Director Commercial Customer Success

Cloud Combinator & Vanta partner for AI security on AWS. 2h ago · 0:00 listen · Source: EU-Startups Summary. Cloud Combinator has partnered with Vanta to offer AI security and compliance solutions for AWS startups. This collaboration aims to address the challenge of proving AI systems are secure and compliant from the start. Cloud Combinator, an AWS Advanced Tier Services Partner, specializes in data, AI, and machine learning. Vanta is an agentic trust platform. They are working together through the AWS BOX Program. The partnership focuses on AI security and compliance as a specialized discipline. Many teams need a partner to manage this, rather than hiring new staff. This is especially true with new regulations like the EU AI Act and ISO/IEC 42001 becoming global benchmarks. Cloud Combinator provides architecture and governance. Vanta offers an agentic trust platform that automates evidence collection and monitors controls on AWS. This joint solution helps startups gain expertise that was previously only available to large enterprises. The partnership covers the full AI compliance lifecycle, from scoping to audit-ready evidence. This allows AI startups to move from a working product to an enterprise contract more quickly. This is an AI-generated audio summary. Always check the original source for complete reporting.

Vanta, Drata, Secureframe, and Oneleet: how the fix-first model is different. An honest comparison of Vanta, Drata, Secureframe, and Oneleet. Each is genuinely good at what it does. None of them remediate findings, which is the one real gap Scadable is built to close. Vanta, Drata, Secureframe, and Oneleet are all real, well-built products, each genuinely good at parts of the compliance workflow. Vanta and Drata lead the category on breadth of frameworks and integrations, with large customer bases and mature self-serve motions. Secureframe competes at the same tier. Oneleet is the closest thing to a consolidated platform, combining AI risk review, code scanning, and pentest bundling. What none of the four do, by their own public product descriptions, is fix what they find. They identify a gap and hand it to a human to close. Scadable identifies the gap and closes it. That is not a knock on any of them. It is the honest shape of the category today, and it is worth naming plainly before making the one comparison that actually matters. What is Vanta actually good at? Vanta is the category leader by customer count, citing more than 16,000 customers and a dense wall of named logos across software companies. Its homepage leads with "trust," positions itself as an "Agentic Trust Platform," and backs that up with quantified time-saved metrics like thousands of hours saved annually and a large share of security questionnaires automated. Vanta's real strength is scale: broad framework coverage (SOC 2, ISO 27001, ISO 42001, GDPR, HIPAA, PCI DSS, FedRAMP, and more), a large integration catalog, and a self-serve-to-enterprise motion that has clearly worked for thousands of companies. If your need is broad, mature, self-serve coverage across many frameworks today, Vanta is a legitimate answer to that need. What is Drata actually good at? Drata sits at near feature parity with Vanta and uses almost identical language to describe itself, down to calling itself an "Agentic Trust Management Platform." It cites more than 8,500 customers and a 4.8 rating on G2, with its own metrics around audit-prep time reduction and hours saved annually. Like Vanta, Drata's strength is breadth: the same wide framework badge wall, a comparable integration footprint, and a product built for teams that want one dashboard covering everything from evidence collection to auditor-facing documentation. Drata's agentic layer automates evidence gathering and the paperwork that goes with it, which is a real and useful thing to automate well. What is Secureframe actually good at? Secureframe competes in the same tier as Vanta and Drata: evidence collection, continuous control monitoring, and audit-readiness workflows aimed at the same buyer. It is a known, credible option in this category for teams evaluating compliance automation platforms, and belongs in the same conversation as the other three. Its specific product depth is closer to Vanta and Drata's shape than to Oneleet's, built around the same evidence-and-monitoring core loop common to this category. What is Oneleet actually good at? Oneleet is the closest structural comparison to how Scadable is built: a single consolidated platform rather than a dashboard stitched to a separate audit process, combining AI-driven risk assessment, a code scanner, and pentest bundling in one place. It has real traction, a 4.9 rating on G2, more than 1,000 teams, and a $33 million Series A per public reporting. Oneleet's own homepage is also the most candid in the category about where its product stops: it describes its AI as reviewing evidence against control requirements and flagging issues. That is an honest, accurate description of what the tool does, and it is worth taking at face value rather than reading past it. Vanta, Drata, Secureframe, and Oneleet at a glance. | / | Genuine strength | Shared limitation | Scadable's approach | | Vanta | Largest customer base and logo density, deepest framework and integration breadth | Ends at a flagged gap list; remediation is manual | Identifies the gap and closes it | | Drata | Near-parity breadth with Vanta, strong G2 