K7 Total Security Unified Defense Framework
Skill by ara.so — Security Skills collection.
Overview
K7 Total Security 16.0.1195 is a unified endpoint protection framework providing multi-layered defense across Windows, macOS, and Linux platforms. The system employs signatureless AI detection, behavioral monitoring, and centralized policy management with external AI integration (OpenAI/Claude) for threat analysis.
Key Capabilities:
- Cross-platform security profile deployment (Windows, macOS, Linux)
- Signatureless AI-based threat detection
- Modular protection layers (executable guard, memory scanner, USB/web filters)
- AI-powered incident analysis via OpenAI GPT and Claude APIs
- Centralized management console with remote policy application
- SIEM integration and webhook alerting
Installation
Prerequisites
- Administrative/root access on target systems
- Network connectivity for central management
- Optional: API keys for OpenAI/Claude integration
Installation Methods
Windows:
# Download and install agent
Invoke-WebRequest -Uri "https://k7-releases.example/K7-Agent-16.0.1195-x64.msi" -OutFile "K7-Agent.msi"
msiexec /i K7-Agent.msi /quiet /log install.log MANAGEMENT_SERVER="10.0.1.50"
macOS:
# Install via DMG or Homebrew
brew tap k7security/tap
brew install k7-total-security
# Configure management server
sudo k7-agent --set-server 10.0.1.50 --enroll
Linux (Ubuntu/Debian):
# Add repository and install
wget -qO - https://apt.k7security.example/pubkey.gpg | sudo apt-key add -
echo "deb https://apt.k7security.example/ stable main" | sudo tee /etc/apt/sources.list.d/k7.list
sudo apt update && sudo apt install k7-total-security
# Configure
sudo k7-agent configure --server 10.0.1.50
Configuration
Profile Structure
Security profiles are defined in YAML format and applied via the management console or CLI:
profile_name: "production_strict"
version: "16.0.1195"
enforcement_level: "strict" # strict | adaptive | permissive
protection_layers:
executable_guard:
state: enabled
action_on_threat: "quarantine" # quarantine | block | alert
exceptions:
- path: "/opt/approved-tools/*"
- hash: "sha256:abc123..."
memory_scanner:
state: enabled
sensitivity: "high" # low | medium | high
scan_interval_seconds: 300
usb_filter:
state: enabled
policy: "block_all" # allow_all | read_only | block_all | read_only_for_unknown
allow_list:
- vendor_id: "0x0781" # SanDisk
- serial: "ABC-12345"
web_filter:
state: enabled
categories_blocked:
- "malware_distribution"
- "phishing"
- "cryptomining_scripts"
- "c2_servers"
allow_list:
- domain: "*.trusted-cdn.com"
- ip_range: "10.0.0.0/8"
ai_integration:
incident_analysis:
provider: "openai" # openai | claude | none
model: "gpt-4-turbo"
endpoint: "https://api.openai.com/v1/chat/completions"
api_key_env: "K7_OPENAI_API_KEY"
max_tokens: 2000
temperature: 0.3
automated_response:
provider: "claude"
model: "claude-3-opus-20240229"
endpoint: "https://api.anthropic.com/v1/messages"
api_key_env: "K7_CLAUDE_API_KEY"
webhook_retries: 3
logging:
verbose: true
retention_days: 90
forward_to:
- type: "syslog"
server: "10.0.1.50:514"
- type: "elasticsearch"
url: "https://logs.example.io:9200"
index_prefix: "k7-security"
notifications:
email:
enabled: true
smtp_server: "smtp.example.com:587"
from: "k7-alerts@example.com"
recipients:
- "secops@example.com"
webhook:
enabled: true
url_env: "K7_SLACK_WEBHOOK"
format: "slack" # slack | discord | teams | generic
Environment Variables
Set these in your deployment environment:
# AI Integration
export K7_OPENAI_API_KEY="sk-..."
export K7_CLAUDE_API_KEY="sk-ant-..."
