RESPONSE360 / OFFENSIVE SECURITY

Find the paths that put your business at risk.
AI-assisted red teaming, from discovery to reproducible proof.

01 / THE OUTPUT

Proof before priority.

FROM FINDING TO FIX
Understand the exposure.
Reproduce the finding.
Give engineering a clear next step.
Signal checked against a benign control Stable replay attached to the finding Engineering-ready remediation context
RESPONSE360 / FINDING R360-241-07VERIFIED
Cross-tenant object access
EvidenceRequest and response pair captured with sensitive values redacted.
ControlAn intentionally invalid session returned the expected access-denied response.
ReplayReproduced three times in the authorized test window. Confidence 0.94.
REQUESTRESPONSEREPLAY ×3FIX CONTEXT
02 / THE PROCESS

From exposed surface
to a clear next step.

One connected investigation.
Four deliberate stages.

Illustrative workflow · example dataScope → hypothesis → controlled test → evidence
03 / VALIDATION

Continuous testing.
Reproducible proof.

Every promising signal becomes a small investigation: exercise, benign control, replay. The graph below is what your team sees — the proven path, not the noise.

Example engagement · #241 TARGET api.acme.ioSCOPE lockedAGENT 01/06
Proven attack pathtenant-b → tenant-a
Entry · authenticated
Session accepted as tenant B

valid session-b presented to api.acme.io

Weakness · root cause
Missing ownership check

GET /v2/invoices/:id returns any tenant’s object

Impact · data reached
Tenant A invoice records exposed

200 OK · body.tenant = tenant-a

Verdict · verified
Confirmed, not a false positive

benign control held · replay stable ×3

confidence 0.94
Validation sequence
09:11:04map route discovered GET /v2/invoices/{id}
09:14:10probe session-b → tenant-a body returned
09:15:22candidate cross-tenant IDOR raised
09:17:31control benign request → 403 as expected
09:22:47replay stable ×3 · hash matched
09:23:05verified promoted · confidence 0.94
VERIFIED FINDING0.94

Cross-tenant IDOR on invoice retrieval — brief, evidence and reproduction steps ready for handoff.

Jira ticketSlack #securityJSON evidence
01

Reproduce

The exact request, response and context behind the finding.
02

Prioritize

The affected boundary, exposed data and business impact.
03

Remediate

A focused fix recommendation and a repeatable validation path.
[ Workflow Comparison ]

From a security signal
to a verified finding.

See how validation adds context to detection, from initial signal to engineering handoff.

Capability
Traditional scanner
RESPONSE360Autonomous red team
What lands in your queue
Raw alerts to triage
Verified findings only
False positives
Your problem to filter
Dismissed by controls & replay
Evidence with each finding
“Please reproduce this”
Request, response & replay attached
Authenticated & multi-tenant
Blind to session boundaries
Tests tenant & object ownership
After every deploy
Wait for the next scan window
New surface tested automatically
Engineering handoff
A ticket to investigate
A brief that’s ready to fix
04 / COVERAGE

Find risk across
Web, API, and Auth.

05 / FINDING BRIEFS

A finding your engineers
can reproduce.

Illustrative finding briefs that show the intended output: request, response, control, replay and clear reproduction steps.

requestGET /v2/invoices/inv_8f2200
controltenant boundary baseline403 ✓
replayresponse hash matched ×3stable
IDOR / TENANT BOUNDARY

Cross-tenant invoice retrieval via unchecked object ownership

R360-241-07CONF 0.94
asset/.env.backuppublic
controlsession omitted200
proofsecret values redactedsealed
SECRET EXPOSURE

Environment artifact reachable without a session on storage edge

R360-241-11CONF 0.88
inputwebhook_url → internal hostsent
egressmetadata route observedhit
replaycallback correlation0.91
SSRF / EGRESS

Webhook URL validation bypass enabling internal metadata access

R360-238-03CONF 0.91
[ Integrations ]

Plugs into the stack
you already run.

[ Pricing ]

Tell us your surface.
We’ll scope the rest.

Every engagement is scoped to your surface, access model and release rhythm. Pricing starts with a short technical scoping session.

Recon

A first scoped assessment on one authorized domain to prove the workflow to your team.

  • On-demand assessment
  • Evidence-backed findings
  • Exportable reports
  • Surface change tracking
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Continuous

Always-on engagements across your surfaces, tuned to how often you deploy.

  • Scheduled engagements
  • Authenticated testing
  • Confidence scoring & replay
  • Slack, Jira & webhook delivery
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Enterprise

Governance, scale and resilience programs shaped around your security organisation.

  • Distributed execution
  • Resilience testing profiles
  • SSO/SAML, governance, audit trail
  • Dedicated onboarding
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[ Governance & Control ]

Offensive testing,
under your control.

AI-assisted offensive testing only earns trust with explicit guardrails. Every engagement is scoped, measured and reviewable.

Scope-locked

Only assets you own or authorize in writing are ever touched — enforced, not promised.

Benign by default

Read-heavy validation and safe controls; disruptive profiles need explicit sign-off and limits.

Full audit trail

Every request, control and decision is logged and exportable for review and compliance.

SSO & RBAC

SAML/SSO with role boundaries so operators, viewers and auditors see exactly what they should.

Your data stays yours

Evidence is encrypted and isolated per tenant, retained on your terms and never resold.

[ FAQs ]

What teams ask
before the first run.

Does Response360 only test authorized targets?
Yes. Engagements are scope-locked and intended only for assets you own or have explicit written permission to test. Scope, guardrails and run history are recorded for auditability.
How is this different from a vulnerability scanner?
A traditional scanner usually stops at detection. Response360 adds a validation workflow around the signal: baselines, benign controls, replay, correlation, evidence and confidence scoring before a finding reaches your team.
Can it test authenticated and multi-tenant application flows?
Yes. Authorized authenticated surfaces can be included so session boundaries, IDOR-style access-control issues and business-logic paths can be evaluated with the right context.
Can we use it against production?
The platform is designed around scoped guardrails and measured testing. Read-heavy validation and benign controls can be used in production-friendly engagements; resilience/load profiles require explicit authorization and agreed limits.
What does engineering receive?
A concise finding brief with evidence, confidence, control/replay context and exportable details that can flow into supported collaboration and ticketing workflows.
How quickly can we start?
The first engagement can begin with one authorized surface and a clear scope. Timing depends on access requirements and is confirmed during technical scoping.
[ Get Started ]

Test with guardrails.
Keep the proof.