The 10 platforms · what each is actually best at.
Honest read on positioning, ideal customer, and where each one is the wrong call. No vendor sponsorship, no affiliate links — operator-grade signal.
1. Vanta Series B+ · 350+ integrations · broadest coverage
Integration breadth is Vanta's structural moat. 350+ pre-built integrations — the largest catalog in the category. Deep AWS / Azure / GCP coverage plus a long tail of SaaS, identity, ticketing, MDM, and security tooling. If your stack has anything obscure, Vanta is most likely to already pull evidence from it without a custom collector.
✓ Strongest atRaw integration count (350+), AWS/Azure/GCP all first-class, deepest long-tail SaaS coverage (HRIS, ticketing, MDM, vuln scanners), least likely to need custom evidence collectors.
✗ Wrong forBuyers who only care about depth on one cloud and don't value the long tail. Teams that want to pay only for what they use.
Pick Vanta if: your stack is heterogeneous and you want the highest probability that every tool you already run is already an out-of-the-box integration.
2. Drata Series B+ · 200+ integrations · enterprise-grade depth
Drata trades raw count for per-integration depth. 200+ integrations but each one pulls more granular evidence — drift detection, control-level mapping, and continuous-monitoring hooks rather than just point-in-time snapshots. Strong AWS + Azure + GCP coverage with deeper Security Hub / Defender / SCC signal extraction than most peers.
✓ Strongest atPer-integration evidence depth, drift detection, continuous-monitoring hooks on cloud config, control-level evidence mapping per integration.
✗ Wrong forStacks with lots of niche SaaS that Vanta integrates and Drata doesn't. Teams that index on raw integration count for procurement.
Pick Drata if: you have a focused stack and you'd rather have deeper evidence per integration than a longer integration list.
3. Secureframe Series B · 200+ integrations · multi-cloud parity
Secureframe optimizes for multi-cloud parity. 200+ integrations with deliberate effort to match feature depth across AWS / Azure / GCP rather than treating Azure or GCP as second-class. Strong fit for teams running real workloads on 2+ clouds where you don't want a vendor whose Azure integration is half of their AWS integration.
✓ Strongest atCross-cloud parity (AWS ≈ Azure ≈ GCP feature depth), multi-framework integration reuse (one integration covers SOC 2 + ISO + HIPAA + PCI), policy-mapped evidence pulls.
✗ Wrong forAWS-only shops who don't need parity (Vanta or Drata cheaper-per-feature). SOC-2-only buyers who don't need multi-framework integration reuse.
Pick Secureframe if: your infra is genuinely multi-cloud and you've been burned by vendors with one strong cloud + two weak ones.
4. Sprinto Series B · 200+ integrations · APAC stack support
Sprinto matches the integration breadth of the top tier at half the price. 200+ integrations covering all three major clouds plus deeper-than-average support for APAC-region SaaS (Razorpay, Freshworks, Zoho, regional payroll). Best fit if your stack includes APAC-origin tools that Vanta/Drata haven't prioritized.
✓ Strongest atPricing per integration (40-60% under Vanta/Drata), APAC SaaS coverage (Razorpay, Freshworks, Zoho), full AWS/Azure/GCP cloud coverage.
✗ Wrong forTeams with deep US-enterprise SaaS stack (Vanta's long tail wins). Buyers who need bleeding-edge per-integration depth (Drata wins).
Pick Sprinto if: your stack includes APAC-origin SaaS or you want top-tier integration breadth at startup-friendly pricing.
5. Scytale Series A · ~100 integrations · AI-first prioritization
Scytale uses AI to prioritize which integrations matter for YOUR audit, not all of them. ~100 integrations — smaller catalog than incumbents but the AI control-mapping decides which evidence sources are actually needed for your specific scope and skips the rest. Better fit for teams who don't want to wire up 50 integrations they'll never look at.
✓ Strongest atAI-driven integration prioritization, control-mapped evidence collection, bundled audit-services workflow on top of integrations.
