8 Best Enterprise OpenClaw Options for 2026

The best enterprise OpenClaw options for 2026 are governed AI agent platforms that deliver OpenClaw's autonomy (reasoning over company data, taking actions, building artifacts) while replacing its ambient-authority privilege model with sandboxed execution, scoped credentials, and tamper-evident audit trails. After 135,000+ exposed OpenClaw instances, CVE-2026-25253 (CVSS 8.8), and the ClawHavoc supply-chain campaign, most CISOs are no longer asking whether to ban OpenClaw. They are asking what to deploy instead.

This guide ranks the eight strongest options based on the CLAW-10 Enterprise Readiness Matrix, current 2026 pricing, deployment flexibility, and observed enterprise adoption. The list spans an open-source self-hosted platform (Onyx with Onyx Craft), three hyperscaler suites (Microsoft, Google, OpenAI), two purpose-built agent platforms (Salesforce, Anthropic), an NVIDIA-backed OpenClaw fork (NemoClaw), and an autonomous coding agent (Cognition Devin).

TL;DR: Onyx Craft is the strongest pick for security-led teams that want OpenClaw's "build me a working app from company data" experience inside a sandboxed, self-hostable, MIT-licensed platform that is in production today. Microsoft, Google, and OpenAI dominate inside their own ecosystems. NVIDIA NemoClaw is a credible open-source OpenClaw fork for teams that want to bet on Nemotron and OpenShell, but is in early preview and not production-ready. Anthropic's Claude Cowork is the lowest-friction path for teams already standardized on Claude. Salesforce Agentforce fits CRM-led workloads. Cognition Devin is the closest direct replacement for OpenClaw's autonomous-coding surface area.

What Is an Enterprise OpenClaw Option?

An enterprise OpenClaw option is an AI agent platform that meets six baseline controls: SSO/SAML/OIDC identity, role-based access control with scoped task credentials, sandboxed or VM-isolated execution, permission-aware data access, tamper-evident audit logging, and a verified extension supply chain. These six controls map directly to the OWASP Top 10 for Agentic Applications 2026, which 100+ industry experts published as the threat taxonomy for autonomous AI systems.

OpenClaw scores 1.2 / 5 on the CLAW-10 matrix and fails all six controls in its default configuration. Every option below scores meaningfully higher on at least four CLAW-10 dimensions and is in production at one or more named enterprise customers as of May 2026.

What to Look for in an Enterprise OpenClaw Alternative

Choose against these seven criteria before evaluating any individual platform:

The 8 Best Enterprise OpenClaw Options for 2026

Comparison Table

Pricing reflects publicly disclosed rates as of May 2026 from each vendor's pricing page and verified third-party reporting. Sales-led prices vary by deal size.

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1. Onyx + Onyx Craft

Best for: Engineering, security, and IT leaders who need OpenClaw's "build a working app from my company's data" experience inside a sandboxed, MIT-licensed, self-hostable platform, especially in regulated industries.

Onyx is an open-source enterprise AI platform that combines permission-aware enterprise search across 40+ connectors, AI chat, custom agents, and deep research. Onyx Craft, released in 2026, extends Onyx with a sandboxed AI coding agent that turns indexed company knowledge into working web apps, dashboards, documents, and presentations from a conversation. Each Craft session runs in an isolated VM or Kubernetes pod with no S3 access, no access to other sandboxes, and no access to internal services. LLM API keys are passed as environment variables rather than written to disk. Indexed documents are mounted read-only.

This is the architectural inverse of OpenClaw. Where OpenClaw runs with the host user's full credentials and writes API keys to plaintext files, Craft runs in an ephemeral pod with scoped, env-var-only secrets and read-only data access. Where OpenClaw's skill marketplace accepted unsigned packages from one-week-old GitHub accounts, Craft's skill model is org-scoped with admin-controlled secret provisioning and full action logging.

Onyx ships with SOC 2 Type II, GDPR compliance, SSO via OIDC/SAML (Okta, Entra ID, AWS IAM), SCIM, RBAC, and full audit trails. The platform is in production at Ramp (30-50x ROI, 93% auto-resolution rate), Thales (1,400 MAU across 82,000 employees), Astranis (fully inside their network), L3Harris, and UC San Diego (37,000+ users, fully air-gapped on local GPUs).

