ART OF VECTOR

Independent cybersecurity validation

We test whether your
security actually works.

Independent cybersecurity validation through adversary simulation, penetration testing, and advanced security assessment.

Explore Services
PreventDetectRespondContainRecoverScroll

Services / 3 core engagements

Security, validated.

From adversary simulation to web and infrastructure penetration testing, we test the systems, controls, and attack paths that matter.

Question answeredDoes the organization's security actually work during an attack?

01 / Primary service

Cyber Resilience Validation

We simulate controlled attacks to validate whether security controls can prevent, detect, respond to, contain, and recover from real-world threats.

Focus areas

  • Security Control Validation
  • Detection & Response Validation
  • Attack Simulation
  • Incident Response Validation
  • Recovery Validation
  • AI / Agent Security Validation

Important distinction

Cyber Resilience Validation is NOT simply another penetration test. Its purpose is to validate the effectiveness of the organization's overall defensive capability across the full attack lifecycle.

Question answeredCan an attacker achieve the defined objective?

02 / Core service

Red Team Operations

We conduct objective-driven adversary simulations to identify attack paths, bypass defensive controls, and evaluate whether an attacker can achieve a defined mission.

Focus areas

  • Adversary Simulation
  • Attack Path Development
  • Initial Access
  • Privilege Escalation
  • Lateral Movement
  • Defense Evasion
  • Objective-Based Operations

Important distinction

Red Team Operations focuses on whether an attacker can accomplish an objective. Cyber Resilience Validation focuses on whether the organization's defensive and recovery capabilities actually work during the attack.

Question answeredWhat vulnerabilities can an external attacker discover with minimal prior knowledge?

03 / Core service

Blind Penetration Testing

We perform black-box security testing with limited prior knowledge to identify externally exploitable vulnerabilities and realistic attack paths across web applications, APIs, and infrastructure.

Focus areas

  • Web Applications
  • APIs
  • External Infrastructure
  • Cloud Services
  • Network Services
  • Kubernetes & Containers
  • Active Directory & Identity
  • Authentication, Authorization & Business Logic

Important distinction

Blind Penetration Testing is a testing methodology focused on discovering technical vulnerabilities from an external attacker's perspective. It is not Red Team Operations.

Methodology

Discover → Attack → Validate

Every engagement follows the same path, from what is exposed, to what is exploitable, to what your defenses actually did about it.

  1. 01

    DISCOVER

    Map the attack surface, architecture, assets, identities, applications, and exposed services.

    Output Asset and exposure map

  2. 02

    ATTACK

    Simulate realistic attack paths using controlled offensive security techniques.

    Output Reproduced attack paths

  3. 03

    VALIDATE

    Measure whether defensive controls prevent, detect, respond to, contain, and recover from the attack.

    Output Control effectiveness verdicts

Finding a vulnerability is only the beginning. We validate what happens when that vulnerability becomes an attack.

Cyber resilience

Do your security controls actually work?

We evaluate the effectiveness of your security controls throughout the attack lifecycle. Each phase is exercised with a controlled attack and measured, so you see which controls held, which failed, and how long each response took.

A blocked attack is a pass. An attack that went unseen, unanswered, or unrecoverable is the finding.

  1. ATTACKControlled adversary action is executed.

    MeasuresTechnique executed

  2. PREVENTDid a control block the path?

    MeasuresBlock or bypass

  3. DETECTWas the action observed and alerted on?

    MeasuresTime to detect

  4. RESPONDDid the right team act on it?

    MeasuresTime to respond

  5. CONTAINWas the impact kept from spreading?

    MeasuresBlast radius

  6. RECOVERWere safe operations restored?

    MeasuresTime to restore

Technical capabilities

Where we test.

These are testing scopes inside the three engagements above, not separate services.

A / APPLICATION04

  • Web Applications
  • APIs
  • Authentication
  • Business Logic Architecture

B / INFRASTRUCTURE05

  • Cloud Environments
  • Network Services
  • Kubernetes & Containers
  • Active Directory & Identity
  • External Attack Surface

C / ADVANCED02

  • AI / LLM / Agent Security
  • Adversary Simulation
Validation modulePart of Cyber Resilience Validation

AI & Agent Security

AI systems increasingly interact with APIs, databases, cloud infrastructure, and external tools. We test whether these systems can be manipulated into unsafe actions and whether existing controls can detect and contain those actions.

How it is validated
  • LLM Security
  • AI Application Security
  • AI Agent Security
  • Tool / API Abuse
  • Prompt Injection
  • Privilege Abuse
  • Data Exposure
  • Agent Action Validation

ABOUT / RESEARCH

INDEPENDENT BY DESIGN.

Art of Vector is an independent cybersecurity research and validation company. We do not resell security products, take referral fees, or rely on automated scanner output. Our work starts from the attacker's position and measures what your defenses actually do.

Read the lab journal

01 / INDEPENDENCE

No product to sell.

No reseller agreements, no vendor partnerships, no managed-service upsell. A finding is never shaped by what we would otherwise sell you.

02 / METHOD

Manual first. Scanners second.

Automated tooling produces leads, never findings. Every result is reproduced by hand under controlled conditions before it reaches a report.

03 / EVIDENCE

Reproducible or it is not reported.

Each engagement runs under written rules of engagement and NDA, and ends in evidence a defender can replay, measure, and act on.

  • Hypothesis-driven testing: every attack path is stated, attempted, and recorded, including the ones that failed.
  • Findings are graded against control effectiveness, not CVE counts.
  • Vulnerabilities we discover in third-party software follow coordinated disclosure.

Research & reports

Read how we work.

Lab journal notes and a sample report, published so you can judge the method before you engage.

02 / Sample report

API Security Assessment Report

A lab-sample report: scope, evidence, CVSS rating, and remediation for each finding. No client data.

View the sample

03 / Research

AI Infrastructure Attack Surface: Where Can RCE Happen?

In 2026 the model is not the interesting boundary. The inference server, the loader, and the plugin RPC are.

Read the article

Engage

Test your controls before someone else does.

Tell us what needs to be validated. We reply with scoping questions, rules of engagement, and an NDA before any testing.

Control effectiveness / by attack phaseIllustrative sample
PhaseControl exercisedResultMeasured
ATTACKValid-account login from a new ASNEXECUTEDTechnique T1078
PREVENTConditional access policyBLOCKEDChallenge issued
DETECTSIEM correlation ruleDETECTEDAlert after 00:04:12
DETECTDNS beacon to an external hostGAPNo alert raised
RESPONDIncident playbook IR-07ACTEDTriage in 00:11:40
CONTAINEDR host isolationHELDLateral path closed
RECOVERSnapshot restoreRESTOREDHealthy in 00:26:05
FindingCommand-and-control traffic went unseen. The detection rule set has no coverage for DNS beaconing.