Advanced Cybersecurity Detection Solutions

Harnessing AI to enhance threat detection and response capabilities in cybersecurity.

Innovative Cybersecurity Research and Solutions

At adqe, we specialize in advanced cybersecurity research, utilizing hybrid datasets and cutting-edge AI models to enhance threat detection and response capabilities in the ever-evolving digital landscape.

A hand holding a thermal scanner is pointed towards a rack of computer servers. The servers are illuminated with blue LED lights, giving a technological and futuristic feel.
A hand holding a thermal scanner is pointed towards a rack of computer servers. The servers are illuminated with blue LED lights, giving a technological and futuristic feel.
Our Research Methodology
Data-Driven Cyber Defense

Our approach includes data preparation, model fine-tuning with GPT-4, and rigorous evaluation against leading tools, ensuring robust protection against cyber threats through innovative techniques and adversarial training.

Cybersecurity Solutions

We provide advanced detection models for cybersecurity using hybrid datasets and fine-tuning techniques.

Signage on a wall reads 'Cybercrime Analysis & Research Alliance @ NTU (CARA)' in bold, white letters against a dark, textured surface. A corridor with partial ceiling panels is visible, and there's some greenery in the background.
Signage on a wall reads 'Cybercrime Analysis & Research Alliance @ NTU (CARA)' in bold, white letters against a dark, textured surface. A corridor with partial ceiling panels is visible, and there's some greenery in the background.
A padlock sits on a laptop keyboard with glowing red, green, and blue light trails swirling around, creating a sense of security and cyber awareness.
A padlock sits on a laptop keyboard with glowing red, green, and blue light trails swirling around, creating a sense of security and cyber awareness.
Data Preparation

Collect and anonymize hybrid datasets to enhance cybersecurity threat detection and analysis capabilities.

Model Fine-Tuning

Utilize GPT-4 API for hierarchical fine-tuning to optimize cybersecurity detection and response strategies.

Cybersecurity Detection

Innovative model fine-tuning for advanced threat detection capabilities.

A dimly lit desk setup featuring a computer monitor displaying a document titled 'General Hardening Guideline'. The desk has a mechanical keyboard with blue and red keys, a lamp providing light on the right side, and various small items including notes pinned to the wall, a notebook, and a cup. There is a mesh office chair in front of the desk.
A dimly lit desk setup featuring a computer monitor displaying a document titled 'General Hardening Guideline'. The desk has a mechanical keyboard with blue and red keys, a lamp providing light on the right side, and various small items including notes pinned to the wall, a notebook, and a cup. There is a mesh office chair in front of the desk.
Data Preparation

Collecting and anonymizing hybrid datasets for analysis.

A trio of modern security cameras attached to a vertical metal pole, set against a backdrop of gray vertical lines, evoking an industrial and surveillance-themed setting.
A trio of modern security cameras attached to a vertical metal pole, set against a backdrop of gray vertical lines, evoking an industrial and surveillance-themed setting.
Model Fine-Tuning

Enhancing detection models using GPT-4 API techniques.

A black device with the brand name 'Cypherock' lies on top of a set of smart cards labeled with numbers 1 to 4. Each card features a chip and wireless symbol, suggesting it is a high-tech, possibly security-related gadget.
A black device with the brand name 'Cypherock' lies on top of a set of smart cards labeled with numbers 1 to 4. Each card features a chip and wireless symbol, suggesting it is a high-tech, possibly security-related gadget.
A white mask with distinct black features is placed on an open server tray in a data center or server room. The server is equipped with various LED indicators and network ports, suggesting an active setup.
A white mask with distinct black features is placed on an open server tray in a data center or server room. The server is equipped with various LED indicators and network ports, suggesting an active setup.
Evaluation Phase

Comparing performance against GPT-3.5 and commercial tools.

Adversarial Training

Improving anti-deception capabilities through innovative techniques.

Detection

Advanced models for cybersecurity threat detection.

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