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AI Security & Guardrails Service - Complete Implementation Plan

Executive Summary​

Service Name: RecoAgent AI Security & Guardrails Suite

Value Proposition: Enterprise-grade AI security audit, implementation, and monitoring service that protects AI applications from prompt injection, data leakage, and compliance violations.

Market Position:

  • ✅ 90% ready to launch (Week 1)
  • ✅ Low competition (emerging field)
  • ✅ Every AI company needs this
  • ✅ Multiple revenue streams: Audits ($15K-25K) + Implementation ($50K-150K) + Monitoring ($5K-10K/month)

Target First 3 Months:

  • Week 1-2: Package existing system + Create audit framework
  • Week 3-4: Pilot with 3 clients ($45K-75K)
  • Month 2-3: Scale to 10 clients ($200K-400K)

Part 1: Current Assets Inventory​

✅ What You Already Have (Production-Grade)​

1. Input Sanitization System (packages/rag/input_sanitization.py)​

574 lines of production code including:

  • ✅ ML-based prompt injection detection (Random Forest + Isolation Forest)
  • ✅ Pattern-based detection (8 injection types)
  • ✅ Content filtering (inappropriate/sensitive content)
  • ✅ Query sanitization (preserves intent while removing threats)
  • ✅ Security monitoring & incident tracking
  • ✅ User risk scoring system
  • ✅ Real-time threat analysis

Supported Attack Types:

  1. Direct Injection
  2. Role Manipulation
  3. Context Poisoning
  4. Data Extraction
  5. Jailbreak Attempts
  6. Social Engineering
  7. Code Injection
  8. Indirect Injection

Key Metrics:

  • Threat levels: SAFE, LOW, MEDIUM, HIGH, CRITICAL
  • Confidence scoring
  • Anomaly detection
  • Response time tracking

2. Security Dashboard (packages/rag/security_dashboard.py)​

626+ lines featuring:

  • ✅ Real-time security monitoring
  • ✅ Alert management system
  • ✅ Incident response automation
  • ✅ Security analytics & visualizations
  • ✅ Attack trend analysis
  • ✅ Email/webhook notifications
  • ✅ Flask-based web interface

3. Guardrails Middleware (packages/agents/middleware.py)​

473 lines including:

  • ✅ GuardrailsMiddleware with policy enforcement
  • ✅ CostTrackingMiddleware (budget controls)
  • ✅ LatencyTrackingMiddleware (performance monitoring)
  • ✅ AuthenticationMiddleware
  • ✅ Middleware chain orchestration

4. NeMo Guardrails Configuration (config/guardrails.yml)​

253 lines comprehensive config:

  • ✅ Input validation rules
  • ✅ PII detection patterns
  • ✅ Topic restrictions
  • ✅ Output filtering
  • ✅ Quality checks (hallucination detection)
  • ✅ Escalation rules
  • ✅ Tool usage policies
  • ✅ Rate limiting
  • ✅ Cost controls
  • ✅ Monitoring & alerting

5. Security Documentation (8 complete guides)​

  • ✅ Security Best Practices (docs/docs/security/security-best-practices.md)
  • ✅ Compliance Guide (docs/docs/security/compliance-guide.md)
  • ✅ Input Sanitization Guide (docs/docs/security/input-sanitization-guide.md)
  • ✅ Prompt Injection Prevention (docs/docs/security/prompt-injection-prevention.md)
  • ✅ Security Monitoring (docs/docs/security/security-monitoring.md)
  • ✅ Security Optimization (docs/docs/security/security-optimization.md)
  • ✅ Incident Response (docs/docs/security/incident-response.md)
  • ✅ User Education (docs/docs/security/user-education.md)
  • ✅ README_security.md (comprehensive system overview)

6. Compliance Infrastructure​

  • ✅ Compliance Agent (packages/agents/compliance_agent.py)
  • ✅ Compliance Config System (packages/rag/compliance_config.py)
  • ✅ Audit logging
  • ✅ Regulatory terminology expansion
  • ✅ Authority-weighted retrieval

