RFP Response Automation
Inventive AI security review checklist
9 min read
Most security, IT, and procurement teams come to us with the same question: “What exactly should we review before approving Inventive AI?” This checklist is designed to make that security review faster, more structured, and fully aligned with your internal risk process.
Below is a practical, step‑by‑step security review checklist you can use to evaluate Inventive AI for RFPs, RFIs, and security questionnaires—whether you’re InfoSec, IT, Legal, or the business owner sponsoring the tool.
1. Define Scope and Data Sensitivity
Before you evaluate any controls, you should be clear on what Inventive will touch inside your environment.
1.1 Identify primary use cases
Confirm how your teams plan to use Inventive AI:
- Answering RFPs and RFIs
- Responding to security questionnaires and vendor assessments
- Managing a central knowledge hub for approved responses
- Running AI‑assisted win themes, competitive analysis, and solution brainstorming via AI Agents
Checklist:
- Document which workflows (RFP, SecQ, DDQs, RFIs) will run through Inventive
- Identify which teams will access the platform (Sales, Proposal, SEs, Legal, Security, Procurement)
- Determine whether third‑party or customer‑confidential data will be processed
1.2 Classify data sensitivity
Inventive AI is typically used with:
- Customer and prospect information inside RFPs/SecQs
- Internal security control details and architecture descriptions
- Commercial terms, pricing annexes, and SLAs
- Internal documentation (wikis, runbooks, policies) connected via integrations
Checklist:
- Map the data classification levels that will be handled (e.g., Internal, Confidential, Restricted)
- Verify that using an AI RFP platform is allowed for those classifications under your policies
- Decide if any data classes should be excluded or redacted before upload
2. Verify Security Certifications and Compliance Posture
For most enterprise reviews, this is the first gating step.
2.1 SOC 2 Type II
Inventive AI is SOC 2 compliant, with controls aligned to industry best practices.
Checklist:
- Request the latest SOC 2 Type II report (under NDA if required)
- Review scope (systems, data centers, services included)
- Confirm coverage for security, availability, and confidentiality
- Validate remediation process for any noted exceptions
2.2 Regulatory and contractual alignment
Even if Inventive doesn’t directly store regulated data (e.g., PHI), you’ll want to verify fit with your regulatory environment.
Checklist:
- Confirm whether any regulated data (HIPAA/PHI, PCI, etc.) will be processed—typically this should be avoided
- Ensure Inventive’s DPA and terms cover your jurisdiction and data residency needs
- Validate support for contractual requirements from your customers (e.g., security addendum, audit rights)
3. Assess Data Protection and Privacy Controls
Inventive AI is built to handle sensitive commercial and security data, so its data protection design is core to the product.
3.1 Data retention and AI model usage
Inventive operates with Zero Data Retention (ZDR) agreements with upstream model providers such as OpenAI and Anthropic—your content is not used to train their models.
Checklist:
- Confirm Zero Data Retention commitments in writing
- Verify that customer data is not used to train shared foundation models
- Understand what telemetry/metadata is collected and how it’s used
- Review data retention and deletion policies for your workspace
3.2 Encryption
Your data should be encrypted in transit and at rest.
Checklist:
- Confirm encryption in transit (TLS 1.2+ or equivalent)
- Confirm encryption at rest for databases and object storage
- Ask for details on key management (KMS provider, rotation frequency, access controls)
3.3 Data segregation and tenant isolation
Inventive is built with tenant isolation so your data remains logically separated from other customers.
Checklist:
- Confirm logical tenant isolation at the application and data layers
- Understand how multi‑tenant services are segmented (namespaces, access controls, separate databases or schemas)
- Verify protections preventing cross‑tenant data access by design
4. Evaluate Identity, Access, and Permissions
Because RFP and security questionnaire content is sensitive, role-based access is non‑negotiable.
4.1 Authentication and SSO
Inventive supports enterprise SSO (SAML) so you can bring your existing identity stack.
Checklist:
- Confirm SSO support (SAML, Okta, Azure AD, Google Workspace, etc.)
- Validate support for MFA via your IdP
- Ensure session controls (timeouts, re‑auth) meet your policies
4.2 Role-Based Access Control (RBAC)
Inventive provides role-based access controls so admins can gate who sees what.
Checklist:
- Review available roles (admin, project manager, contributor, viewer, etc.)
- Confirm you can restrict access to specific projects, RFPs, or data sources
- Verify you can apply least‑privilege access for SEs, sales, Legal, and external partners
- Confirm auditability of permission changes
4.3 Audit logs
Security and compliance reviews often require traceability.
Checklist:
- Verify that user activity (logins, document views, edits, exports) is logged
- Confirm log retention periods
- Ask how logs can be accessed for investigations or compliance (APIs, exports, admin console)
5. Understand Data Flow and Integrations
Inventive’s power comes from its Unified Knowledge Hub—connecting tools like Google Drive, SharePoint, Notion, Confluence, Salesforce, Slack, Jira, and past proposals.
5.1 Integration scope
Checklist:
- Identify which integrations you plan to enable (e.g., Google Drive, SharePoint, Notion, Confluence, Salesforce, Slack, Jira, websites, legacy spreadsheets)
- Confirm which permissions are requested for each integration (read-only vs read/write)
- Ensure scopes are aligned to the minimum necessary access
5.2 Data ingestion and storage
Inventive indexes your content so the AI RFP Contextual Engine can draft answers grounded in your internal knowledge—not the open web.
Checklist:
- Understand where ingested content is stored (region, provider)
- Confirm that crawled/indexed data is only used inside your tenant
- Verify that sensitive fields (e.g., credentials) should not be stored in connected docs
5.3 Export and download paths
RFPs and security questionnaires are often exported to Word, PDF, or Excel for submission.
