Platform
Four surfaces. One adversary.
RedMaw is an autonomous adversarial security platform built to prove what an attacker can actually reach across applications, SaaS identities, internal infrastructure and AI systems.
Each hop validated by successful exploitation
Attackers do not respect product categories.
A real attack moves through technologies your security stack treats as separate domains.
A public application exposes a credential. The credential belongs to a developer. The developer has access to GitHub. A repository contains a secret. The secret authenticates to a cloud account. The cloud account reaches production.
No single step needs to look catastrophic in isolation. The route is the risk.
Where RedMaw tests
One platform, four security surfaces
These are not four editions. They are four surfaces in the same adversarial-security model.
Applications
Attack your applications before attackers do.
Adversarial testing of the web applications and APIs you own and authorize, aimed at proving exploitability rather than reporting resemblance to a known pattern.
Example question
What can someone actually do with it?
SaaS & Identity
See what a compromised identity can actually reach.
Testing the customer-controlled identity and permission graph to establish what one compromised account, key or grant can actually expose.
Example question
If this account is compromised, which systems and sensitive records become reachable?
Internal Infrastructure
Assume breach. Now what?
Establishing which internal servers, routers and switches can actually be accessed from an authorized foothold, and what those systems expose. Access is demonstrated and reported, never disrupted.
Example question
If an attacker gains access to this internal service or credential, what high-value systems could become reachable next?
AI Systems
Attack models and agents before you trust them.
Adversarial testing of deployed AI systems and release pipelines, aimed at how the system behaves when the input is hostile rather than expected.
Example question
Can malicious content change what the AI reveals, ignores, or attempts to do?
Operating loop
The platform runs a loop, not a scan.
A scan can finish. The loop is designed to continue.
- 01
Discover
Map the applications, identities, integrations, infrastructure and AI systems in authorized scope.
- 02
Attack
Execute adversarial technique against the environment as it is actually configured.
- 03
Prove
Capture evidence of what succeeded and what it reached.
- 04
Prioritize
Rank by reach and consequence, and identify path chokepoints.
- 05
Remediate
Hand engineering the path, the evidence and the fix that breaks it.
- 06
Re-attack
Re-test the path. A finding closes only when it can no longer be walked.
Re-attack feeds the next Discover. The loop does not restart from zero. It carries the security state forward.
Findings state
The finding is not the Jira ticket.
RedMaw keeps the authoritative state of security findings. The finding is the validated security condition, not the task created to track it.
That distinction matters because task systems and security state have different jobs. Jira, GitHub Issues, Slack and email are where teams coordinate work. RedMaw owns whether the exposure is still exploitable.
A recurring finding updates one security record instead of creating a disconnected stream of duplicate tasks.
Evidence
Evidence is part of the product.
A score is useful for triage. It is not proof.
RedMaw preserves evidence that security and engineering teams can inspect: reproducible attack detail, session recording and replay, MITRE ATT&CK mapping, and signed tamper-evident evidence where supported.
That evidence follows the finding into remediation and returns at retest.
Cadence
Continuous by design
Validation runs on a schedule and responds to deployment changes. AI red-teaming can run in the CI or release pipeline after model changes.
Test when the environment changes, not when the calendar says it is time for another assessment.
Operating model
Run it yourself, or have us run it.
The same platform supports three operating models. Self-serve: your team operates RedMaw directly. Managed: RedMaw operators run and triage the program with you. Dedicated: larger and regulated organizations use dedicated hosted environments and controlled internal connectivity.
The engine, evidence, findings state and remediation loop stay consistent. The difference is who operates it.
Availability
Where the platform is going
The platform vision is one adversarial model that reasons across all four surfaces. Some of the deeper automation that vision requires is not built yet.
Roadmap: not shipped
- Automated cross-surface attack-path chaining
- Deeper Active Directory and lateral-movement coverage
- Automated privilege-escalation validation
- AI-agent red-teaming
- Detection-gap scoring and SIEM/EDR integration
In depth
How the platform works
Stop assuming you are secure. Prove it.
Continuously test what an attacker can actually reach across your applications, SaaS identities, internal infrastructure and AI systems.