# Webhook Notifications
export K7_SLACK_WEBHOOK="https://hooks.slack.com/services/..."
# Management Server
export K7_MGMT_SERVER="10.0.1.50"
export K7_MGMT_PORT="4451"
export K7_AUTH_CERT="/path/to/admin.pem"
CLI Commands
k7-console (Management Console)
# Apply profile to remote endpoint
k7-console --apply-profile production_strict.yaml \
--target 192.168.8.105 \
--auth-file $K7_AUTH_CERT \
--log-level verbose \
--timeout 120
# Bulk deployment to multiple hosts
k7-console --apply-profile production_strict.yaml \
--target-file hosts.txt \
--parallel 10 \
--auth-file $K7_AUTH_CERT
# Query endpoint status
k7-console --query-status --target 192.168.8.105 \
--auth-file $K7_AUTH_CERT \
--output json
# Force policy sync
k7-console --sync-policy --target 192.168.8.105 \
--auth-file $K7_AUTH_CERT
# View active threats
k7-console --list-threats --target 192.168.8.105 \
--since "2026-01-01" \
--severity high
k7-agent (Local Agent)
# Check agent status
k7-agent status
# Manual scan
k7-agent scan --path /home/user/Downloads --deep
# Update threat definitions
k7-agent update --force
# View quarantine
k7-agent quarantine list
# Restore quarantined file
k7-agent quarantine restore --id QID-12345
# Generate diagnostic report
k7-agent diagnostics --output /tmp/k7-diag.zip
# Configure local settings
k7-agent configure --memory-limit 2G --scan-threads 4
Code Examples
Python: Policy Deployment Automation
import yaml
import subprocess
import os
from pathlib import Path
class K7PolicyManager:
def __init__(self, auth_cert_path: str, mgmt_server: str = None):
self.auth_cert = auth_cert_path
self.mgmt_server = mgmt_server or os.getenv('K7_MGMT_SERVER')
def apply_profile(self, profile_path: str, targets: list[str],
timeout: int = 120) -> dict:
"""Apply security profile to multiple endpoints."""
results = {}
for target in targets:
cmd = [
'k7-console',
'--apply-profile', profile_path,
'--target', target,
'--auth-file', self.auth_cert,
'--timeout', str(timeout),
'--output', 'json'
]
try:
result = subprocess.run(
cmd,
capture_output=True,
text=True,
check=True
)
results[target] = {
'success': True,
'output': result.stdout
}
except subprocess.CalledProcessError as e:
results[target] = {
'success': False,
'error': e.stderr
}
return results
def generate_profile(self, name: str, enforcement: str = 'adaptive',
ai_provider: str = 'openai') -> str:
"""Generate a security profile from template."""
