DETECT THREATS THAT RULES MISS
Petronella deploys AI threat detection catching zero-days, insider threats, and APTs. Behavioral analysis reducing detection from months to minutes.
Our Capabilities
Detection
- Behavioral baselines flagging anomalies
- Network traffic analysis for C2 and exfiltration
- UEBA for insider threats
- Zero-day behavioral detection
Response
- Cross-platform EDR, SIEM, cloud correlation
- Automated containment actions
- 40+ threat intelligence feeds
- Private deployment for compliance
Key Services
Behavioral Analytics
ML baselines normal, flags deviations in real time.
Network Analysis
Detects C2, exfiltration, lateral movement.
UEBA
User behavior models for compromised credentials.
Automated Correlation
Connect events across sources for attack chains.
What Changes
197-Day Detection
Months for breach detection without AI.
85% Noise
Thousands of false positives burying real threats.
Blind to Novel Threats
Signatures miss zero-days and LOTL attacks.
Minutes to Detect
Behavioral analysis catches anomalies in minutes.
85% Less Noise
ML triage surfaces confirmed threats.
Novel Detection
Behavioral AI catches what rules miss.
How It Works
Assess: Evaluate detection gaps
Deploy: Implement sensors across environment
Baseline: Learn normal behavior patterns
Detect: Real-time anomaly detection
Respond: Automated containment with investigation
Evolve: Continuous model improvement
Industries We Serve
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Frequently Asked Questions
AI vs SIEM rules?
Rules catch known patterns. AI learns behavior and catches novel attacks.
False positive rate?
85% reduction compared to rule-based detection.
On our infrastructure?
Yes. Private deployment for CMMC, HIPAA environments.
Baseline learning time?
2-4 weeks initial. Continuous improvement ongoing.
Data sources?
EDR, SIEM, network, cloud, email, DNS, identity, and custom apps.
Detect Threats Faster
Schedule a free assessment showing how AI reduces detection time.