rating, mature agentic evidence automation | Automates the paperwork around a finding, not the fix | Writes the fix, not just the report | | Secureframe | Established, credible player in the same evidence-and-monitoring tier | Same category-wide pattern: evidence collection ends at a human handoff | Closes the finding inside the same pipeline that surfaced it | | Oneleet | Consolidated platform combining AI risk review, code scanning, and pentest referral | Own copy states it flags issues rather than fixing them | Reviews, fixes, and files, not just flags | What is the one real difference? Every one of these four platforms, by its own public positioning, ends at a list. Vanta and Drata's product loops are evidence collection, continuous monitoring, and questionnaire automation, all of which conclude with an open item for someone on your team to go close, in a pull request, a config change, or a Jira ticket outside the platform. Oneleet says this about itself directly: its AI reviews evidence against control requirements and flags issues. Flagging is genuinely useful. It is also, by every one of these four vendors' own description of their own product, where the automation stops. Scadable's product loop does not stop there. It identifies what needs to change, whether that is a missing control for SOC 2, a documentation gap under ISO 27001, or an actively exploited component across a device fleet under the Cyber Resilience Act, and then it writes the control, implements the configuration change, and closes the gap. The finding does not sit in a queue waiting for a human to get to it. That is the difference stated as plainly as it can be: they identify and flag, Scadable identifies and fixes. How does Scadable make sure its evidence can be trusted? Separately from the fix-versus-flag distinction, Scadable treats evidence integrity as a standing principle, not a feature. Every document and every approval Scadable generates lives in its own object storage, hashed, versioned, and write-once-read-many locked once finalized. Every document and approval carries a verification link. Nothing in that pipeline is a Google Doc that can be quietly edited after the fact. This matters because the entire value of compliance evidence is that it holds up to scrutiny months or years later, in front of an auditor or a regulator, exactly as it looked the day it was produced. Evidence that can be silently changed after the fact does not earn that trust, so Scadable's system is built so it cannot be. Frequently asked questions. What is the main difference between Scadable and Vanta, Drata, Secureframe, or Oneleet? All four collect evidence, monitor controls, and flag gaps for a human to close. Scadable closes the gap itself, writing the control, implementing the fix, and filing the report, not just producing a list of what is still open. Is Scadable a Vanta alternative? Scadable is a fix-first alternative for teams that want findings closed, not just flagged. If your priority is broad self-serve multi-framework coverage today across a large integration catalog, Vanta may genuinely be the better fit. If your priority is getting findings remediated, that is what Scadable is built around. Is Oneleet a good product? Yes. Oneleet is a well-built, consolidated platform bundling AI risk assessment, code scanning, and pentest referral, with real traction including a G2 rating of 4.9 and over 1,000 teams. Its own homepage copy describes its AI as reviewing evidence against control requirements and flagging issues, which is the same evidence-and-flag pattern shared across this category. Do Vanta, Drata, Secureframe, and Oneleet fix compliance and security findings automatically? No. All four are evidence-collection, monitoring, and questionnaire-automation platforms. Their product loops end with a list of open findings for a human to remediate, in a ticket, a pull request, or a spreadsheet, outside the platform itself. How does Scadable keep evidence trustworthy? Every document and approval Scadable generates lives in hashed, versioned, WORM-locked storage with a verification link. Once a piece of evidence is finalized it cannot be quietly edited, which matters because compliance evidence only has value if it holds up to scrutiny. Should I switch from Vanta or Drata to Scadable? That depends on what you actually need. If broad multi-framework self-serve coverage across a large number of integrations is your priority today, Vanta or Drata may be the right tool. If your findings keep piling up faster than your team can close them, Scadable is built specifically for that gap. Last reviewed: July 12, 2026. Where Scadable fits. Scadable is not trying to out-feature Vanta, Drata, Secureframe, or Oneleet on framework breadth or integration count. Breadth is table stakes at this point, any well-resourced team can build a wide badge wall and a long integrations list, and all four of these platforms already have. The differentiation is what happens after a gap is found: Scadable writes the fix and closes it, and every piece of evidence it produces is hashed, versioned, and verifiable on its own. If what you need today is broad, self-serve, multi-framework coverage across a mature integration catalog, one of the four platforms above may honestly be the right tool for that job. If what you need is for the findings to actually get closed instead of accumulating in a queue, that is what Scadable does. Book a call to see the fix-first model against your own stack.