episki Autonomous GRC vs Sprinto
Quick answer
episki Autonomous GRC (AI Orchestration agents for policies, questionnaires, vendors and evidence) (episki (episki, llc)) and Sprinto (Sprinto) are both listed in the Compliance category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
episki Autonomous GRC (AI Orchestration agents for policies, questionnaires, vendors and evidence) (episki (episki, llc)) and Sprinto (Sprinto) are both listed in the Compliance category of Agent Index. They share no framework tags in our dataset. Only Sprinto is tagged for SOC 2, ISO 27001, HIPAA.
| Field |  episki Autonomous GRC (AI Orchestration agents for policies, questionnaires, vendors and evidence) |  Sprinto |
|---|---|---|
| Vendor | episki (episki, llc) | Sprinto |
| HQ | United States · North America | India · India |
| Primary category | Compliance | Compliance |
| Also listed in | Compliance, Risk | Compliance |
| Summary | A GRC platform built around agents that draft policies, answer inbound security questionnaires, review vendors' SOC 2 and CAIQ responses, map controls, assess risks and write deterministic evidence-collection recipes. Every plan, step-run and sensitive action goes through human approvals and safety floors. Pricing is published. | Autonomous Trust Platform with governed AI agents that detect change across systems, vendors, access and AI use, then refresh evidence, run vendor due diligence, prepare audits and close control gaps, with humans approving material decisions. |
| Frameworks (vendor-stated) | — | SOC 2, ISO 27001, HIPAA |
| Frameworks (vendor-claimed) | SOC 2, ISO 27001, PCI DSS, CMMC, HIPAA, ISO 42001, NIST AI RMF, EU AI Act | SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, ISO 42001 |
| Capabilities / tasks | policy management, questionnaire automation, vendor risk, evidence collection, control mapping, risk assessment, trust center | evidence collection, control monitoring, policy management, vendor risk, questionnaire automation, trust center, audit management, ai governance |
| Integrations (vendor-listed) | Not recorded in this dataset yet | AWS, Azure, Microsoft 365 / Entra |
| Pricing (as published) | Published on episki.com/pricing: Compliance Platform $7,500/year (required base); modules Risk Management +$4,800/year, Third-Party Risk Management +$6,000/year, Trust +$7,200/year, AI Governance +$6,000/year; EU/Canada data residency +$6,000/year; shared AI token pool with overage at $0.50 per 1K tokens. Users, frameworks and vendors unlimited. | AWS Marketplace: Starter Platform $7,500/year (up to 100 employees) plus first compliance framework from $2,000/year (combined entry often cited as $9,500/year). |
| Pricing model | published-tiers | annual-contract |
| Primary source | https://episki.com/product/ai | https://sprinto.com/ |
| Last checked | 2026-10-19 | 2026-10-20 |
| Official site | https://episki.com/product/ai | https://sprinto.com/ |
FAQ (from this dataset)
What is the difference between episki Autonomous GRC and Sprinto?
Both are listed under Compliance. Shared tasks: policy-management, questionnaire-automation, vendor-risk, evidence-collection, trust-center. episki Autonomous GRC-only tasks: control-mapping, risk-assessment. Sprinto-only tasks: control-monitoring, audit-management, ai-governance. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
episki Autonomous GRC (AI Orchestration agents for policies, questionnaires, vendors and evidence): Published on episki.com/pricing: Compliance Platform $7,500/year (required base); modules Risk Management +$4,800/year, Third-Party Risk Management +$6,000/year, Trust +$7,200/year, AI Governance +$6,000/year; EU/Canada data residency +$6,000/year; shared AI token pool with overage at $0.50 per 1K tokens. Users, frameworks and vendors unlimited. Sprinto: AWS Marketplace: Starter Platform $7,500/year (up to 100 employees) plus first compliance framework from $2,000/year (combined entry often cited as $9,500/year).
Where are episki Autonomous GRC and Sprinto headquartered?
episki Autonomous GRC (AI Orchestration agents for policies, questionnaires, vendors and evidence) publishes HQ in United States. Sprinto publishes HQ in India.
Also in this use case
Other verified listings that share a task tag or use-case group with episki Autonomous GRC (AI Orchestration agents for policies, questionnaires, vendors and evidence) or Sprinto. Open a pair page or the use-case table — this is not a ranking.
- Covasant TPRM (agentic third-party risk management) — Third-party risk product from Hyderabad-headquartered Covasant. Purpose-built AI agents onboard vendors through due-diligence workflows, chase vendors who are slow to respond, keep watching news, sanctions and financial data, and, when risk thresholds break, open remediation workflows, track vendor responses, escalate unresolved issues and produce DORA, SOX and NIST reporting packages.
- noze CyberAgent (AI agent for continuous attack-surface monitoring, automated validation pentesting and NIS2 evidence) — Italian agent for mid-sized companies and NIS2 entities without an in-house SOC: after verifying domain control it continuously discovers assets and assesses network, web apps and APIs, correlates findings with EPSS and CISA KEV, confirms exploitability with automated validation pentests, ranks risks by business impact and prepares NIS2, DORA and ISO 27001 reports; the team decides what to fix.
- trail Governance Agents (GRC and AI governance agents) — Munich-based trail's Governance Agents run GRC busywork in the background: they read your project files and sources to collect and link evidence, assess controls, classify systems, run risk and vendor assessments and draft policies, proposing changes that a human approves before anything is written. · trail Governance Agents (GRC and AI governance agents) pair comparison
Use-case comparisons
- TPRM and vendor-risk AI agents — 40 listings (Third-party risk, vendor assessments, security ratings and questionnaire automation)
- AI governance agents and platforms — 11 listings (AI inventory, risk assessment, policy and runtime controls for AI systems and agents)
Related
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