Terra Security Commands

Overview

Terra Security is an agentic offensive security platform that combines human pentesters with AI agents to streamline penetration testing and vulnerability assessment. The platform launched Terra Portal in March 2026 and raised $30M Series A funding from Felicis, establishing itself as a leader in AI-driven security testing.

Key Features

Ambient AI Agents: Autonomous reconnaissance, vulnerability scanning, and exploitation validation
Copilot AI Agents: Human-directed controlled exploitation with real-time guidance
Human-in-the-Loop Governance: Security controls ensure responsible testing within defined scope
Automated Reporting: Comprehensive vulnerability documentation with remediation guidance
Enterprise Integration: CI/CD pipelines, ticketing systems, SIEM platforms

Platform Architecture

Terra Portal (Desktop/Web App)
├── Agent Management Console
├── Scope & Workflow Configuration
├── Real-time Monitoring Dashboard
├── Vulnerability Reporting Engine
└── Integration Hub

Terra Portal Setup

Installation

Desktop Application

Step	Action
1	Download Terra Portal from terra.security
2	Run installer (Windows/macOS/Linux)
3	Accept security permissions for system-level network access
4	Launch and authenticate with organizational credentials
5	Configure proxy settings if required

Web-Based Console

Access via: https://portal.terra.security
Authentication: SSO/OAuth or API token
Requirements: Modern browser (Chrome, Firefox, Safari, Edge)

Initial Configuration

Setting	Description
Organization Setup	Create/join organization, configure admin permissions
API Credentials	Generate authentication tokens for CI/CD and API access
Network Configuration	Define internal networks, proxy settings, VPN requirements
Notification Preferences	Email, Slack, webhook alerts for agent activity and findings
Default Agent Settings	Base configuration for Ambient and Copilot agent instances
Compliance Framework	Select applicable standards (OWASP, PTES, NIST)

Authentication Methods

# API Token Authentication
Authorization: Bearer YOUR_API_TOKEN
X-Organization-ID: org_xxxxx

# SSO Integration
Provider: Okta, Azure AD, Google Workspace
Auto-provisioning: Enabled/Disabled

# Service Accounts
For CI/CD: Create service account with scoped permissions
Token rotation: 90-day default interval

Agent Types

Ambient AI Agents

Autonomous agents operating within defined scope and depth parameters to continuously assess security posture.

Agent Type	Capabilities
Asset Discovery Agent	Network reconnaissance, inventory cataloging, service identification
Code Review Agent	Static analysis, dependency scanning, secret detection
Test Case Generation Agent	Automatic test scenario creation based on discovered assets
Reachability Analysis Agent	Network path mapping, firewall rule analysis, access control validation
Autonomous Pentesting Agent	Vulnerability scanning, exploitation attempts, impact validation
Documentation Agent	Evidence gathering, finding validation, report generation
Remediation Agent	Configuration recommendations, patch guidance, control suggestions

Configuration Example

Ambient Agent Configuration:

  Asset Discovery:
    enabled: true
    scan_frequency: daily
    scope: internal_networks_only
    include_cloud: true

  Code Review:
    enabled: true
    repositories: auto_discover
    scan_pull_requests: true
    secret_detection: strict

  Autonomous Pentesting:
    enabled: true
    depth_level: 3
    max_impact: "informational"
    revert_changes: true
    human_approval_threshold: critical

Copilot AI Agents

Human-directed agents providing real-time assistance during controlled exploitation and manual testing.

Copilot Function	Use Case
Exploitation Guidance	Step-by-step assistance for manual exploitation workflows
Vulnerability Interpretation	Explain findings, impact assessment, exploitation prerequisites
Remediation Planning	Generate fix strategies, patch recommendations, workaround options
Evidence Documentation	Automated screenshot/log capture, finding validation
Reporting Assistance	Real-time report generation, executive summary creation

Copilot Interaction Workflow

1. Pentester identifies vulnerability
   ↓
2. Invoke Copilot: "/assist vuln_id"
   ↓
3. Copilot analyzes context:
   - Vulnerability details
   - System configuration
   - Historical data
   ↓
4. Provides recommendations:
   - Exploitation steps
   - Required tools/payloads
   - Risk assessment
   ↓
5. Pentester executes with guidance
   ↓
6. Copilot documents findings automatically

Workflow Configuration

Scope Definition

Define the boundaries and targets for agent activity.

