5 best sandbox platforms for regulated industries (healthcare, finance, government)

Your agent product passed the customer's technical evaluation. Then their security team sent a vendor questionnaire about code execution, tenant isolation, and the Business Associate Agreement (BAA). If your sandbox provider can't answer, the deal stalls in procurement.

For teams selling into healthcare, finance, or government, the sandbox layer sits inside the customer's audit boundary. For regulated agent products that execute untrusted or AI-generated code, the execution platform needs attestations, strong tenant isolation, and controlled network egress. Without those controls, the customer's auditors flag it.

This roundup evaluates five sandbox platforms on criteria regulated buyers apply. The criteria are certifications, isolation model, deployment options, and pricing.

TL;DR:

• Compliance gates the deal: Healthcare, finance, and government buyers require SOC 2 Type II, ISO 27001, and HIPAA BAAs before sandbox vendors reach production approval.
• Blaxel covers the managed checklist: SOC 2 Type II, ISO 27001, HIPAA BAA, Zero Data Retention, and microVM isolation ship as one managed platform.
• BYOC for sovereignty: Daytona and E2B offer customer-cloud deployment when buyers require workloads inside their own VPC.
• No FedRAMP in category: None of the purpose-built sandbox platforms listed here holds its own FedRAMP authorization. Government buyers should plan around authorized cloud primitives.
• Isolation model matters for auditors: MicroVMs provide a hardware-enforced tenant boundary that maps cleanly to regulated isolation reviews. Shared-kernel containers create a weaker boundary for untrusted code.

How we chose: selection criteria for regulated buyers

Six criteria separate platforms that survive a compliance review from platforms that don't:

• Compliance attestations: Healthcare buyers often require a Health Insurance Portability and Accountability Act (HIPAA) BAA. Financial-services vendor reviews demand SOC 2 Type II plus ISO 27001. Your security team should verify scope. The attestation must cover the sandbox service, not only management systems.
• Isolation model: For AI-generated or untrusted code, hypervisor-backed isolation gives auditors a familiar boundary. MicroVMs give each sandbox its own kernel. That boundary maps more cleanly to regulated tenant-isolation reviews. Shared-kernel containers create a weaker boundary for untrusted code.
• Network egress control: Government and financial-services reviews often require default-deny egress and explicit allowlists. Healthcare buyers also ask for tight outbound controls. Finance teams often expect predictable egress IPs. They also expect outbound connection logs.
• Data handling: Healthcare BAAs often include PHI return or destruction duties at contract termination. Protected health information (PHI) needs clear deletion rules. Zero Data Retention (ZDR) keeps sandbox state in volatile memory only. Regulated buyers increasingly request ZDR as a contractual control.
• Deployment sovereignty: Bring Your Own Cloud (BYOC) or VPC deployment keeps execution inside the customer's cloud account. Department of Defense (DoD) Impact Level 5 reviews can require stronger tenant separation. Customer-cloud placement also simplifies internal audit ownership.
• Standby economics: Agent workloads are bursty. Idle billing and state survival affect cost and audit predictability. Buyers should compare active compute, storage, standby behavior, and monthly minimums together.

One gap applies across the category. None of the purpose-built sandbox platforms reviewed here lists its own Federal Risk and Authorization Management Program (FedRAMP) authorization. Government buyers needing FedRAMP Moderate or High usually build on authorized cloud environments such as AWS GovCloud.

1. Blaxel

Blaxel is the infrastructure for autonomous agents. It runs the execution layer for AI agents that run code in production. Blaxel's security program includes SOC 2 Type II and ISO 27001. A HIPAA BAA is available as an add-on. That stack pairs with microVM isolation and perpetual standby.