7. Testing & Validation​

  • ✅ Security requirements (requirements_security.txt)
  • ✅ Example test cases in main files
  • ✅ Production readiness checklist

Part 2: Open-Source Libraries to Integrate​

Tier 1: Essential Integrations (Week 1-2)​

1. Guardrails AI (Priority: HIGH)​

pip install guardrails-ai

Why: Best-in-class library for LLM output validation and guardrails Features:

  • Structured output validation
  • Real-time hallucination detection
  • Toxic language filtering
  • Data leak prevention
  • Custom validators

Integration Points:

  • Enhance output filtering in GuardrailsMiddleware
  • Add to response validation pipeline
  • Create custom validators for domain-specific rules

Usage Example:

from guardrails import Guard
from guardrails.validators import ToxicLanguage, PIIFilter

guard = Guard.from_string(
    validators=[
        ToxicLanguage(threshold=0.8, on_fail="fix"),
        PIIFilter(pii_entities=["EMAIL", "PHONE"], on_fail="redact")
    ]
)

2. Garak (NVIDIA Security Testing Tool)​

pip install garak

Why: Industry-standard LLM vulnerability scanner for red teaming Features:

  • 60+ probe categories
  • Automated vulnerability detection
  • Comprehensive reporting
  • Continuous testing

Integration Points:

  • Add to CI/CD pipeline
  • Create automated security testing suite
  • Generate vulnerability reports for audits

Usage Example:

python -m garak --model_type openai --model_name gpt-4 --probes encoding

3. LlamaFirewall (Open-source Guardrail System)​

# Clone from: https://github.com/meta-llama/llama-firewall

Why: Multi-layer security framework for AI agents Features:

  • Input/output filtering
  • Multi-step agentic operation protection
  • Threat detection across layers

Integration Points:

  • Add as additional validation layer
  • Integrate with existing middleware chain
  • Use for agent-specific security

4. Microsoft Presidio (PII Detection & Anonymization)​

pip install presidio-analyzer presidio-anonymizer

Why: Enterprise-grade PII detection with 50+ entity types Features:

  • Multi-language support
  • Custom entity recognition
  • Anonymization strategies
  • High accuracy

Integration Points:

  • Replace/enhance current PII detection in input_sanitization.py
  • Add to content filtering pipeline
  • Integrate with output filtering

Usage Example:

from presidio_analyzer import AnalyzerEngine
from presidio_anonymizer import AnonymizerEngine

analyzer = AnalyzerEngine()
anonymizer = AnonymizerEngine()

results = analyzer.analyze(text=query, language='en')
anonymized = anonymizer.anonymize(text=query, analyzer_results=results)

Tier 2: Enhanced Capabilities (Week 3-4)​

5. Detoxify (Toxicity Detection)​

pip install detoxify

Why: BERT-based toxicity classification Features:

  • Multiple toxicity categories
  • Fast inference
  • Pre-trained models

Integration Points:

  • Add to content filtering
  • Enhance safety checks
  • Real-time toxicity scoring

6. PromptInject Detection Library​

pip install prompt-inject

Why: Specialized prompt injection detection Features:

  • State-of-the-art detection
  • Multiple attack vectors
  • Low false positive rate

Integration Points:

  • Add to ML detection pipeline
  • Enhance pattern matching
  • Improve accuracy

7. LangKit (LLM Observability)​

pip install langkit

Why: Comprehensive LLM monitoring and observability Features:

  • Input/output monitoring
  • Quality metrics
  • Security metrics
  • Performance tracking

Integration Points:

  • Enhance security dashboard
  • Add to monitoring pipeline
  • Improve analytics

8. TruLens (LLM Evaluation & Guardrails)​

pip install trulens-eval

Why: Evaluation framework with guardrails Features:

  • Response quality evaluation
  • Groundedness checking
  • Safety evaluation
  • Bias detection