Configuration	Options
Asset Scope	IP ranges, hostnames, domains, cloud accounts, APIs
Technology Scope	Web apps, APIs, infrastructure, cloud services, mobile
Exclusions	Production databases, customer PII, third-party systems
Environment Tagging	Dev, Staging, Production, Internal, External
Regulatory Scope	PCI-DSS, HIPAA, SOC2, GDPR compliance requirements

Depth & Intensity Controls

Control	Purpose	Levels
Reconnaissance Depth	How thoroughly agents discover assets	1-5 (1=shallow, 5=exhaustive)
Exploitation Depth	How deeply agents attempt to exploit vulnerabilities	1-5 (1=detection only, 5=full compromise)
Intensity/Rate	Query load and test frequency	Low, Medium, High, Custom
Time Windows	When agents operate	Always, Business hours, Custom schedule
Concurrent Agents	Maximum simultaneous agent instances	1-50+ per agent type

Impact Controls

Governance mechanisms to ensure responsible testing.

Control	Configuration
Auto-Revert Changes	Automatically rollback modifications (enabled by default)
Impact Threshold	Maximum allowed disruption (info, low, medium, high)
Human Approval Gate	Require approval for critical-impact actions
Automatic Escalation	Alert administrators if impact exceeds threshold
Resource Limits	CPU/memory/bandwidth caps for agent activity
Rollback Window	Time to manually revert before automatic rollback

Workflow Templates

Workflow: Continuous Assessment
  Schedule: Daily (02:00 UTC)
  Agents:
    - ambient.asset_discovery (depth: 3)
    - ambient.code_review (depth: 4)
    - ambient.vulnerability_scanning (depth: 2)
  Scope: internal_networks
  Impact: low
  Approval: automated

Workflow: Quarterly Pentest
  Schedule: Quarterly
  Agents:
    - ambient.asset_discovery (depth: 5)
    - ambient.autonomous_pentesting (depth: 4)
    - copilot.exploitation (depth: 4)
  Scope: all_production_systems
  Impact: medium
  Approval: human_required
  Duration: 2 weeks

Workflow: Incident Response
  Trigger: manual
  Agents:
    - ambient.reachability_analysis
    - ambient.autonomous_pentesting (depth: 4)
    - copilot.exploitation
  Scope: affected_systems
  Impact: high (with approval)
  Approval: human_required

Reconnaissance Features

Automated Asset Discovery

AI agents automatically catalog organizational assets and attack surfaces.

Discovery Method	Coverage
Network Scanning	CIDR range analysis, service enumeration, OS fingerprinting
DNS Enumeration	Subdomain discovery, DNS record analysis, zone transfers
Cloud API Enumeration	AWS, Azure, GCP account discovery and service mapping
Web Crawling	JavaScript rendering, hidden endpoint discovery, form identification
Certificate Transparency	Historical domain discovery, SSL/TLS certificate tracking
WHOIS/ASN Analysis	IP ownership, autonomous system mapping, geographic analysis
Port Scanning	TCP/UDP ports, service identification, version detection

Attack Surface Mapping

Discovery Output Hierarchy:

Organization
├── Networks
│   ├── Internal Networks
│   │   ├── Subnets
│   │   │   ├── Hosts
│   │   │   │   ├── Services (HTTP, SSH, DB, etc.)
│   │   │   │   │   ├── Endpoints
│   │   │   │   │   └── Technologies
│   │   │   │   └── Vulnerabilities
│   │   │   └── Relationships
│   │   └── Firewall Rules
│   └── External Networks
├── Cloud Resources
│   ├── AWS Accounts
│   ├── Azure Subscriptions
│   ├── GCP Projects
│   └── Cloud Storage
├── Web Applications
│   ├── Endpoints
│   ├── Authentication Methods
│   ├── APIs
│   └── Third-party Integrations
├── Code Repositories
│   ├── Internal repos
│   ├── Public exposure
│   └── Dependency inventory
└── Third-party Integrations
    ├── SaaS applications
    ├── API connections
    └── Data flows

Asset Inventory Management

Feature	Description
Automatic Tagging	AI categorizes assets by type, criticality, exposure level
Relationship Mapping	Connects assets showing data flows and dependencies
Change Tracking	Detects new assets, removed assets, configuration changes
Risk Scoring	Assigns risk based on exposure, vulnerabilities, criticality
Historic Tracking	Maintains discovery history for trend analysis
Export Capabilities	CSV, JSON, XLSX formats for external tools

Vulnerability Assessment

AI-Driven Scanning

Intelligent vulnerability identification combining multiple detection methods.

