k7-total-security-deployment
Deploy and configure K7 Total Security 16.0.1195 unified defense framework with AI-powered threat detection
How do I install this agent skill?
npx skills add https://github.com/reason-machines/security-skills --skill k7-total-security-deploymentIs this agent skill safe to install?
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This skill provides documentation and command examples for deploying and configuring K7 Total Security. It includes standard installation steps, configuration templates, and AI integration examples using common security practices like environment variables for secrets.
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Risk: MEDIUM · 1 issue
What does this agent skill do?
K7 Total Security Deployment
Skill by ara.so — Security Skills collection.
Overview
K7 Total Security 16.0.1195 is a unified defense framework providing signatureless AI detection, multi-platform synchronization, and modular protection layers across Windows, macOS, and Linux endpoints. This skill covers deployment, configuration, API integration, and operational management.
Installation
Windows Deployment
# Download and install agent
Invoke-WebRequest -Uri "https://example.com/k7-agent-16.0.1195-win-x64.msi" -OutFile "k7-agent.msi"
msiexec /i k7-agent.msi /qn /l*v install.log
# Verify installation
k7-console --version
macOS Deployment
# Install via package manager
curl -O https://example.com/k7-agent-16.0.1195-macos.pkg
sudo installer -pkg k7-agent-16.0.1195-macos.pkg -target /
# Verify installation
k7-console --version
Linux Deployment
# Debian/Ubuntu
wget https://example.com/k7-agent-16.0.1195-amd64.deb
sudo dpkg -i k7-agent-16.0.1195-amd64.deb
# RHEL/CentOS
wget https://example.com/k7-agent-16.0.1195-x86_64.rpm
sudo rpm -ivh k7-agent-16.0.1195-x86_64.rpm
# Verify installation
k7-console --version
Core Configuration
Basic Profile Structure
Create a YAML profile defining protection layers:
profile_name: "production_standard"
version: "16.0.1195"
enforcement_level: "adaptive"
protection_layers:
executable_guard:
state: enabled
action_on_threat: "quarantine"
exceptions:
- path: "/opt/approved_software/*"
- path: "C:\\Program Files\\TrustedApp\\*"
memory_scanner:
state: enabled
sensitivity: "high"
scan_interval_seconds: 300
usb_filter:
state: enabled
policy: "block_unknown"
allow_list:
- vendor_id: "0x0781"
- vendor_id: "0x13FE"
web_filter:
state: enabled
categories_blocked:
- "malware_distribution"
- "phishing"
- "cryptomining_scripts"
logging:
verbose: true
retention_days: 90
forward_to:
- syslog_server: "${SYSLOG_SERVER}:514"
Applying Profiles
# Apply profile to local endpoint
k7-console --apply-profile production_standard.yaml --local
# Apply to remote endpoint
k7-console --apply-profile production_standard.yaml \
--target 192.168.1.100 \
--auth-file "${K7_ADMIN_CERT}" \
--log-level verbose \
--timeout 120
# Batch deployment to multiple endpoints
k7-console --apply-profile production_standard.yaml \
--target-file endpoints.txt \
--parallel 10 \
--auth-file "${K7_ADMIN_CERT}"
AI Integration
OpenAI Configuration
ai_integration:
incident_analysis:
provider: "openai"
model: "gpt-4-turbo"
api_key: "${OPENAI_API_KEY}"
max_tokens: 2000
temperature: 0.3
endpoint: "https://api.openai.com/v1/chat/completions"
automated_response:
enabled: true
confidence_threshold: 0.85
Claude Configuration
ai_integration:
incident_analysis:
provider: "claude"
model: "claude-3-opus-20240229"
api_key: "${ANTHROPIC_API_KEY}"
max_tokens: 1500
endpoint: "https://api.anthropic.com/v1/messages"
automated_response:
enabled: true
webhook_retries: 3
Testing AI Integration
# Test OpenAI connection
k7-console --test-ai-integration \
--provider openai \
--api-key "${OPENAI_API_KEY}" \
--model gpt-4-turbo
# Test Claude connection
k7-console --test-ai-integration \
--provider claude \
--api-key "${ANTHROPIC_API_KEY}" \
--model claude-3-opus-20240229
Key Commands
Status and Monitoring
# Check protection status
k7-console --status
# View active threats
k7-console --list-threats --last 24h
# Export security logs
k7-console --export-logs \
--start-date "2026-03-01" \
--end-date "2026-03-31" \
--format json \
--output security_logs.json
# Real-time monitoring
k7-console --monitor --refresh 5
Policy Management
# List all profiles
k7-console --list-profiles
# Validate profile syntax
k7-console --validate-profile production_standard.yaml
# Show current applied profile
k7-console --show-active-profile
# Rollback to previous profile
k7-console --rollback-profile --version previous
Threat Response
# Quarantine specific file
k7-console --quarantine /path/to/suspicious/file.exe
# Release quarantined item
k7-console --release-quarantine --id QID-20260312-001
# Force full system scan
k7-console --scan-now --type full --priority high
# Update threat intelligence
k7-console --update-threat-intel --force
Common Patterns
Multi-Environment Deployment
# dev_profile.yaml
profile_name: "development"
enforcement_level: "permissive"
protection_layers:
executable_guard:
state: enabled
action_on_threat: "alert_only"
