Security is not a static destination; it is a continuous process of discovery and refinement. At AONIQ, our methodology moves beyond the “point-in-time” assessment. We employ a threat-led, manual approach that mirrors the persistence of a real-world adversary. By combining deep architectural analysis with creative adversarial testing, we provide a holistic view of your security posture that automated tools simply cannot achieve.
We follow a rigorous four-phase framework designed to identify, analyze, and neutralize risks
while empowering your team with the knowledge to stay secure.
Phase 1: Contextual Discovery & Scoping
Every engagement begins with understanding the “why” behind your technology. We don’t use generic templates; we map out your unique business logic, data flows, and AI integrations.
Goal: Identify high-value assets and define the rules of engagement.
Key Output: A tailored testing roadmap focused on your most critical risks.
Phase 2: Adversarial Stress Testing
This is where our human expertise shines. Our engineers perform deep-tier manual testing, attempting to bypass controls, subvert AI logic, and pivot through infrastructure.
LLM Red Teaming: Stress-testing models for prompt injection and data leakage.
AppSec & API Probing: Exploiting broken authorization and business logic flaws.
Cloud-Native Auditing: Testing for lateral movement and container escapes.
Phase 3: Strategic Risk Translation
We translate technical vulnerabilities into actionable business intelligence. Our reports prioritize findings based on “Exploitability” and “Business Impact,” ensuring your team knows exactly where to focus first.
Executive Summary: A high-level overview of risk for leadership.
Technical Deep-Dive: Code-level reproduction steps for engineering teams.
Phase 4: Remediation & Verified Hardening
A vulnerability is only truly closed once the fix has been verified. We provide direct guidance to your developers and perform rigorous re-testing to ensure your defenses are watertight.
Goal: Eliminate the vulnerability and prevent its recurrence in future builds.
We believe the most cost-effective security is built-in, not bolted-on. Our methodology emphasizes Security-as-Code, helping you integrate automated guardrails and threat modeling directly into your CI/CD pipelines.
Human-Led, Not Script-Driven: We find the 20% of critical flaws that cause 80% of the damage—flaws that automated scanners consistently miss.
AI-Native Expertise: Our process is specifically adapted for the non-deterministic nature of modern AI systems.
Transparency First: You have direct access to our lead advisors throughout the engagement. No black boxes, just clear communication.
