stale coverage
traditional pen tests are snapshots. by the time the report lands, your codebase has changed. new endpoints, new JS, new attack surface — untested.
sheet 01general arrangementfig. 01 · 3 stages · 1 pipeline
continuous offensive security
your infrastructure.under constant attack.by us.
one continuous offensive-security system working your attack surface — recon, exploitation, triage — within your agreed rules of engagement and rate limits. every finding validated and demonstrated with a working proof-of-concept by our offensive team. dedicated infrastructure. zero noise.
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sheet 02bill of materialsparts as ballooned on fig. 01
itemqtydescriptionremarks
1
specialist methodologies
each carries a complete attack methodology
2
security tools
orchestrated as one — recon, exploitation, triage
3
vulnerability classes
injection · auth · client-side · infra · data/logic · framework
4
5
proprietary engines
enigma XSS · enigma SSRF · parallax cache · JS taint analysis · token entropy prediction
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trace37t37 disclosures
sheet 03 the problem
annual pen tests are a checkbox, not a strategy
- your attack surface changes frequently
- new JavaScript deployed, APIs updated, integrations added
- a point-in-time assessment is out of date the next day
scanner fatigue
automated scanners produce noise, not findings. they catch CVEs and misconfigurations but miss business logic flaws, auth bypasses, and chained vulnerabilities.
expensive spikes
dedicated red team engagements cost £30–100K+ per exercise. most organisations can only afford this annually, leaving 11 months of blind spots.
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sheet 04 how it works fragments refer to fig. 01
ai-coordinated offensive pressure, human-validated results
- mastermind-ai analyses your attack surface
- runs recon, exploitation and triage as one continuous pipeline
- every finding validated by our offensive team before it reaches you
- 01
scope & deploy
we agree rules of engagement and configure your attack surface. all tooling runs locally on a hardened server — zero SaaS platforms processing or storing your data. your findings, scan results, and credentials never leave the environment. encrypted mesh network, SSH-only access.
- 02
monthly focus
each month we agree where to concentrate human effort. pre-production releases, new rollouts, areas of concern, compliance-driven priorities — you set the direction, we execute. ai scans the full stack continuously; human strategy targets what matters most right now.
- 03
ai-driven reconnaissance
mastermind-ai continuously monitors for new subdomains, endpoints, code changes, and exposed secrets. when your attack surface changes, the pipeline re-tests it within hours — no manual trigger.
- 04
intelligent triage
mastermind-ai prioritises targets based on risk signals — unprotected endpoints, parameter reflection, authentication gaps, JS sinks. it routes each target to the right specialist — xss-hunter, auth-hunter, cspt-hunter, websocket-hunter — each drawing on a live knowledge base of real-world bug reports, current CVEs, and published research. every finding we report feeds back in. the system gets sharper with every engagement.
- 05
human-validated exploitation
we review every ai finding before it reaches you. then go deeper — vulnerability chaining, WAF bypass, business logic abuse. impact is proven with evidence, not theoretical risk scores. every reported vulnerability is real.
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sheet 05 the engine7 layers · top to bottom
one coordinated system. seven layers deep.
every hunt flows top to bottom — and every finding flows back up. hover any layer to explore it.
hover or focus a layer to see what it does
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sheet 06 zero noise guarantee detail of fig. 01 · stage 03 · 2 passes
ai-accelerated, human-proven — before any of it reaches you
ai doesn't get the last word. every candidate finding is worked through a two-pass gate — ai accelerating, a human deciding. it has to be reproduced by hand, then survive a deliberate attack on its own validity. only what a human confirms is real reaches you; everything else is dropped.
pass 01
independent evaluation
we rebuild it from scratch — fresh context, nothing assumed from the hunt. the impact has to reproduce under our own hands, not just in the ai's logs. if it doesn't, it's gone — not queued, not re-tried.
- fresh context — no assumptions carried from the hunt
- reproduced by hand, not taken on the ai's word
- impact demonstrated, not theorised
- doesn't reproduce → gone, no escalation
must pass
pass 02
adversarial red-team review
then we go after the finding ourselves — pressure-testing severity and exploitability, hunting false positives, making sure the impact is exactly what we'd claim. the ai surfaces the angles; the call is ours.
- adversarial stance — actively looking for reasons to reject
- severity decided by a human, not inherited
- false positives hunted: response analysis, auth-state checks
- doesn't hold up → gone, regardless of pass one
must pass
the gate rule
both passes are required, and a human signs off on the result — ai for speed and coverage, a person for the final call. a finding that clears reproduction but fails the red-team is dropped; one that can't be reproduced never gets that far. no override, no escalation path around the gate.
fail either → discarded pass both → reported
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sheet 07 capabilities 4 panels · each with a labs write-up
one coordinated offensive. every vulnerability class, continuously.
- each specialist follows a complete adaptive attack methodology, not a checklist
- specialist handoffs enable static analysis, decision trees, evolutionary payload mutation, vulnerability chaining
- mastermind-ai thinks like an attacker. the human proves the impact
attack surface intelligence
we map everything. hidden subdomains, undocumented APIs, JavaScript sinks, leaked secrets. mastermind-ai builds a live model of your attack surface and updates it continuously.
- hidden subdomain & API discovery
- JavaScript taint analysis (sink/source tracing)
- leaked credential & secret detection
- historical endpoint recovery (wayback, archives)
- technology fingerprinting & CVE/CWE matching
deep exploitation
this is where the real bugs live. our ai hunters chain vulnerabilities, bypass WAFs, and abuse business logic. proprietary engines for XSS and cache poisoning, validated against real-world defences.
