Encrypted by default
Most enterprise traffic is HTTPS. Payloads are opaque at scale, and decryption is often off the table for privacy and compliance.
Detect Threat Signals
within Encrypted Traffic
No decryption · Earlier signals · Better visibility
The Problem
Malware hides in TLS
Adversaries increasingly deliver malware over HTTPS/TLS to bypass legacy inspection.
Many modern attacks now operate over encrypted channels.
Slow detection hurts
On average, breaches still take months to uncover and contain, driving higher cost and impact.
≈87%
of threats delivered over encrypted channels
≈241
days to identify + contain a breach
Sources: Zscaler ThreatLabz Encrypted Attacks (2024); IBM Security — Cost of a Data Breach (2025).
Our Approach
Generative AI, not signatures
GAN-based models learn patterns from encrypted flow behaviour, generalise from limited malware samples, and support expanded family coverage as datasets grow.
Earlier signal, faster containment
Behavioural scoring surfaces suspicious encrypted sessions earlier, helping analysts accelerate investigation and containment across captured and monitored traffic.
Metadata, not payloads
We analyse SSL/TLS handshakes, ciphers, timing and flows without decrypting payloads, keeping content out of scope while preserving security signal.
How It Works
Network Capture Input
PCAP Upload
Tap Stream
Feature Extraction
Metadata
SSL/TLS signals
BlackCrypt AI Engine
Multi-model AI engine
Results & Enrichment
Findings, intelligence & reports
Network Capture Input
PCAP Upload • Tap Stream
Feature Extraction
Metadata • SSL/TLS signals
BlackCrypt AI Engine
Multi-model AI engine for encrypted traffic
Results & Enrichment
Findings, intelligence & reports
Privacy by Design
• Metadata-focused analysis
• Payloads stay out of scope
• PCAPs removed after analysis
• Clear retention windows
TLS-Native Analysis
• Handshake patterns
• Version & cipher negotiation
• Flow dynamics
• Fingerprints & cert hints
Generative AI Intelligence
• Behaviour-based detection
• Generalises across evolving malware behaviour
• Hybrid decision flow
• Multi-model system
Use Cases
Where BlackCrypt fits into incident response, threat hunting, lab evaluation and encrypted network visibility.
Incident response & triage
Suspicious traffic: Get a fast AI-driven triage signal on encrypted sessions so you can decide how to respond.
Retrospective analysis
Retrospective hunts: Review past captures to surface encrypted threat patterns your existing stack may have missed.
Lab & Evaluation
Lab testing: Evaluate encrypted-traffic detection on realistic traffic captures before you commit to a rollout.
Perimeter capture review
Internet-edge captures: Review north–south traffic captures for suspicious encrypted patterns at your perimeter.
Critical segments & remote access
High-value segments: Review VPN, DMZ and critical application traffic captures where payload inspection has limited TLS visibility.
Technology
BlackCrypt AI Engine
GAN-based generative AI for encrypted-traffic signal detection.
GAN-based models
TLS metadata
Multi-model classification
Binary Model
Benign vs Malicious
Malware Family Classifier
22 families supported
View supported families
ARTEMIS
ASYNCRAT
BAZALOADER
BUMBLEBEE
COBALTSTRIKE
DRIDEX
EMOTET
GOOGLERAT
HTBOT
ICEDID
MANSABO
MERLINC2
NERIS
OCTOPUS
Other
PIKABOT
POSHC2
QAKBOT
SPECULA
TRICKBOT
URSNIF
WANACRYPT0R
“Other” aggregates rare/novel samples; split as data grows.
Threat Category Classifier
10 categories supported
View threat categories
BACKDOOR
BANKINGTROJAN
C2
DDOSBOTNET
INFOSTEALER
LOADER
Other
POST-EXPLOITATION
RANSOMWARE
RAT
Roadmap
What is available today, what is coming next, and where BlackCrypt research is heading.
Available now
Threat Analysis Platform
- Upload network captures for encrypted-traffic analysis
- Behavioural AI scoring for encrypted-session triage
- Advanced enrichment with malware classification, threat intelligence, and PDF reporting
Coming next
Encrypted-Traffic IDS
- Continuous threat monitoring
- AI detection and threat-intelligence enrichment beyond upload workflows
- SIEM/export integrations for operational handoff
Expansion
Research Lab
- Expand proprietary encrypted-traffic datasets and validation coverage
- Advance GAN-based modelling, calibration, and evaluation workflows
- Broaden malware coverage and improve classification precision
Available now
Threat Analysis Platform
- Upload network captures for encrypted-traffic analysis
- Behavioural AI scoring for encrypted-session triage
- Advanced enrichment with malware classification, threat intelligence, and PDF reporting
Coming next
Encrypted-Traffic IDS
- Continuous threat monitoring
- AI detection and threat-intelligence enrichment beyond upload workflows
- SIEM/export integrations for operational handoff
Expansion
Research Lab
- Expand proprietary encrypted-traffic datasets and validation coverage
- Advance GAN-based modelling, calibration, and evaluation workflows
- Broaden malware coverage and improve classification precision
Contact
For product evaluations, pilots, customer inquiries, and research partnerships, contact: contact@blackcrypt.ai
Customer support is handled directly from within the BlackCrypt portal.