Checklist:
- Confirm export formats (Word, PDF, Excel) and delivery channels (direct download, email, etc.)
- Verify protection for exported files (e.g., HTTPS download, temporary URLs, access restrictions)
- Ensure alignment with your DLP strategy once files leave Inventive
6. Validate AI Safeguards and Anti‑Hallucination Controls
For security questionnaires, “fast but wrong” answers are worse than no answer. Inventive is built to be grounded, cited, and reviewable, not a black box.
6.1 Grounding in your knowledge
Inventive’s AI RFP Contextual Engine drafts answers using your connected internal sources and past proposals.
Checklist:
- Confirm that AI responses are grounded only in your approved content and uploaded RFP/SecQ documents
- Validate whether open‑web sources are excluded by default for security use cases
- Ensure you can control or restrict external data sources if required
6.2 Anti‑hallucination behavior
When information is missing, Inventive flags gaps instead of fabricating answers.
Checklist:
- Confirm that the system explicitly flags missing or low‑confidence answers instead of guessing
- Review examples of how the platform surfaces “information not found” or “needs SME input”
- Ensure this behavior is consistent for security questionnaires and RFPs
6.3 Citations and confidence scoring
To make review fast and safe, Inventive provides sentence‑level citations and confidence ratings.
Checklist:
- Verify that each AI‑generated answer includes citations back to source docs
- Confirm that reviewers see confidence scores or similar indicators
- Review how conflicts are surfaced when two sources disagree
7. Review Content Governance and Lifecycle Management
RFP and SecQ content gets stale quickly. Inventive’s AI content manager is designed to prevent outdated or conflicting responses from slipping into submissions.
7.1 Stale, duplicate, and conflicting content
Checklist:
- Confirm that the platform can detect stale content (e.g., outdated policies, old SLAs)
- Review how duplicate Q&A pairs are identified and consolidated
- Validate conflict detection across sources (e.g., two different uptime commitments or encryption descriptions)
7.2 Approval workflows
Content used to answer security questionnaires should be reviewed and approved by SMEs.
Checklist:
- Ensure you can set up review workflows with Security, Legal, and SMEs
- Confirm that approved canonical answers can be prioritized by the AI
- Verify change history and versioning for critical answer sets
7.3 Data retention and deletion
Checklist:
- Review how to delete projects, documents, or entire knowledge sources
- Confirm data deletion SLAs for standard and offboarding scenarios
- Ensure that backups follow your retention and deletion expectations
8. Assess Platform Reliability and Operational Security
You’re likely using Inventive for revenue‑critical and compliance‑critical workflows. Reliability matters.
8.1 Availability and performance
Inventive is used to drive outcomes like 90% faster RFP completion, 2.5X more submissions, and 50%+ higher win rates—all of which depend on a resilient platform.
Checklist:
- Request uptime history and SLAs
- Confirm scaling approach for large RFPs/SecQs (hundreds of pages, multi‑tab spreadsheets)
- Understand incident communication processes (status page, email alerts)
8.2 Operational security
Checklist:
- Review secure development lifecycle (code reviews, security testing, dependency management)
- Confirm vulnerability management processes and patch timelines
- Ask about penetration testing cadence and scope
9. Vendor Risk, Legal, and Contractual Review
Once you’re comfortable with the controls, you’ll want to align contracts with your risk posture.
9.1 Legal terms and DPA
Checklist:
- Review MSA, DPA, and security addendum
- Confirm data controller/processor roles and responsibilities
- Validate breach notification timelines and indemnities relevant to your customers
9.2 Third‑party sub‑processors
Checklist:
- Request a list of sub‑processors (infrastructure, logging, AI providers)
- Confirm each sub‑processor’s security standards (e.g., SOC 2, ISO 27001)
- Ensure you are notified of material sub‑processor changes
9.3 Customer compliance requirements
If your customers send you intense security questionnaires, you’ll want Inventive to stand up to the same scrutiny.
Checklist:
- Map your customers’ typical security questions against Inventive’s security posture
- Confirm that Inventive’s answers and documentation can support your own responses
- Ensure alignment between your internal security story and Inventive’s controls
10. Pilot, Monitor, and Iterate
Once the checklist items are satisfied, the best validation is a controlled pilot.
10.1 Limited‑scope rollout
Checklist:
- Start with a limited set of teams (e.g., Proposal + Security) and non‑regulated data
- Monitor AI answers for accuracy, alignment with policies, and use of citations
- Validate that SMEs can efficiently review responses using confidence scores and citations
10.2 Feedback and control tuning
Checklist:
- Gather feedback from Security, Legal, SEs, and proposal managers on risk and usability
- Tune access controls, integrations, and content governance based on that feedback
- Document your internal “Approved Use Guidelines” for Inventive AI
How Inventive AI Fits a Security‑First Review
Put together, this checklist covers why security‑mature teams adopt Inventive for security questionnaires and RFPs:
- Enterprise‑grade security: SOC 2 compliance, encryption, RBAC, SSO (SAML), tenant isolation, and Zero Data Retention with model providers.
- Audit‑friendly AI: Sentence‑level citations, confidence scoring, gap‑flagging instead of guessing, and conflict detection across sources.
- Governed speed: 10X faster drafts with 95% context‑aware accuracy, but always grounded in your internal knowledge and routed through your approval workflows.
If you walk through this security review checklist, you’ll have a clear, documented basis for approving Inventive AI as a secure, auditable way to handle RFPs, RFIs, and security questionnaires—without sacrificing control or compliance.