The Seven Questions Every CISO Asks
I have spent the last eighteen months in CISO conversations about RevSprint adoption, and the questions arrive in nearly the same order every time: where does the data live, who can reach it, how is personally identifiable information handled, what does the audit trail actually look like, which compliance certifications hold, what does incident response look like in practice, and what is the third-party risk profile under the hood. Clear answers to all seven turn the procurement conversation into a formality. Vague answers to any one of them turn it into a blocker that drags on for months.
This piece is structured to answer each of those seven questions at the depth a security review team needs to evaluate them without scheduling a follow-up call. Print it, attach it to whatever vendor evaluation document your team already uses, and treat it as a baseline against which to evaluate every AI vendor in the procurement queue, not only this one.
Where the Data Lives
Customer data is stored in a dedicated cloud environment with tenant boundaries enforced structurally rather than by policy. That means the boundary between one organisation's data and another's is a property of the data access layer itself, not a runtime filter that could be bypassed by a bug or an adversarial query. Encryption is applied in transit and at rest using industry-standard algorithms, with keys managed in hardware-backed key management. Data residency is configurable for customers with regional regulatory requirements.
Backup and disaster recovery operate continuously, with recovery point objectives measured in minutes rather than hours. The operational environment and the audit archive are separated architecturally, so the record of what happened survives independently of any compromise to the operational system.
Access, PII, and the Audit Trail
Access to customer data is role-based, with every action authenticated, authorised, and logged. No employee has standing access to customer production data. Emergency access requires documented justification, multi-party approval, and leaves an audit trail that customers can inspect. Role-based visibility extends within customer organisations as well: different users see different depths of intelligence based on their role, with the system guiding rather than blocking.
Personal data is removed from AI processing at the architectural layer. Customer names, email addresses, phone numbers, and other identifiers are replaced with neutral placeholders before any request reaches an AI model. The AI layer reasons on anonymised data, and the real information is recontextualised on the way back to authorised users. The model never sees, processes, or stores actual personal information. This is not a filter applied after the fact. It is a structural guarantee enforced before any AI request is constructed.
Every action taken by the system is recorded to a tamper-evident audit log. Entries are cryptographically chained so that altering any single entry invalidates the chain. Chain integrity is verified continuously, with alerts triggered immediately on any inconsistency. Audit records are mirrored to separate storage that operates under write-once semantics, so the historical record cannot be modified even by RevSprint engineering.
- Data at rest: encrypted with industry-standard algorithms, keys in hardware-backed key management
- Data in transit: encrypted with current TLS standards, with certificate pinning on sensitive endpoints
- Employee access: zero standing access, multi-party approval for emergency access, full audit trail
- Personal data: removed structurally before any AI processing, never transmitted to model providers
- Audit trail: tamper-evident, cryptographically chained, continuously verified, mirrored to immutable storage
Compliance, Incident Response, and Third-Party Risk
RevSprint's compliance posture covers SOC 2 Type II, ISO 27001, GDPR, and HIPAA alignment. These are architectural rather than procedural: the controls are embedded in the system design rather than enforced through policies that depend on human diligence. Documentation is available under NDA for customer security reviews, including system architecture descriptions, control mappings, and recent audit reports.
Incident response follows a documented process with defined roles, escalation paths, and customer notification commitments. For any security incident affecting customer data, notification is issued within the window required by applicable regulation, with a detailed report following containment. Post-incident reviews are shared with affected customers, including root cause analysis and remediation steps.
Third-party risk is managed through a vendor review process that covers every service provider in the data processing chain. AI model providers are specifically scoped: personal data is structurally prevented from reaching them, so their security posture affects only anonymised reasoning rather than identifiable customer information. Subprocessor lists are published and updated when providers change, with advance notification to customers when required.
What to Ask Your Next AI Vendor
Use these questions as a baseline for any AI vendor evaluation, whether or not the vendor is RevSprint. If the answers are vague, evasive, or require follow-up calls to clarify, treat that as a signal about the maturity of the vendor's security posture. A vendor that cannot articulate these answers clearly is a vendor whose architecture has not been designed with them in mind, which means the gaps are structural rather than procedural. Those are the gaps that will become your incidents.
Ask how tenant isolation is enforced, and whether it is structural or policy-based. Ask whether personal data is removed before it reaches the AI layer, or filtered from responses afterward. Ask what the audit trail looks like, how it is verified, and whether it can be modified. Ask which compliance frameworks are supported architecturally versus procedurally. Ask what the incident response timeline looks like for customer notification. Ask which subprocessors are in the data path and how their risk is managed. Ask what happens when the AI-specific attack surface is stress-tested against the system. Ask what happens when your contract ends: how is data deleted, and how is that deletion verified. The Symbiotic Intelligent Operating System was built to answer every one of these with a structural explanation, because progressive autonomy only works when the trust foundation is verifiable from the first day.
The OECD AI Principles map these questions to the trustworthy-AI characteristics regulators and auditors are increasingly applying across jurisdictions. To start the security review on your own terms, review our security model or get early access.