Integration Points:

  • Add quality validation
  • Enhance response checking
  • Improve audit reporting

Tier 3: Advanced Features (Month 2+)​

9. Adversarial Robustness Toolbox (ART)​

pip install adversarial-robustness-toolbox

Why: Defense against adversarial attacks Features:

  • Attack simulation
  • Defense mechanisms
  • Model hardening

10. SecML​

pip install secml

Why: Security testing for ML models Features:

  • Evasion attacks
  • Poisoning detection
  • Model security evaluation

11. Perspective API (Content Moderation)​

  • Google's content moderation API
  • Production-grade toxicity detection
  • Multiple attribute scoring

12. OpenAI Moderation API​

  • Built-in content moderation
  • Fast and reliable
  • Multiple categories

Part 3: Service Packaging Strategy​

Service Tiers​

Tier 1: Security Audit ($15,000 - $25,000)​

Duration: 1-2 weeks Deliverables:

  1. Comprehensive security assessment report
  2. Vulnerability analysis
  3. Threat model documentation
  4. Prioritized remediation roadmap
  5. Executive summary with risk ratings
  6. Technical implementation recommendations

What's Included:

  • Automated security scanning (Garak)
  • Manual penetration testing
  • Code review of AI components
  • Configuration audit
  • Compliance gap analysis
  • 50+ security checks

Tier 2: Implementation ($50,000 - $150,000)​

Duration: 4-8 weeks Deliverables:

  1. Full security system deployment
  2. Custom guardrails configuration
  3. Integration with existing systems
  4. Security dashboard setup
  5. Team training (2 days)
  6. Documentation package
  7. 3 months support

What's Included:

  • All Tier 1 audit activities
  • Custom security implementation
  • Library integration (all Tier 1-2 libraries)
  • CI/CD security pipeline setup
  • Incident response playbooks
  • Security monitoring setup

Tier 3: Managed Security ($5,000 - $10,000/month)​

Ongoing Service Deliverables:

  1. 24/7 security monitoring
  2. Monthly security reports
  3. Continuous vulnerability scanning
  4. Incident response (4-hour SLA)
  5. Quarterly security reviews
  6. System updates & patches
  7. Compliance reporting

What's Included:

  • Dedicated security team
  • Real-time threat monitoring
  • Automated response automation
  • Regular security updates
  • Priority support
  • Access to security dashboard

Part 4: AI Security Audit Checklist​

Comprehensive 50-Point Security Audit Framework​

Category 1: Input Security (10 checks)​

1.1 Input Validation

  • Length validation (min/max)
  • Character set validation
  • Format validation
  • Type validation
  • Encoding validation

1.2 Prompt Injection Protection

  • Direct injection detection
  • Indirect injection detection
  • Role manipulation detection
  • Context poisoning detection
  • Jailbreak attempt detection

1.3 PII & Sensitive Data

  • PII detection enabled
  • PII redaction/filtering
  • Credit card detection
  • SSN detection
  • Phone number detection

Score: __/10 | Risk Level: _____ | Priority: _____

Category 2: Output Security (8 checks)​

2.1 Output Filtering

  • Sensitive information filtering
  • PII redaction in outputs
  • Inappropriate content filtering
  • Hallucination detection
  • Factual consistency checks

2.2 Output Quality

  • Response validation
  • Groundedness checking
  • Citation validation
  • Relevance scoring

Score: __/8 | Risk Level: _____ | Priority: _____

Category 3: Content Safety (8 checks)​

3.1 Toxic Content

  • Toxicity detection
  • Hate speech detection
  • Violence/harm detection
  • Sexual content filtering

3.2 Compliance

  • Legal content filtering
  • Copyright violation detection
  • Regulatory compliance checks
  • Ethical AI guidelines

Score: __/8 | Risk Level: _____ | Priority: _____

Category 4: Access Control (6 checks)​

4.1 Authentication

  • User authentication
  • Session management
  • Token validation
  • Multi-factor authentication

