Agentic Governance Compare

EDITION 2026.10 · SIX PLATFORMS · EIGHT CRITERIA

AI governance platforms compared: from written policy to enforced control

In brief

On our published weights, Pillar Security leads with 6.88, followed by Alice and Credo AI. The split that matters is between platforms that start with an inventory of your AI and platforms that start by enforcing a policy on live traffic: the inventory-first tools win discovery and third-party registers, the enforcement-first tools win runtime control and test evidence.

By The Charter Desk, Agentic Governance Compare · Published 2026-10-01 · Vendor pages read 1 October 2026 · Editorial assessment

§ 1 What is an AI governance platform supposed to produce?

A governance program for AI apps and agents needs four things for each rule it writes: the policy itself, a control that enforces it, evidence that the control worked, and a report an auditor or regulator can read. Many tools cover the first and the last. Fewer document the control and the evidence in between. We score six platforms on how much of that chain each one documents on its public pages, read on 1 October 2026.

Control map: Pillar Security

  1. 1 Policy

    Policy: what the rule says

    Policy enforcement covers approved model lists and data sovereignty.

  2. 2 Control

    Control: what enforces it

    Runtime guardrails block prompt injection, jailbreaking and tool manipulation and mask PII, PHI and secrets.

  3. 3 Evidence

    Evidence: what proves it worked

    Every prompt, response and tool call is logged; the RedGraph engine runs multi-turn agentic red teaming with transcripts.

  4. 4 Report

    Report: what an auditor receives

    Pillar says it generates audit-ready reports for GDPR, the EU AI Act, ISO 42001 and SOC.

Control map: Alice

  1. 1 Policy

    Policy: what the rule says

    Policies are configured to the customer's application: WonderFence is 'Built for Your Policies' and the platform lists adaptive and custom policies.

  2. 2 Control

    Control: what enforces it

    WonderFence sits between external-facing AI and its users and intercepts harmful, non-compliant and off-policy responses in real time.

  3. 3 Evidence

    Evidence: what proves it worked

    WonderBuild runs thousands of adversarial tests based on custom policies before launch; WonderCheck retests after launch with drift and regression detection; every WonderFence decision is logged.

  4. 4 Report

    Report: what an auditor receives

    WonderFence maps guardrails to the EU AI Act, ISO 42001, NIST, MITRE ATLAS and OWASP; WonderBuild maps test documentation to regulatory requirements and tracks launch readiness.

Control map: Credo AI

  1. 1 Policy

    Policy: what the rule says

    A Knowledge Graph of regulatory intelligence informs policies; Credo AI describes enforcing policy across agents, models and apps.

  2. 2 Control

    Control: what enforces it

    Not described

    Runtime blocking of prompts or responses is not described on the pages reviewed.

  3. 3 Evidence

    Evidence: what proves it worked

    Assess and monitor steps are described across agents, models and apps.

  4. 4 Report

    Report: what an auditor receives

    Reporting against the EU AI Act, NIST and ISO is described, alongside a Third-party AI Registry.

See all six control maps

§ 2 How do the six platforms rank?

AI governance platforms ranked on the published weights, scored 0 to 10 per criterion.
RankPlatformInventory · 12Enforce · 18Evidence · 16Frameworks · 14Expertise · 10Third-party · 10Coverage · 10Pricing · 10Total
01Pillar SecurityPillar platform899948316.88
02AliceWonderSuite (WonderBuild, WonderFence, WonderCheck)299871916.22
03Credo AICredo AI governance platform94491010216.00
04SPLXSPLX platform (part of Zscaler)778722665.96
05LassoLasso platform888823215.60
06Holistic AIHolistic AI governance platform956943215.20
Show the reason for every score

Pillar Security total 6.88

  • AI discovery and inventory 8/10

    AI Discovery & Posture is one of four platform pillars, and third-party AI discovery is listed on the governance page.

