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Declaw vs SigmaShake

Declaw and SigmaShake are both guardrails & safety tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Declaw

Declaw

Each agent execution runs inside a hardware-isolated microVM with a warm-pool restore measured in milliseconds. Outbound traffic passes through a per-sandbox proxy the agent cannot bypass, enforced at both L3/L4 and L7 — so if your allowlist says api.openai.com only, evil.com gets blocked and logged automatically. The credential vault injects secrets at the proxy layer, meaning API keys never enter the VM itself. Where Declaw shows its limits: there is no self-hosted option, so teams in air-gapped environments or with data-residency requirements that preclude third-party cloud infrastructure hit a hard wall. Those teams look at building their own Firecracker wrapper.

SigmaShake

SigmaShake

SigmaShake intercepts tool calls from agents running in Claude Code, Cursor, VS Code Copilot, and Gemini CLI, evaluating each action against a rule set before it executes. The vendor states decisions resolve in roughly 85 ms using deterministic native evaluation — no model inference, no GPU, no token spend. Rules follow an Allow/Ask/Deny pattern, where Ask routes the action to a human approval queue rather than blunting everything with a hard block. The desktop app installs in about 30 seconds with no admin rights; the CLI drops into any shell or CI hook chain. Self-hosting is supported, which means the guardrail layer stays offline and never sends your code or commands to a third-party model.

AttributeDeclawSigmaShake
PricingPaidPaid
Price$5/mo
Free trialNoNo
Open sourceNoNo
Has APIYesNo
Self-hosted optionNoYes
PlatformsWindows 10+, macOS 14+, Linux (Ubuntu 22.04+ / Fedora 38+ / Pop!_OS)
Pros
  • All security primitives — network policy, PII redaction, credential vault, and audit log — share the same execution context inside one SDK, so there are no integration gaps between vendors where an injection or exfiltration can slip through unlogged.
  • Credentials are injected at the egress proxy rather than passed into the VM, which means a compromised agent process cannot read the raw API key even if it tries.
  • L7 domain and SNI filtering with wildcard and regex matching lets you define exactly which external endpoints an agent is allowed to reach, so a prompt injection that tries to POST to an attacker-controlled domain is blocked and audited rather than silently succeeding.
  • Snapshot and pause/resume support lets you freeze idle agents and stop paying for compute mid-task, which matters for long-running workflows where billing otherwise accumulates during wait states.
  • Drop-in compatibility with OpenAI, Anthropic, LangChain, and CrewAI means existing agent code runs inside the sandbox without a rewrite, so the migration cost is measured in configuration rather than refactoring.
  • Deterministic local evaluation at roughly 85 ms per check, so you avoid the latency and per-token cost of routing every agent action through a model-based policy guard.
  • Ask mode holds a risky action in a human approval queue rather than blocking it outright, which means your agent keeps moving on safe tasks while you review the one call that needs a second look.
  • PreToolUse hook integration for Claude Code and MCP server integration for Cursor, Codex, and VS Code Copilot, so the guardrail wires into agents your team is already running without a custom shim.
  • Self-hosted deployment with no model inference, so your code, file paths, and shell commands never leave the machine — critical for teams with data-handling obligations.
  • Per-user install with no admin or UAC rights required, which means individual developers can adopt it without waiting for IT to sign off on an organization-wide rollout.
Cons
  • There is no self-hosted deployment option — every agent execution and its outbound traffic passes through Declaw's cloud infrastructure. Teams with data-residency requirements or compliance mandates that prohibit third-party traffic inspection hit this wall immediately; those teams typically end up building a custom Firecracker wrapper with open-source guardrails libraries rather than adopting Declaw.
  • The audit log and guardrail features are only as useful as the policies you define upfront — the docs describe allowlist-based network control, meaning any allowed domain your agent abuses (for example, an attacker using a permitted API as an exfiltration relay) passes through without detection. Teams handling adversarial inputs at scale need to layer additional behavioral monitoring on top, adding back some of the complexity Declaw was meant to eliminate.
  • No API is exposed, so teams building custom agent runtimes or embedding safety checks inside their own orchestration code cannot call SigmaShake programmatically — they wrap the CLI binary, which introduces a process boundary and complicates error handling at scale.
  • The SHAKEDOWN benchmark that positions SigmaShake as the top-ranked guardrail was authored by SigmaShake, and competitor scores were modeled from public docs rather than measured runs; teams doing their own evaluation should run independent tests before treating the benchmark as a neutral comparison.
  • Fleet management and team-level policy enforcement are paid-only features, which means a free-tier team cannot centrally audit what rules individual developers are running — a gap that matters the moment more than one engineer is using an AI coding agent on shared infrastructure.
  • Windows support is the primary release target based on page emphasis and download prominence; macOS and Linux builds are listed but community reports on edge cases outside Windows are sparse, so teams running heterogeneous developer environments should validate on non-Windows machines before committing.
Bottom line

Only Declaw exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Declaw and SigmaShake?

Declaw is Paid, while SigmaShake is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Declaw better than SigmaShake?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Declaw vs SigmaShake: which should I pick?

Pick Declaw if its pricing model, openness, or platform fit matches your constraints; pick SigmaShake otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.