Scan Type	Description
Pattern-Based Scanning	Known vulnerability signatures (CVSS, CWE databases)
Behavioral Analysis	Anomalous configuration detection, security control gaps
Dependency Scanning	Library/package vulnerability detection with supply chain analysis
Secret Detection	API keys, credentials, tokens in code and configuration
Configuration Audit	Security best practice compliance validation
Access Control Review	Excessive permissions, unused access, segregation violations
Cryptography Analysis	Weak algorithms, certificate validation issues, encryption gaps

Vulnerability Prioritization

AI agents automatically prioritize findings based on:

Priority Score = (CVSS × Exploitability) × Accessibility × Business Impact

Factors:
- CVSS 3.1 Base Score
- Exploitability:
  * Requires network access
  * Requires user interaction
  * Requires authentication
  * Attack complexity
- Accessibility:
  * External exposure
  * Internal accessibility
  * Direct/indirect access
- Business Impact:
  * PII exposure
  * System criticality
  * Revenue impact
  * Compliance violation

Output: Critical → High → Medium → Low → Informational

Vulnerability Categorization

Category	Examples
Authentication	Default credentials, weak authentication, session management flaws
Authorization	Privilege escalation, insecure direct object references, broken access control
Injection Flaws	SQL injection, command injection, LDAP injection, template injection
Sensitive Data Exposure	Unencrypted data, inadequate encryption, data leakage, PII exposure
XML/External Entities	XXE attacks, billion laughs, external entity injection
Broken Access Control	Insecure direct object references, missing access control, path traversal
Security Misconfiguration	Default configuration, unnecessary services, verbose error messages
Insecure Deserialization	Object injection, gadget chains, deserialization attacks
Using Components with Known Vulnerabilities	Outdated libraries, unpatched dependencies
Insufficient Logging	Missing audit trails, inadequate monitoring, poor alerting

Exploitation Workflows

Human-Governed Exploitation

All exploitation activities maintain human oversight and control.

Exploitation Workflow

1. Discovery Phase
   - Agents identify vulnerability
   - Assess exploitability
   - Determine prerequisites
   ↓
2. Planning Phase
   - Generate exploitation strategy
   - Estimate impact
   - Identify revert steps
   ↓
3. Approval Gate
   - If critical impact: requires human approval
   - If medium impact: automated approval with notification
   - If low impact: automated approval
   ↓
4. Execution Phase
   - Execute exploitation steps
   - Monitor for unexpected behavior
   - Capture evidence
   ↓
5. Validation Phase
   - Confirm successful exploitation
   - Document impact
   - Identify lateral movement opportunities
   ↓
6. Revert Phase
   - Execute pre-planned revert steps
   - Verify system restoration
   - Clean up artifacts
   ↓
7. Documentation Phase
   - Generate findings report
   - Document proof-of-concept
   - Create remediation recommendations

Safety Controls During Exploitation

Control	Function
Pre-execution Validation	Verify target is in scope before any action
Dry-run Mode	Execute exploitation logic without actual impact
Rollback Planning	Pre-plan and validate revert steps before execution
Real-time Monitoring	Watch system health during exploitation
Automatic Halt	Stop if unexpected conditions detected
Resource Throttling	Limit CPU/network/memory consumption
Time Limits	Automatic termination after duration threshold
Change Logging	Audit trail of all modifications
Isolation Mode	Optional: isolate target during testing

Exploitation Capabilities

Type	Description
Credential Testing	Default credential attempts, brute force with controls
Known Vulnerability Exploitation	CVE-based exploits with proven success paths
Logic Flow Exploitation	Business logic flaws, workflow manipulation
Lateral Movement	Post-compromise movement with scope controls
Privilege Escalation	Local/OS-level escalation with permission validation
Data Exfiltration Validation	Simulated data access with no actual extraction
Persistence Mechanism Testing	Backdoor placement validation with automatic removal

Reporting

Automated Vulnerability Reports

Terra Security generates comprehensive reports automatically throughout testing.

