AI Security, Privacy, and Safety
Security assessments, threat modeling, and compliance-aligned protection for AI systems — from LLM deployment to production model infrastructure.
AI systems introduce security and privacy risks that traditional security frameworks weren't designed to address. Prompt injection attacks, data leakage through model outputs, adversarial inputs that manipulate model behavior, and non-compliant data processing are real threats that organizations deploying AI must account for.
Techonroute brings deep cybersecurity expertise to AI system security. We conduct systematic threat modeling specifically for LLM and ML systems, assess your current deployment for known vulnerability classes, and design security controls that protect your AI system without breaking its functionality. Our approach is grounded in both AI engineering and cybersecurity practice — a combination most security firms and AI consultants lack.
We also help organizations navigate the regulatory landscape for AI privacy: PIPEDA compliance, the emerging Artificial Intelligence and Data Act (AIDA), sector-specific requirements in healthcare and finance, and privacy-by-design approaches to AI system architecture.
Services and Deliverables
AI Security Assessment
Systematic evaluation of your AI system's attack surface, vulnerabilities, and security controls.
LLM Threat Modeling
Identify and prioritize threats specific to LLM deployments: prompt injection, jailbreaking, data leakage, and more.
Prompt Injection Risk Analysis
Test and document prompt injection vulnerabilities in your LLM application and design mitigations.
Data Leakage Risk Assessment
Identify pathways through which sensitive training data or user data could be exposed through model outputs.
Guardrail Implementation
Design and implement input/output safety filters, topic restrictions, and content safety controls.
Privacy-Preserving AI Design
Architecture guidance for AI systems that minimize personal data exposure and comply with Canadian privacy law.
AI Compliance & Governance
Assessment of your AI system against PIPEDA, AIDA, and sector-specific compliance requirements.
Secure AI Deployment
Secure-by-design deployment architecture for AI services: access control, audit logging, network isolation.
Is This Service Right for You?
You're deploying AI and your security team needs assurance that the systems have been assessed and hardened.
You operate in a regulated industry and need AI systems that meet specific data handling and audit requirements.
You're exposing LLM capabilities to users and need to ensure the system can't be manipulated or exploited.
How an Engagement Works
Scope Definition
Define what AI systems, data flows, and threat actors are in scope for the assessment.
Threat Modeling
Systematically identify and prioritize threats using structured frameworks adapted for AI.
Vulnerability Assessment
Test for known AI vulnerability classes — injection, leakage, adversarial inputs, and more.
Control Design
Recommend and design security controls to address identified risks.
Remediation & Documentation
Support implementation of controls and produce documentation for compliance purposes.
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Ready to Secure Your AI System?
Don't let security be an afterthought. Let's build protection into your AI from the start.