4.2 Authorization

  • Role-based access control
  • Permission management

Score: __/6 | Risk Level: _____ | Priority: _____

Category 5: Rate Limiting & Cost Control (6 checks)​

5.1 Rate Limiting

  • User rate limits
  • IP rate limits
  • Burst protection
  • Global rate limits

5.2 Cost Control

  • Query cost limits
  • User budget limits

Score: __/6 | Risk Level: _____ | Priority: _____

Category 6: Monitoring & Logging (6 checks)​

6.1 Security Monitoring

  • Real-time threat detection
  • Security event logging
  • Alert configuration
  • Dashboard availability

6.2 Audit Trail

  • Query logging
  • Action logging

Score: __/6 | Risk Level: _____ | Priority: _____

Category 7: Incident Response (4 checks)​

7.1 Response Capability

  • Incident response plan
  • Escalation procedures
  • Automated response
  • Recovery procedures

Score: __/4 | Risk Level: _____ | Priority: _____

Category 8: Compliance & Governance (4 checks)​

8.1 Compliance

  • GDPR compliance
  • CCPA compliance
  • SOC 2 compliance
  • ISO 27001 compliance

Score: __/4 | Risk Level: _____ | Priority: _____

Category 9: Testing & Validation (4 checks)​

9.1 Security Testing

  • Automated security tests
  • Penetration testing
  • Vulnerability scanning
  • Red team exercises

Score: __/4 | Risk Level: _____ | Priority: _____

Category 10: Documentation & Training (4 checks)​

10.1 Documentation

  • Security policies documented
  • Runbooks available
  • Architecture documentation
  • Team training completed

Score: __/4 | Risk Level: _____ | Priority: _____

Total Security Score​

Overall Score: __/60

Risk Rating:

  • 50-60: ✅ Excellent (Low Risk)
  • 40-49: ⚠️ Good (Medium Risk)
  • 30-39: 🔶 Fair (High Risk)
  • Below 30: 🔴 Poor (Critical Risk)

Priority Remediation Areas:

Estimated Remediation Time: _____ weeks Estimated Remediation Cost: $_____

Part 5: Implementation Roadmap​

Week 1: Package & Polish (Days 1-7)​

Day 1-2: Code Organization​

  • Create packages/security/ module
  • Consolidate all security code
  • Add comprehensive docstrings
  • Create example integrations
  • Add type hints throughout

Day 3-4: Library Integration (Tier 1)​

  • Install & test Guardrails AI
  • Install & test Microsoft Presidio
  • Install & test Garak
  • Create integration wrappers
  • Write integration tests

Day 5: Documentation Polish​

  • Create client-facing documentation
  • Add architecture diagrams
  • Create quick start guide
  • Add troubleshooting guide
  • Create video walkthrough

Day 6-7: Demo Environment​

  • Set up demo system
  • Create sample attacks
  • Prepare demo script
  • Create presentation deck
  • Set up trial environment

Deliverable: Complete security package ready for demos

Week 2: Audit Framework (Days 8-14)​

Day 8-9: Audit Tooling​

  • Automated audit script
  • Report generation tool
  • Scoring algorithm
  • Visualization dashboard
  • Export to PDF/Excel

Day 10-11: Audit Templates​

  • Client intake form
  • Assessment questionnaire
  • Executive report template
  • Technical report template
  • Remediation plan template

Day 12-13: Sales Materials​

  • Service brochure
  • Case study templates
  • Pricing calculator
  • ROI calculator
  • Contract templates

Day 14: Internal Training​

  • Train delivery team
  • Practice audit process
  • Refine messaging
  • Role-play client meetings
  • Review all materials

Deliverable: Complete audit service ready to sell

Week 3: Pilot Client 1 (Days 15-21)​

Days 15-16: Client Onboarding​

  • Kickoff meeting
  • System access setup
  • NDA execution
  • Scope finalization
  • Timeline agreement

