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AIBA vs PreFlight

Bottom line

AIBA is paid, while PreFlight has a free plan plus paid upgrades. PreFlight is open source and AIBA is not. You can run PreFlight on your own machine or server; AIBA is hosted by the vendor.

Which one should you try?

AIBA

Paid

Best for Online community platforms requiring scalable moderation

PreFlight

Freemium

Best for Developers using AI coding tools

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

AIBA

AIBA

Amanda runs across four modules — real-time detection with automated enforcement, a case management layer where your team reviews flagged content, community trend reporting, and an audit trail for regulatory purposes. The modular design means you can deploy detection first and add the review workflow later, which shortens time to value for teams already mid-crisis. The free Tox Scan (a one-off audit against your own data, no integration required) gives you a concrete read on what your current setup is missing before you commit. Where Amanda gets constrained: the vendor page describes no API details and no self-hosted option, so teams with strict data residency requirements or who need custom upstream integrations are buying before they know the ceiling. The sales path is 'Book a Meeting' — there is no self-serve trial.

PreFlight

PreFlight

PreFlight installs via npm and runs as a pre-commit gate, scanning AI-generated code for security vulnerabilities in auth flows, database logic, and SQL patterns — then offering deterministic or AI-assisted patches inline. It integrates with VS Code, Cursor, and MCP clients, so the scan happens in the environment where the AI code was written. The free tier caps patches at ten, which is sufficient for evaluation but stops short of daily use on an active codebase. Teams that exceed that ceiling without a pro key lose the fix-application step and are left with scan output only. The repo is open-source and self-hosted, so the scan never phones home.

AttributeAIBAPreFlight
PricingPaidFreemium
Price—$19/mo
Pricing checkedNot checked yetJul 1, 2026
Free trialNot statedNot stated
Open sourceNoYes
Has APINoNo
Self-hosted optionNoYes
PlatformsOnline communities, Discord, games, social media, marketplaces, e-learningCLI, npm, VS Code, Cursor
Pros
  • Modular architecture lets you start with real-time detection and add case management or compliance tooling incrementally, so you avoid paying for a full platform build before you have validated what your team actually needs.
  • A dedicated human review workflow sits inside the same system as automated enforcement, which means your reviewers are not context-switching between a detection tool and a separate ticket system when a call requires human judgment.
  • DSA-oriented audit trail and compliance tooling is built into the platform — a paid-only feature set — so platforms under EU regulatory obligation do not need a separate compliance layer stitched onto their moderation stack.
  • The Discord moderation bot covers Discord communities directly, so gaming studios and developer platforms with active Discord servers get detection without a separate integration or manual export step.
  • Community trend reporting gives trust and safety leads visibility into pattern shifts across the platform, so escalating behavior gets flagged at the population level before individual incident counts become unmanageable.
  • Runs entirely locally with no cloud dependency for scanning, so code never leaves the machine during the security check — which matters for teams under data-residency or compliance constraints.
  • Pre-commit integration means vulnerabilities surface before they enter the repository rather than at PR review, so the team avoids the back-and-forth of post-commit security findings.
  • RLS and SQL safety checks are explicitly scoped, so the specific class of vulnerability that AI tools most often miss in database logic gets dedicated coverage rather than a generic lint pass.
  • MCP client support lets other tools and editor workflows invoke the scanner directly, so the security gate can be embedded in automated flows without requiring a separate manual step.
  • Open-source codebase allows teams to audit the scan rules themselves, so trust in the tool does not depend solely on vendor claims about what it detects.
Cons
  • No self-hosted option exists, so teams under strict data residency rules — healthcare-adjacent platforms, children's platforms in certain jurisdictions, or any organization with contractual requirements to keep community data on-premises — cannot deploy Amanda at all and will need to evaluate on-premises alternatives regardless of feature fit.
  • API details are absent from public documentation; teams that need to pipe Amanda's detections into existing data warehouses, custom dashboards, or internal tooling cannot assess integration depth before entering a sales conversation, which adds weeks to any technical evaluation.
  • There is no self-serve trial path beyond the one-off Tox Scan audit. Teams that need to run a proof-of-concept against live traffic — and have it complete within a sprint — face a bottleneck at the 'Book a Meeting' gate, and teams on that timeline tend to move to platforms with sandbox access instead.
  • The free tier caps patch application at ten — once that limit is hit, the tool continues to surface findings but stops applying fixes. A team using AI coding tools daily will exhaust this on a single feature branch, forcing a licensing decision before they have enough production signal to evaluate the tool's accuracy.
  • The scanner is scoped to auth, database, and SQL vulnerability classes. Teams that need coverage across a broader attack surface — dependency vulnerabilities, secret detection, SSRF, or injection beyond SQL — will need a separate tool running in parallel, which means maintaining two scan configurations and reconciling their output.
  • The project shows a single star and no forks on GitHub at the time of curation, with an open issue logged. Teams evaluating this against established SAST tools with large community rule sets and documented false-positive rates will find precious little external evidence of production use — which is the condition under which a security-conscious team switches to a competitor with a longer track record.

Made up your mind?

AIBA

Paid

Best for Online community platforms requiring scalable moderation

PreFlight

Freemium

Best for Developers using AI coding tools

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.