Key features

Blaxel's regulated-industry fit comes from isolation, state, data handling, and networking controls:

• MicroVM isolation: Each sandbox runs in its own microVM with its own kernel. AI-generated code can't reach the host or neighboring tenants.
• Perpetual standby: Sandboxes hold complete filesystem and memory state indefinitely with zero compute charge. They resume in under 25ms.
• Zero Data Retention: The sandbox filesystem is RAM-based. Deleting a sandbox erases data instantly. Zero Data Retention is guaranteed for sandboxes never placed in standby.
• Managed networking: Custom domains and dedicated egress gateways in private preview reduce custom networking work. Proxy secrets injection also helps teams avoid bespoke routing logic.
• Data residency controls: Region policies and private networking support enterprise residency requirements. VPC interconnect keeps traffic off the public internet.

These controls address the questions security teams ask before approving agent code execution.

Pros

• Blaxel's main advantage is that compliance, isolation, and standby behavior come from one managed platform. SOC 2 Type II, ISO 27001, HIPAA BAA support, and native ZDR cover common regulated-buyer checklists. MicroVMs provide a kernel boundary for untrusted, AI-generated code.
• The standby model also changes production economics. Sandboxes avoid idle compute charges between agent sessions while preserving state. Managed egress and secrets controls reduce work regulated buyers otherwise build themselves. Those strengths make Blaxel a managed option for teams facing enterprise procurement.

Cons

• Blaxel's main tradeoff is control-plane ownership, not the sandbox isolation model. Blaxel offers Bring Your Own Metal (BYOM) and VPC interconnect. It doesn't offer a fully air-gapped, run-it-yourself control plane.
• Language coverage is another planning point. First-class SDKs target Python, TypeScript SDK, and Go. Other languages integrate over the REST API.

Pricing

Blaxel prices usage and add-ons separately:

• Free: Up to $200 in free credits plus usage costs.
• Pre-configured sandbox tiers and usage-based pricing: See Blaxel's pricing page for the most up-to-date pricing information.
• Available add-ons: Email support, live Slack support, and HIPAA compliance are available.

Blaxel pricing depends on usage and selected add-ons.

Who is Blaxel best for?

Blaxel fits teams shipping coding agents, data analysis agents, or PR review agents. Attestations plus microVM isolation shorten the security review. Buyers requiring FedRAMP should plan around authorized cloud primitives. Buyers needing a fully self-hosted control plane should look at BYOC-first options below.

2. Modal

Modal platform is a serverless platform for Python workloads. It is best known for GPU execution. Sandboxes are its untrusted-code product. Modal publishes SOC 2 Type II and HIPAA support in public materials. It offers a HIPAA BAA on its Enterprise plan. Isolation uses gVisor, a userspace kernel that intercepts syscalls, rather than microVMs.

Key features

Modal's sandbox controls focus on Python execution, regional placement, and outbound-network policy:

• gVisor isolation: gVisor sandbox isolation intercepts syscalls before they reach the host kernel.
• EU region: Teams can select an EU region by setting the region to eu.
• Egress controls: Outbound CIDR allowlists are available. Modal also offers a beta domain allowlist for TLS traffic.
• Static IPs: Static IP proxy includes one proxy on Team and three on Enterprise. Audit logs sit on Enterprise.
• Snapshot retention: Memory snapshots stay for a maximum of 7 days. Filesystem snapshots default to 30 days.

Modal's controls fit teams already building around its Python execution model.

Pros

• Modal's strongest fit is regulated work that already sits near Python data or inference pipelines. It has completed SOC 2 Type II. HIPAA BAA support is available at the Enterprise tier. EU region selection helps satisfy data-residency clauses in European contracts.
• Modal also has public references in regulated sectors. Those references include fintech and document-processing workloads for finance and healthcare. That buyer familiarity helps when the sandbox requirement is part of a broader Modal deployment.

Cons

• Modal's cost model needs careful normalization before procurement. Sandboxes are billed at 3× standard Function rates. Region selection adds a 1.5× to 1.75× multiplier on headline prices.
• Portability is the other planning issue. Modal's decorator-based SDK creates platform-specific serving code. Teams should plan rewrite work before moving platforms. Those tradeoffs matter most when teams compare Modal's sandbox costs against agent-specific infrastructure.