- XSS with autonomous WAF bypass (proprietary enigma 5-rotor engine)
- OAuth/JWT/SAML authentication chain attacks
- web cache poisoning & deception (proprietary parallax toolkit)
- SSRF, SSTI, deserialization, race conditions
- AI/LLM security — prompt injection, sandbox escape, safety classifier bypass
- vulnerability chaining & impact escalation
persistent surveillance
your attack surface changes frequently. we catch it the same day. we diff your site, review the impact of changes — unintended consequences, new attack vectors, removed controls. the ai flags what matters.
- attack surface change detection & impact review
- new subdomain & shadow IT discovery
- CVE/CWE correlation against your live stack
- API endpoint drift detection
- third-party dependency risk tracking
proof, not theory
every finding comes with a working proof-of-concept. we demonstrate real impact — data accessed, auth bypassed, code executed. if we can't prove it, we don't report it.
- working PoC for every finding
- demonstrated impact (not CVSS guesswork)
- remediation guidance with code-level context
- monthly intelligence summary
- retest verification after your fix
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sheet 08 built to scale 110+ skills · 6 domains · 5 panels
depth without the headcount
the platform is not a force multiplier — it is a capability that cannot be assembled from individual practitioners. here is what that means in practice.
depth
110+
specialist skills
a deep, curated library of specialist capabilities — covering reconnaissance methodology, exploitation techniques, evasion strategies, platform-specific attack patterns, and post-discovery analysis. each skill encodes hard-won knowledge from real engagements, kept current as the threat landscape evolves.
paired specialist dispatch
each engagement pairs an attack specialist with a research specialist — offensive execution and intelligence gathering run in parallel, not in sequence. findings are deeper, faster.
continuous scheduled hunting
hunting runs on a schedule, not on demand. your attack surface is re-evaluated at regular intervals — new endpoints, changed JS, drifted configuration. no manual trigger required.
self-learning platform
every confirmed finding enriches the knowledge base. patterns from one engagement inform targeting strategies on the next. the platform gets sharper with each deployment — not just more data, but better judgement.
coverage
full-spectrum offensive security
from web and mobile apps, to the APIs behind them, to native binaries, reverse engineering and cryptography — the full offensive surface, not a fixed list. the same depth, and the same two-pass gate, wherever a weakness can hide.
web & mobile
APIs
binaries
reverse engineering
cryptography
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sheet 09 one system, human-gated 1 coordinator · 110+ specialists · 1 human gate
one system, human-gated
the system does the hunting. a researcher makes the call.
- not a scanner with an ai label
- mastermind-ai runs recon, exploitation and triage as one pipeline
- human researcher validates, exploits, and proves impact
coordinator
mastermind-ai
analyses your attack surface, routes each target to a specialist, triages + prioritises findings
xss-hunterenigma WAF bypass engine
auth-hunterOAuth / JWT chain attacks
sqli-hunterblind / OOB extraction
cache-hunterparallax toolkit
… and more110+ specialists · 60+ vuln classes
human researcher
validates every finding
proves real-world impact, chains vulnerabilities
you get: proven vulnerabilities with working PoC. zero noise.
ai does this
the full attack cycle. reconnaissance, exploitation, WAF bypass, vulnerability chaining — not just scanning. proven methodologies for every vulnerability class, run across your entire surface.
humans do this
hunt strategy. directing agents based on experience. novel attack chains that need creativity. business logic that requires understanding your business. final validation. the report you receive.
the triage gate
every finding passes our bug-triage gate. proven impact — data leaked, auth bypassed, code executed — gets escalated urgently. lower-severity findings are still reported, just without the fire alarm.
the combination
ai makes this accessible. expertise makes it work.
- every agent carries the methodology of a specialist — not a generalist scanner, a focused expert in its vulnerability class. probing, testing resistance, looking for the doors that open
- built on a growing body of offensive security research — published techniques, disclosed vulnerabilities, emerging attack classes. the platform learns from the field, not just from us
- the result: findings that neither pure automation nor manual testing alone would uncover
what ai handles
what humans handle
full attack cycle — recon through exploitation
hunt strategy & target prioritisation
WAF bypass & payload mutation at scale
novel attacks requiring creativity
vulnerability chaining & pattern recognition
business logic & real-world judgment
310+ tools coordinated autonomously
final validation & remediation guidance
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sheet 10 built from the field 5 engines · see bill of materials
built from the field
mastermind-ai. built from the field, not a lab.
- mastermind-ai is the engine — one pipeline from recon to validated finding, with experienced humans in the loop
- built by active bug hunters from real engagements and real research against real defences
- every finding we report feeds back in — the engine gets sharper with every engagement
practitioner-built
active on major bounty platforms and publishing original research — from web application exploitation to AI sandbox security. mastermind-ai was built to solve our own problems first. now it works for you.
proprietary engines
enigma — XSS with autonomous WAF bypass, with SSRF and email-parser fuzzing siblings; parallax — web cache poisoning & deception; JS taint analysis; UUID & token entropy prediction; gRPC transcode confusion. each validated against real-world defences.
business systems background
infrastructure architecture, business systems, technology leadership. we understand the systems we're attacking — not just the vulnerabilities, but the business logic underneath.
secure by default
encrypted infrastructure, zero-trust access, mesh networking. your data handled with the same rigour we apply to testing yours.
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sheet 11 get started input — your scope
ready to see what we'd find?
send us your scope. we'll probe it, send you initial findings and walk you through them on a free intro call.
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