Continuous pentesting
Keep adversarial testing current between manual engagements, so meaningful changes can be tested instead of waiting for the next scheduled assessment.
Autonomous Adversarial Security
RedMaw is an autonomous adversarial security platform that continuously tests your applications, SaaS identities, internal infrastructure and AI systems to prove what an attacker can actually reach.
Each hop validated by successful exploitation
Modern companies do not have one attack surface. They have public applications, APIs, SaaS platforms, cloud identities, internal systems, developer tools, secrets, AI endpoints, models, and increasingly agents with access to business systems.
Security products usually inspect those environments separately. Attackers do not.
They start with whatever foothold works, then ask a simple question: what can I reach next?
A vulnerable endpoint can expose a credential. A credential can unlock a SaaS account. A SaaS integration can expose customer data. A malicious document can influence an AI system that has permission to call a production tool.
The individual weakness matters. The route it creates matters more.
Four surfaces. One adversary.
Each surface has its own techniques and boundaries. The question stays the same.
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?
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?
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?
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?
A vulnerability scanner is useful because it gives broad, deterministic coverage of known weaknesses. Keep it. But finding a possible issue and proving attacker reachability are different jobs.
A scanner reports
An exposed service, an old package, a weak configuration, a suspicious endpoint. Broad coverage, deterministic, and worth keeping.
RedMaw asks
The same weakness, exercised adversarially inside the approved scope, with the evidence of what actually succeeded.
The questions that change the answer
The point is not a longer list of findings.
It is to reduce uncertainty about which findings materially change what an attacker can reach.
Evidence can include
Where supported, evidence is signed and tamper-evident. Session recording and replay let security engineers inspect how the finding was produced. MITRE ATT&CK mapping gives a common technical language for the observed behavior.
Operating loop
RedMaw turns security testing into a continuous operating loop.
Map the applications, identities, integrations, infrastructure and AI systems in authorized scope.
Execute adversarial technique against the environment as it is actually configured.
Capture evidence of what succeeded and what it reached.
Rank by reach and consequence, and identify path chokepoints.
Hand engineering the path, the evidence and the fix that breaks it.
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.
Most security workflows lose authority at the moment a ticket is created. A scanner reports a weakness. A ticket is opened. Someone marks it Done. The organization assumes the exposure is gone.
RedMaw keeps the security state. The finding moves from discovered to validated, prioritized, assigned, remediated, retested, and finally closed or reopened.
A ticket can say Done. RedMaw still re-runs the attack.
RedMaw does not trust a checkbox. It re-hacks the fix.
Closed by proof
A pentest is a snapshot. Your environment keeps changing after the report is delivered.
RedMaw runs on a continuous schedule, responds to deployment triggers, and runs AI security validation after model changes.
The goal is simple: test exposure closer to the moment it is introduced.
After the report ships
Operating models
One engine sits underneath each motion. The difference is who operates it.
Your team operates RedMaw directly: defines scope, runs testing, reviews evidence, manages findings and integrates remediation with existing engineering workflows.
RedMaw operators run and triage testing for you, while your organization retains authorization, scope and remediation ownership.
Larger and regulated teams use dedicated hosted environments, secure outbound connectivity for authorized internal reach, and custom integration options.
RedMaw helps produce defensible evidence for security reviews and compliance workflows.
What this is not
RedMaw provides testing and evidence. It does not certify, audit, or make an organization compliant.
Solutions
The use case changes. The security lifecycle does not.
Keep adversarial testing current between manual engagements, so meaningful changes can be tested instead of waiting for the next scheduled assessment.
Move from possible exposure to proven exposure by testing whether a weakness can actually create unauthorized access, data exposure or another material security outcome.
Prioritize security work by what a finding can reach, not only by the severity label attached to the weakness that started the investigation.
Protect tenant data while product teams ship quickly, answer enterprise security reviews and introduce AI features that create new application and model attack surfaces.
Continuously validate exposure around customer financial data, payment flows and regulated digital services while preserving evidence for resilience and DORA-oriented security programs.
Validate the systems and identities around policyholder and claims data while supporting resilience, underwriting scrutiny and security programs that span modern and legacy technology.
Resources
A weakness does not start working on the day it gets an identifier. It was already working. The identifier is just when defenders found out.
DORA changes the testing conversation from isolated evidence toward an operating resilience process that can be demonstrated.
Organizations assign security ownership by technology. Attackers organize around reachable trust.
Continuously test what an attacker can actually reach, fix what matters, and prove the exposure is gone.