Pricing

Rates as of July 2026:

• Starter: Starter costs $0 plus compute, with $30/month in included credits.
• Team: Team costs $250/month plus compute.
• Enterprise: Enterprise pricing is custom. HIPAA BAA and audit logs sit here.
• Sandbox compute: Modal pricing lists $0.00003942/core/second CPU and $0.00000672/GiB/second memory.

At 1 vCPU and 2 GB RAM, the listed sandbox rate equals about $0.19/hour. Regional multipliers apply before procurement teams compare final costs.

Who is Modal best for?

Modal fits teams already running Python data or inference pipelines on Modal. It also fits teams with EU residency requirements. Confirm BAA scope during procurement. Modal excludes Volumes (v1) and Memory Snapshots.

3. Daytona

Daytona sandboxes now positions itself around AI agent sandboxes after starting with developer environments. Its compliance program is mid-journey. SOC 2 Type I is complete. Daytona's public trust materials reference HIPAA, SOC 2, and ISO/IEC 27001. Public materials don't confirm SOC 2 Type II or ISO 27001 completion. A HIPAA BAA is available for qualifying customers. Audit teams should verify the current isolation model in writing.

Key features

Daytona's regulated-industry story centers on customer-controlled placement and lifecycle controls:

• BYOC deployment: BYOC deployment uses Terraform on AWS EC2 and Helm on Kubernetes.
• VPN connectivity: Daytona supports VPN connectivity through Tailscale, OpenVPN, or Netbird.
• Customer-VPC example: Athena Intelligence runs Daytona inside client VPCs for regulated-industry deployments.
• Lifecycle billing: Stopped and paused sandboxes bill disk only. Archived sandboxes bill nothing.
• Expanded runtimes: Daytona supports Windows VM sandboxes.

Daytona's strongest regulated-industry story is customer-controlled placement.

Pros

• Daytona offers broad deployment options, including single-tenant and customer-VPC models. Those options matter when customers require workloads inside their own cloud account.

• Its lifecycle billing also helps with dormant environments. Archive state eliminates charges for dormant sandboxes. Stopped and paused sandboxes bill disk only. These strengths matter when regulated buyers prioritize placement and network control.

Cons

• Daytona requires extra vendor-review diligence because docs and implementation details have changed quickly. Daytona's production codebase moved through a closed-source transition. The GitHub repository is no longer maintained.

• Open issues also document sandbox initialization failures, missing sandboxes, and unavailable nodes. Security reviewers should resolve those implementation questions before approving production regulated workloads.

Pricing

Rates as of July 2026:

• vCPU: vCPU costs $0.0504/hour. Memory costs $0.0162/GiB/hour.
• Storage: Storage costs $0.000108/GiB/hour, with the first 5 GiB free.
• Free tier: The free tier includes $200 in free compute. Enterprise is custom with SSO, audit logs, and BYOC.

At 1 vCPU and 2 GB RAM, the listed active compute rate equals about $0.0828/hour before storage.

Who is Daytona best for?

Daytona fits teams whose customers require agent workloads inside their own cloud account. It also fits tightly controlled network deployments. Verify SOC 2 Type II completion timing during vendor review. Current public materials don't show completion.

4. E2B

E2B sandboxes publishes its sandbox codebase on GitHub as an open-source project in the AI sandbox category. It runs Firecracker microVMs with fast creation times. The BYOC option on AWS and Google Cloud keeps templates, snapshots, and logs inside the customer's VPC. One caution for regulated buyers: SOC 2 Type II and HIPAA aren't listed on E2B's trust center. Buyers should source attestations directly from the vendor.

Key features

E2B combines Firecracker isolation with source visibility and customer-cloud routing:

• Firecracker isolation: Each sandbox gets its own kernel, memory, and page cache.
• BYOC routing: Sensitive traffic goes directly to the customer's VPC without touching E2B Cloud.
• Data residency: Data residency options include US and EU regions in public materials.
• Paused state: Paused sandboxes avoid active compute charges, but tier duration caps still apply.
• Egress filtering: Egress controls use allowOut and denyOut lists. The docs specifically describe domain filtering for HTTP and HTTPS traffic.

