External Network Penetration Testing
Attack-surface discovery and exploitation across everything you expose to the internet: perimeter services, remote access, cloud-hosted assets, and the forgotten hosts that never made it onto the inventory.
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Most of an external test's hours go to finding and sorting what you expose: hosts, services, logins, forgotten subdomains. Agentic tooling covers that ground in a fraction of the time, so you get a credible, human-validated answer about your perimeter in days instead of weeks.
Overview
This is a packaged engagement, not an add-on. Scope is bounded to what you expose to the internet, the quote is fixed before testing starts, and the delivery date is agreed up front. It is built for teams that need a fast, defensible external test: an annual requirement, a customer security questionnaire, a new environment going live, or a check between full-scope engagements.
AI agents handle discovery and enumeration across your agreed scope: mapping live hosts and services, ranking what they find by how an attacker would actually use it, testing exposed logins for weak or reused credentials within lockout-safe limits, and pursuing exploitation where a real path exists. A consultant then reproduces every candidate finding by hand. If it cannot be reproduced, it does not make the report.
The agents run through the same isolated infrastructure as all of our AI-assisted testing: an isolated Amazon Bedrock deployment inside our own dedicated AWS environment, or a private model on bare metal we operate in-house. Your scan data and findings are never sent to a shared consumer AI product and never used to train anything.
We are explicit about what this is not. It is not a scanner subscription, a red team, or a substitute for testing your internal network. For a fast, fixed-scope look inside the perimeter, see the five-day Rapid Assessment; for chained attack paths, Active Directory, and cloud identity, see our full external and internal penetration tests.
Coverage
Scope is agreed up front; these are the areas an engagement typically covers.
Methodology
Agree IP ranges, domains, credential-testing thresholds, any objectives you want pursued, and the delivery date. You receive a fixed quote, statement of work, and rules of engagement before anything starts.
AI agents enumerate and test your agreed scope. Scope is enforced in the tooling itself, and anything potentially disruptive waits for a consultant's approval before it runs.
A consultant reproduces every candidate finding by hand and discards anything that does not hold up. Exploitation that lands in your report was confirmed by a person.
Findings are written up by the consultant who validated them, ranked by real exploitability and business impact. A critical finding is flagged the day it is confirmed, not held for the report.
A live walkthrough of the results, plus validation steps for every finding so your team can confirm each fix on its own. Retesting by InFocus is available as an additional option.
Deliverables
Aligned to
Questions
AI-Assisted Penetration Testing describes how we use AI to speed up any engagement. This is a specific packaged product built on that approach: external scope only, fixed quote, fixed delivery date.
Both, on purpose. AI agents do the broad sweep a scanner cannot (prioritizing, chaining, and pursuing real exploitation paths), and a consultant reproduces every finding by hand before it is reported. Nothing goes in the report on the model's word alone.
Testing is designed not to. There is no denial-of-service testing and no exploits known to cause damage, credential testing stays inside lockout thresholds you agree to, and potentially disruptive actions need a consultant's approval. You also have a named contact who can halt testing at any time.
Often, for the external portion. Frameworks such as PCI DSS, SOC 2, and HIPAA commonly expect external testing, and the attestation letter is written for auditors and customers. Many also require internal testing, which this does not cover. Tell us the requirement during scoping and we will confirm whether this fits.
Either an isolated Amazon Bedrock deployment inside our own dedicated AWS environment, or a private model on bare metal we operate in-house. It is never sent to a shared consumer AI product, never used for training, and kept only for the engagement.
Yes. InFocus is Daybreak and Anthropic Offensive Trust approved: explicitly recognized to use frontier models for authorized offensive security testing under the vendor's own usage terms.
Related
Attack-surface discovery and exploitation across everything you expose to the internet: perimeter services, remote access, cloud-hosted assets, and the forgotten hosts that never made it onto the inventory.
Agentic AI accelerates reconnaissance, enumeration, and evidence correlation across an engagement, run through isolated infrastructure: Amazon Bedrock in a dedicated environment, or a private model on in-house bare metal when nothing can leave the building.
Get started
Scoping conversations are free and usually take twenty minutes. You will speak directly with the consultant who would do the work.
or reach out directly, (608) 520-0719 sales@infocus-security.com