Material Security AI agents vs SQUR Autonomous Pentest
Quick answer
Material Security AI agents (user-reported phishing agent and OAuth Remediation Agent) (Material Security) and SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) (SQUR (SQUR UG (haftungsbeschränkt))) are both listed in the Security category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
Material Security AI agents (user-reported phishing agent and OAuth Remediation Agent) (Material Security) and SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) (SQUR (SQUR UG (haftungsbeschränkt))) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  Material Security AI agents (user-reported phishing agent and OAuth Remediation Agent) |  SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) |
|---|---|---|
| Vendor | Material Security | SQUR (SQUR UG (haftungsbeschränkt)) |
| HQ | United States · North America | Germany · Europe |
| Primary category | Security | Security |
| Also listed in | Security | Security, Code security |
| Summary | Cloud workspace security for Google Workspace and Microsoft 365 with an AI agent that triages, clusters and remediates user-reported phishing across the organisation, plus an OAuth Remediation Agent that investigates third-party app and AI-agent grants and can revoke tokens on its own. Per-user pricing is published. | German autonomous pentesting product for web apps and APIs: given a target URL, scope and optional source code, its AI agents carry out real exploitation, a separate agent re-tests every finding against the live app to weed out false positives, and a compliance-ready report with proof-of-exploit and remediation steps arrives within 24 hours; continuous monthly runs mark findings fixed, regressed or new. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | ISO 27001, SOC 2 |
| Capabilities / tasks | phishing triage, email security, remediation, incident response, cloud security | pen test management, appsec, vulnerability management, attack surface |
| Pricing (as published) | Published: Essentials $4 per user/month and Advanced $6 per user/month (billed annually, plus a fee based on Shared Drive size). Essentials includes the automated agent for user-reported phishing. Advanced adds the agent that investigates, classifies and remediates OAuth grants. ATO Resilience is +$3 per user/month as an add-on or $5 stand-alone. Enterprise is by quote. | Published on squr.ai/pricing: Compliance Pentest EUR 1,995 one-time per web app/API (24h, free retest); Professional continuous EUR 995 per app per month; bulk credits EUR 1,495 per pentest for 10+ apps; free attack-surface scan. |
| Pricing model | published-tiers | published-tiers |
| Primary source | https://material.security/use-cases/automate-user-report-response | https://squr.ai/ |
| Last checked | 2026-10-18 | 2026-10-20 |
| Official site | https://material.security/use-cases/automate-user-report-response | https://squr.ai/ |
FAQ (from this dataset)
What is the difference between Material Security AI agents and SQUR Autonomous Pentest?
Both are listed under Security. They share no task tags in this dataset. Material Security AI agents-only tasks: phishing-triage, email-security, remediation, incident-response, cloud-security. SQUR Autonomous Pentest-only tasks: pen-test-management, appsec, vulnerability-management, attack-surface. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Material Security AI agents (user-reported phishing agent and OAuth Remediation Agent): Published: Essentials $4 per user/month and Advanced $6 per user/month (billed annually, plus a fee based on Shared Drive size). Essentials includes the automated agent for user-reported phishing. Advanced adds the agent that investigates, classifies and remediates OAuth grants. ATO Resilience is +$3 per user/month as an add-on or $5 stand-alone. Enterprise is by quote. SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification): Published on squr.ai/pricing: Compliance Pentest EUR 1,995 one-time per web app/API (24h, free retest); Professional continuous EUR 995 per app per month; bulk credits EUR 1,495 per pentest for 10+ apps; free attack-surface scan.
Where are Material Security AI agents and SQUR Autonomous Pentest headquartered?
Material Security AI agents (user-reported phishing agent and OAuth Remediation Agent) publishes HQ in United States. SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification) publishes HQ in Germany.
Also in this use case
Other verified listings that share a task tag or use-case group with Material Security AI agents (user-reported phishing agent and OAuth Remediation Agent) or SQUR Autonomous Pentest (24-hour AI web and API pentesting with exploit verification). Open a pair page or the use-case table — this is not a ranking.
- Amnify security agents (agent-driven code audit, AI pentesting, PR review and autofix pull requests) — German AppSec product from Düsseldorf: a team of agents audits repositories (SAST, secrets, SCA, IaC, CI/CD) and cloud accounts, triages signals so only confirmed findings surface, pentests running apps inside a verified scope with a separate agent reproducing every finding, reviews pull requests with a merge-blocking status check, and opens fix pull requests that run your tests but never merge themselves.
- noze CyberAgent (AI agent for continuous attack-surface monitoring, automated validation pentesting and NIS2 evidence) — Italian agent for mid-sized companies and NIS2 entities without an in-house SOC: after verifying domain control it continuously discovers assets and assesses network, web apps and APIs, correlates findings with EPSS and CISA KEV, confirms exploitability with automated validation pentests, ranks risks by business impact and prepares NIS2, DORA and ISO 27001 reports; the team decides what to fix. · noze CyberAgent (AI agent for continuous attack-surface monitoring, automated validation pentesting and NIS2 evidence) pair comparison
Use-case comparisons
- Email security and phishing-response AI agents — 16 listings (Triage of user-reported phishing, autonomous email threat remediation and AI-run phishing simulation)
- Agentic pentesting AI agents — 33 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
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