Offensive security consulting

Find the path.
Prove the impact.

Penetration testing and adversary-informed assessments that turn exposed systems, trust boundaries, and real exploit chains into evidence engineering teams can act on.

Attack-path focused Artifact trail Retest-ready evidence
Explore a surface Web / API path

How engagements run

Follow a typical assessment from scope to closure.

Each stage turns uncertainty into a useful artifact: an agreed scope, a testable map, controlled proof, fix-ready reporting, and a documented final state.

01 / scope

Define the test before touching the target.

Assets, roles, constraints, testing windows, accounts, stop conditions, and evidence rules become the shared starting point.

scope brief / rules of engagement

Illustrative workflow — select a stage to explore the handoff.

RTW
Typical engagement
Plan
01
Scope assets / roles / constraints
02
Map trust paths / boundaries
Test
03
Validate manual proof / impact
Close
04
Artifacts evidence / fixes / owners
05
Retest closure / residual risk
scope brief surface map evidence pack retest note

Services

Assessment work for exposed systems, applications, and teams.

/01

Web, API, and mobile penetration testing

Manual testing for authentication, authorization, business logic, session handling, data exposure, and exploitable implementation flaws.

  • Auth flows
  • API abuse
  • Business logic
Build a scope for this lane
/02

External and internal network assessments

Exposure review, attack surface mapping, privilege path validation, lateral movement analysis, and practical hardening guidance.

  • Exposure
  • Privilege paths
  • Segmentation
Build a scope for this lane
/03

Cloud and identity security review

Configuration and identity-path assessment across cloud services, exposed workloads, access boundaries, secrets, and operational controls.

  • IAM
  • Secrets
  • Workloads
Build a scope for this lane
/04

Red-team and adversary simulation

Goal-driven exercises that test detection, response, segmentation, identity controls, and the organization’s ability to stop realistic chains.

  • Objectives
  • Detection
  • Response
Build a scope for this lane
/05

Source-assisted security review

Hybrid application testing that uses source access to validate hard-to-see flaws, unsafe patterns, and fixes with higher confidence.

  • Code paths
  • Unsafe patterns
  • Fix review
Build a scope for this lane
/06

Retesting and remediation validation

Focused verification after fixes, with clear pass/fail evidence and practical notes for remaining risk or compensating controls.

  • Closure
  • Residual risk
  • Control checks
Build a scope for this lane
/07

AI security testing

  • Prompt injection
  • Agent boundaries
  • AI authorization

Assessment of AI-enabled applications, LLM features, and agents: prompt-injection and tool-abuse paths, MCP and agent trust boundaries, retrieval data exposure, and authorization around AI-triggered actions.

How AI testing runs Build a scope for this lane

Coverage

Coverage that shows its work.

The assessment starts with the real environment — assets, routes, roles, and trust boundaries — then turns that map into explicit test premises. Each premise closes with evidence: proven, refuted, or not applicable.

Surface class Mapped Premises Validated Evidence
Auth & session routes / roles drafted manual filed
Access control objects / tenants drafted manual filed
Injection & parsing inputs / formats class review n/a documented
Business logic workflows drafted in flight pending
Identity & infra edge boundaries drafted agreed scope filed
AI & agent workflows tools / trust flows abuse cases manual filed
AI & agent workflows

Where the target includes LLM features, agents, or MCP-style integrations, the same premise-driven method applies: threat-model the application around its model, tools, and data flows, then validate concrete abuse cases with evidence.

  • LLM app threat modeling
  • Prompt injection & tool abuse paths
  • Agent / MCP trust boundaries
  • Retrieval & data exposure
  • Authorization around AI actions
  • Abuse-case validation
  • Logging & evidence handling
Premises, not checklists

Each test is an explicit exploit premise tied to a mapped route, role, or trust boundary, then validated or refuted by hand.

Negative results are work

When a bug class does not apply or an attack fails, the attempt and the reasoning are recorded. A quiet report still shows what was tried.

Contained by design

Impact proofs run inside agreed stop conditions, carry a blast-radius note, and end with cleanup and a verified final state.

AI security

Security testing for AI-enabled applications.

Products that ship LLM features, agents, or MCP-style tool integrations get tested like any other attack surface: threat-model the workflow first, then validate concrete abuse cases with reproducible proof.

  • LLM application threat modeling
  • Prompt-injection and tool/plugin abuse paths
  • Agent and MCP trust boundaries
  • RAG and retrieval data exposure
  • Authorization around AI-triggered actions
  • Sensitive data in logs and evidence handling

Findings ship with remediation guidance across prompts, tool permissions, data boundaries, and monitoring — and a retest path once fixes land.

User & untrusted input prompts / files / upstream content
Model instruction hierarchy / injection handling
Tools & actions tool abuse paths / MCP scopes / side effects
Retrieval & data RAG exposure / tenant and source separation

Sample output

See how evidence becomes fixable work.

Executive risk summary

Three decisions, not thirty pages of noise.

A leadership view connects verified attack paths to business impact, control priorities, and the decisions that unblock remediation.

  1. 01What changedVerified exposure and affected assets
  2. 02Why it mattersReachable impact in plain language
  3. 03Where to investPriorities tied to the attack path

Best fit

For teams that need defensible evidence across engineering and assurance.

Useful when a report must stand up to both technical review and assurance requirements.

Useful before launch, after major architecture changes, after acquisitions, or before customer security reviews.

Useful when leadership needs to know which exploitable paths matter first and why.

Credentials

Selected credentials held.

The credential inventory spans offensive security and exploitation on one side, and the network and platform stack under test on the other.

Offensive security & assessment

  • Certified Information Systems Security Professional (CISSP) ISC2
  • Offensive Security Certified Professional (OSCP) OffSec
  • Offensive Security Experienced Penetration Tester (OSEP) OffSec
  • Offensive Security Wireless Professional (OSWP) OffSec
  • Hack The Box Certified Penetration Testing Specialist (HTB CPTS) Hack The Box
  • Hack The Box Certified Web Exploitation Specialist (HTB CWES) Hack The Box
  • HTB Certified Web Exploitation Expert (HTB CWEE) Hack The Box
  • HTB Certified Active Directory Pentesting Expert (HTB CAPE) Hack The Box
  • Altered Security Certified Azure Red Team Professional Altered Security
  • eLearnSecurity Web Application Penetration Tester eLearnSecurity

Network & platform security

  • Cisco Certified Network Associate (CCNA) Cisco
  • Cisco Certified Network Professional (CCNP) Enterprise Cisco
  • Cisco Certified Network Professional Security (CCNP-S) Cisco
  • Check Point Certified Security Administrator (CCSA) Check Point
  • Check Point Certified Security Expert (CCSE) Check Point
  • Palo Alto Networks Accredited Configuration Engineer (ACE) Palo Alto Networks
  • Certified SonicWall Security Administrator (CSSA) SonicWall

Certification marks and badge artwork remain trademarks of their respective issuers and are shown here to identify credentials held.

Scope builder

Turn a few choices into a useful first email.

Everything here runs locally in your browser. Nothing is submitted or stored by the website; the final step opens your email app.

What needs testing?

What prompted the work?

What is the timing?