    Source: Pillar Security home page · read 2026-10-01

  • Policy to runtime enforcement 9/10

    Runtime guardrails block prompt injection, jailbreaking and tool manipulation and mask PII, PHI and secrets; policies cover approved model lists and data sovereignty.

    Source: Pillar Security runtime guardrails page · read 2026-10-01

  • Testing evidence 9/10

    The RedGraph engine runs multi-turn agentic red teaming with transcripts, and guardrails calibrate from red teaming findings.

    Source: Pillar Security red teaming page · read 2026-10-01

  • Framework mapping and audit-ready reports 9/10

    Pillar says it generates audit-ready reports for GDPR, the EU AI Act, ISO 42001 and SOC, and maps findings to OWASP and MITRE ATLAS.

    Source: Pillar Security governance and compliance page · read 2026-10-01

  • Regulatory intelligence and expert support 4/10

    Pillar publishes its own SAIL 2.0 framework; a regulatory intelligence feed or managed expert service is not described.

    Source: Pillar Security home page · read 2026-10-01

  • Third-party AI governance 8/10

    Third-party AI discovery is listed, and red teaming covers third-party and SaaS AI.

    Source: Pillar Security red teaming page · read 2026-10-01

  • Languages and modalities 3/10

    Language and modality coverage is not described on the pages reviewed.

    Source: Pillar Security runtime guardrails page · read 2026-10-01

  • Pricing and trial transparency 1/10

    Pricing is not published.

    Source: Pillar Security home page · read 2026-10-01

Alice total 6.22

  • AI discovery and inventory 2/10

    No AI discovery or inventory feature is described on the WonderSuite pages reviewed; Centralized Governance covers the apps WonderFence protects.

    Source: Alice WonderFence product page · read 2026-10-01

  • Policy to runtime enforcement 9/10

    WonderFence intercepts harmful, non-compliant and off-policy responses between external-facing AI and users, configured to the application's own policies.

    Source: Alice WonderFence product page · read 2026-10-01

  • Testing evidence 9/10

    WonderBuild tests before launch from custom policies and WonderCheck retests in production with drift and regression detection; findings flow into WonderFence or back to WonderBuild.

    Source: Alice WonderCheck product page · read 2026-10-01

  • Framework mapping and audit-ready reports 8/10

    Guardrails are mapped to the EU AI Act, ISO 42001, NIST, MITRE ATLAS and OWASP and every decision is logged; a named audit report product is not described.

    Source: Alice WonderFence product page · read 2026-10-01

  • Regulatory intelligence and expert support 7/10

    The platform combines automated testing with expert-led red teaming, and WonderBuild offers managed red teaming; a regulatory intelligence feed is not described.

    Source: Alice WonderSuite platform page · read 2026-10-01

  • Third-party AI governance 1/10

    No registry or assessment of third-party or vendor AI is described on the pages reviewed.

    Source: Alice WonderSuite platform page · read 2026-10-01

  • Languages and modalities 9/10

    The platform page lists coverage in 100+ languages, multimodal support and model-agnostic protection.

    Source: Alice WonderSuite platform page · read 2026-10-01

  • Pricing and trial transparency 1/10

    No prices, free tier or self-serve sign-up are published; the route in is Get a Demo.

    Source: Alice documentation · read 2026-10-01

Credo AI total 6.00

  • AI discovery and inventory 9/10

    Credo AI describes discovering AI across agents, models and apps and keeping an agent registry.

    Source: Credo AI home page · read 2026-10-01

  • Policy to runtime enforcement 4/10

    Credo AI says it enforces policy; runtime blocking of prompts, responses or agent actions is not described on the pages reviewed.

    Source: Credo AI product page · read 2026-10-01

  • Testing evidence 4/10

    Assess and monitor steps are described; adversarial testing or red teaming is not described.

    Source: Credo AI product page · read 2026-10-01

  • Framework mapping and audit-ready reports 9/10

    The product covers discover, assess, govern, monitor and report against the EU AI Act, NIST and ISO.