E2B gives teams strong isolation plus source visibility, but session limits remain central.

Pros

• E2B's Firecracker microVMs satisfy the strictest isolation criterion. BYOC keeps data inside the customer's AWS or GCP account. That helps buyers that prioritize customer-cloud residency.

• Source availability is also a differentiator. The E2B codebase is available for security review. E2B fits buyers that value code inspection and customer-cloud routing.

Cons

• E2B's main production constraint is session duration. E2B billing lists 1-hour Hobby sessions and 24-hour Pro sessions. Pro also costs $150/month before the first second of compute. The tier includes a 100-concurrent-sandbox cap.
• Long-running agents need filesystem testing as well. Filesystem changes can be lost on second and later resumes, according to GitHub issue 884. Those limits make long-running regulated production agents harder to model.

Pricing

Rates as of July 2026:

• Hobby: Hobby is free plus usage. It allows 1-hour sessions and up to 20 concurrent sandboxes.
• Pro: Pro costs $150/month plus usage. It allows 24-hour sessions and up to 100 concurrent sandboxes.
• Enterprise: Enterprise pricing is custom.
• Compute: Compute costs $0.000028/second for 2 vCPU. RAM costs $0.0000045/GiB/second.

For the closest listed 2 vCPU and 2 GB shape, active compute equals about $0.1332/hour.

Who is E2B best for?

E2B fits development-stage agent workloads and teams that want to inspect the sandbox stack before committing. Regulated buyers moving to production should confirm the vendor's compliance posture in writing first. Test the Pro session cap and documented filesystem loss against long-running agents.

5. Fly.io

Fly.io platform is a general-purpose global platform. It runs applications from Docker images inside Firecracker microVMs. Each Machine gets its own Linux kernel and fast boots. Fly.io holds SOC 2 Type 2, offers a pre-signed HIPAA BAA, and runs in ISO 27001 datacenters. It ships compute primitives rather than a managed sandbox product.

Teams assemble persistence and lifecycle management themselves. Machine restarts reset the ephemeral filesystem. Important data must go to Fly Volumes or external storage like S3. Billing is primarily usage-based pay-as-you-go. Fly.io also offers fixed monthly add-ons, such as HIPAA/compliance and support.

Key features

Fly.io gives infrastructure teams low-level primitives for building their own sandbox layer:

• Firecracker Machines: Each Machine runs in a Firecracker microVM with hardware-virtualization isolation.
• HIPAA agreement: A pre-signed HIPAA BAA activates when the customer signs.
• Usage billing: Fly.io uses pay-as-you-go billing with no base subscription for basic usage.
• Regional placement: A broad regional footprint lets teams place workloads near users.

Fly.io gives infrastructure teams primitives, not an agent-specific sandbox layer.

Pros

• Fly.io's Firecracker model provides hypervisor-grade isolation on HIPAA-eligible infrastructure. Low-volume workloads can avoid a monthly platform fee. That helps teams with variable demand.

• Persistent disks are available through Fly Volumes. That gives platform engineers a path to disk persistence across restarts. They still own the architecture around sandbox lifecycle, state, and recovery.

Cons

• Fly.io's tradeoffs matter because regulated buyers ask who operates each control. Documented outages and reliability issues affect production-stability reviews. Community support is available to all customers. Email support requires a paid support package or certain legacy plans.

• Billing also has several surfaces to model. Stopped-machine RootFS costs $0.15/GB/month. Volume snapshots add $0.08/GB per month.

Pricing

Rates as of July 2026:

• Performance Machine: performance-1x with 2 GB RAM costs $0.00001242/second.
• Shared CPU: shared-cpu-1x with 1 GB RAM costs $0.00000228/second.
• Volumes: Volumes cost $0.15/GB provisioned per month.
• Pricing model: Fly.io uses usage-based pricing with additional subscription options.