Strengths:

• True self-hosting, including ITAR, FedRAMP, CMMC, FERPA, and EU sovereign deployments
• Open-source MIT core (29,000+ GitHub stars), so your security team can audit exactly what runs in your environment
• 40+ permission-aware connectors with real-time ACL sync, so an agent answer can never include a doc the user could not open in the source system
• Model-agnostic across 100+ LLMs via LiteLLM, including local models on Ollama and vLLM, so you can swap models without re-architecting
• Onyx Craft sandboxes are pod-isolated with no cross-tenant access and S3 snapshot resumability
• Free community edition; managed cloud from $20/user/month annual; enterprise pricing via sales

Limitations:

• Self-hosting requires Docker Compose or Kubernetes operational skill
• Some enterprise features (advanced SCIM, white-label, dedicated support) are reserved for the paid tier

CLAW-10 estimate: 4.4 / 5 (vs. OpenClaw's 1.2). Strong on identity, sandboxing, audit, supply chain, and vendor support; full marks on data isolation when self-hosted.

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2. OpenAI Workspace Agents (ChatGPT Enterprise)

Best for: Teams already standardized on OpenAI who want governed agents inside ChatGPT without operating their own infrastructure.

OpenAI Workspace Agents, announced April 22, 2026, are Codex-powered agents that run continuously in OpenAI's cloud and plug directly into Slack, Salesforce, Microsoft 365, Google Drive, and dozens of other enterprise systems. They replace Custom GPTs as ChatGPT's automation primitive and are designed to run autonomously, on schedules, without human prompting. Workspace Agents inherit ChatGPT Enterprise's tenant isolation, SOC 2 Type II, ISO 27001, HIPAA BAAs, and SSO/SCIM controls.

ChatGPT Enterprise pricing in 2026 starts at approximately $60 per user per month, requires a 150-seat minimum, and includes GPT-5.5 access, audit logs, and data residency in 10+ regions. Workspace Agents themselves are in research preview through May 6, 2026, then move to credit-based pricing per agent action.

Strengths:

• Best-in-class LLM quality (GPT-5.5) and agent capability surface
• Strong enterprise security certifications and tenant isolation
• Native connector to Microsoft 365, Slack, Salesforce, Google Workspace, GitHub, and 30+ others
• 92% Fortune 500 brand familiarity reduces internal change-management cost

Limitations:

• Cloud-only; no self-hosting or air-gap option
• Locked to OpenAI models
• 150-seat minimum makes it expensive for mid-market (~$108K/year floor)
• Permissions inherit from source systems, so SharePoint or Drive oversharing propagates to agent answers
• Credit-based agent pricing creates budget unpredictability common to consumption AI tools

CLAW-10 estimate: 3.9 / 5. Strong on identity, audit, supply chain, and vendor support; weak on data isolation (cloud-only, no air-gap) and model flexibility.

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3. Microsoft Copilot Studio + Agent 365

Best for: Organizations already paying for Microsoft 365 who want governed agents grounded in Microsoft Graph data.

Microsoft Copilot Studio lets admins build agents on top of Microsoft Graph with 1,400+ Power Platform connectors, RBAC via Microsoft Entra ID, and tenant audit through Microsoft Purview. In 2026 Microsoft added Agent 365, a dedicated agent governance plane priced at $15/user/month at general availability May 1, 2026, or bundled into the new Microsoft 365 E7 suite at $99/user/month. Microsoft also released the open-source Agent Governance Toolkit (MIT licensed) that addresses all 10 OWASP Agentic Top 10 risks with sub-millisecond policy enforcement.

Copilot Studio agents are billed in Copilot Credits at $200 per 25,000-credit pack, which replaces the prior message-based meter. Total cost stack for an end user can reach $42-99/user/month depending on M365 license tier and whether Agent 365 and Copilot are added.

Strengths:

• Deepest integration with Word, Excel, PowerPoint, Outlook, and Teams
• Mature enterprise identity (Entra ID), audit (Purview), and DLP (Defender)
• 1,400+ Power Platform connectors and Graph grounding across the M365 tenant
• Agent Governance Toolkit is the only major-vendor MIT-licensed toolkit covering all 10 OWASP risks

Limitations:

• Answer quality remains a documented concern: only 3% of Gartner respondents reported "significant value" from M365 Copilot in 2025
• Cloud-only; optimized for Microsoft ecosystem
• Cross-stack reach (Slack, Drive, GitHub, Jira) is poorly supported relative to Onyx or other cross-platform alternatives
• Consumption-based agent billing creates budget risk; Gartner forecasts 40% of enterprises using consumption-priced AI tooling will exceed twice their budget by 2027

CLAW-10 estimate: 3.8 / 5. Strong on identity, audit, vendor support; moderate on sandboxing and model flexibility (Microsoft now offers Anthropic Claude inside Copilot, but model choice remains limited).

