Navigating the complexities of AI adoption and application resilience requires more than just tools—it requires clarity. As organizations integrate increasingly autonomous systems into their core operations, new questions regarding safety, compliance, and technical integrity inevitably arise. This FAQ is designed to provide transparent, expert-led insights into how AONIQ Security addresses the modern threat landscape. From the nuances of LLM red teaming to strategic board-level risk management, we’ve compiled the essential information you need to understand our methodology and how we protect your most critical innovations.
It refers to our focus on the unique security challenges posed by AI, Large Language Models (LLMs), and autonomous systems, alongside traditional application security.
We partner with enterprises and high-growth companies that are building or scaling intelligent, cloud-native systems.
We are a specialized advisory and services firm. We provide expert-led testing and strategic consulting rather than selling "black-box" software.
While we excel at traditional AppSec, we have a dedicated research wing for AI-specific threats (like prompt injection and data poisoning) that traditional firms often miss.
It is a specialized security assessment where we attempt to manipulate your AI models to leak data, bypass safety filters, or execute unauthorized commands.
Yes. We assess the integration, the orchestration layer, and the specific configurations that could lead to vulnerabilities like insecure output handling.
Prompt Injection occurs when a user "tricks" an LLM into ignoring its original instructions, potentially leading to data theft or system compromise.
Our primary focus is security and safety (preventing exploitation), though we do assist in aligning AI systems with safety standards and governance.
Yes, we provide specialized workshops to help engineering teams understand the "OWASP Top 10 for LLMs" and secure coding practices for AI.
We perform deep-dive testing on your APIs, web applications, and cloud-native architecture using a manual, threat-led methodology.
While we use automation for efficiency, our core value is manual testing by experts who can find complex logic flaws that scanners overlook.
We focus on broken authorization (BOLA/BFLA), data exposure, and the integrity of the communication between your frontend and backend intelligent systems.
Absolutely. We help teams move "left" by embedding security checkpoints and automated guardrails directly into the DevOps pipeline.
We help leadership teams align their AI strategy with emerging global regulations (like the EU AI Act) and internal safety policies.
Yes, our penetration testing reports are highly defensible and provide the technical evidence required by auditors for major security certifications.
Our Executive Advisory service produces high-level reporting that focuses on business impact, financial risk, and strategic remediation.
Assessments typically range from 2 to 4 weeks depending on the complexity of the system, while advisory partnerships are often ongoing.
You receive a detailed technical breakdown for developers and a strategic executive summary for leadership, both focused on actionable remediation.
The process begins with a scoping call to understand your architecture and security goals. From there, we provide a tailored proposal and execution roadmap.
Yes, every engagement includes a verification phase to ensure that identified gaps have been effectively closed.
Still have questions? While our FAQ covers the fundamentals, we understand that every organization’s security architecture is unique. If you require deeper technical specifics or wish to discuss a custom security roadmap for your enterprise, our advisory team is ready to assist. Reach out to us directly, and let’s ensure your intelligence systems are built on a foundation of trust.
