Alternatives

Products that do what Causal Safety Engine does

A causal safety layer for validating AI agent actions

1
Causal Safety Engine▲1
AI that prefers silence over unsafe decisions
Jan 2026 · github.com
2
Spectate▲273
Monitor, alert & manage incidents - supercharged by A.I.
2023
3
Shieldstral▲104
Define safety at runtime for text and images
Aug 2026 · mistral.ai
4
Open AI o3 API▲141
Advanced reasoning models with safety-first innovation.
2024
5
Agent-101-safety-layer▲1
A practical guide to building safety layers for AI agents
22d ago · krishhna7.gumroad.com
6
Spec27▲34
Spec-driven testing for AI agents and AI apps
Apr 2026 · spec27.ai
7
Scan your AI agents for dangerous capabilities▲44
Open-source security gateway & static scanner for AI agents. Enforce role-based access control (RBAC), human-in-the-loop approvals, segregation of duties, and cryptographically signed, offline-verifiable audit logs. - makerchecker/MakerChecker
Jul 2026 · github.com
8
Implement-spec – a harness-agnostic spec-to-verified-PR agent skill▲12
Research-grounded, harness-agnostic skills for AI coding agents - SteveVitali/agent-skills
Aug 2026 · github.com
9
Sentinel AI▲3
Spot Risky AI Behavior Before It Ships
Jun 2026 · sentinelaihq.com
10
Fact0▲18
The universal fact layer for AI agents
Jun 2026 · fact0.io
11AO
Agent Orchestrator, a local-first Harness Engineering control plane▲15
I have spent a long time working in an XP/TDD style, so when AI coding tools became useful enough for real work, I adopted them quickly. The first bottleneck I hit was not code generation, it was verification: AI could write code and tests quickly, but I was still the person reviewing implementations, clicking through flows, checking logs, inspecting database state, and deciding whether the result was actually correct. That pushed me to move validation further left. Before implementation, AI had to produce test plans. After implementation, it had to execute those plans too: drive the…
Mar 2026
12
MicroSafe-RL▲2
Adaptive control system for safe engine startup
Apr 2026 · github.com
13
Rupt 3▲14
Fraud & abuse prevention for modern companies.
Jul 2026 · rupt.dev
14
A firewall, governance tool for AI agent▲2
blocks multi-step tool-call chains that leak data
Jun 2026 · github.com
15
DocLayer▲1
Engineering contract layer & safety harness for AI agents
6d ago · github.com
16
Verdicter▲4
Firewall for AI Agents
Jun 2026 · verdicter.dev
17
AgentFirewall▲3
Project AI agents from unsafe actions before they execute.
27d ago · agentfirewall.launchreadyal.com
18
Skeptick AI — Agent Integrity Layer™▲2
Monitor, govern, and trust every AI agent decision
May 2026 · skeptick.ai
19
Relay Security▲1
Block dangerous AI agent actions before execution
Jul 2026 · relay-security-lemon.vercel.app
20
SafeScale▲6
The AI Governance & Compliance Platform
Sep 2025
21
AgentShield▲5
A safety shield. One-click rollback when AI goes crazy.
Jan 2026 · github.com
22CB
CVE-Bench, the first LLM benchmark using real-world web vulnerabilities▲6
AI agents now have impressive reasoning capabilities. This raises an important question: how dangerous are these AI agents at identifying & exploiting web vulnerabilities? We created CVE-bench to find out (I'm one contributor of 16). To our knowledge CVE-bench is the first benchmark using real-world web vulnerabilities to evaluate AI agents' cyberattack capabilities. We included 40 CVEs from NIST's database, focusing on critical-severity vulnerability (CVSS > 9.0). To properly evaluate agents’ attacks, we built isolated environments with containerization and identified 8 common attack…
2025 · github.com
23
SafeClaw by Authensor▲2
Your AI agent does nothing without your say-so.
Feb 2026 · authensor.github.io
24
Certus▲7
Liability insurance for AI agents. One line of code
Mar 2026 · getcertus.org

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