Dark Quarks software utilises quantum transformers using continuous variable (CV) models to offer transformative potential in cybersecurity due to their ability to process vast and complex datasets efficiently and leverage quantum properties for advanced security measures. Specific application of this technology is in real-time anomaly detection and threat prediction and offensive Red Team Penetration testing.

Real-Time Threat Detection and Response

Cyber systems face increasingly sophisticated attacks, including zero-day exploits and advanced persistent threats (APTs), which are difficult to detect using conventional methods, current systems often struggle to process large-scale network data in real-time, leading to delayed responses in the case of live attacks on military, defence and industry networks.

Quantum CV Transformers are able to deliver enhanced pattern recognition in Big Data

Quantum transformers can process high-dimensional data (e.g., network logs, user behaviour's) faster and more effectively, identifying patterns that signal malicious activity.

CV models excel in analysing continuous streams of data, such as network traffic or login attempts, to identify subtle deviations indicative of threats. By analysing multiple threat scenarios simultaneously (thanks to quantum superposition), the system can quickly classify and respond to potential attacks.

• The quantum model ingests and analyses streams of network data in real-time.

• It compares ongoing activities against a database of known threat behaviours and identifies patterns or anomalies (e.g., unusual data flows, access attempts).

• Once an anomaly is detected, the system predicts whether it’s malicious and triggers immediate defensive actions, such as isolating the affected system or alerting administrators.

Example

A large enterprise uses a quantum CV transformer-based cybersecurity system to monitor its global network. The system identifies an unusual spike in outbound data from a specific server at an odd hour. Upon analysis, it determines that this matches a known pattern of data exfiltration by ransomware. The quantum system predicts the next steps of the attack, isolates the server from the network, and prevents further damage within milliseconds.

Mandate

Fund and build the company, recruit the expert team and prove the model prior to technology commercialisation based on real user data.