Redthread
Redthread powers MILLENNIUMS.AI, an agentless-first security platform that maps applications, AI agents, code, cloud assets, identities, and data into a shared risk graph. Its modules assess security posture, autonomously test AI applications, and provide proven findings with remediation guidance.
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Quick Overview
Best for: Software & Gaming
What it does
Security software for decision-makers comparing workflow fit and alternatives.
Best fit
Software & Gaming
Pricing snapshot
Free from Free; no card required for the browser quickstart.
Next step
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Redthread powers MILLENNIUMS.AI, an AI-native application security platform for teams assessing AI applications and their broader cloud and software estate. It builds a shared graph of applications, agents, code, cloud accounts, identities, controls, and reachable data; platform modules use that graph to assess posture and surface risks that span multiple layers.
The platform is agentless-first: users connect targets or cloud accounts and enable modules per workspace. Its AI application pentesting module probes running applications and reports vulnerabilities with reproducible proofs of concept. Other documented capabilities include shadow-AI discovery, cloud posture and data security posture management, CI/CD scanning, remediation workflows, continuous reassessment, and optional detect-only sensors.
Point MILLENNIUMS.AI at your AI app and it finds real, proven vulnerabilities. Guides, concepts, and the full API reference.
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Claim this listing for $29Key Features
Shared estate risk graph
Maps agents, applications, code, cloud accounts, identities, security controls, and reachable data into one graph. Modules read and write to the graph so teams can identify risks spanning multiple layers.
AI application penetration testing
Autonomous agents test running chatbots, agents, and RAG endpoints against the OWASP LLM Top 10, mapped to MITRE ATLAS. Findings are based on vulnerabilities the engine reached or exploited and include steps to reproduce them.
Black-box and white-box scanning
A live URL or API endpoint is the scan target. Teams can optionally provide source code through a repository or ZIP upload for deeper white-box analysis; Complete scan runs both passes and merges the findings.
Shadow-AI discovery
Inventories AI-powered features across the estate, including features that have not been registered.
Cloud posture and DSPM
Agentless cloud connections map assets, identities, and data, classify sensitive data stores, and surface cross-cloud attack paths.
Assess & Consolidate
Creates a posture report showing covered, partially covered, and uncovered assets, highlights AI gaps, and provides a replace-map for tools a live Redthread module could replace.
CI/CD scanning and gating
Scans can run on pull requests, and the CI gate can block a merge that would introduce a proven attack path.
Continuous reassessment
Scheduled reassessment tracks drift and trends so coverage can be reviewed against the current production estate.
Remediation and reporting
Findings include remediation guidance and can produce draft pull requests. The platform also provides technical and compliance reports, including a machine-readable report twin.
Agent Trust Fabric
An opt-in module assigns agent and identity nodes SPIFFE identifiers and emits signed, expiring trust-state events for safe, unsafe, degraded, or revoked states.
Optional detect-only sensors
Optional internal and endpoint sensors provide additional visibility. The endpoint agent is described as detect-only and does not block, kill, or quarantine.
Pricing
Free discovery is unlimited. The Free plan can run a Complete scan subject to a $20 total cap; working proofs of concept are reserved for paid plans.
Free
Free; no card required for the browser quickstart.- Discovery across connected sources is free and unlimited.
- Findings are visible, but working proofs of concept are available on paid plans.
- A Complete scan is available on the Free plan with a $20 total cap, described as $10 per pass.
Use Cases
Test an AI application before release
Scan a running staging URL, optionally add source code for a white-box pass, and review proven AI application vulnerabilities and remediation guidance.
Gate pull requests on proven attack paths
Run scans in a CI/CD workflow and block a merge when it would introduce a proven attack path.
Find security coverage gaps across an estate
Connect cloud accounts and other sources to map assets and controls, identify uncovered areas and AI gaps, and review cross-cloud attack paths.
Assess security-tool consolidation
Use the replace-map to identify tools that live Redthread modules could replace, and quantify potential consolidation using costs entered by the team.
Send agent trust changes to other systems
Enable Agent Trust Fabric to emit signed trust-state events to registered webhooks so orchestrators, gateways, or SIEMs can react to state changes.
Integrations
GitHub
Connect a repository for source-assisted scanning; the documentation also describes GitHub Action and pull-request scanning workflows.
GitLab, Bitbucket, and Azure DevOps
Repositories from these providers can be supplied as source for white-box scanning.
AWS, Azure, and GCP
Cloud accounts can be connected agentlessly for asset, identity, and data mapping.
Microsoft Entra
Listed as an agentless identity-provider source in the platform architecture.
Jira and ServiceNow
Remediation workflows can open tickets in Jira or ServiceNow.
Webhooks and SIEMs
The platform can send remediation webhooks and signed Agent Trust Fabric events to registered webhooks; the documentation also describes trust signals for SIEMs.
SPIFFE/SPIRE
The opt-in Agent Trust Fabric can use SPIRE to issue short-lived workload identities for agents and identities.
Benefits
Limitations
Frequently Asked Questions
Does the core product require an installation?
What should I provide for a scan?
Can I scan an application on the Free plan?
Can I scan a production application?
Can I use the API to run scans?
Getting Started
- 1 Create an account in the browser with an email address; no card is required for the documented quickstart.
- 2 Connect the estate you want to assess, such as a website URL, GitHub repository, or read-only cloud inventory.
- 3 Verify your email to unlock active scanning, then provide a running staging URL as the scan target.
- 4 Optionally add source code as a ZIP or repository for a deeper white-box scan, start the scan, and review its findings.
Support
Documentation
The documentation includes browser and API quickstarts, platform concepts, task-based guides, and an API reference.
In-product guidance
The browser quickstart guides users through connecting an estate, verifying email, starting a scan, and reading findings.
Partner connection request
The documentation says to ask the provider to connect an endpoint-prevention partner for a workspace.
API
The documentation includes a REST API reference and a quickstart showing bearer-token authentication, account checks, scan creation, and run-result retrieval.
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