✗ Wrong forStacks with niche SaaS not in their catalog. Buyers who want raw breadth as a procurement signal.
Pick Scytale if: you'd rather have 100 well-mapped integrations than 350 with most unused.
6. Scrut Automation Series A · ~150 integrations · GRC + cloud depth
Scrut treats integrations as a GRC + risk surface, not just compliance evidence. ~150 integrations with deeper GRC + vendor-risk + continuous-risk-scoring hooks alongside standard cloud evidence pulls. Strong AWS / Azure / GCP coverage plus integrations into the GRC/vendor-risk side that pure compliance vendors skip.
✓ Strongest atGRC + vendor-risk integrations alongside cloud evidence, continuous-risk-scoring data pipelines, third-party risk integration depth.
✗ Wrong forSOC-2-only buyers who don't need GRC depth (Vanta/Drata simpler). Teams without a GRC owner to operate the depth.
Pick Scrut if: your integrations need to feed real GRC + vendor-risk workflows, not just audit evidence.
7. Thoropass Series B · ~75 integrations · audit-evidence-focused
Thoropass scopes integrations to what its in-house auditors actually use. ~75 integrations — the smallest top-tier catalog — but every one is audit-evidence-shaped because the same vendor owns the audit firm. Less integration sprawl, faster from connect-to-ready-for-fieldwork because the auditor designed the evidence pulls.
✓ Strongest atAudit-evidence-shaped integrations (designed by in-house auditors), faster connect-to-fieldwork-ready, single-vendor accountability for both pull AND audit-acceptance.
✗ Wrong forStacks with tools outside their narrow integration list (will need manual evidence). Teams that want auditor-of-choice flexibility.
Pick Thoropass if: your stack overlaps their integration list and you want the auditor + the integration designer to be the same vendor.
8. Hyperproof Series B · ~80 integrations · enterprise GRC + ITSM bridges
Hyperproof's integration story leans enterprise — ITSM, GRC, identity governance bridges. ~80 integrations weighted toward ServiceNow / Jira Service Management / Workday / SailPoint / enterprise IDPs. Cloud integrations exist but the differentiator is plugging into the enterprise GRC + ITSM workflow stack a 1000+ employee org actually runs.
✓ Strongest atEnterprise ITSM bridges (ServiceNow / JSM / Workday), identity governance integrations (SailPoint / Okta IGA), enterprise GRC orchestration hooks.
✗ Wrong forSub-500-employee orgs with no ServiceNow / SailPoint / enterprise IDP. SaaS-heavy startups (Vanta/Sprinto cover their stack better).
Pick Hyperproof if: your integration list MUST include ServiceNow + SailPoint + enterprise IDP and you have the GRC team to operate it.
9. TryComp AI Seed/A · growing integration list · AI auto-mapping
TryComp's bet is that AI auto-mapping reduces the integration count you need. Smaller catalog than incumbents and growing fast — the differentiator is AI agents that auto-map evidence from whatever IS connected to whatever control needs it, reducing the 'do we have an integration for X' anxiety. Faster custom-integration shipping than legacy vendors.
✓ Strongest atAI auto-mapping of evidence to controls, fast custom-integration shipping for AI-native stacks, founder-accessible integration requests.
✗ Wrong forEnterprise procurement that grades on raw integration count. Teams that need every legacy SaaS already on the list.
Pick TryComp AI if: you're an AI-native startup and you'd rather have AI auto-mapping than a 350-item integration menu.
10. Delve Seed/A · growing integration list · AI auto-mapping
Delve's integrations are designed for autonomous agent consumption from day one. Smaller catalog than incumbents but every integration is structured for AI agents to pull, normalize, and map evidence without human intermediation. Newer than Vanta/Drata by 5+ years — fewer integrations, but agentic-shaped from the architecture down.
✓ Strongest atAI-agent-shaped integration data, autonomous evidence collection + normalization, fast iteration on new integrations driven by agent-pull patterns.