profile = {
'profile_name': name,
'version': '16.0.1195',
'enforcement_level': enforcement,
'protection_layers': {
'executable_guard': {
'state': 'enabled',
'action_on_threat': 'quarantine'
},
'memory_scanner': {
'state': 'enabled',
'sensitivity': 'high',
'scan_interval_seconds': 300
},
'usb_filter': {
'state': 'enabled',
'policy': 'read_only_for_unknown'
},
'web_filter': {
'state': 'enabled',
'categories_blocked': [
'malware_distribution',
'phishing',
'cryptomining_scripts'
]
}
},
'ai_integration': {
'incident_analysis': {
'provider': ai_provider,
'model': 'gpt-4-turbo' if ai_provider == 'openai' else 'claude-3-opus-20240229',
'api_key_env': f'K7_{ai_provider.upper()}_API_KEY',
'max_tokens': 2000
}
}
}
output_path = f'/tmp/k7-profile-{name}.yaml'
with open(output_path, 'w') as f:
yaml.dump(profile, f, default_flow_style=False)
return output_path
# Usage
manager = K7PolicyManager(auth_cert_path='/etc/k7/admin.pem')
# Generate profile
profile_path = manager.generate_profile(
name='dev_workstations',
enforcement='adaptive',
ai_provider='openai'
)
# Deploy to endpoints
targets = ['192.168.1.10', '192.168.1.11', '192.168.1.12']
results = manager.apply_profile(profile_path, targets)
for target, result in results.items():
if result['success']:
print(f"✓ {target}: Profile applied successfully")
else:
print(f"✗ {target}: {result['error']}")
Bash: Automated Threat Response
#!/bin/bash
# k7-threat-monitor.sh - Monitor and respond to threats
K7_AUTH_CERT="${K7_AUTH_CERT:-/etc/k7/admin.pem}"
ALERT_WEBHOOK="${K7_SLACK_WEBHOOK}"
monitor_threats() {
local target="$1"
# Query for high-severity threats in last hour
threats=$(k7-console --list-threats \
--target "$target" \
--auth-file "$K7_AUTH_CERT" \
--since "1 hour ago" \
--severity high \
--output json)
if [ "$(echo "$threats" | jq '.count')" -gt 0 ]; then
echo "⚠️ High-severity threats detected on $target"
# Send webhook alert
send_alert "$target" "$threats"
# Trigger AI analysis
analyze_with_ai "$target" "$threats"
# Auto-isolate if critical
if [ "$(echo "$threats" | jq '.critical_count')" -gt 0 ]; then
isolate_endpoint "$target"
fi
fi
}
send_alert() {
local target="$1"
local threats="$2"
curl -X POST "$ALERT_WEBHOOK" \
-H 'Content-Type: application/json' \
-d @- <<EOF
{
"text": "K7 Security Alert",
"attachments": [{
"color": "danger",
"title": "Threats detected on $target",
"text": "$(echo "$threats" | jq -r '.summary')",
"fields": [
{
"title": "Severity",
"value": "HIGH",
"short": true
},
{
"title": "Count",
"value": "$(echo "$threats" | jq '.count')",
"short": true
}
]
}]
}
EOF
}
analyze_with_ai() {
local target="$1"
local threats="$2"
# Trigger AI analysis via K7 console
k7-console --analyze-threat \
--target "$target" \
--auth-file "$K7_AUTH_CERT" \
--threat-data "$threats" \
--ai-provider openai \
--output /var/log/k7/analysis-$(date +%s).json
}
isolate_endpoint() {
local target="$1"
echo "🔒 Isolating endpoint $target"
k7-console --isolate \
--target "$target" \
--auth-file "$K7_AUTH_CERT" \
--reason "Critical threat detected - automated response"
}
# Monitor list of endpoints
ENDPOINTS_FILE="${1:-/etc/k7/monitored-hosts.txt}"
while IFS= read -r endpoint; do
monitor_threats "$endpoint"
done < "$ENDPOINTS_FILE"
PowerShell: Windows Fleet Management
# K7-FleetManager.ps1
class K7FleetManager {
[string]$AuthCert
[string]$MgmtServer
K7FleetManager([string]$authCertPath) {
$this.AuthCert = $authCertPath
$this.MgmtServer = $env:K7_MGMT_SERVER
}
[hashtable] GetEndpointStatus([string[]]$targets) {
$results = @{}
foreach ($target in $targets) {
