Full-stack coverage

External, internal, web application, API, cloud, Kubernetes and identity testing from one platform.

Safe automated exploitation

RoE-gated proof-of-exploit with a strategy engine that picks the best technique per finding.

Evidence-first findings

Every exploited finding carries a full evidence trail. Proof, not guesswork.

Continuous cadence

Scheduled scans, 7-day asset re-verification and drift detection between runs.

Compliance-mapped reporting

Findings map to 8 compliance reporting frameworks plus CIS Benchmarks in your reports.

Human-in-the-loop

Automation runs the repetitive, high-volume testing so people can focus on creative work.

What is automated penetration testing?

Automated penetration testing is the use of software to carry out the repeatable parts of a penetration test without a tester driving each step: enumerating assets, probing them for weaknesses, attempting controlled exploitation of what it finds, and producing evidence and reports. The scope and the safety limits are set by people in advance.

It is for teams that need testing more often than a consulting budget or a tester's calendar allows: in-house security functions covering more assets than they can reach by hand, engineering teams that want a fix verified the day it ships, and service providers testing many clients at once. It fits best where the work is repeatable and volume is the constraint, and least where the answer depends on judgement, which is why the section below is explicit about the limits.

What automated penetration testing is (and is not)

Automated penetration testing uses a platform to run the discovery, scanning, validation and reporting work of a penetration test continuously, instead of compressing it into a short engagement once a year. Where a vulnerability scanner stops at detection, an automated pentest platform goes further: it safely exploits confirmed findings to prove what an attacker could actually achieve.

We are equally clear about what it is not. Automated testing is not a replacement for skilled human penetration testers. Novel business-logic flaws, unusual trust relationships and judgement calls remain human work. PentestOps runs the repetitive, high-volume testing so humans can focus on the creative work that automation handles poorly.

In practice most organisations use both: an automated platform for breadth, cadence and regression coverage, and targeted manual engagements for depth. Each makes the other more effective.

What the platform automates

PentestOps covers the full attack surface from a single platform, with Stealth, Balanced and Aggressive scan profiles to match the sensitivity of each environment.

  • External perimeter. 24+ external recon modules map your internet-facing footprint: subdomains, exposed services and the paths an attacker would try first.
  • Internal networks. The on-prem agent deploys in about 5 minutes with 0 inbound firewall rules, connects outbound-only over TLS 443 and runs 18+ internal modules natively on the LAN instead of tunnelling every packet out to a remote scanner, including Active Directory enumeration and credential testing.
  • Web applications and APIs. OWASP Top 10 and API Top 10 coverage across REST and GraphQL, including SQL injection, XSS, SSRF, IDOR and authentication bypass, with findings streamed live over WebSocket.
  • Cloud. 800+ automated checks across AWS, Azure, GCP and M365, with CIS Benchmark coverage.
  • Kubernetes. Agentless auditing through a customer-supplied read-only kubeconfig. No agent or DaemonSet to install in the cluster.

Safe automated exploitation

Detection tells you a vulnerability might exist. Exploitation proves it. The PentestOps exploitation framework runs safe, auditable proof-of-exploit against confirmed findings: a strategy engine auto-picks the best technique per finding, and phased exploit chains show how one weak credential can become a full pivot.

Safety is engineered in, not assumed. Every exploit action is gated by your per-tenant Rules of Engagement, and scope enforcement automatically stops any activity outside authorised assets. Every step is captured in a full evidence trail, so a finding marked exploited comes with proof, not guesswork.

How it works

Automated testing follows the same 7-phase methodology as any disciplined engagement, built on PTES, the OWASP Web Security Testing Guide v4.2 and NIST SP 800-115, and aligned to CREST testing methodology guidance.

  • Onboard assets. Add public IPs, hostnames, web apps, internal targets, cloud accounts and Kubernetes clusters. Each cloud account or cluster counts as one asset.
  • Discover. Reconnaissance and agent-based LAN discovery build a live inventory, with 7-day asset re-verification and drift detection.
  • Scan. External, internal, web, API, cloud and identity modules run on your schedule.
  • Analyse. Findings are correlated and prioritised using CVSS v3.1, exploit availability and CISA KEV, with false-positive reduction and AI-powered triage.
  • Validate. Safe exploitation confirms which findings are genuinely exploitable.
  • Report. Findings map to 8 compliance reporting frameworks (OWASP Top 10, PCI DSS v4.0, NIST 800-53, SOC 2, HIPAA, GDPR, ISO 27001, SMB1001) plus CIS Benchmarks for AWS, Azure, GCP and Kubernetes, in multiple formats including PDF, CSV and JSON/API.
  • Repeat. Scans are unlimited within fair use, so re-testing a fix is a click, not a change order.