Report Components

Section	Contents
Executive Summary	Key findings, risk overview, remediation timeline
Vulnerability Details	Finding ID, title, severity, CVSS, description, evidence
Proof of Concept	Step-by-step exploitation walkthrough, screenshots, logs
Impact Assessment	Business impact, data exposure, system compromise scope
Remediation Guidance	Prioritized fix recommendations, patch guidance, workarounds
Compliance Mapping	Link findings to standards (OWASP, PTES, NIST, PCI-DSS)
Timeline & Metrics	Testing duration, coverage statistics, scope details
Management Summary	Risk timeline, vulnerability trend, metrics dashboard

Report Customization

Report Template Configuration:

  Output Formats:
    - PDF: Executive, detailed, or technical variants
    - HTML: Interactive, shareable version
    - JSON: API integration, ticketing automation
    - CSV: Bulk import to tools

  Customization Options:
    branding: organization_logo
    sections:
      - include_evidence: true
      - include_timeline: true
      - include_remediation: true
      - include_compliance: true
    recipients:
      - ciso@company.com
      - security-team@company.com
    schedule:
      - daily: summary_report
      - weekly: comprehensive_report
      - on_critical: immediate_alert

Finding Lifecycle Management

Status	Description
Open	New finding, not yet addressed
Acknowledged	Organization confirmed receipt and assessed
In Progress	Remediation effort underway
Resolved	Fix applied and validated
False Positive	Finding determined to be invalid, documented reasoning
Risk Accepted	Business decision to accept risk, signed off
Deferred	Accepted but not prioritized for current timeline

Integration

CI/CD Pipeline Integration

Embed Terra Security testing into development workflows.

# GitLab CI Example
security_scan:
  stage: test
  script:
    - terra-cli scan \
        --workflow continuous \
        --scope repository \
        --report-format json \
        --output artifacts/terra-report.json
  artifacts:
    reports:
      sast: artifacts/terra-report.json
    paths:
      - artifacts/terra-report.json
    expire_in: 30 days

# GitHub Actions Example
name: Terra Security Scan
on: [pull_request, push]
jobs:
  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Terra Security Scan
        env:
          TERRA_API_KEY: ${{ secrets.TERRA_API_KEY }}
        run: |
          terra-cli scan \
            --scope ./src \
            --depth 3 \
            --fail-on critical

Ticketing System Integration

Automatically create and manage security findings in issue trackers.

Integration	Features
Jira	Auto-create issues, assign to teams, set priority, link to epics
Azure DevOps	Create work items, integrate with backlogs, track remediation
GitHub Issues	Create issues, link to PRs, track resolution
Linear	Create issues with custom fields, link to projects
ServiceNow	Create incidents/change requests, incident management workflow
Slack	Real-time notifications, finding summaries, remediation tracking

SIEM & Monitoring Integration

Platform	Integration Type
Splunk	Ingest finding logs, create searches, alerts, dashboards
ELK Stack	Feed to Elasticsearch for analysis and visualization
Datadog	Metrics export, APM correlation, alerting
New Relic	Application security data, vulnerability tracking
Prometheus	Metrics export for security dashboards
CloudWatch	AWS integration, log streaming, metric publishing

Safety Controls

Scope Enforcement

Prevent testing outside authorized boundaries.

Scope Enforcement:

  Network Scope:
    allowed_ranges:
      - 10.0.0.0/8
      - 192.168.1.0/24
    blocked_ranges:
      - 0.0.0.0/0
    enforcement: strict

  Asset Scope:
    allowed_assets:
      - tag: testing_approved
      - tag: staging_only
    blocked_assets:
      - tag: production
      - tag: customer_data
      - hostname: "*prod*"
    enforcement: strict

  Application Scope:
    allowed_apps:
      - internal_web_apps
      - staging_environments
    blocked_apps:
      - production_databases
      - customer_data_stores
    enforcement: strict

Depth Limiting

Control how deeply agents operate.

Depth Level	Reconnaissance	Exploitation	Scope
1 - Light	Basic discovery, no intrusive scanning	Detection only	Pre-approved assets
2 - Standard	Active scanning, vulnerability identification	Safe exploitation attempts	Standard testing scope
3 - Moderate	Detailed enumeration, configuration review	Limited lateral movement	Extended scope with approval
4 - Advanced	Comprehensive mapping, dependency analysis	Advanced exploitation, limited persistence testing	Full scope with oversight
5 - Exhaustive	Complete reconnaissance, all available techniques	Full exploitation, post-compromise activities	Maximum scope with human approval

Impact Controls

Prevent unintended damage.

