Ai Bom
Trusera's ai-bom discovers, catalogs, and governs every AI agent, model, and pipeline running across your enterprise infrastructure.
Trusera's discovery layer is real, installable, and open source today, and the Trial tier is genuinely free forever with 5 scans and 3 seats. Buy it if shadow AI is a live audit problem — the CLI's agent fingerprinting plus CycloneDX/SARIF export slots into an existing DevSecOps pipeline in under 5 minutes. Don't buy it for the Service Mesh unless you're comfortable funding a roadmap, because mTLS agent-to-agent enforcement is still labeled Coming Soon. Budget $499/mo (billed monthly, or 20% less annually) for Growth if you need SSO, SCIM, or EU AI Act and OWASP compliance reports. Cloud CSPMs like Wiz don't model AI agents, and a manual audit won't scale — but if you have no agents
Verified 3d ago · liveness 73/100 · cite: rightaichoice.com/tools/ai-bom
- CISOs who need a real-time shadow AI inventory before an EU AI Act audit
- DevSecOps teams adding AI component scanning to an existing SAST/DAST pipeline
- Compliance officers producing AI Bills of Materials for EU AI Act or OWASP obligations
- Platform engineers governing multi-cloud agent deployments from one control plane
- Teams with no AI agents deployed — the scanner reports on infrastructure that exists
- Buyers who require mTLS agent-to-agent enforcement today; the Service Mesh is still coming soon
- Anyone avoiding CLI and policy-as-code setup; this is not a no-code security tool
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
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3 free scans · no card needed
Skip Trusera if you need production-ready mTLS agent-to-agent enforcement today (the Service Mesh is Coming Soon) or if you have no AI agents running yet — the scanner only reports on infrastructure that actually exists.
Exceeding 500K API calls/month on Growth triggers a 429 response — you'll get an 80% usage email alert, then need to upgrade or buy additional capacity. Existing data is preserved when you do.
Trial is genuinely free forever (no credit card), which undercuts most AI-governance vendors who gate evaluation behind sales. Growth at $499/mo billed monthly — or 20% less annually — sits above generic CSPM tools but below enterprise AI-governance suites from big security vendors, and Trusera adds the AI-agent modeling they lack. Startups under $5M funding and OSS projects get 50% off Growth ($249.50/mo billed monthly). Enterprise is custom-priced.
In short
Ai Bom — Trusera's ai-bom discovers, catalogs, and governs every AI agent, model, and pipeline running across your enterprise infrastructure. Best for CISOs who need a real-time shadow AI inventory before an EU AI Act audit, DevSecOps teams adding AI component scanning to an existing SAST/DAST pipeline, Compliance officers producing AI Bills of Materials for EU AI Act or OWASP obligations. Free to start; paid plans from $499/mo.
What people actually say about Ai Bom — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
43 mentions across 5 sources (Hacker News, YouTube, Stack Overflow, GitHub, Lemmy) · researched Aug 29, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Open-source core (Apache 2.0) — fully auditable and no data leaves your env.
- +Single pip install integration into CI/CD pipelines.
- +Finds shadow AI agents, models, and API keys across codebase and n8n.
- +Generates compliance reports mapped to EU AI Act, NIST, OWASP, ISO.
- +Integrates with GitHub, n8n, Zapier, and Open Policy Agent.
- −Policy engine is early access — not production-ready yet.
- −Service mesh for mTLS and traffic shaping is only 'coming soon'.
- −No hands-on tutorials exist — onboarding can be challenging.
- −Coverage of all agent frameworks and MCP servers is still maturing.
- −Community is small (316 stars), so limited third-party support.
- • No pricing details publicly available — exact costs not shared in community data.
- • Policy and mesh features may require paid plan or early access.
Viability Score
How well maintained and how widely used is Ai Bom? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI agent discovery and cataloging via AI Bill of Materials (AI-BOM)
- Shadow AI detection using agent fingerprinting and classification
- Real-time inventory dashboard for agents, models, and pipelines
- AI-BOM CLI installable via pip, runs locally, Apache 2.0 licensed
- CI/CD pipeline integration with scheduled and custom scan profiles
- SDK interception for Python, JavaScript, and Go
- CycloneDX and SARIF export for toolchain interoperability
- Policy-as-code built on Open Policy Agent (Policy Engine, early access)
- Agent trust scoring and attestation for runtime risk decisions
- Compliance reports for EU AI Act Article 53, OWASP LLM Top 10, and OWASP Agentic Security
- Webhook delivery plus n8n and Zapier integration nodes
- Cedar policy engine for Enterprise policy enforcement
- Agent kill switch to terminate rogue agents (Enterprise)
- SSO / OIDC and SCIM provisioning (Growth and Enterprise)
- mTLS-encrypted agent-to-agent communication, traffic shaping and mesh observability (Agentic Service Mesh, coming soon)
About Ai Bom
Trusera is trust infrastructure for teams whose AI agents run in places nobody can name. The core product, ai-bom, installs with a single `pip install ai-bom`, runs locally so scans never ship source out of your environment, and scans repos, containers, and cloud scopes using agent fingerprinting and shadow AI classification. Results land in a real-time inventory dashboard that answers 'what AI is actually running here?' before an auditor asks. The open-source CLI is Apache 2.0 licensed and outputs table and JSON on the free Trial tier, with CycloneDX and SARIF export, CI/CD integration, scheduled scans, and custom scan profiles on paid plans. Trusera ships three layers: AI-BOM Discovery (available now), a Policy Engine built on Open Policy Agent in early access (declarative policy-as-code, trust scoring and attestation, audit trail), and an Agentic Service Mesh labeled Coming Soon (mTLS-encrypted agent-to-agent channels, traffic shaping, observability, multi-cloud federation). It is vendor-neutral by design and secures connections across Azure, GCP, AWS, and Anthropic rather than competing with your model providers. It's built for CISOs, DevSecOps engineers, compliance officers, and platform engineers staring down EU AI Act Article 53, OWASP LLM Top 10, NIST AI RMF, or ISO 42001 obligations. The practical comparison is a manual spreadsheet audit or a cloud CSPM with no concept of an AI agent.