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4. Google Gemini Enterprise Agent Platform (formerly Agentspace)

Best for: Google Workspace and Google Cloud customers consolidating around Gemini.

At Google Cloud Next 2026, Google rebranded Vertex AI to the Gemini Enterprise Agent Platform and absorbed Agentspace into a unified Gemini Enterprise product. The platform offers Agent Studio (low-code), Agent Development Kit (code-first), 200+ models via Model Garden including Gemini 3.1 Pro and Anthropic's Claude family, and a re-engineered Agent Runtime that supports long-running stateful agents backed by Memory Bank.

The standout governance feature is Agent Identity: every agent receives a unique cryptographic ID, and every action is mapped to predefined authorization policies, creating an auditable per-action trail. Model Armor provides runtime protection against prompt injection, tool poisoning, and sensitive data leakage. Identity flows through Google Cloud IAM with VPC Service Controls and CMEK for data isolation.

Strengths:

• Tight Workspace integration and native Gemini multimodal capabilities
• Cryptographic per-agent identity with auditable action trail
• 200+ models in Model Garden, including third-party Anthropic models
• Cloud IAM, VPC Service Controls, CMEK-encrypted data, and FedRAMP High coverage in govt regions

Limitations:

• Cloud-only; no on-prem or air-gap option
• Pricing is private and bundled with Workspace and Vertex AI commitments
• Extension model is more curated than open
• Best results require committing to Gemini and Workspace as primary stack

CLAW-10 estimate: 4.0 / 5. Strong on identity (Agent Identity is the most advanced cryptographic agent ID in this list), audit, and supply chain; weaker on data isolation when buyers need air-gap.

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5. Anthropic Claude Cowork + Managed Agents

Best for: Teams standardized on Anthropic's Claude who want governed long-running agents without building their own runtime.

Claude Cowork became generally available on Team and Enterprise plans in early 2026 and now functions as Anthropic's enterprise agent surface. Claude Managed Agents, launched April 2026, is the underlying cloud service that handles sandboxing, orchestration, and governance. Anthropic added SCIM-based group management, custom roles, group spend limits, OpenTelemetry observability, and per-MCP-action restrictions (e.g., allow read but disable write on a connector). Claude Code 2.1.76 (March 2026) added Dispatch, scheduled tasks, background agents with worktree isolation, and remote control via web or phone.

The vast majority of Cowork usage now comes from non-engineering functions: operations, marketing, finance, and legal teams using it for project updates, decks, and research. Anthropic explicitly positions Cowork as "true enterprise-grade" with admin controls comparable to Microsoft and Google's offerings.

Strengths:

• Strong reasoning and writing quality, especially with Claude Opus and Sonnet
• Real per-action MCP authorization (read vs. write toggles)
• Group spend limits address consumption-billing risk
• Available via direct Anthropic, AWS Bedrock, or Google Vertex for vendor diversity

Limitations:

• Cloud-only on direct Anthropic; air-gap requires routing through AWS Bedrock or GCP Vertex with local model substitution, which loses Claude
• Smaller third-party connector library than Microsoft or Google
• Locked to Claude models for the managed-agent runtime

CLAW-10 estimate: 3.9 / 5. Strong on identity, audit, vendor support, and supply chain; weak on full self-hosting.

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6. NVIDIA NemoClaw

Best for: Teams that want an OpenClaw-compatible runtime backed by a tier-one infrastructure vendor, with the option to run NVIDIA Nemotron locally for data residency.

NemoClaw is NVIDIA's enterprise-grade fork of OpenClaw, announced at GTC 2026 and available in early preview from March 16, 2026. It runs on NVIDIA OpenShell, which enforces policy-based privacy and security guardrails: identity boundaries, capability scoping, and data-handling rules that the underlying OpenClaw runtime never had. NemoClaw is model-agnostic and can run any coding agent against models from OpenAI, Anthropic, or NVIDIA's own Nemotron family, which runs locally for teams that want to avoid cloud exposure entirely.

