k7-total-security-deployment-automation

# K7 Total Security Deployment Automation > Skill by [ara.so](https://ara.so) — Security Skills collection. ## Overview K7 Total Security 16.0.1195 is an enterprise-grade endpoint protection framework that provides signatureless AI detection, multi-platform synchronization, and modular protection layers. This skill enables automated deployment, configuration management, and AI-powered threat analysis integration across heterogeneous environments. **Key capabilities:** - Unified security profiles deployable to Windows, macOS, and Linux - Signatureless behavioral threat detection - AI-powered incident analysis via OpenAI/Claude APIs - Multi-layer protection: executable guard, memory scanner, USB filter, web filter - Centralized policy management and SIEM integration ## Installation ### Prerequisites ```bash # Ensure administrative/root privileges # Windows: Run as Administrator # macOS/Linux: Use sudo # Verify system requirements # - Windows 10/11 or Server 2025 (x64, ARM64) # - macOS 14+ Sonoma/15 Sequoia (Apple Silicon, Intel) # - Linux Ubuntu 24.04+, Debian 12+, RHEL 9+ (x64, ARM64) ``` ### Deploy K7 Console ```bash # Download and install the management console # Windows curl -L https://releases.k7security.com/console/k7-console-16.0.1195-win-x64.msi -o k7-console.msi msiexec /i k7-console.msi /quiet /norestart # macOS curl -L https://releases.k7security.com/console/k7-console-16.0.1195-macos.pkg -o k7-console.pkg sudo installer -pkg k7-console.pkg -target / # Linux curl -L https://releases.k7security.com/console/k7-console-16.0.1195-linux-x64.tar.gz -o k7-console.tar.gz tar -xzf k7-console.tar.gz sudo ./k7-console/install.sh # Verify installation k7-console --version # Expected: K7 Total Security Console 16.0.1195 ``` ## Configuration ### Basic Profile Structure K7 uses YAML-based configuration profiles for policy management: ```yaml # basic-protection.yaml profile_name: "Basic Enterprise Protection" version: "16.0.1195" enforcement_level: "adaptive" # Options: strict, adaptive, permissive protection_layers: executable_guard: state: enabled action_on_threat: "quarantine" # Options: quarantine, block, log_only exceptions: - path: "C:\\Program Files\\TrustedApp\\*" - path: "/usr/local/bin/safe-script" memory_scanner: state: enabled sensitivity: "medium" # Options: low, medium, high scan_interval_seconds: 600 usb_filter: state: enabled policy: "read_only_for_unknown" # Options: block_all, read_only_for_unknown, allow_all allow_list: - vendor_id: "0x0781" # SanDisk - vendor_id: "0x13FE" # Kingston web_filter: state: enabled categories_blocked: - "malware_distribution" - "phishing" - "cryptomining_scripts" allow_list: - domain: "*.internal.company.com" logging: verbose: true retention_days: 90 forward_to: - syslog_server: "${SYSLOG_HOST}:514" - elasticsearch: "${ELASTIC_ENDPOINT}" notifications: email: enabled: true recipients: - "${SECURITY_EMAIL}" webhook: enabled: true url: "${SLACK_WEBHOOK_URL}" ``` ### AI Integration Configuration ```yaml # ai-enhanced-protection.yaml profile_name: "AI-Enhanced Security" version: "16.0.1195" enforcement_level: "adaptive" protection_layers: executable_guard: state: enabled action_on_threat: "quarantine" memory_scanner: state: enabled sensitivity: "high" scan_interval_seconds: 300 ai_integration: incident_analysis: provider: "openai" # Options: openai, claude endpoint: "https://api.openai.com/v1/chat/completions" api_key_env: "OPENAI_API_KEY" model: "gpt-4-turbo" max_tokens: 2000 temperature: 0.3 system_prompt: "Analyze security incidents and provide actionable threat intelligence." automated_response: provider: "claude" endpoint: "https://api.anthropic.com/v1/messages" api_key_env: "ANTHROPIC_API_KEY" model: "claude-3-opus-20240229" max_tokens: 1500 webhook_retries: 3 actions: - "generate_incident_report" - "suggest_containment_steps" - "create_response_script" threat_intelligence: feed_enabled: true sources: - "https://threat-intel.k7security.com/v1/feeds" update_interval_hours: 6 ``` ## Key Commands ### Profile Management ```bash # Apply profile to local endpoint k7-console --apply-profile ./basic-protection.yaml # Apply profile to remote endpoint k7-console --apply-profile ./ai-enhanced-protection.yaml \ --target 192.168.1.100 \ --auth-file ./admin-credentials.pem \ --log-level verbose \ --timeout 120 # Validate profile syntax without applying k7-console --validate-profile ./custom-profile.yaml # List active profiles on endpoint k7-console --list-profiles --target 192.168.1.100 # Export current configuration k7-console --export-config --output ./current-config.yaml ``` ### Status and Monitoring ```bash # Check protection status k7-console --status # View real-time threat events k7-console --tail-events --filter "severity>=high" # Generate security report k7-console --report --format json --output ./security-report.json # Test AI integration k7-console --test-ai-integration --provider openai ``` ### Bulk Deployment ```bash # Deploy to multiple endpoints from inventory file k7-console --bulk-deploy \ --profile ./enterprise-profile.yaml \ --inventory ./endpoints.txt \ --parallel 10 \ --auth-file ./admin-credentials.pem # endpoints.txt format: # 192.168.1.100 # 192.168.1.101 # 192.168.1.102 ``` ## Code Examples ### Python: Automated Profile Deployment ```python import subprocess import json import os from pathlib import Path class K7SecurityManager: def __init__(self, console_path="k7-console", auth_file=None): self.console_path = console_path self.auth_file = auth_file or os.getenv("K7_AUTH_FILE") def apply_profile(self, profile_path, target_ip, timeout=120): """Apply security profile to remote endpoint.""" cmd = [ self.console_path, "--apply-profile", profile_path, "--target", target_ip, "--auth-file", self.auth_file, "--log-level", "verbose", "--timeout", str(timeout), "--output", "json" ] result = subprocess.run(cmd, capture_output=True, text=True) if result.returncode != 0: raise Exception(f"Profile deployment failed: {result.stderr}") return json.loads(result.stdout) def get_status(self, target_ip): """Retrieve protection status from endpoint.""" cmd = [ self.console_path, "--status", "--target", target_ip, "--auth-file", self.auth_file, "--output", "json" ] result = subprocess.run(cmd, capture_output=True, text=True) return json.loads(result.stdout) def bulk_deploy(self, profile_path, endpoint_list, parallel=5): """Deploy profile to multiple endpoints.""" # Write endpoints to temporary file temp_inventory = Path("/tmp/k7_endpoints.txt") temp_inventory.write_text("\n".join(endpoint_list)) cmd = [ self.console_path, "--bulk-deploy", "--profile", profile_path, "--inventory", str(temp_inventory), "--parallel", str(parallel), "--auth-file", self.auth_file, "--output", "json" ] result = subprocess.run(cmd, capture_output=True, text=True) temp_inventory.unlink() return json.loads(result.stdout) # Usage manager = K7SecurityManager(auth_file="./admin-credentials.pem") # Deploy to single endpoint response = manager.apply_profile( profile_path="./enterprise-profile.yaml", target_ip="192.168.1.100" ) print(f"Deployment status: {response['status']}") print(f"Active layers: {response['protection_layers_active']}") # Deploy to multiple endpoints endpoints = ["192.168.1.100", "192.168.1.101", "192.168.1.102"] results = manager.bulk_deploy( profile_path="./enterprise-profile.yaml", endpoint_list=endpoints, parallel=3 ) print(f"Successfully deployed to {results['successful_count']} endpoints") ``` ### Python: AI-Powered Threat Analysis ```python import subprocess import json import os class K7AIAnalyzer: def __init__(self, console_path="k7-console"): self.console_path = console_path self.openai_key = os.getenv("OPENAI_API_KEY") self.anthropic_key = os.getenv("ANTHROPIC_API_KEY") def analyze_threat_event(self, event_id, provider="openai"): """Request AI analysis of a specific threat event.""" cmd = [ self.console_path, "--analyze-event", event_id, "--ai-provider", provider, "--output", "json" ] env = os.environ.copy() if provider == "openai": env["OPENAI_API_KEY"] = self.openai_key elif provider == "claude": env["ANTHROPIC_API_KEY"] = self.anthropic_key result = subprocess.run(cmd, capture_output=True, text=True, env=env) return json.loads(result.stdout) def generate_response_script(self, threat_type, severity): """Generate automated response script using AI.""" cmd = [ self.console_path, "--generate-response", "--threat-type", threat_type, "--severity", severity, "--ai-provider", "claude", "--output", "json" ] env = os.environ.copy() env["ANTHROPIC_API_KEY"] = self.anthropic_key result = subprocess.run(cmd, capture_output=True, text=True, env=env) response = json.loads(result.stdout) return response["script"] # Usage analyzer = K7AIAnalyzer() # Analyze a detected threat analysis = analyzer.analyze_threat_event( event_id="evt_20260312_142301_001", provider="openai" ) print(f"Threat type: {analysis['threat_type']}") print(f"Severity: {analysis['severity']}") print(f"Recommended action: {analysis['recommended_action']}") print(f"AI explanation: {analysis['ai_explanation']}") # Generate response script script = analyzer.generate_response_script( threat_type="memory_injection", severity="high" ) print("Generated response script:") print(script) ``` ### Bash: Automated Profile Update Script ```bash #!/bin/bash # update-k7-profiles.sh - Update security profiles across all endpoints set -e PROFILE_DIR="./profiles" INVENTORY_FILE="./endpoints.txt" AUTH_FILE="${K7_AUTH_FILE:-./admin-credentials.pem}" LOG_FILE="./deployment-$(date +%Y%m%d-%H%M%S).log" # Function to deploy profile deploy_profile() { local profile=$1 local target=$2 echo "[$(date)] Deploying ${profile} to ${target}" | tee -a "$LOG_FILE" if k7-console --apply-profile "${PROFILE_DIR}/${profile}" \ --target "$target" \ --auth-file "$AUTH_FILE" \ --log-level verbose \ --timeout 120 >> "$LOG_FILE" 2>&1; then echo "[$(date)] ✓ Success: ${target}" | tee -a "$LOG_FILE" return 0 else