The platform

The agentic collaborative platform for cybersecurity teams.

An AI agent runs the missions and proves which attack paths are real. Your team directs it, approves the deeper tests and acts on what it finds — all in one shared workspace.

One shared workspace

Where your team and the agent work together.

Sessions, missions, findings and coverage in one place. The agent does the work and keeps the record; the team reads it, approves what matters and picks up where anyone left off.

Home
Start a session — tell the agent what to look at
Sessions today64done·2running
Missions92running·7done
Findings149proven·5open
Surfaces23web · cloud · code
Recent sessions
  • External attack surface · acme.comdone
  • Cloud exposure reviewrunning
  • Re-test: rotated keydone
  • Mobile app teardownqueued
Team activity · 12 weeks
6 sessions·14 findings· busiest Thu
A mission, start to finish

Give it a task. Get back proof.

Give it a task
In plain language. The agent plans and runs the mission.
vypr / missions / yourcompany.com
One workspace, every surface of the job

Inventory to report, in one place.

The agent does the work and keeps the record; your team reads it, steers it and acts on it, from the asset inventory all the way to the report.

project · acme-prod23 assets
  • Network2
  • IP addresses2
  • External attack surface6
  • Exposed services6
  • Identity & governance9
  • Findings9
One platform for the whole team

Something for everyone who owns security.

  • Security leadsCoverage and proven risk at a glance, with reports ready for leadership and auditors.
  • Analysts & pentestersTask the agent, read the evidence, approve active tests and steer missions as they run.
  • EngineersFixes with the exact location and the evidence behind them, re-tested as soon as they ship.
  • ComplianceAn audit trail of every action, aligned to SOC 2, ISO 27001 and NIS 2 expectations.

We cover everything you run.

Web, APIs, mobile and desktop clients, cloud, code and the apps you depend on. The agent applies the right technique to each, and chains them the way a real attacker would.

Techniques
  • Web apps
    DASTFuzzingAuth testingBusiness logicAPI schemaIAM analysisExploit chaining
  • APIs
    DASTFuzzingAuth testingBusiness logicAPI schemaExploit chaining
  • Mobile apps
    DecompilationSASTSecret scanningFuzzingAuth testing
  • Desktop clients
    DecompilationFuzzingSASTSecret scanning
  • Cloud & infra
    Config reviewIAM analysisSecret scanningExploit chaining
  • Source code
    SASTSCASecret scanningExploit chaining
  • Third-party apps
    SCADecompilationDASTConfig reviewExploit chaining
  • Everything you runone agent · one view · chained end to end
Playbooks

Start from a playbook. Change it by asking.

Every playbook is a step-by-step SOP. Tell the agent what to change, in plain language, and it rewrites the SOP for you.

External attack surfaceWeb & API assessmentCloud exposure reviewMobile app teardownPre-release gate
Mobile app teardown
v1 · pre-built
  1. 01Pull the latest build from the app store
  2. 02Decompile the app and map its endpoints
  3. 03Scan the build for hard-coded secrets
  4. 04Test sign-in and session handling
  5. 05Fuzz the app’s API calls
  6. 06Prove reachable paths, with evidence
Tell the agent what to change
Skip the sign-in tests. Focus on the payment flow, and check the payment SDK too.

Start with a domain. Go deeper one connection at a time.

Nothing to install. Each connection lets the agent follow the same path further: from what’s exposed, to what it reaches, to the line of code that fixes it.

  1. 01 Connected
    Perimeter scanning
    You add · A domain
    yourcompany.com

    Everything an outsider can reach: hosts, apps, services, every route in. Nothing to install.

    The agent sees
    assets.yourcompany.com→Public bucket policy
  2. 02 Connected
    Cloud & infra scanning
    You add · Cloud access
    AWS · Google Cloud · Azure

    Follows each exposure inside: identities, permissions and misconfigurations, to what it can reach.

    The agent sees
    Cloud API key→Production database
  3. 03 Connected
    Code-level scanning
    You add · Your code
    GitHub

    Traces the path to the code behind it, down to the line that fixes it.

    The agent sees
    infra/storage.tf · line 14→Fix: make the bucket private
The model

The agent runs on Venom Zero.

Our own LLM, tailored to cybersecurity — built for reading code, tracing identity chains, writing exploits and packaging evidence. Deployed in our cloud, or on premises inside your network.

  • Tailored for cybersecurityTrained on the work: vulnerabilities, exploits, code and infrastructure. Not a general chatbot with a security prompt.
  • Cloud-hosted or on-premRun Venom Zero in our cloud, or deploy it inside your own network where the data already lives.
  • Your data stays yoursOn-prem deployments make no outbound calls. Prompts, findings and evidence never leave the environment.
  • Powers the whole agentRecon, pathing, executed PoCs and reports all run through Venom Zero — one model behind the daily round.
Model card
Venom Zero
nameVenom ZerotypeLLM · cybersecurity-tailoreddeploymentCloud · On-premdataStays in your environmentpowersThe agent's daily round
On-prem: air-gapped by design · no outbound calls
Safe by design

Built to be let into the systems that matter.

  • Starts passiveThe first pass only reads what is publicly observable. No access, no disruption.
  • Active needs consentGoing deeper takes a written scope and an approval, and stops the moment you say so.
  • Logged and auditableEvery action is recorded, aligned to SOC 2, ISO 27001 and NIS 2 expectations.
  • Your network, your dataOptional depth runs in your own environment, read-only, with no outbound calls.

Can Vypr get in?
Type your domain.