Reciprocity ZenGRC
Core features include Evidence Automation, Policy Management, Control Mapping, Audit Workflow, Ve...
Core features include Automated Evidence Collection, Spark AI, Workflow Automation, Policy Management, Third-Party Risk Management, Controls Compliance, Reporting & Analytics, Risk Cloud Quantify, Value Realization Tool, No-Code Graph Database, Incident Response & Ticketing. Unique capabilities: Spark AI included at no additional cost across all applications, Value Realization tool for quantifying program financial impact, 30+ pre-built applications covering distinct GRC use cases, In-house GRC expert implementation team, Open FAIR model integration for risk quantification.
LogicGate Risk Cloud is a configurable, no-code GRC platform targeting enterprise organizations running multi-framework compliance programs at scale. It brings genuine depth in risk quantification, AI-assisted workflows, and a broad library of pre-built applications — but its pricing opacity, enterprise orientation, and implementation complexity make it a poor fit for a startup chasing its first SOC 2. If you're managing a mature, multi-framework program and need a platform that can flex across governance, risk, and audit simultaneously, it's worth a serious look.
LogicGate Risk Cloud sits in the upper tier of the GRC market — not the scrappy startup-compliance tools like Vanta or Drata, and not the legacy monoliths like Archer. It occupies a middle-enterprise space where organizations need real workflow configurability, cross-framework coverage, and risk quantification beyond a simple heat map. That positioning is both its strength and its limitation depending on who's buying.
The platform's most technically interesting capability is its risk quantification engine. LogicGate integrates the Open FAIR model and Monte Carlo simulation directly into the platform, and its Value Realization tool is designed to translate risk exposure into financial impact estimates. For a CISO trying to justify security investment to a CFO, that's a meaningful differentiator. Most compliance automation tools in the startup tier don't touch quantitative risk modeling at all — they stop at control status and audit evidence. LogicGate goes further, and that matters for organizations where risk decisions carry real dollar consequences.
The Spark AI layer, which LogicGate includes across all applications at no additional cost, handles AI-assisted task automation and reportedly extends into agentic capabilities under the Newton branding — meaning the system can autonomously execute certain GRC tasks rather than just surfacing recommendations. This is a more aggressive AI integration than most competitors have shipped. Whether the autonomous execution is mature enough to trust in a regulated environment is a question worth pressing in a demo, but the architectural ambition is real.
The pre-built application library covers 25-plus security and privacy frameworks, which on paper includes the frameworks most enterprise buyers care about — SOC 2, ISO 27001, NIST CSF, HIPAA, GDPR, and others. The no-code graph database underpinning the platform means relationships between controls, risks, policies, and evidence can be mapped without engineering involvement, which is genuinely useful when a compliance program spans multiple frameworks with overlapping control sets. A team managing SOC 2 Type II alongside ISO 27001:2022 and a NIST CSF program simultaneously would find the cross-mapping capability more useful than running three separate tools.
That said, the platform's depth comes with real implementation weight. LogicGate is not a tool you connect to AWS and GitHub on a Friday afternoon and have audit-ready evidence flowing by Monday. Onboarding for an enterprise deployment typically involves professional services engagement, workflow configuration, and a ramp period measured in weeks to months rather than days. For a seed-stage or Series A startup with a two-person engineering team trying to hit a SOC 2 Type I milestone before a customer deal closes, that overhead is a serious problem. The product is architected for organizations that have a dedicated GRC function, not a founder wearing the compliance hat.
On integrations: LogicGate offers API access and connects to a range of enterprise systems, but the native integration ecosystem for developer-centric startup tooling — AWS, GitHub, Okta, Google Workspace, Jira — is not as pre-built or frictionless as what Vanta or Drata ship out of the box. If your evidence collection strategy depends on automated pulls from cloud infrastructure and code repositories, verify the specific connectors and their depth before committing. The platform can likely accommodate these connections, but the configuration lift may be higher than you'd expect from a startup-oriented tool.
Pricing is entirely undisclosed. There is no published tier structure, no self-serve trial, and no pricing page — you book a call. For a startup founder doing vendor evaluation, that's a friction point and a signal about who the product is actually sold to. Enterprise procurement cycles with multi-stakeholder buying committees are the natural home here, not a founder with a credit card and a deadline.
Pricing is not published and requires a sales conversation to obtain. This alone signals the product is priced and sold for enterprise procurement cycles, not startup budgets — expect five-figure annual contracts at minimum.
LogicGate Risk Cloud is a capable, genuinely sophisticated GRC platform for enterprise teams running complex multi-framework programs — but it is the wrong tool for a startup getting to its first SOC 2. If that's your situation, look at Vanta, Drata, or Secureframe first.
Core features include Evidence Automation, Policy Management, Control Mapping, Audit Workflow, Ve...
Core features include Risk Management, Compliance Management, Policy Management, Third-Party Risk...
Core features include Control Implementation Tracking, Automated Evidence Collection, AI Policy G...