    Source: Credo AI product page · read 2026-10-01

  • Regulatory intelligence and expert support 10/10

    A Knowledge Graph of regulatory intelligence and forward-deployed experts are both described.

    Source: Credo AI home page · read 2026-10-01

  • Third-party AI governance 10/10

    A Third-party AI Registry is named on the product page.

    Source: Credo AI product page · read 2026-10-01

  • Languages and modalities 2/10

    Language and modality coverage is not described on the pages reviewed.

    Source: Credo AI product page · read 2026-10-01

  • Pricing and trial transparency 1/10

    Pricing is not published.

    Source: Credo AI product page · read 2026-10-01

SPLX total 5.96

  • AI discovery and inventory 7/10

    AI Asset Management (AI-BOM) is a named platform module.

    Source: SPLX home page · read 2026-10-01

  • Policy to runtime enforcement 7/10

    AI Runtime Protection applies input and output guardrails, and Dynamic Remediation hardens system prompts.

    Source: SPLX home page · read 2026-10-01

  • Testing evidence 8/10

    Automated AI Red Teaming and AI Runtime Threat Inspection (log scanning) are named modules.

    Source: SPLX home page · read 2026-10-01

  • Framework mapping and audit-ready reports 7/10

    AI Governance & Compliance maps to global and custom standards; the MITRE ATLAS and OWASP LLM Top 10 check is listed on the Enterprise plan.

    Source: SPLX pricing page · read 2026-10-01

  • Regulatory intelligence and expert support 2/10

    A regulatory intelligence feed or expert service is not described on the pages reviewed.

    Source: SPLX home page · read 2026-10-01

  • Third-party AI governance 2/10

    Governance of third-party or vendor AI is not described on the pages reviewed.

    Source: SPLX home page · read 2026-10-01

  • Languages and modalities 6/10

    The Professional plan lists multimodal voice and image testing; language coverage is not stated.

    Source: SPLX pricing page · read 2026-10-01

  • Pricing and trial transparency 6/10

    Plan names and contents are published, the pricing page refers to a free tier, and Agentic Radar is open source; prices are quote only.

    Source: SPLX pricing page · read 2026-10-01

Lasso total 5.60

  • AI discovery and inventory 8/10

    Discovery & AI-BOM is the first module listed on the platform.

    Source: Lasso home page · read 2026-10-01

  • Policy to runtime enforcement 8/10

    Policy enforcement and AI Detection & Response are described, and Lasso announced the LEAP CPU-based guardrail on 3 September 2026.

    Source: Lasso AI agent governance page · read 2026-10-01

  • Testing evidence 8/10

    Automated red teaming is mapped to MITRE and OWASP, with closed-loop remediation and auto guardrail patching.

    Source: Lasso AI red teaming page · read 2026-10-01

  • Framework mapping and audit-ready reports 8/10

    The governance use case describes an audit trail for the EU AI Act, NIST AI RMF and ISO 42001.

    Source: Lasso AI agent governance page · read 2026-10-01

  • Regulatory intelligence and expert support 2/10

    A regulatory intelligence feed or expert service is not described on the pages reviewed.

    Source: Lasso home page · read 2026-10-01

  • Third-party AI governance 3/10

    A registry or assessment of third-party or vendor AI is not described on the pages reviewed.

    Source: Lasso home page · read 2026-10-01

  • Languages and modalities 2/10

    Language and modality coverage is not described on the pages reviewed.

    Source: Lasso home page · read 2026-10-01

  • Pricing and trial transparency 1/10

    Pricing is not published.

    Source: Lasso home page · read 2026-10-01

Holistic AI total 5.20

  • AI discovery and inventory 9/10

    Holistic AI describes discovering every model, agent and application, with connections to AWS, Azure and GitHub among others.

    Source: Holistic AI home page · read 2026-10-01

  • Policy to runtime enforcement 5/10

    The platform is described as enforcing policies; how that works at runtime is not described on the page reviewed.