$cmd = @(
'k7-console',
'--query-status',
'--target', $target,
'--auth-file', $this.AuthCert,
'--output', 'json'
)
try {
$output = & $cmd[0] $cmd[1..($cmd.Length-1)] 2>&1 | ConvertFrom-Json
$results[$target] = @{
Success = $true
Status = $output
}
}
catch {
$results[$target] = @{
Success = $false
Error = $_.Exception.Message
}
}
}
return $results
}
[void] DeployProfileByGroup([hashtable]$groupProfiles) {
foreach ($group in $groupProfiles.Keys) {
$profilePath = $groupProfiles[$group].Profile
$targets = $groupProfiles[$group].Endpoints
Write-Host "Deploying profile '$profilePath' to $($targets.Count) endpoints in group '$group'"
$cmd = @(
'k7-console',
'--apply-profile', $profilePath,
'--target-file', ($targets -join "`n" | Out-File -FilePath "$env:TEMP\k7-targets-$group.txt" -PassThru).FullName,
'--auth-file', $this.AuthCert,
'--parallel', '10'
)
& $cmd[0] $cmd[1..($cmd.Length-1)]
}
}
[object[]] AuditCompliance([string[]]$targets, [string]$requiredProfile) {
$nonCompliant = @()
$statuses = $this.GetEndpointStatus($targets)
foreach ($target in $statuses.Keys) {
if ($statuses[$target].Success) {
$currentProfile = $statuses[$target].Status.active_profile
if ($currentProfile -ne $requiredProfile) {
$nonCompliant += [PSCustomObject]@{
Endpoint = $target
CurrentProfile = $currentProfile
RequiredProfile = $requiredProfile
}
}
}
}
return $nonCompliant
}
}
# Usage
$manager = [K7FleetManager]::new("C:\K7\admin.pem")
# Deploy profiles by organizational groups
$groupProfiles = @{
'Engineering' = @{
Profile = 'C:\K7\profiles\engineering-adaptive.yaml'
Endpoints = @('10.0.1.10', '10.0.1.11', '10.0.1.12')
}
'Finance' = @{
Profile = 'C:\K7\profiles\finance-strict.yaml'
Endpoints = @('10.0.2.10', '10.0.2.11')
}
}
$manager.DeployProfileByGroup($groupProfiles)
# Audit compliance
$nonCompliant = $manager.AuditCompliance(
@('10.0.1.10', '10.0.1.11', '10.0.2.10'),
'production_strict'
)
if ($nonCompliant.Count -gt 0) {
Write-Warning "Found $($nonCompliant.Count) non-compliant endpoints:"
$nonCompliant | Format-Table
}
Common Patterns
Pattern 1: Zero-Trust USB Policy
profile_name: "zero_trust_usb"
version: "16.0.1195"
protection_layers:
usb_filter:
state: enabled
policy: "block_all"
allow_list:
# Only allow specific approved devices by serial
- vendor_id: "0x0781"
product_id: "0x5581"
serial: "APPROVED-SN-001"
- vendor_id: "0x13FE"
product_id: "0x4200"
serial: "APPROVED-SN-002"
auto_scan: true
mount_read_only: true
log_all_attempts: true
notifications:
webhook:
enabled: true
url_env: "K7_USB_ALERT_WEBHOOK"
notify_on:
- "unauthorized_usb_attempt"
- "usb_scan_threat_found"
Pattern 2: Developer Workstation (Balanced)
profile_name: "developer_balanced"
version: "16.0.1195"
enforcement_level: "adaptive"
protection_layers:
executable_guard:
state: enabled
action_on_threat: "alert" # Alert only, don't block
exceptions:
- path: "/home/*/.npm/*"
- path: "/opt/nodejs/*"
- path: "/usr/local/bin/docker*"
- path: "C:\\Program Files\\Docker\\*"
- path: "C:\\Users\\*\\AppData\\Local\\Programs\\*"
memory_scanner:
state: enabled
sensitivity: "medium"
scan_interval_seconds: 600 # Less frequent
exclude_processes:
- "node"
- "python"
- "docker"
web_filter:
state: enabled
categories_blocked:
- "malware_distribution"
- "phishing"
allow_list:
- domain: "*.npmjs.com"
- domain: "*.github.com"
- domain: "*.docker.io"
ai_integration:
incident_analysis:
provider: "openai"
model: "gpt-4-turbo"
api_key_env: "K7_OPENAI_API_KEY"
Pattern 3: Multi-Site SIEM Integration
profile_name: "enterprise_siem"
version: "16.0.1195"
