Runeward vs Sinewave Agent Security Scanner
Detailed side-by-side comparison to help you choose the right tool
Runeward
🔴Developersecurity
Governed execution cells for AI agents: declarative profiles provision isolated Docker or Kubernetes sandboxes with deny-by-default egress, policy gates, human approvals, guardrails, and a tamper-evident audit ledger.
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CustomSinewave Agent Security Scanner
🔴Developersecurity
An open-source, MIT-licensed security scanner — "npm audit for AI agents and MCP servers" — that audits code, MCP tools, prompts, skills, and AI-suggested dependencies over MCP or CLI.
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Runeward - Pros & Cons
Pros
- ✓Apache-2.0 licensed and self-hostable end to end, no vendor lock-in on the control plane
- ✓Every entry surface — REST, dashboard, CLI, MCP — funnels through the same policy pipeline
- ✓Signed hash-chained audit ledger is verifiable independently of Runeward, which matters for compliance
- ✓Native adapters for seven mainstream agent frameworks, so onboarding an existing agent is a small refactor
- ✓Cost guardrails (token, exec, wall-clock, egress) plus retry-loop detection catch runaway agent spend
Cons
- ✗Kubernetes backend brings real operational weight: CRDs, admission webhook, NetworkPolicy, PSA config
- ✗Policy authoring skill required — teams unfamiliar with CEL or OPA-Rego will face a learning curve
- ✗Pre-1.0 project without published SLAs; no commercial support tier listed on the site
- ✗Effectiveness depends on how tightly your declarative profiles are written; a permissive profile trivially undermines the guarantees
Sinewave Agent Security Scanner - Pros & Cons
Pros
- ✓MIT-licensed and fully open source — no vendor gating on higher-value features
- ✓MCP-first design lets the coding agent scan its own output without a human in the loop
- ✓Purpose-built for agent-specific failure modes: prompt injection, hallucinated packages, tool spoofing
- ✓Claimed 97.7% benchmark precision, with 120 auto-fix templates to close the loop from detection to remediation
- ✓Lightweight @prooflayer variant is a viable pre-commit or CI check when the full scanner is too heavy
Cons
- ✗Precision claim (97.7%) is self-reported on the vendor's own benchmark, not an independent evaluation
- ✗Full scanner requires Python plus the AST toolchain — heavier install than a pure JS pre-commit hook
- ✗Auto-fixes are template-based; complex vulnerabilities may need human review after the rewrite
- ✗Rule coverage is language-broad but you should still verify depth for your specific stack
- ✗MCP server auditing scores are only as good as the point-in-time snapshot — a compliant server can still rug-pull on a later run
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