    Source: Holistic AI home page · read 2026-10-01

  • Testing evidence 6/10

    Tests for bias, hallucinations, prompt injection and drift are listed.

    Source: Holistic AI home page · read 2026-10-01

  • Framework mapping and audit-ready reports 9/10

    Evidence for the EU AI Act, NIST AI RMF and ISO 42001 is described.

    Source: Holistic AI home page · read 2026-10-01

  • Regulatory intelligence and expert support 4/10

    Risk assessment is described; a regulatory intelligence feed or expert service is not described on the page reviewed.

    Source: Holistic AI home page · read 2026-10-01

  • Third-party AI governance 3/10

    Discovery covers models, agents and applications; a dedicated third-party AI registry is not described.

    Source: Holistic AI home page · read 2026-10-01

  • Languages and modalities 2/10

    Language and modality coverage is not described on the page reviewed.

    Source: Holistic AI home page · read 2026-10-01

  • Pricing and trial transparency 1/10

    Pricing is not published.

    Source: Holistic AI home page · read 2026-10-01

The eight criteria

  • Inventory · 12

    Does the platform find and list the AI models, agents and applications in use, so governance has a register to work from?

  • Enforce · 18

    Is a written policy turned into a control that acts on live prompts, responses or agent actions, rather than staying a document?

  • Evidence · 16

    Does the platform produce adversarial test results (red teaming, drift and regression checks) that feed governance records?

  • Frameworks · 14

    Are controls and findings mapped to the EU AI Act, ISO/IEC 42001, NIST AI RMF, OWASP or MITRE ATLAS, with reports an auditor can use?

  • Expertise · 10

    Does the vendor describe a regulatory knowledge source, managed service or expert-led work alongside the software?

  • Third-party · 10

    Can the platform register and assess AI that comes from vendors and SaaS tools, not only AI the company builds?

  • Coverage · 10

    Are languages and modalities (text, image, voice, multimodal) stated, so controls cover what customer-facing AI actually receives?

  • Pricing · 10

    Can a buyer see prices, plan contents, a free tier or open-source tooling before talking to sales?

How each criterion is scored

Full ranking and reasons

§ 3 Inventory first or enforcement first?

Inventory first

Credo AI and Holistic AI start from a register: discover the models, agents and applications in use, assess their risk and report against frameworks. Credo AI adds a regulatory knowledge graph, forward-deployed experts and a Third-party AI Registry.

Enforcement first

Pillar Security, Alice, SPLX and Lasso start from the traffic: test the application, put a guardrail in front of it and log what it blocked. Alice's WonderSuite covers the full loop for customer-facing AI: WonderBuild before launch, WonderFence at runtime, WonderCheck after launch.

Which side fits depends on whether your first audit question is "what AI do we run" or "what did our AI do". The readiness score re-weights the ranking for your situation.

Get your readiness score

§ 4 Where does each platform lead?

Leaders per criterion, computed from the scores. Ties are listed together.

  • AI discovery and inventoryCredo AI and Holistic AI9
  • Policy to runtime enforcementAlice and Pillar Security9
  • Testing evidenceAlice and Pillar Security9
  • Framework mapping and audit-ready reportsCredo AI, Holistic AI and Pillar Security9
  • Regulatory intelligence and expert supportCredo AI10
  • Third-party AI governanceCredo AI10
  • Languages and modalitiesAlice9
  • Pricing and trial transparencySPLX6

§ 5 Start here

  • Rankings

    Six platforms, eight criteria, every score with its reason.

  • Readiness score

    Re-weight the criteria for your own situation.

  • Head-to-head

    Fifteen pairs, compared criterion by criterion.

  • Control maps

    Policy, control, evidence and report for all six.

  • Academy

    Eleven lessons on governing AI apps and agents.

  • Answers

    Short answers to the questions buyers ask first.