logging:
verbose: true
retention_days: 365
forward_to:
# Primary SIEM
- type: "elasticsearch"
url: "https://siem-primary.corp.example:9200"
index_prefix: "k7-security"
auth_env: "K7_ES_PRIMARY_TOKEN"
# Backup SIEM
- type: "elasticsearch"
url: "https://siem-backup.corp.example:9200"
index_prefix: "k7-security"
auth_env: "K7_ES_BACKUP_TOKEN"
# Syslog for legacy systems
- type: "syslog"
server: "10.0.10.50:514"
protocol: "tcp"
format: "rfc5424"
enrichment:
include_system_info: true
include_user_context: true
include_process_tree: true
Troubleshooting
Agent Not Connecting to Management Server
Symptom: Agent shows "Disconnected" status
# Check network connectivity
k7-agent diagnostics --network-test
# Verify certificate
openssl verify -CAfile /etc/k7/ca.crt $K7_AUTH_CERT
# Test management server reachability
nc -zv $K7_MGMT_SERVER 4451
# Check agent logs
k7-agent logs --tail 100 --level error
# Force re-enrollment
sudo k7-agent configure --server $K7_MGMT_SERVER --force-enroll
High Memory Usage
Symptom: Agent consuming excessive RAM
# Check current memory usage
k7-agent status --verbose | grep Memory
# Adjust memory limits
k7-agent configure --memory-limit 1G --scan-threads 2
# Exclude large directories from real-time scanning
# Edit profile and add exceptions
k7-agent configure --exclude-path /mnt/large-storage
Profile Application Fails
Symptom: k7-console --apply-profile returns error
# Validate profile syntax
k7-console --validate-profile production.yaml
# Check permissions
ls -l production.yaml
stat $K7_AUTH_CERT
# Test with verbose output
k7-console --apply-profile production.yaml \
--target 192.168.1.10 \
--auth-file $K7_AUTH_CERT \
--log-level debug \
--dry-run # Test without applying
# Check target agent version compatibility
k7-console --query-status --target 192.168.1.10 \
--auth-file $K7_AUTH_CERT | grep version
AI Integration Not Working
Symptom: Threat analysis not invoking AI
# Verify API key is set
echo $K7_OPENAI_API_KEY | wc -c # Should be >0
# Test API connectivity
curl -H "Authorization: Bearer $K7_OPENAI_API_KEY" \
https://api.openai.com/v1/models
# Check AI integration logs
k7-console --query-logs --target 192.168.1.10 \
--auth-file $K7_AUTH_CERT \
--filter "ai_integration" \
--since "1 hour ago"
# Verify profile has correct AI settings
grep -A10 "ai_integration:" production.yaml
USB Filter Blocking Legitimate Device
Symptom: Approved USB device is blocked
# List currently connected USB devices
lsusb # Linux
system_profiler SPUSBDataType # macOS
# Get vendor/product IDs
# Add to allow_list in profile
k7-agent usb list --verbose
# Temporarily allow device (until next policy sync)
k7-agent usb allow --vendor-id 0x0781 --serial ABC123
# Update profile and re-apply
# Edit yaml file, then:
k7-console --apply-profile updated.yaml --target <host>
Best Practices
- Always use environment variables for secrets — Never hardcode API keys or credentials in profiles
- Test profiles in dry-run mode before deploying to production
- Use adaptive enforcement for developer workstations, strict for production servers
- Enable verbose logging initially, reduce after stabilization
- Set up automated compliance audits to detect configuration drift
- Integrate with existing SIEM for centralized monitoring
- Define clear exception paths for development tools and CI/CD systems
- Implement AI analysis for high-severity threats to reduce response time
- Regularly update threat definitions via
k7-agent update - Backup profile configurations and version control them in Git