Exogram vs Panguard.AI

Exogram and Panguard.AI 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.

Exogram

Exogram is an execution governance layer that intercepts AI agent actions — payments, database writes, customer emails, record updates — and applies a policy decision before anything hits your infrastructure. The vendor describes a four-way enforcement decision: allow, deny, escalate, or log. Policy rules are checked at runtime, not after the fact, which means a $25,000 invoice approval blocked against a $1,000 limit never reaches your payment system. The immutable audit trail is positioned for SOC 2, HIPAA, and financial compliance workflows. The tool is not itself an agent runner — it assumes you already have an agent; it governs what that agent is allowed to touch.

Panguard.AI

Panguard installs in one command, runs entirely offline with zero telemetry, and auto-detects agents across a wide surface — Claude Code, Cursor, VS Code Copilot, Gemini CLI, and more. The vendor states 768 ATR (Agent Threat Rules) execute locally as deterministic checks before any skill loads, then continue guarding each action at runtime against prompt injection and poisoned MCP tools. Rules contributed anywhere benefit every adopter — the vendor describes this as 'threat crystallization.' The ceiling appears when a threat is genuinely novel: deterministic rules only catch what someone has already seen and codified, so the AI analysis fallback carries the weight for zero-day patterns. Teams with regulated environments get signed, audit-ready output without routing data to a third party.

Attribute	Exogram	Panguard.AI
Pricing	Paid	Free
Free trial	No	No
Open source	No	Yes
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	SaaS, Cloud	Linux, macOS (via shell install)
Released	2025-05	—
Pros	Runtime policy enforcement at the tool-call boundary, so unauthorized payments and database mutations are blocked before they execute rather than flagged after the damage is done. Four-way enforcement decisions — allow, deny, escalate, log — which means regulated workflows get a human review step without building a custom approval queue on top of your agent stack. Immutable audit logs positioned for SOC 2 and HIPAA compliance, so teams in regulated industries have a defensible record of every action an agent attempted and what decision was returned. Pre-built integrations with LangChain, CrewAI, AutoGen, Vercel AI SDK, and LlamaIndex, so teams already running these frameworks add a governance layer without rewriting their agent code. An open protocol spec (EAAP) published as RFC-0001, so teams who need to audit, extend, or independently verify the governance model are not working against a black-box contract.	One-command offline install with zero telemetry, which means teams in air-gapped or regulated environments get runtime protection without routing agent traffic through a third-party service. 768 deterministic ATR rules execute locally in milliseconds, so security checks add no meaningful latency to skill loading and produce consistent, reproducible results rather than probabilistic LLM verdicts. Community threat corpus with upstream merges from Cisco and Microsoft, which means a rule written against an attack anywhere in the ecosystem closes the same gap for your agents without your team having to discover the threat independently. Signed, audit-ready output generated locally, so compliance reviews have a tamper-evident evidence trail without exporting agent behavior data to a vendor. Auto-detects a broad set of agent environments — Claude Code, Cursor, VS Code Copilot, Gemini CLI, and more — so teams running heterogeneous tooling do not need per-environment configuration to get baseline coverage.
Cons	Exogram governs actions but does not orchestrate agents — teams that need branching logic, memory, or coordination between multiple agents still maintain a separate orchestration layer, which means adding Exogram adds a second system to debug when an escalation fires unexpectedly. No self-hosted deployment option is described on the vendor page, which means teams whose compliance requirements mandate on-premises data residency — common in financial services and healthcare — cannot use Exogram without routing agent traffic through external infrastructure; those teams move to building policy enforcement into their own API gateway instead. The tool launched in approximately May 2025, so production case studies at scale are not yet publicly available; teams evaluating for high-volume payment workflows are working from architecture documentation and demos rather than documented incident records from comparable deployments.	Deterministic rules only catch threats someone has already seen and codified: a novel prompt injection technique or a newly poisoned MCP tool with no prior CVE or ATR entry passes the rule layer clean. The AI analysis fallback carries that burden, but teams whose threat model is dominated by zero-day or highly targeted attacks are betting on a layer with no published recall figures for unseen patterns. No API and no hosted option, which means security checks cannot be integrated into a CI pipeline or a centralized policy enforcement layer without scripting around the CLI directly — teams that need programmatic gate control in their build system end up writing and maintaining that wrapper themselves. Private, organization-specific tooling generates attack surfaces the community corpus will never describe. Teams building internal MCP servers with custom business logic will need to author their own ATR rules, and the docs describe a review-and-merge pipeline optimized for community contribution — not private rule management at scale. At the point where a team is maintaining a significant private rule library on top of the public corpus, the operational model starts to resemble a full detection engineering practice, and teams with that capacity often move toward purpose-built security platforms that offer rule management, alerting, and incident workflows.

Bottom line

Exogram is paid while Panguard.AI is free; Panguard.AI is open source; only Exogram exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Exogram and Panguard.AI?

Exogram is Paid, while Panguard.AI is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Exogram better than Panguard.AI?

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.