Who this is for
Organizations designing or deploying AI systems that must integrate securely with enterprise platforms, cloud environments, and critical business systems.

What this enables
AI architectures that minimize attack surface, enforce trust boundaries, and align with Zero Trust and secure-by-design principles.

How FORTEIA supports
FORTEIA designs secure AI architectures covering data ingestion, model hosting, inference, integrations, and monitoring — aligned with enterprise security and cloud architecture standards.

What you receive
Secure AI architecture designs, threat considerations, and implementation guidance aligned with organizational risk posture.

Typical engagement scenarios
Enterprise AI platforms, cloud-based AI deployments, or integration of AI into existing business-critical systems.

Who this is for
Organizations concerned about emerging AI-specific threats, including data leakage, model manipulation, and abuse of AI interfaces.

What this enables
Proactive identification and mitigation of AI-related risks before systems are exposed to real-world threats.

How FORTEIA supports
FORTEIA conducts AI-focused threat modeling covering data pipelines, models, APIs, agents, and user interactions. We define mitigations aligned with security best practices and regulatory expectations.

What you receive
AI threat models, risk scenarios, and prioritized mitigation recommendations.

Typical engagement scenarios
Pre-production reviews, security architecture validation, or leadership concerns around AI attack surfaces.

Who this is for
Organizations handling sensitive data or proprietary models within AI solutions.

What this enables
Protection of training data, prompts, outputs, and models from unauthorized access or misuse.

How FORTEIA supports
FORTEIA designs controls for data isolation, encryption, access management, and model protection aligned with enterprise information security policies.

What you receive
Data and model protection guidance, control recommendations, and secure configuration practices.

Typical engagement scenarios
Regulated data processing, proprietary AI development, or concerns about data leakage through AI systems.

Who this is for
Engineering teams building AI solutions that must meet enterprise security, compliance, and quality standards.

What this enables
Secure, repeatable AI development lifecycles with built-in security and governance checks.

How FORTEIA supports
FORTEIA integrates security and governance controls into AI development pipelines, including code reviews, model validation, deployment controls, and monitoring.

What you receive
Secure AI development practices, pipeline guidance, and governance-aligned engineering workflows.

Typical engagement scenarios
Enterprise AI platform build-out, internal AI product development, or modernization of AI engineering practices.

Who this is for
Organizations operating AI systems in production that require visibility, resilience, and incident preparedness.

What this enables
Ongoing oversight of AI behavior, performance, and security posture throughout the system lifecycle.

How FORTEIA supports
FORTEIA designs monitoring and incident readiness approaches for AI systems, including logging, alerting, response playbooks, and governance escalation paths.

What you receive
Monitoring frameworks, resilience guidance, and AI incident readiness documentation.

Typical engagement scenarios
Production AI deployments, regulatory expectations, or preparation for AI-related incidents.