✗ Wrong forStacks with lots of legacy enterprise SaaS not yet in their growing list. Buyers who need 5+ year vendor stability proof.
Pick Delve if: you're betting on AI-native agentic compliance architecture and accept the smaller integration catalog as a current snapshot, not a ceiling.
The Calling Matrix · siren-based ranking by who you are.
Most comparison sites refuse to forced-rank because their revenue depends on staying neutral. SideGuy ranks because it doesn't take vendor money. Here's the call by buyer persona.
🟧 If you're a AWS-native stack (CloudTrail + GuardDuty + IAM + KMS + Config)
Your problem: Your entire infra is AWS. You want a compliance platform that pulls evidence directly from CloudTrail / Config / Security Hub / GuardDuty / IAM / KMS without agents or custom collectors. AWS-native depth matters more than integration count.
- Vanta — deepest AWS-native pulls in the category — CloudTrail / Config / Security Hub / GuardDuty / IAM / KMS all first-class, no custom collectors needed
- Drata — per-integration depth on AWS is best-in-class, drift detection on Config + Security Hub catches what point-in-time pulls miss
- Sprinto — full AWS coverage at 40-60% under Vanta — no compromise on AWS-native pulls for budget-constrained teams
- Secureframe — strong AWS depth, worth picking only if you ALSO have Azure or GCP workloads (parity is the differentiator)
- Scytale — AWS coverage exists but smaller catalog — only worth it if AI prioritization matters more to you than raw AWS depth
If forced to one pick: Vanta — deepest AWS-native pulls + biggest catalog of AWS-adjacent SaaS already wired = lowest custom-collector burden for an AWS-only shop.
🟦 If you're a Azure-native stack (Microsoft Defender + Entra ID + Purview + Sentinel)
Your problem: You're a Microsoft shop. Your IDP is Entra ID, your endpoint security is Defender, your data classification is Purview. You want a vendor that doesn't treat Azure as a second-class integration after AWS.
- Secureframe — explicit cross-cloud parity goal — Azure integrations match AWS feature depth instead of being half-implementations
- Vanta — Azure coverage is real and broad — Defender / Entra ID / Purview / Sentinel all integrated, brand-defensibility intact
- Drata — Azure depth is competitive with Vanta, drift detection works on Defender + Entra ID, strong fit for Microsoft-heavy enterprise
- Hyperproof — best fit if your Microsoft stack includes ServiceNow + SailPoint + enterprise IDP bridges in addition to Defender/Entra
- Sprinto — Azure coverage exists at top-tier breadth but feature depth on Defender/Sentinel may lag the bigger budgets — viable for cost-constrained Azure shops
If forced to one pick: Secureframe — they made parity an explicit product goal, which means your Azure stack won't get the second-tier integration treatment it gets from AWS-first vendors.
🟥 If you're a GCP-native stack (Security Command Center + Cloud Identity + Cloud Logging)
Your problem: You're on GCP for ML/AI workloads. Most compliance platforms have shallow GCP integrations vs AWS. You want native pulls from SCC / Cloud Logging / Cloud Identity / IAM Recommender — not just GCP-via-Terraform-as-code-scan.
- Secureframe — cross-cloud parity means GCP gets the same depth as AWS — SCC / Cloud Logging / Cloud Identity all natively integrated, not Terraform-scan workarounds
- Vanta — GCP coverage is real and growing — SCC + Cloud Identity + Cloud Logging + IAM all integrated, biggest catalog of GCP-adjacent SaaS
- Drata — GCP integration depth is strong, continuous-monitoring hooks work on SCC findings, viable for GCP-heavy infra teams
- Scrut Automation — GCP coverage plus GRC depth — worth it if your AI/ML workloads also need vendor-risk + continuous-risk-scoring on top of compliance evidence
- Sprinto — GCP coverage at top-tier breadth + lower price — good fit for AI-native startups on GCP with seed/Series A budget
If forced to one pick: Secureframe — explicit cross-cloud parity is the only structural defense against GCP-as-second-class-citizen treatment that AWS-first vendors quietly ship.