The listed 2 GB performance shape equals about $0.0447/hour before storage and add-ons.

Who is Fly.io best for?

Fly.io fits platform teams with infrastructure engineers willing to build their own sandbox layer. They get Firecracker primitives, not managed agent lifecycle controls. Prove out documented outages and reliability issues before production. Support remains thin for non-paying users.

Comparison table

Published pricing doesn't map cleanly to a single identical shape across all providers. Some providers price by vCPU and memory. Others publish fixed machine shapes or tiers. Use the table below to compare cost dimensions. Don't treat provider-specific hourly examples as interchangeable.

The feature comparison below summarizes the compliance and lifecycle tradeoffs that matter during vendor review.

How to choose

If your customers demand workloads inside their own cloud account, deployment sovereignty dominates. Shortlist Daytona and E2B's BYOC options. If you need completed attestations, microVM isolation, and standby economics on a managed platform, Blaxel leads. Government buyers needing FedRAMP should plan around authorized cloud primitives instead.

Deploy on the best sandbox platform for regulated industries

The execution layer sits inside your customer's audit boundary. The platform you pick either shortens security review or stalls the deal in procurement. Certifications, isolation model, and egress control are the three questions every regulated buyer asks first.

Blaxel is the infrastructure for autonomous agents. Instead of session-based environments that expire, Blaxel provides the execution layer agents depend on to run, connect, and operate at scale. Isolated micro-VMs boot in milliseconds, auto-suspend when idle, resume in 25 milliseconds, and persist state indefinitely. SOC 2 Type II, ISO 27001, and a HIPAA BAA cover the attestation checklist.

Native Zero Data Retention supports strict data-handling clauses. Granular control over networking, storage, and compute ships as built-in primitives. Custom domains, dedicated egress gateways in private preview, and proxy secrets injection address enterprise networking requirements without separate infrastructure. Volumes handle guaranteed long-term persistence when state must survive beyond standby.

Those capabilities matter for teams that want a managed execution layer for regulated agent code rather than fighting their infrastructure. BYOC-first requirements may still point to Daytona or E2B. FedRAMP requirements usually require authorized cloud primitives rather than a purpose-built sandbox vendor. Review the platform details at Blaxel's products page, then book a demo if you need to validate compliance scope with the engineering team.

FAQs about the best sandbox platforms for regulated industries

These questions cover the compliance gaps security teams usually raise during sandbox vendor review.

Which sandbox platforms offer a HIPAA BAA?

Three platforms in this roundup clearly document BAAs: Blaxel, Modal, and Fly.io. Blaxel offers a paid add-on. Modal includes it on Enterprise. Fly.io uses a pre-signed agreement. A BAA is necessary but not sufficient. Covered entities still need their own risk analysis. Check BAA scope carefully. Modal's BAA excludes Volumes (v1) and Memory Snapshots, for example.

Is any AI sandbox platform FedRAMP authorized?

No. None of the purpose-built sandbox platforms covered here lists its own FedRAMP authorization. Agencies and contractors handling controlled unclassified information should build on FedRAMP-authorized primitives such as AWS GovCloud. Otherwise, they must accept and document the compliance gap.

Why do auditors prefer microVMs over containers for agent code?

Containers share the host kernel. A kernel vulnerability can let code escape to the host. CVE-2019-5736 and CVE-2024-21626 both produced real container breakouts through runc. MicroVMs run a dedicated guest kernel per workload behind hardware virtualization. That model lowers the burden of proving tenant isolation. Auditors can map each tenant's AI-generated code to a stronger boundary.

What does zero data retention mean for a sandbox?

ZDR means sandbox state never touches durable disk. On Blaxel, the sandbox uses an in-memory writable filesystem over a read-only base. Terminating the microVM erases writable files and state. This matters for healthcare contracts that require PHI return or destruction. It also matters for finance buyers that prohibit recoverable data remnants. ZDR has a tradeoff. It requires skipping standby, since standby snapshots state to storage.