic roles, a deterministic scanning layer with no AI in it, and different reasoning processes for generation and review.
Can we stay hosted in the EU?
Yes. EU hosting comes standard.
How are AI requests routed, and who has access to them?
Through our own Amazon Bedrock tenant with Zero Data Retention. Model providers process and discard; they store nothing. In privacy mode, no code is stored anywhere.
Where do LLM executions actually run?
Your choice of three modes. Classic: through our Bedrock tenant. Privacy: same flow, with no code stored anywhere. Self-hosted: your own models on your own infrastructure, and none of your code leaves your perimeter.