LLM Jailbreaking | Cycommsec

Confidence in AI is not the same as its Real Security

46%

Data breaches involve customers personal data

$10B

Global Financial
Losses In 2025

277

days - Time to detect
an attack in days

554%

Increase in DDoS Attacks
Q1 2022/2021

$5M

Average cost of a breach

500k

new malware samples every day

60%

Closes their Business

time to stop an attack in days

One uncontrolled, toxic or untrue message generated by your AI can go viral and cause an immediate image crisis, destroying trust in your brand and product.
‍
Our tests show how prompt injection attacks you can force the model to reveal fragments of confidential training data, sensitive information about the architecture of the system, and even the source code of your application.
‍
We verify whether your model can be manipulated and become a tool in the hands of attackers, used to generate highly persuasive phishing messages, malware or disinformation on a massive scale.
‍
We provide evidence that your model has undergone rigorous safety testing. It is the foundation of building user trust and a key element of compliance with upcoming regulations, such as the AI Act.

Innovation is more than technology

The graph shows exponential increase in the complexity of attacks. Your company deploys AI to gain an edge, but its effectiveness and security remain untested in the face of a new class of threats. The real the risk is not that the model will make a mistake, but that you do not know if someone will not force him to act to your detriment.

from 1k to

37k

To genuinely verify the security of your AI, our LLM Jailbreaking process must include:

Linguistic Attacks (Prompt Injection): Precise creation and injection of prompts that manipulate the logic of the model to force it to break its own rules and generate harmful or confidential content.
System Vulnerability Testing: Verification not only of the model itself, but of the entire infrastructure around it — APIs, filtering mechanisms and protection against unauthorized access or misuse of resources.
Training Data Analysis: Study of potential attack vectors resulting from the data on which the model was trained, including the risk of “data poisoning” and the reproduction of confidential information.
Contextual Report and Reinforcement Plan: Providing a clear list of successful “jailbreaks” along with accurate prompts and conducting workshops that will allow your team to strengthen the “constitution” of the model and its defenses.

Your development team can be a master at building and training models, while having no experience in the psychology and linguistics of AI manipulation. This happens when there is a lack of someone who can think like an adversary in a linguistic context. Our team provides this missing perspective, showing how a seemingly safe model can be manipulated by a creative, human adversary.

Statistics from

https://nvd.nist.gov/vuln/search/statistics?form_type=Basic&&...

Does your company know what its AI model looks like from an attacker's perspective, or does it base its knowledge solely on its performance metrics?

Statistics from

https://nvd.nist.gov/vuln/search/statistics?form_type=Basic&&...

How Do We Turn AI Potential into a Secure Advantage?

Our process is not just asking simple questions, but a methodical, multi-stage campaign that tests the logic, safeguards, and resilience of your model. In 7 steps, we deliver invaluable insights into its real weaknesses and the ways to neutralize them.

Ai Security Audit Process

Defining Risk Scenarios

We start by understanding the business context of your AI. Is the goal to protect data, prevent the generation of toxic content, or protect intellectual property? We define the worst-case scenarios that we will try to implement.

Prompt Injection and Context Manipulation Attacks

This is the heart of the operation. We use hundreds of advanced linguistic techniques, such as “DAN” (Do Anything Now), impersonating characters or injecting hidden commands to force the model to ignore its security directives.

Analysis of Systemic Vulnerabilities (API & Backend)

We check not only the model itself, but also the entire infrastructure around it. We test APIs for unauthorized access, resource abuse, and other attack vectors that may affect AI performance or security.

Analysis of Model Architecture and Safeguards

We analyze the architecture of your model, its “System Prompt” (constitution), filtering mechanisms and the data on which it was trained. This allows us to identify potential, innate weaknesses and areas for testing.

Testing Logic and Resistance to Obfuscation

We go beyond simple commands. We test the model's resistance to complex multi-step tasks, logical paradoxes, and obfuscation queries (e.g. Base64 encoding, ASCII art) to see if filtering mechanisms can interpret them.

Detailed Reporting of "Jailbreaks"

Every successful attack is precisely documented. You receive a report with detailed prompts that led to the breach, an analysis of the cause, and an assessment of the business risk associated with the vulnerability.

Joint Workshops and Model Strengthening Plan

The operation ends with a workshop where we analyze vulnerabilities together with your AI/ML team. We develop effective remedies, such as strengthening the “System Prompt”, implementing additional filtering layers or fine-tuning the model.

Benefits and the AI Security Cooperation Model

The success of an AI security program depends on a unique combination of security expertise and knowledge of how language models work. We provide this specialized expertise. Your team contributes crucial product knowledge and an understanding of its goals. Together, we build an AI that is genuinely secure and trustworthy.

Protection Against Reputational Risk and Abuse

You gain confidence that your AI model will not become a source of image crisis or a tool to generate harmful content, protecting your brand and customer trust.

Protecting Data and Intellectual Property

You verify that through prompt injection attacks it is not possible to extract confidential training data, source code or trade secrets from the model.

Strengthening Model Resilience (Hardening)

We uncover gaps in the logic and “constitution” of your AI, providing concrete recommendations on how to address them to make the model more resilient to future, unknown attack techniques.

Building Responsible and Trustworthy AI

You provide evidence that your solution has undergone rigorous security testing. This is the foundation for building user trust and a key element of compliance with upcoming regulations such as the AI Act.

Schedule an AI Security Audit

Let's talk about the business objectives of your model and see live what kind of vulnerabilities we can discover for your organization.

Partnership in Securing Innovation

We are not just a service provider. We become your external AI security team to help you understand and neutralize a new class of risks. Success depends on a close exchange of knowledge and a common goal.