Detect Threats at Quantum Speed
While traditional SIEM takes hours to correlate attacks, QADIS detects intrusions in 23 milliseconds using 4-way quantum entanglement of network features.
23ms
Detection Latency
96.2%
Accuracy Rate
3 hrs
Earlier Detection
89%
Fewer False Positives
Anatomy of a Breach: Traditional vs Quantum
See how QADIS detected and blocked a sophisticated APT attack 3 hours before traditional SIEM systems even raised an alert.
Traditional SIEM
Rule-based detection
Initial Reconnaissance
Attacker begins port scanning from compromised IP
Logs recorded, no alert
QADIS Quantum
4-way entangled detection
Initial Reconnaissance
Attacker begins port scanning from compromised IP
Anomalous scan pattern detected
Detection Speed
15 min
vs 3+ hours
Data Protected
2.3 GB
vs 0 GB
Damage Prevented
$4.2M
vs $0
Attack Phases Blocked
4/5
vs 1/5
The Scale of the Problem
Cyber threats are evolving faster than traditional defenses can adapt. Organizations need quantum-level detection to stay ahead.
$10.5T
Projected cybercrime cost by 2025
Cybersecurity Ventures
2,200+
Cyberattacks per day
University of Maryland
287
Days average breach detection
IBM Security Report
$4.45M
Average cost per data breach
Ponemon Institute 2023
Attack Type Distribution (2024)
Why Traditional Security Fails
Signature-based detection
Can't detect zero-day attacks
Rule threshold limits
Attackers stay just under detection
Siloed log analysis
Misses cross-system attack patterns
Alert fatigue
10,000+ daily alerts, 52% ignored
How Quantum Catches What Others Miss
Four entangled qubits capture network behavior in a 16-dimensional Hilbert space, detecting attack patterns invisible to classical ML.
QADIS creates quantum entanglement between four key network features, detecting correlations invisible to classical systems.
Entanglement Advantage
Classical systems analyze each feature independently. Our 4-qubit entanglement creates 2^4 = 16 basis states, capturing all possible feature correlations simultaneously.
// Quantum state encoding
|ψ⟩ = α|0000⟩ + β|0001⟩ + ... + ω|1111⟩
// 16 correlation patterns in superposition
Network Traffic as Quantum States
Normal traffic follows a predictable orbit on the Bloch sphere. Attacks create distinctive spikes and anomalous trajectories that our quantum system detects instantly.
Network Traffic Pattern Space
Normal traffic follows predictable orbital patterns. Attacks spike outward as anomalies detected by 4-way entanglement.
Performance Metrics
Validated on CICIDS2017 and real enterprise network data
96.2%
Detection Accuracy
+12.5% vs ML
1.8%
False Positive Rate
-89% vs rules
23ms
Mean Time to Detect
12,000x faster
1.2M pps
Throughput
Enterprise scale