Impact Control Thresholds:

  Severity Limits:
    informational: auto_approved
    low: auto_approved
    medium: auto_approved_with_monitoring
    high: human_approval_required
    critical: human_approval_required_escalated

  System Impact Limits:
    cpu_threshold: 50%
    memory_threshold: 75%
    network_bandwidth: 50% capacity
    availability_impact: none_allowed

  Data Impact Limits:
    no_data_exfiltration: enforced
    no_permanent_changes: enforced_with_rollback
    no_credential_capture: enforced
    audit_logging: always_enabled

Human-in-the-Loop Governance

Human oversight at critical decision points.

Trigger	Approval Required	Timeline
Critical Vulnerability Discovery	Security team lead	2 hours
High-impact Exploitation	CISO or authorized delegate	4 hours
Out-of-Scope Activity Detected	Immediate halt, security review	N/A
Unexpected Behavior	Agent suspended, manual investigation	N/A
Data Access Attempt	Blocked, escalated immediately	N/A
Production System Testing	Security + Infrastructure team	24 hours advance notice

Audit & Compliance Logging

Complete audit trail for compliance and investigation.

Log Type	Contents	Retention
Agent Actions	Every action taken, timestamp, result, user	2 years
Finding Changes	Status changes, assignments, comments	3 years
Approval Decisions	Who approved what, when, justification	3 years
Scope Violations	Blocked activities, attempted out-of-scope actions	2 years
System Changes	Modifications made during testing, rollback logs	1 year
Access Logs	Portal access, API calls, user activity	1 year

API & CLI Usage

Authentication

# Set API token
export TERRA_API_KEY="tk_your_api_token_here"
export TERRA_ORG_ID="org_xxxxx"

# Or in configuration file
~/.terra/config.yaml:
  api_key: tk_xxxxx
  org_id: org_xxxxx
  api_endpoint: https://api.terra.security

CLI Commands (Common Patterns)

# List assets
terra-cli assets list \
  --scope all \
  --format json

# Start a scan workflow
terra-cli scan start \
  --workflow continuous \
  --target 10.0.0.0/24 \
  --depth 3 \
  --agents asset-discovery,code-review

# Check scan status
terra-cli scan status \
  --scan-id scan_xxxxx

# Get findings
terra-cli findings list \
  --scan-id scan_xxxxx \
  --severity critical,high \
  --format json

# Generate report
terra-cli report generate \
  --scan-id scan_xxxxx \
  --template comprehensive \
  --format pdf \
  --output findings_report.pdf

# Approve exploitation
terra-cli exploit approve \
  --finding-id vuln_xxxxx \
  --justification "Production test window authorized"

# Manage scope
terra-cli scope update \
  --add-asset tag=testing_approved \
  --remove-range 192.168.1.0/24

# View agent logs
terra-cli logs \
  --agent-id agent_xxxxx \
  --level debug

API Endpoints (RESTful)

# Authentication
POST /api/v1/auth/token
  Request: {"api_key": "..."}
  Response: {"access_token": "...", "expires_in": 3600}

# List vulnerabilities
GET /api/v1/findings?severity=critical&status=open
  Headers: Authorization: Bearer {token}

# Create scan
POST /api/v1/scans
  Body: {"workflow": "continuous", "scope_id": "...", "depth": 3}

# Update finding status
PATCH /api/v1/findings/{finding_id}
  Body: {"status": "in_progress", "assigned_to": "user_id"}

# Approve exploitation
POST /api/v1/findings/{finding_id}/approve-exploit
  Body: {"justification": "...", "approved_by": "user_id"}

# Generate report
POST /api/v1/scans/{scan_id}/report
  Body: {"template": "comprehensive", "format": "pdf"}

# Stream agent events (WebSocket)
WS /api/v1/agents/{agent_id}/events
  Stream: {"event": "action", "action": "...", "timestamp": "..."}

Best Practices for Agentic Pentesting

Planning & Preparation

Define Clear Scope
- Document exact IP ranges, domains, and assets
- List explicit exclusions (production DBs, customer data)
- Specify testing windows and limitations
- Get written authorization before testing
Configure Agent Behavior
- Set appropriate depth levels for objectives
- Enable impact controls and rollback mechanisms
- Configure time windows to avoid peak usage
- Start conservative, increase depth gradually
Establish Governance
- Define approval criteria and decision-makers
- Set up escalation procedures
- Configure monitoring and alerting
- Document incident response procedures

