Stop Writing Queries. Start Asking Questions: Introducing LogZilla AI Copilot

Security and operations teams spend more time writing queries than solving problems. SPL, KQL, Lucene, AQL. Each platform demands its own syntax, its own expertise, its own learning curve. Meanwhile, incidents pile up and analysts burn out.

LogZilla AI Copilot changes this equation. Ask a question in plain English. Get answers in seconds.

The Query Language Problem

Every major log management platform requires specialized query syntax:

Organizations invest significant time training analysts on these languages. When staff turnover occurs, that investment walks out the door. New hires face weeks of ramp-up before becoming productive.

According to industry research, 28% of CISOs are likely to leave their jobs due to high rates of burnout. Adding query language complexity to the workload accelerates the problem.

Natural Language Changes Everything

LogZilla AI Copilot accepts queries like:

"Analyze all security events from the last 2 hours compared to yesterday. Correlate authentication failures, attack patterns, and malware detections. Include priority matrix and remediation commands."

Within seconds, the AI returns a structured report containing:

• Priority matrix ranking issues by severity and business impact
• Root cause analysis with confidence scores
• Threat intelligence including IP reputation and geolocation
• MITRE ATT&CK mapping for detected techniques
• Vendor-specific CLI commands for remediation

No SPL. No KQL. No syntax errors. Just answers.

What Makes LogZilla AI Different

Actionable Output, Not Search Results

Traditional log queries return rows of data. Analysts must then interpret, correlate, and decide on next steps. LogZilla AI Copilot returns analysis with specific recommendations.

A security query does not return a list of failed logins. It returns:

• Which accounts are under attack
• The source IPs and their reputation
• The attack pattern (brute force, credential stuffing, password spray)
• The exact commands to block the attackers on the specific firewall vendor

Vendor-Specific Remediation

LogZilla AI generates copy-paste commands for the actual devices in the environment. Cisco IOS, Palo Alto, Fortinet, Juniper, Check Point. The AI knows the syntax for each vendor and provides commands ready for execution.

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Wrap: OnCopyFullscreen
REMEDIATION (Palo Alto):
  # Block attacking IPs
  set address attacker-1 ip-netmask 203.0.113.45/32
  set security-policy block-attackers from untrust to trust source attacker-1 action deny

  # Enable threat logging
  set log-settings threat send-to-panorama yes

Compliance Mapping Built In

Every analysis automatically maps findings to relevant compliance frameworks:

• PCI DSS for payment card environments
• HIPAA for healthcare
• NIST 800-53 for federal systems
• SOC 2 for service organizations
• GDPR for privacy requirements

Auditors receive evidence. Security teams receive context. Compliance officers receive reports.

Air-Gapped Capability

Many organizations cannot send log data to cloud AI services. Classified networks, healthcare systems, financial institutions, and critical infrastructure often require complete isolation.

LogZilla AI Copilot works entirely on-premises using Ollama with open models like Llama, Mistral, and Mixtral. No data leaves the network. No cloud API calls. Full AI capability in air-gapped environments.

Real-World Performance

LogZilla processes approximately 10 TB per day on a single server, or approximately 230 TB per day on Kubernetes clusters. Individual queries against this data volume return in sub-second time. AI analysis reports involve multiple query and analysis cycles to build detailed findings.

A security operations report can analyze hundreds of thousands of events. A network operations analysis can cover millions of events. These are not sampled results. The AI analyzes every event.

Example: Security Incident Analysis

Prompt: "Generate a security incident report for the last hour. Include threat detection, attack correlation, framework mapping, and remediation priorities."

Result (448,698 events analyzed):

• 23 critical findings requiring immediate action
• DNS amplification attack detected from 3 source IPs
• MITRE ATT&CK techniques T1071.004 and T1498.002 identified
• PCI DSS requirements 10.6.1 and 11.4 impacted
• Cisco and Palo Alto CLI commands for immediate remediation

Download sample output (PDF)

Example: Network Operations Analysis

Prompt: "Analyze network events from the last 2 hours compared to baseline. Identify anomalies, root causes, and remediation steps."

Result (5.06 million events analyzed):

• PKI certificate failures causing authentication cascade
• 847 devices affected across 3 sites
• Root cause: expired intermediate CA certificate
• Step-by-step remediation with Cisco IOS commands
• Estimated resolution time: 15 minutes

Download sample output (PDF)

Deployment Options

LogZilla AI Copilot supports multiple AI backends:

Configuration requires only an API key for cloud providers or a local Ollama URL for on-premises deployment. No complex ML pipeline setup. No model training. No data science team required.

Seven AI Domains

LogZilla AI Copilot provides specialized analysis across operational domains:

• AI SecOps: Threat detection, IOC extraction, MITRE mapping
• AI NetOps: Root cause analysis, topology impact, vendor CLI
• AI InfraOps: Health monitoring, capacity planning, risk assessment
• AI AppOps: Error analysis, dependency mapping, performance insights
• AI CloudOps: Multi-cloud correlation, Kubernetes visibility, cost analysis
• AI DevOps: Pipeline analysis, deployment tracking, debug acceleration
• AI Compliance: Framework mapping, evidence collection, audit reports

Each domain understands the specific terminology, patterns, and remediation approaches relevant to that operational area. Watch video demos for all domains.

Comparison: Traditional SIEM vs. LogZilla AI

Time to Value Comparison

ROI Metrics

Organizations deploying LogZilla AI Copilot report measurable improvements:

Security Operations

Network Operations

Compliance

Getting Started

LogZilla AI Copilot deployment requires minimal configuration:

Cloud AI (Anthropic/OpenAI)

1. Enter API key in LogZilla settings
2. Select preferred model
3. Start asking questions

On-Premises AI (Ollama)

1. Deploy Ollama server
2. Download preferred model (Llama, Mistral, Mixtral)
3. Configure LogZilla to use Ollama endpoint
4. Start asking questions

No ML pipeline. No model training. No data science team. Full AI capability in minutes.

Micro-FAQ

What is LogZilla AI Copilot?

LogZilla AI Copilot is an AI-powered log analysis feature that accepts natural language queries and returns actionable intelligence including root cause analysis, remediation commands, and compliance mapping.

Does LogZilla AI require cloud connectivity?

No. LogZilla supports on-premises AI using Ollama with models like Llama, Mistral, and Mixtral. Full AI capability works in air-gapped environments.

How fast can LogZilla AI analyze log data?

LogZilla queries billions of events in sub-second time. AI analysis reports involve multiple query cycles and typically complete in one to two minutes depending on complexity.

What query languages does LogZilla AI replace?

LogZilla AI Copilot eliminates the need to learn SPL (Splunk), KQL (Microsoft), Lucene (Elastic), or other proprietary query languages. Users ask questions in plain English.

Next Steps

LogZilla AI Copilot eliminates the query language barrier between analysts and answers. Organizations can deploy AI-powered log analysis in minutes, whether connected to cloud AI services or running entirely on-premises. The result is faster incident response, reduced analyst burnout, and actionable intelligence from every log event collected.