The trade-off is maturity. NVIDIA's own preview documentation states the software is not yet production-ready, and there is no public commercial pricing as of May 2026. Enterprise licensing is expected via the NVIDIA AI Enterprise SKU, and on-premises deployments will require NVIDIA-certified hardware to run Nemotron locally at scale.

Strengths:

• Direct OpenClaw compatibility, so existing OpenClaw skills and workflows port over
• Open-source and self-hostable on customer-controlled hardware
• Local Nemotron inference closes the data-exfiltration vector that is the core OpenClaw concern
• Backed by NVIDIA's AI Enterprise support, certifications, and hardware ecosystem
• Model-agnostic: OpenAI, Anthropic, and Nemotron all supported

Limitations:

• Early preview, explicitly not production-ready per NVIDIA's own documentation as of May 2026
• No public list pricing; commercial terms tied to NVIDIA AI Enterprise contracts
• Local-inference path requires NVIDIA-certified GPUs (H100, GB200, or newer)
• Connector breadth is inherited from OpenClaw, which is narrower than dedicated enterprise-search platforms

CLAW-10 estimate: 3.6 / 5 today, with a credible path to 4.0+ once GA. Strong on data isolation (local Nemotron) and supply chain (NVIDIA-signed releases); audit and vendor-support scores depend on AI Enterprise contract terms. Pilot, do not deploy to production data, until NVIDIA marks the runtime stable.

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7. Salesforce Agentforce

Best for: Sales, service, and revenue-operations teams whose data lives primarily in Salesforce.

Salesforce Agentforce puts agents on top of CRM, Service Cloud, and Data Cloud objects with the same row-level security as Salesforce itself. As of 2026, Salesforce runs three pricing models simultaneously: $2 per conversation for customer-facing agents, Flex Credits at ~$500 per 100K credits ($0.10 per action), and per-user licensing at $125-150/user/month for unlimited Agentforce, with Agentforce 1 Editions starting at $550/user/month. The conversation model is best for high-volume customer service. The per-user model is best for predictable internal workflows. Flex Credits split the difference.

Agentforce inherits Salesforce's mature governance: profiles, permission sets, sharing rules, field-level security, and Shield audit logging. For RevOps and customer-service-led use cases, this is the most rigid governance model in the list because the agent literally cannot bypass platform-enforced row-level security.

Strengths:

• Native to Salesforce permissions, sharing rules, audit, and Shield
• Three pricing models accommodate different use cases
• Strong fit for service automation, sales coaching, and CRM workflows
• 150,000+ Trailblazer admins already trained on Salesforce platform controls

Limitations:

• Salesforce-centric: ingesting non-Salesforce data requires Data Cloud connectors and additional licensing
• No public source code; agent extensibility limited to Salesforce-approved patterns
• Three pricing models create real complexity for procurement
• Per-conversation pricing can compound quickly at high volume

CLAW-10 estimate: 3.9 / 5. Strong on identity, permissions, audit, vendor support; weaker on cross-stack data and model flexibility.

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8. Cognition Devin

Best for: Engineering teams that want OpenClaw's autonomous-coding surface area without the security disasters.

Cognition Devin is an autonomous AI software engineer that plans, writes, and ships code with minimal supervision. It is the closest functional replacement for OpenClaw's autonomous-coding workflows. In 2026 Cognition cut Devin's price from $500 to $20 per month for the Core plan, with Team at $500/month including 250 Agent Compute Units (ACUs) and Enterprise plans offering VPC deployment, custom Devins, and advanced security controls. Usage is metered at $2.25 per ACU.

For enterprise readiness, Devin Enterprise offers VPC deployment (the closest thing to self-hosting in this list outside Onyx), SAML SSO, audit logs, and custom data-residency controls. Cognition is in talks to raise at a $25B valuation as of April 2026, suggesting durable vendor accountability.

Strengths:

• Direct functional replacement for OpenClaw's coding-agent workflows
• Cheapest entry point for individuals and small teams ($20/month Core)
• Enterprise plan supports VPC deployment with customer-managed network boundary
• Mature autonomous-task surface area (multi-day tasks, repository-scale changes)

Limitations:

• Narrower than OpenClaw and the other options on this list: Devin is a coding agent, not a general-purpose agent
• ACU consumption pricing can spike on long-running tasks
• Enterprise pricing is custom, often six- or seven-figure annual contracts
• No public source code; limited extensibility outside coding workflows

CLAW-10 estimate: 3.7 / 5. Strong on identity, sandboxing (per-task VMs), audit, and vendor support; weaker on supply chain transparency (no public source code) and model flexibility.

