AI-AUGMENTED PENETRATION TESTING

AI makes us faster.

Our pentest experts make it matter.

AI is changing how penetration testing works. At the Security Factory, we’ve integrated AI tooling where it earns its place and kept manual testing at the core, where it always has been.

AI-accelerated recon, broader attack surface coverage.

Human specialists driving every engagement end-to-end.

Business logic flaws & chained exploits, not just CVEs.

Talk with a security expert

Security testing is evolving.

So are we.

AI-assisted tooling has genuinely improved parts of the penetration testing workflow. Faster reconnaissance. Broader attack surface mapping. Smarter pattern detection across complex environments.

We use these capabilities. They make our team more thorough and more efficient on the tasks that don’t require a specialist’s judgment.

What “AI-powered” usually means in practice

Most vendors using the term “AI penetration testing” are selling automated scanners with a language model layered on top. The result: faster reports, more volume, and significantly less signal. Known CVEs get flagged. Business logic flaws, chained exploits, and context-specific misconfigurations typically do not.

What it means at the Security Factory

AI accelerates the parts of a pentest where speed and scale add genuine value. A human specialist still drives every engagement, manually validates every finding, and goes where automated tools cannot.

Where AI makes a difference

Reconnaissance

AI accelerates open-source intelligence gathering and attack surface mapping, surfacing exposed assets and correlating data faster than manual review alone. The specialist enters the engagement with a sharper picture from the start.

Coverage at scale

On large, complex environments, AI-assisted scanning ensures no area goes uninspected. More ground covered in less time. Fewer blind spots going into the manual phase, where the real findings happen.

Triage and filtering

Before a specialist digs in, AI filters signal from noise. Our team spends time on findings worth pursuing, not chasing known CVEs that your vulnerability scanner already has on its list.

Why manual pentesting still matters

The most significant vulnerabilities are rarely the most obvious ones.

Creative exploit chaining

Real attackers chain vulnerabilities. A misconfigured endpoint that connects, in four steps, to your most sensitive data. None of those steps would be flagged individually by a scanner. Our ethical hackers work the same way real attackers do: manually, adaptively, in your environment.

Context no tool can replicate

Our specialists learn your environment, not just your topology. They understand what a finding means for your business, not just how it scores on a generic severity rubric. That context shapes which vulnerabilities get followed, and how far.

Manual verification of every finding

Every finding in a tSF report has been manually verified by a specialist before it reaches you. No false positives. No ghost-chasing. Findings your team can act on the same week you receive them.

Business logic flaws

The vulnerability that only makes sense when you understand how your systems connect. The flaw specific to how your application handles state, roles, or transactions. No AI model reliably finds these. They require a specialist who has been here before and knows where to push.

Outdated TLS configuration

TLSv1.0 still enabled on three endpoints. Known cipher weaknesses present.

↳ AI-assisted scan phase

Exposed admin panel (OSINT)

Admin interface indexed by search engines. Default credentials not rotated.

↳ AI-assisted reconnaissance

Privilege escalation via role confusion

API endpoint accepts role parameter client-side. Chained with session token reuse: full account takeover in 3 steps.

↳ Manual specialist testing

Payment bypass via state manipulation

Checkout flow allows order total modification before payment confirmation. Business logic flaw, not detectable by automated scanning.

↳ Manual specialist testing

Every tSF report is manually verified. No false positives.

Customers can log in and evaluate the security of their applications in real-time while we are testing

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Gurus, not all-rounders. That hasn’t changed.

Our specialists are domain experts in software, mobile, infrastructure, or social engineering. Not generalists with a toolbox. Not platforms running automated checks.

AI makes them faster. It doesn’t make them interchangeable with a scanner. The Security Factory’s trademark has always been manual penetration testing that goes where automated tools can’t. We’re integrating AI because it makes that work better, not because it replaces it.

in-house security specialists across all domains

false positives, every finding is actionable

days

you don’t have to wait for weeks, pentests whenever it suits you

100%

of findings manually verified before delivery

Let’s get in touch

Frequently Asked Questions

AI accelerates specific phases of a pentest: reconnaissance, coverage, initial triage. It doesn’t replace the specialist work that delivers findings worth acting on. A fast scan that misses the real vulnerability isn’t a bargain. It’s a liability. Our engagements are faster because AI handles what it handles well. The critical findings still come from the manual phase.

Automated scanning finds known vulnerabilities: CVEs, outdated software, misconfigured headers. AI-assisted scanning can go a bit further, detecting vulnerabilities like XSS or IDOR. Manual penetration testing finds the vulnerabilities specific to your environment: logic flaws in your application, chained exploits that move across your systems, misconfigurations that only matter in the context of how your infrastructure is connected. They answer different questions. Both matter. Most organisations that run automated scans still have critical findings in their environment that only manual testing reveals.

Every finding in our reports is manually verified by a specialist before it reaches you. We stand behind what we write. If a finding is in a tSF report, a human has confirmed it exists, can reproduce it, and understands what it means in the context of your environment.

In-house specialists, not subcontractors, not offshore teams, not platforms. Our 18-person team includes domain experts in software security, mobile security, infrastructure, and social engineering. Every engagement is assigned a specialist matched to what’s being tested. That’s what “gurus, not all-rounders” means in practice.