Automated platform or manual engagement?

The honest answer is that they solve different problems. This is how the two approaches compare in practice.

AspectTraditional manual pentestPentestOps automated testing
CadencePoint in time, typically annual or per major releaseContinuous, with scheduled scans and re-checks between them
CoverageDeep on a narrowly defined scopeBroad across external, internal, web, API, cloud and identity
ExploitationManual and expert-drivenSafe, RoE-gated automated exploitation with an evidence trail
Novel logic flawsA strength of experienced testersOut of scope for automation; pair with manual testing
Feedback speedReport delivered after the engagementFindings stream live as scans run
RepeatabilityVaries with tester and scopeThe same methodology on every run
Cost modelQuoted per engagementAsset-wise pricing, unlimited scans within fair use

Where humans still matter

The best automated programme still leaves room for people. Chained business-logic abuse, bespoke application quirks and the intuition to try the strange thing that works are human strengths, and we say so plainly.

That is why teams combine PentestOps with periodic manual engagements: automation keeps coverage continuous and re-tests every fix, while human testers spend their limited hours on the problems only they can solve. Consultancies and managed service providers run the same model for their clients through the platform.

Why PentestOps for automated testing

Plenty of products automate detection. PentestOps automates the parts that make a penetration test a penetration test: validation, evidence and reporting you can hand to an assessor.

  • Validation, not just detection: safe exploitation with a full evidence trail on confirmed findings.
  • One platform for the full stack: external, internal, web, API, cloud, Kubernetes and identity.
  • Internal testing without VPNs or jump hosts: a single outbound-only agent with 0 inbound firewall rules.
  • Self-hosted AI triage by default, so scan data is not sent to third-party model providers.
  • 8 compliance reporting frameworks plus CIS Benchmarks, with reports in multiple formats including PDF, CSV and JSON/API.
  • Australian-built and operated. Customer data is stored in Australia, and Extranet Systems Pty Ltd is ISO/IEC 27001:2022 certified.
  • Asset-wise pricing: pay for what you actually scan, with unlimited scans within fair use.

Frequently Asked Questions

Is automated penetration testing as good as a manual pentest?

They are good at different things. Automation delivers breadth, cadence and repeatability; experienced humans deliver depth and creativity, especially on business-logic flaws. PentestOps is designed to run the repeatable majority of testing and to complement, not replace, manual engagements.

Is automated exploitation safe to run against production?

Exploitation is engineered for safety: it is gated by your per-tenant Rules of Engagement, scope enforcement automatically stops activity outside authorised assets, and Stealth, Balanced and Aggressive scan profiles let you match intensity to the environment. Every action is recorded in an evidence trail.

What is the strategy engine?

It is the part of the exploitation framework that auto-picks the best technique for each confirmed finding, rather than throwing every exploit at every host. Combined with phased exploit chains, it can demonstrate how one weak credential leads to a wider compromise, safely and with evidence.

How often can we run scans?

As often as you need. Scans against your assets are unlimited within fair use; pricing is based on how many distinct assets are in scope, not how often you test them. Professional and Enterprise plans include scheduled scans for a regular cadence.

What can PentestOps test automatically?

External perimeter, internal networks via the outbound-only agent, web applications and APIs (OWASP Top 10 plus API Top 10, REST and GraphQL), cloud accounts across AWS, Azure, GCP and M365, Kubernetes clusters agentlessly, and identity systems including Active Directory.

Will automated pentest reports satisfy our compliance obligations?

Reports map findings to 8 compliance reporting frameworks (OWASP Top 10, PCI DSS v4.0, NIST 800-53, SOC 2, HIPAA, GDPR, ISO 27001, SMB1001) plus CIS Benchmarks, which gives assessors the mapping they expect. Whether a specific obligation accepts automated testing is a question for your assessor, and we recommend confirming it early.

Do we need to install anything to get started?

External, web, API, cloud and Kubernetes testing need no software on your side. For internal network testing, the on-prem agent ships as a Docker container, RPM or DEB package, deploys in about 5 minutes and needs 0 inbound firewall rules; it connects outbound-only over TLS 443.

How does the platform keep false positives down?

Three layers: correlation and false-positive reduction during analysis, context-aware AI triage, and safe exploitation that validates whether a finding is genuinely exploitable before it is reported as such. Proven findings carry the evidence to show it.

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