🌐 If you're a Multi-cloud / hybrid (AWS + Azure + GCP + on-prem)
Your problem: Your infra spans 2-3 clouds plus some on-prem legacy. You need a platform that gives you a unified evidence layer regardless of where the workload lives. Integration parity across clouds matters more than cloud-specific depth.
- Secureframe — cross-cloud parity is the explicit product goal — AWS ≈ Azure ≈ GCP feature depth, unified evidence layer across all three
- Vanta — broadest catalog covers all three clouds + on-prem-adjacent SaaS (MDM, ticketing, identity) — least likely to leave a coverage gap
- Hyperproof — enterprise GRC orchestration unifies multi-cloud + on-prem + ITSM evidence into one workflow if you have the GRC team
- Drata — depth on each cloud is strong, drift detection works across multi-cloud, viable if breadth-of-on-prem-tooling isn't critical
- Scrut Automation — multi-cloud + GRC + vendor-risk in one platform — worth it if your hybrid stack also needs continuous risk scoring across the surface
If forced to one pick: Secureframe for parity-first multi-cloud, Hyperproof if you're 1000+ employees with on-prem + ServiceNow + GRC team — pick by org maturity, not by integration count alone.
⚠ Operator-honest read
These rankings are SideGuy's lived-data + observed-buyer-pattern read as of 2026-05-11. They're directional, not gospel. The right answer for YOUR specific situation may diverge — text PJ for a 10-min operator-honest read on your actual buying context.
Vendor pricing + features + market positioning shift quarterly. SideGuy may earn referral commissions from some of these vendors, but rankings are independent — affiliate relationships never change rank order. Sister doctrines: /open/ live operator dashboard · install packs · operator network.
FAQ · most asked questions.
Which compliance vendor has the most integrations?
Vanta leads on raw count with 350+ pre-built integrations — the largest catalog in the SOC 2 automation category. Drata, Secureframe, and Sprinto cluster around 200 integrations each. Scrut Automation sits around 150. Hyperproof, Thoropass, and Scytale fall in the 75-100 range. TryComp AI and Delve are in the growing-catalog phase as newer AI-first entrants. Raw count is one signal — per-integration depth and how well the integrations match YOUR specific stack matter more than the catalog total.
Do agentless integrations actually work as well as agent-based?
It depends on the cloud and the evidence type. For AWS / Azure / GCP cloud config evidence, read-only API access via OIDC roles or service principals is now the standard — no agents needed. CloudTrail, Config, Security Hub, Defender, SCC, Cloud Logging all expose the evidence platforms need via API. Agents are still relevant for endpoint evidence (MDM, EDR) where the data lives on the device, but for cloud-native infra, agentless via scoped read-only API access is now the norm and works as well as agents did 5 years ago — often better, because there's no agent to break.
What if my SaaS isn't on the integration list?
Most platforms support manual evidence upload via the UI plus custom integrations via API or webhook. Building a custom integration is real engineering work — typically 1-4 weeks depending on the source SaaS's API maturity — but it's not blocking for 95% of cases because manual evidence upload covers the gap during audit prep. The real cost is ongoing: every audit cycle, someone has to remember to re-upload manual evidence, vs an integration that pulls automatically. If a missing-integration SaaS is core to a control, prioritize a vendor where it's already on the list. If it's edge-case, manual upload is fine.
Does integration breadth matter more than depth?
Depends on your stack. For SaaS-heavy startups running 30-80 SaaS tools across HRIS / ticketing / MDM / vuln / identity / payments — breadth wins because the alternative is custom-integration debt for every gap. Vanta or Sprinto are usually the right call. For cloud-heavy infra teams whose stack is mostly AWS / Azure / GCP plus a small set of SaaS — depth on the cloud integrations matters more than long-tail breadth. Drata or Secureframe are usually the better call. The wrong move is grading vendors purely on raw integration count without checking whether YOUR specific stack is on the list and how deep the pulls go.
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