AI Security

Security for AI Startups

Protect your models, your data and your funding round.

AI startups face unique security risks including prompt injection attacks, training data poisoning, model extraction, inference endpoint abuse and API authentication weaknesses. A pre-funding security audit demonstrates mature security practices to investors and protects intellectual property that represents months or years of research and development.

AI companies operate at the intersection of cutting-edge technology and immature security practices. Your models are intellectual property, your training data may contain sensitive information and your inference APIs are public attack surfaces. Investors increasingly require evidence of security diligence before writing cheques. We help AI startups identify and close these gaps before they become deal-breakers or breach headlines.

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Threat Landscape

Why AI Companies Are Uniquely Vulnerable

01 - Prompt

Prompt Injection

Prompt injection attacks manipulate LLM behaviour by embedding malicious instructions in user input. Direct injection overrides system prompts while indirect injection hides instructions in external data the model retrieves. Successful prompt injection can leak system prompts, exfiltrate training data, bypass safety controls and execute unauthorized actions through tool-calling integrations. We test for both direct and indirect injection vectors across your entire prompt processing pipeline.

02 - Data

Training Data Poisoning

Training data poisoning introduces malicious or manipulated data into model training pipelines to influence model behaviour. Poisoned models may produce biased outputs, misclassify inputs or contain hidden backdoors that activate under specific conditions. We assess your data collection, validation and storage processes to identify poisoning vectors. This includes evaluating data provenance, input validation controls and pipeline integrity from raw data through model deployment.

03 - API

Model API Security

Inference APIs are your primary attack surface. We test authentication and authorization controls, rate limiting, input validation, output sanitization and error handling. Weak API security enables model extraction through repeated queries, denial-of-service through resource-intensive inputs and unauthorized access to model capabilities. We also assess API key management, token rotation practices and access logging to ensure you can detect and respond to abuse.

04 - Extraction

Model Extraction and Inversion

Model extraction attacks reverse-engineer your proprietary model by querying it repeatedly to build a functionally equivalent copy. Model inversion attacks use model outputs to reconstruct training data, potentially exposing sensitive information used during training. These attacks directly threaten your intellectual property and the privacy of your training data. We simulate extraction and inversion attacks to measure your model's susceptibility and recommend defences.

05 - Infra

Inference Endpoint Abuse

Inference endpoints running GPU workloads are expensive to operate and attractive targets for abuse. Attackers may exploit weak authentication to run unauthorized compute tasks, cryptomining operations or resource exhaustion attacks. We assess your endpoint security, compute isolation, cost controls and monitoring to prevent unauthorized usage that can rapidly escalate cloud spending.

06 - Funding

Pre-Funding Security Audits

Investors conducting technical due diligence increasingly ask for evidence of security assessment. A pre-funding security audit from an independent firm demonstrates that your startup takes security seriously. Our audit covers your application stack, model infrastructure, data handling practices and organizational security controls. We provide a clear report that addresses investor concerns and highlights your security maturity relative to industry standards.

Due Diligence

What Investors Look For

Security Area	Investor Expectation
Independent Security Audit	Third-party penetration test report within the last 12 months
Data Protection	Encryption at rest and in transit for training data and user data
Access Controls	Role-based access, MFA and audit logging across all systems
Incident Response	Documented incident response plan with defined roles
Compliance Readiness	SOC 2 readiness or equivalent security framework alignment

Authority Resources

AI Security References

Standards and Frameworks

Related Services

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Secure your AI startup before your next funding round.

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We understand AI infrastructure. Let us assess your models, APIs and data pipelines before your next raise or product launch.

Call 604.229.1994

Phone: 604.229.1994
Burnaby Office: Burnaby, BC, Canada
Coquitlam Office: Coquitlam, BC, Canada