Recommended Stack by Situation

How to Choose: A 5-Question Decision Tree

Use this sequence rather than a feature checklist:

1. Is self-hosting required? If yes (regulated industry, sovereign data, ITAR/FedRAMP/CMMC), the realistic options are Onyx + Onyx Craft (most flexible) or Devin Enterprise VPC (coding only). Everything else is cloud-only.
2. Is your stack 80%+ inside one ecosystem? If yes, the in-suite option (Microsoft, Google, Salesforce) reduces friction even at the cost of cross-stack reach.
3. What is the dominant LLM provider you trust? OpenAI: Workspace Agents. Anthropic: Claude Cowork. Multi-provider: Onyx, Google Gemini Enterprise (200+ models), or Bedrock.
4. Is the use case agent-builds-app or agent-takes-action? "Build me a working dashboard from this data" is Onyx Craft, Devin, or Manus territory. "Run an SDR sequence" is Workspace Agents, Copilot Studio, or Agentforce.
5. What is your annual budget per seat? Under $25: Onyx (free CE or $20 cloud) or NemoClaw preview (free, NVIDIA hardware costs apply). $30-60: Microsoft Copilot, ChatGPT Enterprise. $125-550: Salesforce per-user Agentforce. Devin: $20-500 + ACU.

Recommendation

For most enterprises evaluating an OpenClaw replacement in 2026, Onyx with Onyx Craft is the strongest default. It is the only option in this list that combines an open-source MIT codebase, true self-hosted and air-gapped deployment, permission-aware enterprise search, sandboxed agentic execution (the architectural inverse of OpenClaw's ambient authority), and SOC 2 Type II at a price point well below ChatGPT Enterprise and Salesforce Agentforce 1, while shipping in production today (rather than in early preview). It is in production at Ramp, Thales, Astranis, L3Harris, and UC San Diego.

If your organization is fully committed to a single vendor stack, the in-suite option (Microsoft Copilot Studio with Agent 365, Salesforce Agentforce, Google Gemini Enterprise, Anthropic Claude Cowork, or OpenAI Workspace Agents) will deploy faster than any cross-stack platform. If your use case is autonomous coding specifically, Devin Enterprise is the closest replacement for OpenClaw's coding-agent surface area. If you are willing to pilot rather than deploy to production, NemoClaw is worth tracking as the OpenClaw-compatible runtime most likely to mature into an enterprise default.

Whichever option you select, evaluate it against the CLAW-10 matrix and the OWASP Top 10 for Agentic Applications 2026 before any production rollout. The dimensions that mattered for OpenClaw, identity, sandboxing, audit, supply chain, and vendor support, matter for every option above.

Frequently Asked Questions

What is the best enterprise alternative to OpenClaw in 2026?

Onyx with Onyx Craft is the strongest enterprise alternative to OpenClaw for most teams. It is open-source MIT, self-hostable (including air-gapped), runs each agent session in an isolated Kubernetes pod with no host or cross-tenant access, and ships with SOC 2 Type II, GDPR compliance, SSO, RBAC, and audit logging. Onyx is in production at Ramp, Thales, Astranis, L3Harris, and UC San Diego (37,000 air-gapped users). Pricing starts at free for the community edition or $20/user/month for managed cloud.

Is OpenClaw safe to use in an enterprise environment?

OpenClaw is not safe in its default configuration. Public security audits document 40,000+ exposed instances, 63% vulnerable deployments, 512 known vulnerabilities including CVE-2026-25253 (CVSS 8.8), and a supply-chain campaign that planted 1,184 malicious skills. Microsoft, Google, Meta, and Amazon have banned OpenClaw on corporate hardware. Enterprise use requires either replacement with a governed platform or significant compensating controls (isolated VM, dedicated non-privileged credentials, network segmentation).

How does Onyx Craft compare to OpenClaw?

