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Find what attackers will find. First.

Mockingjay pairs continuous scanning across your web apps, APIs, networks, cloud and AI systems with on-demand pentests from security experts. Every finding lands in one platform, with the proof your engineers need to fix it and the reports your auditors ask for.

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app.mockingjay.io/acme/overview
Security overview
Acme Corp · 1,284 assets · last 30 days
Open findings47▼ 18% vs last 30d
Exploitable crit.21 confirmed today
Mean time to fix6.2d▼ 2.1 days
Surface tested96%37 new assets
Active pentestLive
Q4 external, API & LLM pentest
Day 6 of 10 · 142 test cases · 9 findings · 3 testers
PTaaSGenAINetworkDASTAPI SecurityCloud
  • CriticalAPI Security
    Broken object-level authorization on invoice IDsIn retest
  • CriticalPTaaS · Grey box
    Privilege escalation via role parameter tamperingFix in progress
  • HighGenAI · Harness
    Indirect prompt injection through retrieved documentsOpen
  • HighNetwork · Internal
    SMB signing disabled enables NTLM relay to domain adminTriaged
Illustrative product view · sample data

Six ways to test. One place to see what's exploitable.

Run each product on its own or together. Findings from every source are deduplicated, prioritised by exploitability and tracked through to a verified fix.

PTaaS Platform

Expert-led pentests, delivered like software.

Scope and launch engagements from the platform. Security experts test business logic, chain vulnerabilities and probe what no scanner models. You see each finding the moment it's logged, not in a PDF weeks later.

Explore PTaaS
  • Scope in the platform. Web, mobile, API, cloud, network and AI targets, with rules of engagement agreed up front.
  • Live findings and tester chat. Ask the person who found it, while the engagement is still running.
  • Retests and audit-ready reports. Request a retest from any finding; export executive and technical reports.
Choose how much testers know going in
  • Black box

    No credentials or internal knowledge. Testers attack like an outsider would, starting from what's publicly reachable.

  • Grey box

    User-level accounts and architecture notes. Simulates a compromised user or insider and gets deeper coverage in the same time.

  • White box

    Source code, configs and admin access. Testers pair code review with live exploitation to find flaws that are hard to reach from outside.

GenAI Penetration Testing

Test the model, and everything you've built around it.

LLM features fail in two places: in the model's behaviour, and in the harness of prompts, retrieval, tools and agent permissions wrapped around it. We test both, mapped to the OWASP Top 10 for LLM Applications.

Explore GenAI testing
Model levelHow the model itself responds under attack.
  • Jailbreaks and guardrail bypass
  • Direct prompt injection
  • Training and system prompt leakage
  • Harmful, biased or unsafe output
Harness levelThe application, data and tools around the model.
  • Indirect injection via RAG sources
  • Tool and agent abuse, excessive agency
  • Insecure output handling
  • Cross-tenant data exposure
Network Penetration Testing

From the internet edge to domain admin.

  • External perimeter, VPN and exposed services
  • Internal network, Active Directory and lateral movement
  • Segmentation and firewall rule validation
Explore network testing
DAST Scanner

Authenticated scanning for modern web apps.

  • Crawls single-page apps behind login and MFA
  • Runs on schedule or as a CI/CD gate
  • Validates findings to cut false positives
Explore DAST
API Security Platform

Find every endpoint, then try to break it.

  • Inventory from OpenAPI, Postman and traffic
  • Surfaces shadow and deprecated APIs
  • Tests BOLA, BFLA and the OWASP API Top 10
Explore API security
Cloud Vulnerability Scanner

Misconfigurations and exposure across your clouds.

  • Agentless across AWS, Azure and Google Cloud
  • CIS benchmark and framework checks
  • Flags publicly exposed assets first
Explore cloud scanning

Automation for coverage. Experts for depth.

Scanners catch known vulnerability classes the day they ship. People find the logic flaws and attack chains scanners can't. You need both, and you shouldn't have to manage them in two places.

Continuous

Scanners on every deploy

DAST, API and cloud scanners run on schedule and from your pipeline, so new exposure is caught in hours instead of at next year's test.

  • Scheduled and CI/CD-triggered scans
  • Alerts when new assets or endpoints appear
  • Validated findings, not raw scanner output
On demand

Pentests when it matters

Before a launch, after a major release or ahead of an audit, book an expert engagement scoped to exactly what changed.

  • Business-logic and authorization testing
  • Chained, multi-step attack paths
  • Testers who explain how they got in

Both feed one findings stream: deduplicated across sources, ranked by exploitability, and mapped to the frameworks your auditors ask about.

From scope to signed-off report in four steps.

  1. 01

    Scope

    Connect your assets or upload a scope. Rules of engagement are agreed in a single call.

  2. 02

    Test

    Scanners start right away. Expert testing begins in your scheduled window.

  3. 03

    Fix

    Findings arrive with reproduction steps and fix guidance, pushed to Jira, GitHub or Slack.

  4. 04

    Prove

    Retest the fix, then export reports mapped to SOC 2, ISO 27001, PCI DSS and HIPAA.

Proof for engineers. Clarity for leadership.

For engineering teams

Every finding comes with the exact request, the response that proves it, and a fix written for your stack. Push it to your tracker in one click and request a retest when it ships.

For security leaders

Track risk and time-to-fix across every product and team, then hand the board and your auditors reports they can read without a translator.

CriticalCVSS 9.1API SecurityConfirmed by tester
Broken object-level authorization on GET /api/v2/invoices/{id}
api.example.com · Found by API scanner · Confirmed by expert tester
Reproduce
GET /api/v2/invoices/48213 HTTP/1.1
Host: api.example.com
Authorization: Bearer <token for user_b>

HTTP/1.1 200 OK
{ "invoice_id": 48213, "owner": "user_a", "total": "…" }
Fix

Check ownership on every object lookup. Derive the owner from the authenticated session, never from the request path or body.

Create Jira issueRequest retestTester note: also reproducible on /receipts/{id}

Fits the way you already ship.

Findings go where your team works. Scans start from your pipeline. Cloud accounts connect read-only.

Ticketing
JiraLinear
Code and CI/CD
GitHubGitLabAzure DevOpsJenkins
Alerts
SlackMicrosoft Teams
Cloud
AWSMicrosoft AzureGoogle Cloud
Build your own
REST API + webhooks

Questions we hear first.

A traditional pentest ends in a PDF weeks after testing finishes. With Mockingjay you scope and launch engagements in the platform, see each finding as soon as a tester logs it, message testers directly, and request retests without opening a new statement of work.

Know what's exploitable before someone else does.

Get a walkthrough scoped to your web apps, APIs, cloud accounts and AI features, and a testing plan you can take to your next audit.

Book a demo