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ASL V6 vs Exogram

ASL V6 and Exogram 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.

ASL V6

ASL V6

ASL V6 combines AST-based static analysis with Docker-isolated runtime verification to find and confirm exploitable vulnerabilities in AI agent frameworks before they ship. The dual-layer approach means a finding isn't just flagged — it's verified in a sandboxed execution environment, which cuts the false-positive rate that burns security team time. It runs entirely offline with no external API calls, so sensitive proprietary code never leaves your machine. The ceiling appears quickly on non-Python codebases and on teams that need ticketing integrations or cloud-native CI pipelines baked in rather than assembled by hand.

Exogram

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.

AttributeASL V6Exogram
PricingFreePaid
Free trialNoNo
Open sourceYesNo
Has APINoYes
Self-hosted optionYesNo
PlatformsLinux, macOS, Windows (with Docker)SaaS, Cloud
Released2025-05
Pros
  • AST static analysis paired with Docker runtime verification confirms exploitability before surfacing a finding, so your team spends time fixing real vulnerabilities rather than triaging false positives.
  • 100% local execution with no external API calls, which means auditing proprietary or pre-release AI code without the legal and compliance risk of sending source to a third-party service.
  • Remediation patch generation alongside confirmed findings, so developers receive an actionable fix rather than a vulnerability description they have to decode into a code change.
  • MIT license with self-hosted deployment, so security teams can run it inside air-gapped environments or modify detection rules to match their specific AI framework stack without vendor approval.
  • Detection rules derived from confirmed, disclosed CVEs in production AI systems (AutoGPT, FlowiseAI), which means the tool targets attack patterns that have already caused real damage rather than theoretical edge cases.
  • 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.
Cons
  • Coverage is scoped entirely to Python — teams auditing AI systems with Node.js tool-calling layers, Go-based infrastructure, or polyglot agent frameworks get no static or dynamic analysis for the non-Python surface, and there is no documented path to extend language support without forking the project.
  • Docker is a hard runtime dependency for the dynamic verification layer; teams in environments where Docker is restricted by policy (common in enterprise security tooling reviews) lose the exploit-confirmation step entirely and fall back to static-only output, which is where false positives return.
  • There is no native integration with vulnerability management platforms, ticketing systems, or SIEM pipelines — teams that need findings routed into Jira, Defect Dojo, or Splunk build that plumbing themselves, and when the integration maintenance cost grows, teams with existing platform investments switch to commercial SAST tools that ship those connectors out of the box.
  • 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.
Bottom line

ASL V6 is free while Exogram is paid; ASL V6 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 ASL V6 and Exogram?

ASL V6 is Free and open source, while Exogram is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is ASL V6 better than Exogram?

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.

ASL V6 vs Exogram: which should I pick?

Pick ASL V6 if its pricing model, openness, or platform fit matches your constraints; pick Exogram 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.