Onyx Craft is the architectural inverse of OpenClaw. OpenClaw runs as the host user with full credentials, writes API keys to plaintext at ~/.clawdbot/.env, and accepts unsigned skills from the public marketplace. Onyx Craft runs each session in an isolated Kubernetes pod with no S3 access, no access to other sandboxes, no access to internal services, env-var-only secrets, read-only document mounts, and admin-controlled skill provisioning. Both are open-source. Both produce working artifacts (apps, dashboards, docs) from company knowledge. Only Onyx Craft does it inside an enterprise security boundary.

What is the cheapest enterprise OpenClaw alternative?

The cheapest enterprise OpenClaw alternatives in 2026 are: Onyx Community Edition (free, self-hosted, MIT), NVIDIA NemoClaw early preview (free software; NVIDIA-certified hardware costs apply for local Nemotron), Cognition Devin Core ($20/month per developer for individual coding tasks), Onyx Cloud ($20/user/month annual), and Microsoft Copilot Studio ($30/user/month if M365 is already licensed). ChatGPT Enterprise (~$60/user/month with 150-seat minimum) and Salesforce Agentforce 1 ($550/user/month) are the most expensive options on this list.

Which enterprise OpenClaw alternative supports air-gapped deployment?

Onyx with Onyx Craft is the only platform on this list that supports fully air-gapped deployment with enterprise connectors, sandboxed agents, and BYO local LLMs. UC San Diego runs Onyx air-gapped on local GPUs for 37,000+ users. Astranis runs it 100% inside their own network. The platform is deployed in production in ITAR, FedRAMP, CMMC, FERPA, and GDPR-regulated environments. Cognition Devin Enterprise offers a VPC deployment option, but the runtime still calls home for orchestration. All other platforms in this list are cloud-only.

What is the OWASP Top 10 for Agentic Applications, and why does it matter for OpenClaw alternatives?

The OWASP Top 10 for Agentic Applications 2026 is a peer-reviewed framework, developed by 100+ industry experts, that identifies the most critical security risks for autonomous AI systems. Three of the top four risks (Agent Goal Hijack, Tool Misuse & Exploitation, Identity & Privilege Abuse) trace directly to ambient authority, the architectural problem at the heart of OpenClaw. An enterprise OpenClaw alternative must address all 10 risks. Microsoft's Agent Governance Toolkit (MIT licensed) is the first open-source toolkit covering all 10. Onyx, Microsoft, Google, and Anthropic platforms also map their controls to the OWASP framework.

How is Microsoft Agent 365 different from Microsoft Copilot Studio?

Microsoft Agent 365 is a governance plane that sits on top of agents, including those built in Copilot Studio. Agent 365 launches at $15/user/month on May 1, 2026 and is bundled in the new M365 E7 suite at $99/user/month. Copilot Studio is the agent-building tool itself, billed in Copilot Credits at $200 per 25,000-credit pack. Both are required for full enterprise deployment in a Microsoft-only stack: Studio to build, Agent 365 to govern.

What is Anthropic Claude Cowork, and how does it relate to OpenClaw replacement?

Claude Cowork is Anthropic's enterprise agent surface, generally available on Team and Enterprise plans, with Claude Managed Agents as the underlying cloud sandbox. Cowork supports SCIM-based group management, custom roles, group spend limits, OpenTelemetry observability, and per-MCP-action restrictions (read-only vs. read-write toggles). The vast majority of Cowork usage now comes from non-engineering functions (operations, marketing, finance, legal), suggesting it has succeeded as a knowledge-worker agent rather than a developer tool. It is the lowest-friction path for teams already standardized on Claude.

Is NVIDIA NemoClaw production-ready in 2026?

NVIDIA NemoClaw is in early preview as of March 16, 2026, and NVIDIA's own documentation states the software is not yet production-ready. NemoClaw is a credible long-term option because it pairs the OpenClaw runtime with NVIDIA OpenShell policy enforcement and the option to run Nemotron locally for data residency, which closes the data-exfiltration vector at the heart of OpenClaw's security failures. In May 2026 the right move is to pilot NemoClaw on non-sensitive data while running an enterprise-ready platform like Onyx in production, then reassess once NVIDIA marks the runtime stable.

Should I keep OpenClaw and add a security layer instead of replacing it?

Adding a security layer (e.g., Crittora's cryptographic policy enforcement or Runlayer's managed runtime) closes the most acute ambient-authority and detection gaps but does not provide SOC 2 attestation, vendor SLAs, a curated supply chain, or a roadmap commitment. Treat overlay solutions as a containment strategy while migrating to a governed platform, not a destination.