memory_scanner:
state: enabled
sensitivity: "low"
usb_filter:
state: disabled
# prod_profile.yaml
profile_name: "production"
enforcement_level: "strict"
protection_layers:
executable_guard:
state: enabled
action_on_threat: "quarantine"
memory_scanner:
state: enabled
sensitivity: "high"
usb_filter:
state: enabled
policy: "block_all"
# Deploy based on environment
if [ "$ENVIRONMENT" = "production" ]; then
k7-console --apply-profile prod_profile.yaml --target-file prod_endpoints.txt
else
k7-console --apply-profile dev_profile.yaml --target-file dev_endpoints.txt
fi
Webhook Notifications
notifications:
webhook:
enabled: true
url: "${SLACK_WEBHOOK_URL}"
events:
- "threat_detected"
- "quarantine_action"
- "policy_violation"
payload_template: |
{
"text": "K7 Security Alert: {{event_type}}",
"blocks": [
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": "*Endpoint:* {{endpoint_id}}\n*Threat:* {{threat_name}}\n*Action:* {{action_taken}}"
}
}
]
}
Centralized Logging
logging:
verbose: true
retention_days: 365
forward_to:
- syslog_server: "${SYSLOG_SERVER}:514"
- elasticsearch:
endpoint: "${ELASTICSEARCH_URL}"
index_prefix: "k7-security"
auth:
username: "${ES_USERNAME}"
password: "${ES_PASSWORD}"
- splunk:
hec_endpoint: "${SPLUNK_HEC_URL}"
token: "${SPLUNK_HEC_TOKEN}"
Advanced Configuration
Custom Exception Rules
protection_layers:
executable_guard:
state: enabled
exceptions:
- path: "C:\\DevTools\\*"
reason: "Development environment"
expires: "2026-12-31"
- hash: "sha256:a1b2c3d4e5f6..."
reason: "Approved internal tool"
- signature: "CN=MyCompany,O=MyOrg"
reason: "Code-signed by internal CA"
Network Segmentation
web_filter:
state: enabled
network_zones:
- name: "corporate"
networks:
- "10.0.0.0/8"
- "172.16.0.0/12"
policy: "allow_all"
- name: "guest"
networks:
- "192.168.100.0/24"
policy: "restricted"
categories_blocked:
- "social_media"
- "streaming"
Scheduled Scanning
scheduled_tasks:
- name: "weekly_full_scan"
type: "full_scan"
schedule: "0 2 * * 0" # Sunday 2 AM
priority: "low"
- name: "daily_quick_scan"
type: "quick_scan"
schedule: "0 12 * * *" # Daily noon
priority: "normal"
Troubleshooting
Agent Not Responding
# Check agent service status
k7-console --service-status
# Restart agent service (Windows)
net stop K7Agent
net start K7Agent
# Restart agent service (Linux/macOS)
sudo systemctl restart k7-agent
# View agent logs
k7-console --view-logs --component agent --lines 100
Profile Application Failures
# Validate profile before applying
k7-console --validate-profile myprofile.yaml --verbose
# Check profile compatibility
k7-console --check-compatibility \
--profile myprofile.yaml \
--platform windows \
--version 11
# Apply with dry-run
k7-console --apply-profile myprofile.yaml --dry-run
Performance Issues
# Reduce memory scanner frequency
protection_layers:
memory_scanner:
state: enabled
sensitivity: "medium"
scan_interval_seconds: 600 # Increase from 300
exclude_processes:
- "node.exe"
- "docker.exe"
# View resource usage
k7-console --resource-usage
# Optimize database
k7-console --optimize-database
# Clear old quarantine items
k7-console --purge-quarantine --older-than 30d
AI Integration Issues
# Test API connectivity
curl -X POST https://api.openai.com/v1/chat/completions \
-H "Authorization: Bearer ${OPENAI_API_KEY}" \
-H "Content-Type: application/json" \
-d '{"model":"gpt-4-turbo","messages":[{"role":"user","content":"test"}]}'
# View AI integration logs
k7-console --view-logs --component ai-integration --lines 50
# Disable AI temporarily
k7-console --toggle-ai-integration --disable
Network Connectivity
# Test endpoint connectivity
k7-console --test-connection --target 192.168.1.100 --port 4451
# Check firewall rules
k7-console --check-firewall
# View network statistics
k7-console --network-stats --last 1h
Environment Variables
# Administrative credentials
export K7_ADMIN_CERT="/path/to/admin.pem"
export K7_ADMIN_KEY="/path/to/admin.key"
# AI integration
export OPENAI_API_KEY="your-openai-key"
export ANTHROPIC_API_KEY="your-claude-key"
# Logging destinations
export SYSLOG_SERVER="logs.company.internal"
export ELASTICSEARCH_URL="https://elk.company.internal:9200"
export ES_USERNAME="k7_logger"
export ES_PASSWORD="secure-password"
# Notifications
export SLACK_WEBHOOK_URL="https://hooks.slack.com/services/XXX/YYY/ZZZ"
export SPLUNK_HEC_URL="https://splunk.company.internal:8088"
export SPLUNK_HEC_TOKEN="your-hec-token"
Best Practices
- Always validate profiles before deployment:
k7-console --validate-profile - Use environment-specific profiles (dev, staging, prod)
- Enable verbose logging during initial deployment
- Test AI integrations in non-production first
- Set appropriate retention policies to manage storage
- Document exception rules with reasons and expiration dates
- Monitor resource usage on endpoints regularly
- Keep threat intelligence updated via scheduled tasks
- Use centralized logging for compliance and forensics
- Implement webhook notifications for critical events
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
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