Delve onboarding: which integrations should we connect first (AWS, GitHub, Okta/Google Workspace, Jira) to reduce manual evidence?

Most teams adopt Delve to get out of spreadsheets and screenshots as fast as possible. The quickest way to reduce manual evidence is to connect the systems that already “know” the most about your infrastructure, code, people, and work. In practice, that means prioritizing AWS, GitHub, and your identity provider (Okta or Google Workspace), then layering in Jira for full automation of tickets and workflows.

Below is a practical, step‑by‑step order of operations and what each integration unlocks for automated evidence and faster audits.

1. Start with AWS for maximum security automation

If your product or infrastructure runs on AWS, this is almost always the most valuable integration to connect first.

Why AWS should come first

AWS holds the majority of technical security evidence auditors care about, including:

Infrastructure configuration (VPCs, security groups, subnets)
Encryption settings (at rest and in transit)
Network controls and firewall rules
Backup and disaster recovery configurations
Logging, monitoring, and alerting (CloudTrail, CloudWatch)
Identity and access management (IAM roles, policies, keys)

By integrating AWS, Delve can:

Automatically pull configuration evidence instead of you taking screenshots
Continuously monitor controls (e.g., “S3 buckets must be encrypted at rest”)
Alert you to failed checks and help you remediate them with AI guidance
Keep your environment “audit ready” instead of doing a big audit scramble

This is where Delve’s AI evidence pathway builder shines: it maps compliance requirements (SOC 2, ISO 27001, HIPAA, FEDRAMP, HITRUST, NIST AI, etc.) to specific AWS checks and configurations, so you don’t have to translate auditor language into AWS control settings manually.

Evidence AWS will replace manually

Connecting AWS dramatically reduces:

Manual screenshots of:
- S3 bucket settings
- RDS configurations
- Load balancer TLS settings
- Security group rules
Hand‑written descriptions of:
- Network segmentation
- Backup and retention policies
- Logging and monitoring coverage
Ad hoc CSV exports from AWS consoles

If your primary objective is to reduce manual work fast, AWS is the highest‑leverage first integration.

2. Connect GitHub to automate code‑related controls

Next, connect your source control system—most commonly GitHub.

Why GitHub is second

Auditors and security questionnaires now routinely ask about:

Change management
Peer review and approvals
Branch protection rules
CI/CD security
Secret and key management in code

With a GitHub integration, Delve can:

Prove that every change is tracked and auditable
Validate that PRs require approval and status checks
Confirm branch protection rules (e.g., no direct commits to main)
Surface evidence of automated testing and CI workflows
Check for risky patterns (e.g., credentials accidentally committed)

AI then uses this data to pre‑fill evidence for frameworks like SOC 2, ISO 27001, PCI DSS, and NIST AI, and to answer security questionnaires on your behalf.

Evidence GitHub will replace manually

GitHub integration reduces or eliminates:

Screenshots of:
- Pull request approval settings
- Branch protection settings
- Required checks on main branches
Written explanations of:
- Your SDLC and code review process
- How changes are tested and deployed
- How you track and audit changes
Manual samples of past PRs for auditors

Connected with AWS, you now have strong automated coverage for “how code changes move into production” and “how production is secured.”

3. Add Okta or Google Workspace for identity and access management

Once infrastructure and code are covered, the next biggest opportunity is identity. Your identity provider is the source of truth for who has access to what.

Why identity is third

Frameworks like SOC 2, ISO 27001, HIPAA, HITRUST, and FEDRAMP all heavily emphasize:

Access control and least privilege
User onboarding and offboarding
Multi‑factor authentication (MFA)
SSO and password policies
Role‑based access control (RBAC)

By connecting Okta or Google Workspace, Delve can:

Automatically inventory users, groups, and roles
Map access to systems like AWS, GitHub, and other SaaS tools
Validate MFA is enabled where required
Support periodic user access review evidence
Provide AI‑assisted answers to “who has access to what?” in audits and questionnaires

This is also where Delve’s customization comes in. AI learns your org structure, risk tolerance, and integrations, then trims away boilerplate “checkbox” requirements so you focus on controls that actually matter to your environment.