Execution

Start Small
- Begin with asset discovery agents in low-depth mode
- Validate scope enforcement is working
- Review findings quality and false positive rate
- Build confidence before deeper testing
Monitor Continuously
- Watch real-time agent dashboards
- Review findings as they’re discovered
- Validate that agents stay within scope
- Respond immediately to anomalies
Leverage Copilots
- Use Copilot agents for complex exploitation
- Document guidance and recommendations
- Capture evidence systematically
- Validate findings before closing
Manage Findings
- Prioritize by business impact, not just severity
- Link to business context and risk tolerance
- Coordinate with development teams
- Track remediation progress

Post-Testing

Comprehensive Reporting
- Generate reports at appropriate detail levels
- Customize for different stakeholders
- Include actionable remediation guidance
- Schedule report distribution
Remediation Tracking
- Monitor finding status changes
- Re-test critical findings after fixes
- Validate compensating controls if permanent fix delayed
- Document risk acceptance decisions
Continuous Improvement
- Analyze agent false positive rate
- Adjust configurations based on results
- Increase automation where stable
- Maintain human oversight for complex decisions
- Share learnings with development teams

Security Considerations

Protect Access Credentials
- Store API keys in secure vaults
- Rotate credentials regularly
- Limit token scope to necessary permissions
- Audit API key usage
Maintain Audit Trails
- Enable comprehensive logging
- Archive logs for compliance retention
- Review logs periodically for anomalies
- Integrate with SIEM for correlation
Incident Response
- Have rollback procedures for all changes
- Document unexpected behaviors
- Maintain contact info for emergency halt
- Brief incident response teams on agent capabilities

Resources

Official Documentation & Community

Resource	URL
Terra Security Website	https://terra.security
Documentation Portal	https://docs.terra.security
API Reference	https://api.terra.security/docs
Community Forum	https://community.terra.security
GitHub Integration	https://github.com/terra-security

Learning & Certifications

Program	Description
Certified Agentic Pentester	Official certification for Terra Security platform proficiency
Agent Configuration	Training module for workflow and agent setup
Exploitation Governance	Best practices for human-in-the-loop testing
Integration Patterns	CI/CD, ticketing, and SIEM integration training

Blog & Articles

“Agentic AI in Security: The Future of Pentesting” - Terra Security Blog
“Balancing Automation with Human Oversight in Security Testing” - SANS Institute
“From Manual to Autonomous: Scaling Security Testing” - InfoSec Magazine

OWASP Testing Guide - https://owasp.org/www-project-web-security-testing-guide
PTES Penetration Testing Execution Standard - https://www.pentest-standard.org
NIST Cybersecurity Framework - https://www.nist.gov/cyberframework
CVSS Scoring - https://www.first.org/cvss

Last Updated: March 30, 2026 Platform: Terra Security Portal v2.0+ Focus: Agentic AI penetration testing with human governance Skill Level: Advanced

Terra Security Commands

Overview

Key Features

Platform Architecture

Terra Portal Setup

Installation

Desktop Application

Web-Based Console

Initial Configuration

Authentication Methods

Agent Types

Ambient AI Agents

Configuration Example

Copilot AI Agents

Copilot Interaction Workflow

Workflow Configuration

Scope Definition

Depth & Intensity Controls

Impact Controls

Workflow Templates

Reconnaissance Features

Automated Asset Discovery

Attack Surface Mapping

Asset Inventory Management

Vulnerability Assessment

AI-Driven Scanning

Vulnerability Prioritization

Vulnerability Categorization

Exploitation Workflows

Human-Governed Exploitation

Exploitation Workflow

Safety Controls During Exploitation

Exploitation Capabilities

Reporting

Automated Vulnerability Reports

Report Components

Report Customization

Finding Lifecycle Management

Integration

CI/CD Pipeline Integration

Ticketing System Integration

SIEM & Monitoring Integration

Safety Controls

Scope Enforcement

Depth Limiting

Impact Controls

Human-in-the-Loop Governance

Audit & Compliance Logging

API & CLI Usage

Authentication

CLI Commands (Common Patterns)

API Endpoints (RESTful)

Best Practices for Agentic Pentesting

Planning & Preparation

Execution

Post-Testing

Security Considerations

Resources

Official Documentation & Community

Learning & Certifications

Blog & Articles

Related Technologies