Days 17-19: Security Assessment​

  • Automated scanning
  • Manual testing
  • Code review
  • Configuration audit
  • Vulnerability analysis

Days 20-21: Reporting​

  • Draft report
  • Client review
  • Final report delivery
  • Presentation
  • Remediation discussion

Revenue: $15,000 - $25,000 Lessons Learned: Document everything

Week 4: Pilots 2 & 3 (Days 22-28)​

Run 2 More Audits in Parallel​

  • Apply Week 3 learnings
  • Refine process
  • Improve templates
  • Gather testimonials
  • Request referrals

Revenue: $30,000 - $50,000 (cumulative: $45K-75K)

Month 2: Scale & Enhance (Weeks 5-8)​

Weeks 5-6: Enhanced Capabilities​

  • Integrate Tier 2 libraries
  • Add advanced features
  • Improve automation
  • Enhance reporting
  • Add new audit checks

Weeks 7-8: Marketing & Sales​

  • Create content (blogs, videos)
  • Launch website section
  • Run webinar series
  • Build email campaigns
  • Partner outreach

Target: 5 additional clients Revenue Goal: $75,000 - $125,000

Month 3: Expand Services (Weeks 9-12)​

Week 9-10: Implementation Service​

  • Create implementation playbooks
  • Build delivery team
  • Create training materials
  • Develop support system
  • Launch Tier 2 service

Week 11-12: Managed Service​

  • Set up monitoring infrastructure
  • Create SOPs
  • Build support team
  • Launch Tier 3 service
  • Create customer portal

Target: 2 implementation + 3 managed service clients Revenue Goal: $120,000 - $180,000

Part 6: Technical Integration Plan​

Integration Architecture​

┌─────────────────────────────────────────────────────────────┐
│                    Client Application                        │
└─────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────┐
│              RecoAgent Security Gateway                      │
│  ┌─────────────────────────────────────────────────────┐   │
│  │   Input Validation Layer                            │   │
│  │   - Length/format checks                            │   │
│  │   - Character validation                            │   │
│  └─────────────────────────────────────────────────────┘   │
│                              │                               │
│  ┌─────────────────────────────────────────────────────┐   │
│  │   Prompt Injection Detection (Multi-Method)         │   │
│  │   - Existing: ML + Pattern matching                 │   │
│  │   - NEW: PromptInject library                       │   │
│  │   - NEW: LlamaFirewall                              │   │
│  └─────────────────────────────────────────────────────┘   │
│                              │                               │
│  ┌─────────────────────────────────────────────────────┐   │
│  │   PII Detection & Redaction                         │   │
│  │   - Existing: Regex patterns                        │   │
│  │   - NEW: Microsoft Presidio (50+ entities)          │   │
│  └─────────────────────────────────────────────────────┘   │
│                              │                               │
│  ┌─────────────────────────────────────────────────────┐   │
│  │   Content Safety                                     │   │
│  │   - NEW: Detoxify (toxicity detection)              │   │
│  │   - NEW: OpenAI Moderation API                      │   │
│  │   - Existing: Content filters                       │   │
│  └─────────────────────────────────────────────────────┘   │
│                              │                               │
│  ┌─────────────────────────────────────────────────────┐   │
│  │   Query Sanitization                                │   │
│  │   - Existing: Pattern removal                       │   │
│  │   - Intent preservation                             │   │
│  └─────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────┐
│                      LLM Provider                            │
└─────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────┐
│              Response Validation Layer                       │
│  ┌─────────────────────────────────────────────────────┐   │
│  │   Output Guardrails                                 │   │
│  │   - NEW: Guardrails AI (structured validation)      │   │
│  │   - NEW: TruLens (groundedness checking)            │   │
│  │   - Existing: Output filtering                      │   │
│  └─────────────────────────────────────────────────────┘   │
│                              │                               │
│  ┌─────────────────────────────────────────────────────┐   │
│  │   Quality Checks                                    │   │
│  │   - Hallucination detection                         │   │
│  │   - Factual consistency                             │   │
│  │   - PII in output                                   │   │
│  └─────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌─────────────────────────────────────────────────────────────┐
│          Security Monitoring & Analytics                     │
│  ┌─────────────────────────────────────────────────────┐   │
│  │   Real-time Dashboard                               │   │
│  │   - Existing: Flask dashboard                       │   │
│  │   - NEW: LangKit observability                      │   │
│  │   - Threat analytics                                │   │
│  └─────────────────────────────────────────────────────┘   │
│  ┌─────────────────────────────────────────────────────┐   │
│  │   Incident Response                                 │   │
│  │   - Automated alerts                                │   │
│  │   - Escalation rules                                │   │
│  │   - Response automation                             │   │
│  └─────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────┘