Behind the Verdict
Trusera's pitch is unusually concrete for the AI-governance category: it ships an actual `pip install ai-bom` CLI under Apache 2.0, runs the scan locally so source never leaves your environment, and produces CycloneDX and SARIF output that drops into the AppSec tooling you already run. That combination — free open-source scanner plus a paid inventory and compliance layer — is the strongest part of the product. The Trial tier is free forever (no credit card) with 5 scans/month, 3 team members, and 1,000 API calls/month, which is enough for a single team to prove the workflow before committing. The growth path is priced at $499/month billed monthly, or 20% less on annual billing, and unlocks unlimited scans, 25 seats, 500K API calls, SSO/OIDC, SCIM, SDK interception for Python/JS/Go, CycloneDX + SARIF export, and the EU AI Act / OWASP LLM Top 10 compliance reports. That is the tier most security teams will land on. Enterprise is custom-priced and adds Cedar policy engine, agent kill switch, mesh observability, custom compliance frameworks (OWASP ASI, NIST AI RMF, ISO 42001), on-prem/VPC deployment, custom domain, SOC 2 Type II, and a dedicated CSM. The honest caveats: the Policy Engine is in early access, and the Agentic Service Mesh — the piece that actually enforces mTLS between agents — is still labeled Coming Soon. So the end-state story of 'zero-trust mesh for the agent economy' is a roadmap, not a shipping product. What is shipping is the discovery and compliance layer, and that is worth paying for if you have real agent sprawl. If you have zero agents deployed, the scanner reports on empty infrastructure and there is nothing to buy.
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Real-world workflow fit
Concrete scenarios for the personas Ai Bom actually fits — and what changes day-one when you adopt it.
Adds `pip install ai-bom` to the CI pipeline, runs a scan on the main repo, and exports CycloneDX output into the existing SAST/DAST dashboard.
Outcome: First AI-BOM is produced in under 5 minutes; the team can now see shadow AI agents and unencrypted agent traffic on every PR.
Deploys the CLI against repos, containers, and cloud scopes, then generates Article 53-mapped compliance reports from the Growth tier's inventory dashboard.
Outcome: A current AI inventory replaces a six-month-old spreadsheet; Article 53 documentation is generated rather than assembled manually.
Uses the Enterprise Cedar policy engine and custom frameworks to enforce OWASP ASI, NIST AI RMF, and ISO 42001 controls, with on-prem VPC deployment so no source leaves the perimeter.
Outcome: Custom internal frameworks are enforceable in policy-as-code with an audit trail, and the agent kill switch can terminate a rogue agent.
Use Cases
- Discover every AI agent, model, and pipeline running in your infrastructure automatically
- Detect shadow AI deployments that bypass IT and security teams
- Generate EU AI Act compliance reports mapped to Article 53 obligations
- Add AI security scanning to a CI/CD pipeline with a single pip install
- Enforce agent-to-agent trust policies using Open Policy Agent policy-as-code
- Audit agent interactions through a real-time inventory dashboard
- Export AI component inventories as CycloneDX or SARIF into existing AppSec tooling
- Intercept Python, JS, or Go SDK calls to catalog agents that don't self-register
Limitations
- The Trial plan is capped at 5 scans per month, 3 team members, and 1,000 API calls per month, with AI-BOM CLI as open source and community (GitHub) support only.
- Growth is $499/month billed monthly (20% off annually) and caps at 25 team members and 500K API calls per month, while Enterprise is custom-priced with unlimited scans, team members, and API calls.
- The Policy Engine is in early access and the Agentic Service Mesh (mTLS agent-to-agent communication, mesh observability) is listed as 'coming soon', so neither is fully generally available today.
- The blog currently shows no posts, so there is limited published content beyond the main site.
as of 2026-10-09
Verification history
We have re-verified Ai Bom 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Ai Bom tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Trial
Free forever
Ideal for
Solo developer or 3-person security team exploring AI-BOM discovery before committing — free forever, no credit card, 5 scans/month.
