Comprehensive AI Security Solutions
From initial assessment through implementation and ongoing risk management, our services address the full spectrum of AI security requirements.
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From initial assessment through implementation and ongoing risk management, our services address the full spectrum of AI security requirements.
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cyphervollta's approach to AI security combines technical rigor with practical implementation focus. We systematically evaluate vulnerabilities across the AI lifecycle—from training data acquisition through model deployment and inference serving. Our solutions scale to match organization size and AI maturity, ensuring appropriate coverage whether you're deploying your first AI system or managing a complex portfolio of models. Each engagement begins with understanding your specific context, security requirements, and operational constraints, allowing us to tailor recommendations that balance protection with functionality.
SGD 820
A specialized evaluation examining security considerations for AI implementations within your organization. We assess risks associated with training data, model vulnerabilities, inference attacks, and adversarial inputs. The evaluation covers both AI-specific threats and traditional security concerns amplified by AI adoption.
Scoping and Discovery
Initial discussions to understand your AI implementations, data flows, and specific concerns
Technical Evaluation
Systematic review of training data security, model vulnerabilities, and inference protections
Practice Assessment
Evaluation of development workflows, deployment processes, and security controls
Findings Documentation
Comprehensive report with risk assessment and prioritized recommendations
Timeline: 2-3 weeks for thorough assessment and documentation
SGD 6,900
Development and deployment of AI solutions with security built in from the foundation. We apply secure development practices throughout the AI lifecycle from data handling through model deployment. Implementation includes data anonymization where appropriate, access controls, audit logging, and monitoring for unusual patterns.
Security Requirements Definition
Establish security objectives, threat models, and control requirements
Secure Development
Implementation with security controls integrated throughout the AI pipeline
Security Testing
Adversarial testing, penetration testing, and vulnerability assessment
Deployment and Monitoring Setup
Secure deployment configuration with monitoring systems and incident response procedures
Timeline: 12-18 weeks depending on solution complexity and security requirements
SGD 8,200
A comprehensive program establishing frameworks and capabilities for managing AI-related risks across your organization. We develop risk taxonomies specific to your AI portfolio and business context. The program includes risk assessment methodologies, monitoring mechanisms, and escalation procedures.
Risk Framework Development
Create taxonomies, assessment methodologies, and risk categorization specific to your AI portfolio
Governance Structure Design
Establish oversight bodies, reporting lines, and decision-making authorities
Process Implementation
Deploy risk assessment workflows, monitoring systems, and escalation procedures
Training and Documentation
Equip teams with knowledge and resources for effective risk management execution
Timeline: 4-6 months with optional ongoing advisory support arrangements
| Feature | Assessment | Implementation | Risk Management |
|---|---|---|---|
| Security Evaluation | |||
| Risk Documentation | |||
| Remediation Recommendations | |||
| Security Implementation | |||
| Development Support | |||
| Governance Framework | |||
| Ongoing Monitoring Setup | |||
| Incident Response Protocols | |||
| Timeline | 2-3 weeks | 12-18 weeks | 4-6 months |
Choose Assessment if you need to understand your current AI security posture and identify vulnerabilities requiring attention.
Choose Implementation if you're deploying new AI systems and want security integrated from the beginning or need to strengthen existing deployments.
Choose Risk Management if you have multiple AI implementations and need systematic frameworks for managing AI security risks across your organization.
All client information receives strict confidentiality treatment. We structure NDAs appropriate to your requirements and maintain access controls throughout engagements. Security protocols align with industry standards for sensitive material handling.
Security recommendations balance protection requirements with system performance needs. We assess the operational impact of proposed controls, ensuring security measures don't unnecessarily constrain AI system functionality or create unacceptable latency.
Deliverables provide clear documentation supporting both technical implementation and executive decision-making. Technical details enable your teams to act on recommendations while summary materials communicate key points to stakeholders at appropriate detail levels.
Beyond formal engagement deliverables, we maintain availability for questions and guidance. As situations evolve or new considerations emerge, previous clients can reach out for perspective on addressing these developments within their AI security context.
Our pricing structures clearly with no hidden costs. All fees established before work begins, with scope definitions ensuring you know exactly what deliverables to expect.
One-time engagement
Complete development engagement
Organizational program
All solutions include comprehensive documentation, technical support during engagement, and follow-up consultation. Custom arrangements available for ongoing advisory relationships or multi-solution packages.
Let's discuss which solution best addresses your organization's AI security requirements.
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