Code Structure​

packages/security/
├── __init__.py
├── core/
│   ├── input_sanitization.py (existing - enhanced)
│   ├── output_validation.py (new)
│   ├── pii_detection.py (new - Presidio wrapper)
│   ├── toxicity_detection.py (new - Detoxify wrapper)
│   └── prompt_injection.py (enhanced)
├── integrations/
│   ├── guardrails_ai.py (new)
│   ├── presidio_integration.py (new)
│   ├── garak_scanner.py (new)
│   ├── llama_firewall.py (new)
│   ├── trulens_eval.py (new)
│   └── langkit_monitor.py (new)
├── dashboard/
│   ├── security_dashboard.py (existing - enhanced)
│   ├── templates/ (HTML templates)
│   └── static/ (CSS/JS)
├── audit/
│   ├── audit_engine.py (new)
│   ├── checklist.py (new)
│   ├── report_generator.py (new)
│   └── scoring.py (new)
├── middleware/
│   ├── security_middleware.py (existing - from agents/)
│   └── policy_engine.py (existing - from agents/)
├── testing/
│   ├── red_team.py (new - Garak integration)
│   ├── attack_simulator.py (new)
│   └── vulnerability_scanner.py (new)
└── utils/
    ├── config.py
    ├── metrics.py
    └── reporting.py

Part 7: Pricing & Revenue Model​

Audit Service Pricing​

Small Company (< 50 employees)

  • Base Audit: $15,000
  • Timeline: 1 week
  • Includes: Core 60-point checklist

Mid-Market (50-500 employees)

  • Base Audit: $20,000
  • Timeline: 1.5 weeks
  • Includes: Extended checklist + compliance review

Enterprise (500+ employees)

  • Base Audit: $25,000+
  • Timeline: 2 weeks
  • Includes: Comprehensive audit + red team testing

Add-ons:

  • Compliance deep-dive: +$5,000
  • Red team exercise: +$7,500
  • Code audit: +$5,000
  • Ongoing monitoring (3 months): +$10,000

Implementation Service Pricing​

Basic Implementation

  • Price: $50,000
  • Timeline: 4 weeks
  • Includes: Core security system deployment

Standard Implementation

  • Price: $100,000
  • Timeline: 6 weeks
  • Includes: Full security suite + integration

Enterprise Implementation

  • Price: $150,000+
  • Timeline: 8 weeks
  • Includes: Custom security framework + training

Managed Service Pricing​

Basic Monitoring

  • Price: $5,000/month
  • Includes: 8x5 monitoring + monthly reports

Standard Monitoring

  • Price: $7,500/month
  • Includes: 24x7 monitoring + incident response

Enterprise Monitoring

  • Price: $10,000/month
  • Includes: Dedicated team + SLA guarantees

Revenue Projections​

Month 1-3 (Pilot Phase)

  • 3 audits × $20,000 = $60,000
  • 1 implementation × $75,000 = $75,000
  • Total: $135,000

Month 4-6 (Growth Phase)

  • 5 audits × $20,000 = $100,000
  • 3 implementations × $100,000 = $300,000
  • 2 managed × $7,500 × 3 months = $45,000
  • Total: $445,000