What this tier adds
Starting tier — free entry point with AI-BOM CLI, table + JSON output, and community GitHub support.
Growth
$499/mo billed monthly (20% off annually)
Ideal for
A security team of up to 25 governing AI products and needing SSO, SCIM, SDK interception, and EU AI Act / OWASP compliance reports.
What this tier adds
Adds unlimited scans, 500K API calls/month, CycloneDX + SARIF export, SSO/OIDC, SCIM, SDK interception (Python/JS/Go), EU AI Act + OWASP reports, and priority email support. $499/mo billed monthly, 20% off annually.
Enterprise
Custom
Ideal for
Regulated organizations with custom frameworks (NIST AI RMF, ISO 42001, OWASP ASI) that need on-prem or VPC deployment and a dedicated CSM.
What this tier adds
Adds unlimited team members and API calls, custom compliance frameworks, Cedar policy engine, agent kill switch, mesh observability, custom domain, dedicated SLA/CSM, and on-prem/VPC deployment. Custom pricing.
Where the pricing makes sense
The company stage and team size where Ai Bom's pricing actually pencils out — and where peers do it cheaper.
Trial is genuinely free forever (no credit card), which undercuts most AI-governance vendors who gate evaluation behind sales. Growth at $499/mo billed monthly — or 20% less annually — sits above generic CSPM tools but below enterprise AI-governance suites from big security vendors, and Trusera adds the AI-agent modeling they lack. Startups under $5M funding and OSS projects get 50% off Growth ($249.50/mo billed monthly). Enterprise is custom-priced.
Setup time & first value
How long it actually takes to get something useful out of Ai Bom — broken out by persona, not the marketing-page minute.
Trial: minutes — `pip install ai-bom` and a first local scan complete before a coffee refill. DevSecOps CI/CD integration: under 5 minutes per Trusera's own docs. Growth adds SSO/OIDC and SCIM, typically a half-day of IT work. Enterprise on-prem/VPC deployment and custom compliance frameworks run on the vendor's onboarding schedule with a dedicated CSM.
Switching to or from Ai Bom
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a manual spreadsheet audit: replace the stale inventory by running `pip install ai-bom` against your repos, containers, and cloud scopes, then let the dashboard stay current automatically.
- →From a cloud CSPM like Wiz: keep Wiz for cloud posture and add Trusera alongside it, because CSPMs don't model AI agents or produce AI Bills of Materials.
- →From per-team ad-hoc scripts: consolidate into the AI-BOM CLI with scheduled scans and CI/CD integration so every pipeline emits the same CycloneDX/SARIF shape.
- →From no AI governance at all: start on the free Trial (5 scans/month, 3 seats) to prove coverage before upgrading to Growth for unlimited scans.
- ↗To a manual audit: export the AI-BOM as CycloneDX or SARIF and maintain it by hand — viable only at very small scale before it goes stale.
- ↗To a generic CSPM: move cloud posture checks to the CSPM, accepting that AI agent discovery and AI Bill of Materials generation are lost.
- ↗To an in-house scanner: fork the Apache 2.0 AI-BOM CLI and run it yourself, trading the paid inventory dashboard, compliance reports, and support for full DIY control.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Ai Bom”, and we withheld 6: 6 could not be judged, because “Ai Bom” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Ai Bom.
Official links
Tools that pair well with Ai Bom
Common stack mates teams adopt alongside Ai Bom, with the specific reason each pairing earns its keep.
Fiddler AI
Fiddler AI is an enterprise AI control plane for agent observability, inline guardrails, and auditable AI governance.
Mindgard
Mindgard automates AI red teaming — agent-native reconnaissance, exploit validation, and continuous AI security testing for production AI
Iris.ai
Iris.ai builds an auditable AI knowledge layer so regulated teams can defend every answer in an audit.
Featured Head-to-Head Comparisons
Ai Bom vs Push Security
Choose Push Security if your primary concern is browser-originated attacks (AiTM, session hijacking) and governing employee AI tool usage in real time. Choose Ai Bom if you need a developer-oriented platform to discover, catalog, and enforce policies on AI agents and models across your CI/CD pipeline and runtime, especially for EU AI Act compliance.
Ai Bom vs Audioeye
These tools serve fundamentally different purposes: Ai Bom governs AI agents and ensures trust in autonomous systems, while AudioEye automates web accessibility compliance. Choose Ai Bom if you are a CISO or DevSecOps team needing to discover and secure shadow AI. Choose AudioEye if you are an enterprise facing ADA/WCAG compliance requirements or lawsuits.
Ai Bom vs Temporal Ai
Temporal AI and Ai Bom are not direct competitors: Temporal excels at building reliable AI agents and workflows with durable execution, while Ai Bom focuses on security and governance of existing AI agents. Choose Temporal if you need to create robust, fault-tolerant AI agents; choose Ai Bom if you're a security leader needing visibility and compliance for AI agents across your enterprise.
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Frequently Asked Questions
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