Autonomous offensive security

Test everything you own.
Prove what's exploitable.

Raid11 deploys AI agents that map your whole attack surface, chain real exploits, and validate every finding with a working proof-of-concept. Continuously, not once a year.

Book a demo See how it works →

Now onboarding design partners · Web & API available today

Whole attack surface mapped & tested continuously
A working exploit with every finding, not noise
Hours, not weeks parallel autonomous agents

The problem

You don't need more findings. You need proof across everything.

Scanners bury you in unvalidated alerts. Manual pentests are thorough but cover only a sample, once or twice a year. Neither tells you what an attacker can actually do across your entire estate.

The attacks others miss

Agents chain weaknesses into real, multi-step attack paths: the business-logic flaws that scanners and point-in-time pentests overlook.

Proof, not noise

Every finding is validated with a working proof-of-concept, CVSS-based severity, and automatic deduplication. No wall of false positives.

Coverage without headcount

Autonomous agents test your whole surface in parallel, on every release. That is coverage manual testing alone cannot match.

Exploration

It understands your application before it attacks it.

A manual engagement spends its opening days building a mental model of your app. Raid11 does it in parallel, at machine speed.

  1. Explore like an attacker Agents follow leads and probe for behaviour instead of walking a fixed checklist.
  2. Understand the application Every route, parameter, role and authentication flow becomes a working model of how your app actually behaves.
  3. Build the attack, not the checklist Each scenario is written against your business logic, shaped by what the model just revealed.
  4. Find what the list would miss Logic flaws, broken access control and multi-step paths that only make sense in your application.
See how it works →

Governed for production

Full autonomy, inside your guardrails.

You define scope; Raid11 stays within it. Assessment traffic is attributable, execution is isolated per client, and every action is logged. Safe to run against real systems.

See the guardrails →

Every finding, proven

No false-positive triage. Just exploits that work.

Each finding ships as a case file: the attack path, a working proof-of-concept, impact and severity, and remediation guidance. Report-ready and retestable after you fix.

See a finding trace →

How it works

Point it at your targets. Get back working exploits.

01

Scope

Authorize your targets. Raid11 tests only what you explicitly allow.

02

Map

Build a live model of the surface: apps, endpoints, parameters, auth flows.

03

Attack

A fleet of agents works in parallel with a real offensive toolkit.

04

Chain

Combine individual weaknesses into multi-step exploit paths.

05

Prove

Validate each finding with a reproducible PoC. False positives filtered out.

In the product

Add a target. Findings come back proven.

You add and authorize a target in the dashboard. No agents to configure, no scripts to run. Assessments start from there and findings appear as each one is validated.

Assessments / New target Illustrative example
Target URL
https://app.example.com Start assessment
Ownership verified Scope: app & API Continuous
412endpoints mapped
6agents running
4findings validated
FindingsAssessing
  • CRITICAL Race condition in fund transfer → unauthorised overdraft POST /api/v2/transfers · CVSS 9.1 · PoC captured Validated
  • HIGH IDOR in GraphQL API → account takeover POST /graphql · CVSS 8.1 · PoC captured Validated
  • HIGH Auth bypass via JWT algorithm confusion POST /v2/session · CVSS 8.8 · PoC captured Validated
  • MEDIUM Tenant isolation bypass on report export GET /v2/reports · CVSS 6.5 · PoC captured Validated

Every finding, traced end to end

Open a finding. See the whole attack.

Each finding is a reproducible record: the attack path, the working exploit, the agent's decision log, and how to fix it.

CRITICAL

Race condition in fund transfer → unauthorised overdraft

Illustrative example
CVSS 9.1 Endpoint POST /api/v2/transfers Class Business logic
  1. 01 Modelled the transfer flow: balance check, debit, and ledger write are separate operations.
  2. 02 Measured a window between the check passing and the debit being committed.
  3. 03 Issued concurrent transfers from a test account holding a known balance.
  4. 04 Every request cleared against the same pre-debit balance and was accepted.
  5. 05 Test account settled below zero. Reproduced three times, then reverted.
POST /api/v2/transfers            20 concurrent requests
{ "from": "<test-account>", "to": "<test-account-2>", "amount": "500.00" }
→ 20 x 201 Created      balance 500.00 → -9,500.00

A scanner sees twenty successful transfers. The flaw is that all twenty were authorised against the same balance. Nothing here is malformed input, so there is no signature to match on.

One platform, every surface

Continuous where it matters most.

The rarely-tested surfaces are where enterprises are most exposed. Raid11 brings the same autonomy to all of them.

Web & API

Available

Your apps and APIs, tested like a real attacker would.

  • Catches the bugs scanners sleep on: logic, auth, access control
  • Pokes every endpoint, REST and GraphQL alike
  • Turns small cracks into full attack paths
  • Re-tests itself on every release

Infrastructure

Coming soon

Your whole estate, assessed all year, not twice a year.

  • Walks Active Directory: privilege escalation & lateral movement
  • Spots cloud misconfigs across AWS, Azure, GCP & Kubernetes
  • Covers on-prem hosts and services, continuously
  • Flags CVEs that are actually exploitable, not just "present"

Mobile

Coming soon

Hand us the app. We'll handle the hard part.

  • Just drop in your APK; we take it from there
  • Runs the real app, even hardened and pinned ones
  • Hunts the API hiding behind the app
  • Checks every release, automatically

Autonomous by design. Safe by default.

Safe to point at production.

Authorization, isolation, and auditability are first-class, not afterthoughts. Raid11 is engineered to run against real systems responsibly.

  • Authorized-scope only. Agents cannot test outside the targets you approve.
  • Non-destructive validation. Exploits are proven without damaging your systems.
  • Attributable traffic. Assessment traffic is signed and verifiable.
  • Isolated execution. Each client's assessments run in isolation.
  • Full audit trail. Every agent action is logged.
  • SOC 2. On our compliance roadmap.

FAQ

Questions security teams ask.

Does it replace my pentesters?

It gives you continuous, complete coverage so your human testers can focus on the hardest, highest-value work instead of repeatable breadth. Think augmentation, not replacement.

How do you avoid false positives?

Findings are evidence-gated: a working proof-of-concept and impact analysis are required before anything is reported, with automatic deduplication and false-positive learning.

Is it safe to run against production?

Testing stays inside the scope you authorize, uses non-destructive validation, runs isolated per client, and logs every action. Assessment traffic is signed and attributable.

Will it fit our workflow?

Findings export to Jira, SARIF/CI, and PDF with remediation guidance, and you can steer a live assessment in real time.

What can I test today?

Web applications and APIs are available now. Infrastructure (Active Directory, cloud, on-prem) and mobile are on the roadmap.

Can Raid11 find a way into your app?

Book a demo and we'll run an autonomous assessment against a target you choose.