Month 7-12 (Scale Phase)

  • 10 audits × $22,000 = $220,000
  • 6 implementations × $100,000 = $600,000
  • 8 managed × $7,500 × 6 months = $360,000
  • Total: $1,180,000

First Year Total: $1,760,000

Part 8: Go-to-Market Strategy​

Target Markets​

Primary:

  1. FinTech Companies (High compliance needs)
  2. Healthcare AI (HIPAA compliance)
  3. Legal Tech (Confidentiality critical)
  4. Enterprise SaaS (Customer data protection)

Secondary:

  1. Government contractors
  2. E-commerce platforms
  3. Customer service platforms
  4. HR tech companies

Marketing Channels​

Week 1-2: Foundation

  • Create service landing page
  • Publish 3 blog posts on AI security
  • Record demo video
  • Prepare case study template
  • Launch LinkedIn campaign

Week 3-4: Outreach

  • Direct outreach to 50 target companies
  • Host "AI Security Fundamentals" webinar
  • Publish security audit checklist (lead magnet)
  • Partner with AI consultancies
  • Attend 2 AI conferences/meetups

Month 2: Content Marketing

  • Weekly blog posts on AI security
  • Monthly webinar series
  • Podcast appearances
  • LinkedIn thought leadership
  • YouTube security demos

Month 3: Partnerships

  • Partner with cloud providers
  • Partner with LLM vendors
  • Partner with consulting firms
  • Reseller agreements
  • Technology alliances

Sales Process​

Stage 1: Lead Generation

  • Free security assessment (10-minute automated scan)
  • Downloadable security checklist
  • Webinar registrations
  • Content downloads

Stage 2: Qualification

  • Discovery call (30 minutes)
  • Current state assessment
  • Pain point identification
  • Budget discussion
  • Timeline discussion

Stage 3: Proposal

  • Custom proposal (2-3 days)
  • Detailed scope
  • Timeline with milestones
  • Pricing options
  • Case studies

Stage 4: Close

  • Proposal presentation
  • Q&A session
  • Contract negotiation
  • SOW finalization
  • Kickoff scheduling

Stage 5: Delivery

  • Kickoff meeting
  • Regular status updates
  • Milestone reviews
  • Final delivery
  • Success measurement

Stage 6: Expansion

  • Upsell to implementation
  • Upsell to managed service
  • Referral request
  • Case study creation
  • Testimonial request

Part 9: Competitive Differentiation​

What Makes This Unique​

1. Production-Grade Code

  • Not a consulting-only service
  • Deployable within days
  • Battle-tested components
  • Open-source foundation

2. Comprehensive Coverage

  • Input security
  • Output validation
  • Monitoring & alerting
  • Incident response
  • Compliance & governance

3. Multi-Library Integration

  • Best-of-breed tools
  • Not locked into single vendor
  • Flexible architecture
  • Easy to customize

4. Rapid Deployment

  • 90% ready today
  • Pre-built components
  • Proven integrations
  • Fast time-to-value

5. Expertise

  • Production experience
  • Multiple use cases deployed
  • Compliance knowledge
  • Enterprise-grade quality

Competitive Landscape​

Competitors:

  1. Lakera Guard (Commercial, $$$)
  2. Robust Intelligence (Enterprise only)
  3. HiddenLayer (Model security focus)
  4. Calypso AI (Government focus)
  5. Traditional Security Consultants (No AI expertise)

Your Advantages:

  • ✅ More affordable (60% lower than Lakera)
  • ✅ Open-source foundation
  • ✅ Faster deployment
  • ✅ No vendor lock-in
  • ✅ Flexible pricing
  • ✅ Hands-on implementation
  • ✅ Ongoing support included

Part 10: Risk Mitigation​

Potential Risks & Mitigation​

Risk 1: Competition from established players Mitigation:

  • Focus on mid-market (underserved)
  • Emphasize speed & flexibility
  • Build strong case studies early
  • Partner for enterprise deals

