AI-Powered Threat Detection And Automated Response
Behavioral analytics, automated SOAR, and AI-enhanced SIEM that detect novel threats in minutes, not months. Built by a team with 23+ years of security operations and zero client breaches.
AI Cybersecurity Capabilities
Detection models tuned to your environment and compliance requirements. Deployable on-premises for data sovereignty.
AI-Enhanced SIEM
ML correlates events across endpoints, networks, and cloud services. Reduces false positives by 90-95% compared to rule-based SIEM.
Behavioral Analytics (UEBA)
Dynamic profiles for every user, device, and application. Catches insider threats, compromised credentials, and lateral movement with no signature needed.
Automated Incident Response (SOAR)
AI-driven playbooks isolate endpoints, block C2 communications, preserve evidence, and reset credentials in seconds. Configurable human approval gates.
AI Phishing Detection
NLP analyzes email content, writing style, and sender behavior to catch BEC, spear phishing, and social engineering that bypass gateway filters.
Vulnerability Prioritization
AI combines CVSS scores with your network topology, asset criticality, and exploit availability to calculate actual risk. Focus on the 200 that matter.
Automated Threat Hunting
Continuous search for indicators of compromise without waiting for alerts. Identifies dormant malware, data staging, and credential harvesting proactively.
Traditional Security vs. AI Security
Signature-Based Detection Only
Only catches known attacks. Zero-day exploits and living-off-the-land techniques bypass everything.
Alert Fatigue
Thousands of daily alerts with no prioritization. Analysts drown in false positives.
Hours to Contain
Human response times cannot match attackers who exfiltrate data in under 4 hours.
Behavioral Anomaly Detection
Flags deviations from normal patterns. No signature needed. Catches novel threats by behavior alone.
5-10 Actionable Alerts Per Day
AI correlates and prioritizes. Your team investigates real threats instead of chasing noise.
Seconds to Contain
SOAR executes containment actions instantly. Humans review and direct, not perform triage.
Our AI security solutions are built by a team that has performed incident response and digital forensics across 2,500+ client environments for over two decades.
Craig Petronella founded PTG in 2002 at the intersection of cybersecurity and technology. Our detection models are informed by thousands of real-world security incidents and compliance frameworks we navigate daily.
Frequently Asked Questions
How does AI improve cybersecurity over traditional tools?
AI adds behavioral analysis for zero-day detection, cross-environment event correlation that reduces false positives by 90-95%, and automated response that executes containment in seconds.
Can AI cybersecurity replace our security team?
No. AI amplifies your team by handling alert triage, event correlation, and routine containment. Your team focuses on strategic work: threat intelligence, architecture decisions, and compliance strategy. Teams become 5-10x more effective.
How is PTG different from CrowdStrike or SentinelOne?
Vendor platforms provide standardized models. PTG builds AI tuned to your specific environment and compliance requirements. We integrate across your full stack and deploy on-premises for data sovereignty. We also work alongside these tools when they are already deployed.
What compliance frameworks does it support?
CMMC 2.0, HIPAA Security Rule, SOC 2 Type II, PCI DSS 4.0, NIST 800-171, NIST CSF 2.0, and FedRAMP. Every detection and response action is tagged with relevant compliance controls.
How much does AI-powered cybersecurity cost?
A mid-size organization (100-500 endpoints) typically invests $3,000-$15,000/month. Compare to two additional SOC analysts at $85,000-$110,000 each/year, or the average ransomware recovery cost of $1.85 million.
Related Services
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