[01]
CISOs & Security Leaders
Strategic guidance for securing AI initiatives across the enterprise
AUDIENCEACTIVE
THE CHALLENGE
AI Creates New Risks
AI is now embedded in products, internal tools and core platforms. That creates new risks around data, IP, regulation and trust — not just at model training time, but every time you run an inference.
RISK AREA 1
AI inside products you offer
RISK AREA 2
AI tools your teams use (copilots, SaaS, agents)
RISK AREA 3
AI platforms you design (models, APIs, data & feature platforms)
AUDIENCES
Who We Work With
[02]
CIOs / CTOs / Heads of Engineering
Technical implementation of AI security controls and architectures
AUDIENCEACTIVE
[03]
Chief Data / AI Officers & GRC Leaders
Governance frameworks and compliance for AI systems
AUDIENCEACTIVE
[04]
Product & Business Owners
Risk-aware AI integration into products and services
AUDIENCEACTIVE
ENGAGEMENT
How We Work With You
[01]
Start Here
Quick AI Security Review
Rapid assessment of your AI security posture with actionable recommendations
Features
- 2-week engagement timeline
- High-level risk assessment
- Security controls review
- Remediation roadmap
- Executive summary
SECUREACTIVEv3.0
[02]
GRC First
AI Governance & Compliance Assessment
Comprehensive evaluation of AI governance frameworks and regulatory compliance
Features
- 4-6 week engagement timeline
- Full governance framework review
- Regulatory compliance assessment
- Risk matrix development
- Policy and procedure templates
SECUREACTIVEv3.0
[03]
Technical Deep Dive
Technical AI Security Review
In-depth technical assessment of AI systems, models, and infrastructure security
Features
- 6-8 week engagement timeline
- Model security analysis
- Data pipeline assessment
- Infrastructure security review
- Threat modeling workshop
SECUREACTIVEv3.0
IMPLEMENTATION
Beyond Assessment: Implementation That Works
Governance & Compliance Implementation
Turn findings into policies your team will actually follow
- AI usage policies tailored to your organization
- Acceptable use guidelines for copilots and AI tools
- Vendor AI risk assessment frameworks
- Regulatory alignment (EU AI Act, Executive Orders)
- Board-ready reporting dashboards
Technical Control Implementation
Practical security controls that don't slow down innovation
- LLM firewall and prompt injection guards
- Data loss prevention for AI interactions
- Model access controls and audit logging
- API security for AI service integrations
- Automated AI security scanning in CI/CD
STRATEGY
Cybersecurity for the AI Era
> Building resilience in the age of AI
[01]
AI Security Strategy & Operating Model
Develop comprehensive AI security strategies aligned with business objectives
Features
- AI security strategy development
- Operating model design
- Security capability mapping
- Investment prioritization
- Success metrics and KPIs
SECUREACTIVEv3.0
[02]
Executive & Board Engagement
Equip leadership with the insights to make informed AI security decisions
Features
- Board briefings and updates
- Executive education programs
- Risk appetite definition
- Investment case development
- Stakeholder alignment
SECUREACTIVEv3.0
[03]
Exercises & Change Management
Test and improve your AI security readiness through practical exercises
Features
- AI incident response exercises
- Tabletop scenarios
- Red team assessments
- Change management programs
- Cultural transformation initiatives
SECUREACTIVEv3.0
COVERAGE
Security Across Every AI Surface
Different AI risks require different defenses. We secure every touchpoint—from model development to production, from customer products to internal tools.
Model Training Security
- Training data protection and validation
- Model poisoning prevention
- Intellectual property safeguarding
- Compute environment security
Inference Security
- Input validation and sanitization
- Output privacy and confidentiality
- API security and access control
- Monitoring and anomaly detection
Product Integration Security
- Secure model deployment
- Customer data protection
- Regulatory compliance
- Performance and availability
Internal Tool Security
- Employee access management
- Data usage governance
- Integration with enterprise security
- Productivity vs security balance
JOURNEY
Your Journey to AI Security
Phase 12 weeks
Discovery
Rapid assessment of your current AI security posture and risks
Deliverables:
- Security posture summary
- Critical risk identification
- Initial recommendations
- Roadmap proposal
Phase 24-8 weeks
Assessment
Deep-dive evaluation of governance, risk, compliance and controls
Deliverables:
- Assessment reports
- Risk register analysis
- Compliance gap review
- Technical findings
Phase 38-16 weeks
Implementation
Deploy security controls, policies and team training programs
Deliverables:
- Security controls deployed
- Policies implemented
- Staff trained
- Monitoring active
Phase 4Quarterly
Advisory
Ongoing support as your AI security needs evolve
Deliverables:
- Quarterly reviews
- Threat intelligence
- Strategy updates
- Risk assessments
GET STARTED
Secure Your AI Journey Today
> Don't let security be a barrier to AI innovation. Build with confidence.
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