Know what software
is running
Connect an approved release to a live workload identity using reviewed source, controlled build inputs, and independently reproducible evidence.
For CISOs & security leaders
Replace operator assurances with verifiable evidence
Caution's hosting platform helps security teams verify the software handling sensitive data, protect data all the way into a verified workload, and release secrets only to approved workload identities.
Security outcomes
What your security team can verify and enforce
The Caution platform turns claims that normally depend on an operator into evidence and policy decisions your team can review independently.Caution turns claims that normally depend on an operator into evidence and policy decisions your team can review.
Know what software
Release secrets only to
approved workloads
Make secret delivery depend on workload approval so an unexpected or changed runtime can be denied access to protected material.
Protect data all the way
into the workload
Use an end-to-end encrypted application path so sensitive payloads remain protected until they reach the verified workload.
Give customers and auditors
independent verification
Let authorized reviewers inspect the evidence with open tooling instead of relying only on Caution or the service operator.
Choose where the
service runs
Apply the same verification model across fully managed, customer-cloud, and self-hosted deployment boundaries.
Bring your workload to us
Discuss your security requirements and see how Caution fits your deployment. Talk to our team
Independent verification
Turn an approved release into a verifiable production identity
Your team defines what it trusts, independently checks the running service, and uses the result in the control processes that matter to the business.
Learn how verification works-
Define what is approved
Establish the reviewed software, build inputs, configuration, and release identity your organization is prepared to trust.
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Verify what is running
Use independent tooling to compare the live workload identity with the approved release and detect unexpected change.
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Use the result
Feed the verification decision into release gates, monitoring, customer assurance, and secret-delivery policies.
See an example: stopping a modified transaction before signing
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Approved service
Your security team approves the service that prepares blockchain transactions for users to sign. The wallet accepts transaction payloads only from that verified workload.
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Deployment modified
An attacker compromises the deployment pipeline and replaces the service with code that redirects assets or inserts malicious contract calls.
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Verification failed. Signing blocked.
The modified service has a different workload identity, so verification fails and the wallet refuses to present its transaction for signing.
Controls and evidence
Turn verification into enforceable controls and usable evidence
Once a workload matches the approved release, that decision can protect data paths, gate secret delivery, and produce evidence your team can retain and use.
Verify the deployed software
- Runtime control
- Compare the live workload identity with the release your organization approved.
- Evidence retained
- Approved source and build inputs, the expected and reproduced workload identity, the live verification result, and a deliberate mismatch test.
- Security use
- Release approval, change control, supplier diligence, and investigation of unexpected software state.
Protect sensitive data paths
Explore end-to-end encryption- Runtime control
- When protected transport is enabled, sensitive data remains encrypted until it reaches the verified workload.
- Evidence retained
- Where application encryption begins and ends, which infrastructure can observe plaintext, and how the production path behaves when verification fails.
- Security use
- Confidentiality architecture, privacy and data-protection review, and regression testing after network or application changes.
Gate production secrets
Explore verified secret delivery- Runtime control
- Release protected material only when the live workload identity matches an approved baseline and the configured authorization policy is satisfied.
- Evidence retained
- The approved workload identity, authorization policy, participants, and successful or denied outcome of each release decision.
- Security use
- Policy enforcement, separation of duties, failed-release testing, recovery readiness, and controlled access to protected material.
High-assurance workloads
Where verifiable software changes the risk model
The Caution platform is designed for services where an operator, administrator, or compromised deployment pipeline could otherwise exercise sensitive authority or access valuable data.
Private AI and sensitive data processing
Give customers evidence about the software handling private prompts, models, records, or other classified inputs.
- AI providers
- Healthcare
- Financial services
Signing, authorization, and key systems
Verify which software can receive keys, approve transactions, issue credentials, or exercise cryptographic authority.
- Financial infrastructure
- Digital assets
- Identity
Policy engines, oracles, and trusted data feeds
Make the implementation behind a high-impact decision or published data feed independently inspectable.
- Fintech
- Critical infrastructure
- Automated markets
Verifiable SaaS and regulated processing
Support customer diligence when sensitive workflows run outside the customer's direct operational control.
- Enterprise SaaS
- Public sector
- Regulated data
Deployment control
Choose your deployment boundary
Match infrastructure ownership, operational responsibility, and evidence collection to the service you are protecting.
Caution-managed hosting
Deploy and verify your workloads while Caution manages the underlying infrastructure and workload lifecycle.
Explore fully managed hostingYour cloud, our management
Deploy in your AWS account and keep workloads, data, billing, and network boundaries in your environment.
Explore bring your own computeSelf-host Caution
Inspect and operate the open-source platform yourself to meet threat model or control requirements that call for direct platform ownership.
Explore self-hosting
Framework alignment
Use technical evidence in the security programs you already rely on
Give security and assurance teams technical evidence they can use in architecture review, supplier diligence, control testing, and audit preparation. A focused review maps Caution-generated evidence to NIST CSF 2.0, ISO/IEC 27001, SOC 2, and NIS2.
21
Relevant technical evidence relationships across four security programs
- 2 direct
- 4 configuration-dependent
- 15 supporting
This is a targeted mapping of Caution-generated evidence—not a measure of framework coverage, certification, or controls satisfied.
| Security program | Where Caution helps | Evidence available | What your organization operationalizes |
|---|---|---|---|
| NIST CSF 2.0 | Software authenticity and integrity, data confidentiality in use, protected data paths, supplier assurance, and configuration integrity. | Six relevant outcomes: 2 direct, 1 configuration-dependent, and 3 supporting relationships. | Approve the expected workload identity, enable the required data path, and operate monitoring, response, and recovery. |
| ISO/IEC 27001:2022 + Amd 1:2024 | ICT supply-chain assurance, cloud-service evaluation, privileged access reduction, configuration integrity, cryptography, secure development, and change integrity. | Seven relevant Annex A controls: 1 configuration-dependent and 6 supporting relationships. | Maintain the ISMS, risk treatment, Statement of Applicability, control operation, and certification process. |
| SOC 2 — 2017 TSC, revised points of focus 2022 | Logical-access boundaries, protected system boundaries, encrypted information flows, and deployed configuration integrity. | Four relevant criteria: 1 configuration-dependent and 3 supporting relationships. | Define commitments, design and operate controls, retain period evidence, and let the auditor evaluate suitability. |
| NIS2 Article 21 | Supply-chain assurance, secure development and maintenance, control-effectiveness testing, and cryptographic safeguards. | Four relevant measures: 1 configuration-dependent and 3 supporting relationships. | Determine applicability, proportionality, governance, reporting, continuity, and management accountability. |
The Caution Security Brief documents each relevant reference, the evidence your team can use, and the configuration or organizational process required to operationalize it.
FAQs
Answers for security review
Designed for explicit trust, not hidden assumptions
The strongest assurance requires access to reviewed source or an approved workload identity, reproducible application builds, production configuration, a trusted verifier, acceptance of the current platform trust root, and end-to-end encryption where infrastructure must not observe application plaintext.
Application security, governance, monitoring, incident response, resilience, and compliance remain customer-owned.
Enterprise evaluation
Review a high-assurance workload with us
Bring the workload, threat model, and evidence requirements. We will help your security and platform teams evaluate how the Caution platform fits the service.