The Main hero image of Cognitive View AI Compliance Is Not Just A Rulebook, It’s Your Reputation.

AI Compliance Is Not Just A Rulebook, It’s Your Reputation.

AI moves fast. Regulations move faster. But trust? That’s built to last.

Your AI is making decisions that shape lives, industries, and the future—but without  transparency, accountability, and compliance, it’s just another black box waiting for scrutiny.

Download the AI Compliance Checklist and take the first step toward AI you can stand  behind.

Why It Matters

Non-compliance can result in millions in fines, reputational damage, and lost funding  opportunities.

Many businesses are unaware of Shadow AI—hidden AI systems running without oversight.

AI Regulation is Coming.
Are You Ready?

 Solution

Turn AI Compliance from a Burden into a Business Advantage.

We help forward-thinking startups ensure:

 AI Risk & Bias Assessments

Detect and fix AI bias before regulators do.

Regulatory Compliance Alignment

Stay ahead of the EU AI Act, GDPR, and industry  standards.

AI Transparency & Accountability

Implement best-in-class governance frameworks.

AI Transparency & Accountability

Implement best-in-class governance frameworks.

Awards & Recognitions

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Customers Who Trusted Us

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Lakseth Ratnayake
Assistant Manager

Cognitive View allowed us to improve quality and compliance in our AI deployed, ultimately driving Trust for our customers.

Get Your Free AI Discovery & Compliance Checklist

See how compliant your AI systems are in just minutes.

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Frequently asked questions

What are the biggest risks companies face when adopting AI?

The top risks include AI bias, data privacy violations, regulatory non-compliance, and  lack of explainability in AI-driven decisions.

Why is AI governance important for businesses?

AI governance ensures ethical AI use, risk mitigation, regulatory compliance, and transparency, reducing the likelihood of legal fines, reputational damage, and biased decision-making.

How do I know if my AI system is compliant?

You need to assess your AI models for bias, transparency, security, and regulatory alignment with standards like the EU AI Act, GDPR, and ISO 42001—our AI Compliance Checklist helps you get started.

How can I detect bias in my AI models?

AI bias often occurs due to unbalanced datasets, lack of diverse training data, or flawed algorithms. Our checklist provides guidance on bias detection and mitigation strategies to ensure fairness.

What are the penalties for non-compliance with AI regulations?

Fines can reach millions of dollars under regulations like GDPR and the EU AI Act. Additionally, non-compliance can lead to loss of funding, legal actions, and damaged customer trust.

How do I handle AI transparency and explainability?

AI systems should provide clear, interpretable decision-making processes. If your AI is a “black box,” regulators may demand explainability frameworks—our checklist helps you implement best practices.

What is AI drift, and how do I monitor AI performance over time?

AI drift occurs when models degrade due to shifting real-world data. Continuous monitoring and retraining are essential to ensure AI models remain accurate and reliable.

How can I future-proof my AI systems against evolving regulations?

The best approach is proactive governance—this means aligning AI models with compliance frameworks today so you’re not scrambling when new laws are enforced.

What is Shadow AI, and why is it risky?

Shadow AI refers to unauthorized AI tools operating within an organization without oversight. This can lead to security risks, ethical concerns, and compliance violations.

How does AI governance impact funding and business growth?

Investors and regulators are increasingly looking for compliant and responsible AI systems. Companies that demonstrate strong AI governance attract more funding and avoid regulatory roadblocks.

Can AI governance help with cybersecurity risks?

Yes! AI governance includes security policies, robust access controls, and continuous monitoring to prevent AI model manipulation, adversarial attacks, and data breaches.

What industries need AI governance the most?

AI governance is critical for finance, healthcare, hiring, government, legal, and
enterprise SaaS—anywhere AI is making decisions that affect people’s lives.

How do I integrate AI governance into my existing compliance programs?

Start by mapping your AI risks, aligning with existing compliance frameworks, and implementing continuous monitoring. Our checklist provides a step-by-step guide to help
you.

What happens after I download the AI Compliance Checklist?

You’ll receive an AI risk assessment guide and the option to book a free AI compliance consultation to discuss your specific challenges.