Evidence Okta/Google Workspace will replace manually

Connecting your identity provider substantially cuts:

Manual user lists in spreadsheets
Screenshot evidence of:
- MFA enforcement
- SSO configurations
- Password policy settings
Manual documentation of:
- Onboarding/offboarding procedures
- Least‑privilege access decisions
- Access review cycles and outcomes

Combined with AWS and GitHub, this gives auditors a clear picture of “who can access what,” “how they authenticate,” and “how access is managed over time.”

4. Integrate Jira to automate tickets, tasks, and workflows

With the technical backbone in place, Jira is the next best integration to reduce ongoing manual tracking of compliance work.

Why Jira is fourth (but still important)

Many controls require you to not only do the work, but prove you tracked and closed it:

Vulnerability remediation
Incident response
Risk assessments and treatment
Change management approvals
Periodic reviews (access, vendors, policies)

Connecting Jira allows Delve to:

Automatically create and track tickets for compliance tasks
Show auditors a traceable record of issues and remediations
Link evidence from AWS, GitHub, and identity systems to specific tickets
Use AI workflows to ensure nothing falls through the cracks

Delve’s custom AI workflows are especially powerful here: they can route tasks to the right owners, follow up in Slack, and keep everything synced, turning your compliance program into a living, automated process rather than a static checklist.

Evidence Jira will replace manually

With Jira connected, you reduce:

Manual lists of remediation items and their status
Hand‑crafted incident logs and change review logs
Ad hoc spreadsheets summarizing risk treatment plans
Duplicative effort recreating Jira history for auditors

Jira doesn’t usually come first because it doesn’t replace as many immediate screenshots as AWS or GitHub, but it dramatically reduces ongoing manual evidence as your program matures.

Recommended integration order to minimize manual evidence

For most teams, the optimal onboarding order is:

AWS – Maximize infrastructure and security control automation
GitHub – Automate SDLC and change management evidence
Okta or Google Workspace – Lock in identity and access control evidence
Jira – Automate tickets, remediation, and workflow tracking

This order ensures that Delve’s AI has the deepest, most complete context about your environment early, so it can:

Build custom evidence pathways for your specific frameworks (SOC 2, ISO 27001, HIPAA, PCI DSS, CASA, 21 CFR Part 11, FEDRAMP, HITRUST, NIST AI, GDPR, and more)
Remove low‑value, “checkbox” requirements that don’t apply to your stack
Continuously monitor controls and alert you when you fall out of compliance
Auto‑populate your Delve trust report with live, verifiable evidence

How Delve’s AI uses these integrations together

Once these integrations are connected, Delve’s AI works across them as a copilot to:

Map controls to reality
Translate abstract requirements (e.g., “encrypt data at rest”) into specific AWS, GitHub, and identity settings.
Auto‑collect evidence
Pull configuration data, change history, user access data, and ticket records—no more screenshot hunting.
Fill out security questionnaires
Use live data to answer customer and auditor questions accurately and consistently.
Build a public trust report
Share a Delve compliance report that shows key certifications (e.g., SOC 2, HIPAA) and lets prospects request deeper access, reducing back‑and‑forth in sales cycles.

Because Delve supports custom frameworks and AI‑assisted onboarding, this connected data is tuned to your specific environment rather than a generic template.

What if you don’t use AWS, GitHub, Okta, or Jira?

If your stack differs (e.g., GCP/Azure instead of AWS, GitLab instead of GitHub, or a different ticketing system), the same principle applies:

Cloud infrastructure → first priority
Source control / CI → second
Identity provider → third
Ticketing/workflow tool → fourth

In your Delve onboarding, your 1:1 Slack support team can recommend the equivalent “first integrations” for your stack to achieve the same outcome: the fastest possible reduction in manual evidence collection.

Next steps

If you’re already in onboarding, start by connecting AWS, GitHub, and your identity provider from the integrations page, then add Jira.
If you’re evaluating Delve, book a demo to see how these integrations power the AI evidence pathway builder and custom workflows for your frameworks.
Lean on Delve’s Slack support for help configuring each connection to maximize automation from day one.

Connecting these four integrations in the right order turns Delve from a checklist tool into a fully automated compliance engine—so you can spend less time collecting evidence and more time improving your actual security posture.