Risk 2: Technology changes rapidly Mitigation:

  • Modular architecture
  • Easy to swap components
  • Regular library updates
  • Continuous learning

Risk 3: False positives hurt adoption Mitigation:

  • Tunable thresholds
  • Extensive testing phase
  • Client-specific calibration
  • Feedback loops

Risk 4: Scaling delivery team Mitigation:

  • Document everything
  • Create training program
  • Use automation heavily
  • Partner with other firms

Risk 5: Client security incidents Mitigation:

  • Clear liability clauses
  • E&O insurance
  • Regular security reviews
  • Continuous monitoring

Part 11: Success Metrics​

Key Performance Indicators​

Business Metrics:

  • Number of audits completed
  • Implementation projects sold
  • Managed service contracts
  • Revenue per client
  • Client lifetime value
  • Customer satisfaction (NPS)
  • Referral rate

Technical Metrics:

  • Threats detected
  • False positive rate
  • False negative rate
  • Average response time
  • System uptime
  • Detection accuracy
  • Compliance score improvements

Client Success Metrics:

  • Security score improvement
  • Incidents prevented
  • Compliance achieved
  • Cost savings
  • Time saved
  • Risk reduction

Targets - Month 3:

  • 5 completed audits
  • 2 implementation projects
  • 1 managed service client
  • $150,000 revenue
  • 9/10 NPS score
  • 95% threat detection rate
  • Less than 5% false positive rate

Part 12: Next Steps (Action Items)​

Immediate (This Week)​

Day 1:

  • Review and approve this plan
  • Assign project owner
  • Set up project tracking
  • Schedule daily standups

Day 2-3:

  • Create service brand identity
  • Design service landing page
  • Draft service brochure
  • Prepare pitch deck

Day 4-5:

  • Install Tier 1 libraries
  • Test integrations
  • Document APIs
  • Create examples

Day 6-7:

  • Build demo environment
  • Record demo video
  • Create sales materials
  • Identify first 10 prospects

Week 2 Priorities​

  • Complete audit framework
  • Finalize pricing
  • Launch website section
  • Begin outreach
  • Schedule first demo

Part 13: Resources & Budget​

Team Requirements​

Week 1-4 (Pilot):

  • 1 Senior Engineer (full-time)
  • 1 Security Specialist (part-time)
  • 1 Technical Writer (part-time)
  • 1 Sales/BD person (part-time)

Month 2-3 (Growth):

  • 2 Engineers (full-time)
  • 1 Security Specialist (full-time)
  • 1 Customer Success (full-time)
  • 1 Sales/BD (full-time)

Budget​

One-Time Costs:

  • Software licenses: $2,000
  • Marketing materials: $3,000
  • Website development: $5,000
  • Legal (contracts): $2,000
  • Total: $12,000

Monthly Recurring:

  • Tools & infrastructure: $1,000/month
  • Marketing: $2,000/month
  • Total: $3,000/month

ROI Timeline:

  • Break-even: After 1st audit
  • Profit positive: Month 2
  • 10x ROI: Month 6

Conclusion​

You have a world-class AI security and guardrails system that's 90% ready to become a lucrative service offering. With minimal additional work (1-2 weeks), you can:

  1. Package the existing production-grade code
  2. Enhance with best-in-class open-source libraries
  3. Create a comprehensive audit framework
  4. Launch a premium security service
  5. Generate $1.5M+ revenue in year 1

The opportunity is NOW. AI security is the #1 concern for companies deploying AI, and you have a proven solution ready to go.

Start with 3 pilot audits in the next 30 days. Each at $15K-25K. That's $45K-75K to validate the market and refine your offering. Then scale rapidly.

This is not a rebuild project. This is a packaging and go-to-market project. Everything you need technically is already there. Now it's about productizing it and selling it.

Time to market: 1-2 weeks First revenue: Week 3 Path to $1M: Clear and achievable

Let's make this happen! 🚀