Cybersecurity Compliance for Secure AI Development

While AI presents unprecedented opportunities, it also carries significant risks.

This is why the U.S, U.K, Canada, Australia, New Zealand, Germany, France and other nations have jointly issued the Guidelines for Secure AI, prescribing the necessary cybersecurity controls over AI.

CyberCatch provides the most effective cybersecurity compliance solution for secure AI development.

Cybersecurity Compliance for Secure AI Development

While AI presents unprecedented opportunities, it also carries significant risks.

This is why the U.S, U.K, Canada, Australia, New Zealand, Germany, France and other nations have jointly issued the Guidelines for Secure AI, prescribing the necessary cybersecurity controls over AI.

CyberCatch provides the most effective cybersecurity compliance solution for secure AI development.

AI models and systems represent a high-value target of cyber attackers.

35% of businesses have adopted AI already and 77% of devices in use feature some form of AI

80% of companies state the use of AI is a top priority in their business strategy

AI is expected to contribute $15.7 trillion to the global economy by 2030

Attackers are using new techniques tailored specifically for AI:
Attackers are using new techniques tailored specifically for AI:

AI cyber risk must be mitigated with a new approach to risk management and set of cybersecurity controls.

AI cyber risk must be mitigated with a new approach to risk management and set of cybersecurity controls.

This is why the U.S. Cybersecurity and Infrastructure Security Agency (CISA) and the UK National Cyber Security Centre (NCSC), along with partner agencies from 16 nations, have published Guidelines for Secure AI System Development.
Providers of AI systems, whether based on models hosted by an organization or making use of external application programming interfaces (APIs) need to follow these guidelines to safeguard customers and their data.

PARTNER NATIONS

U.S, U.K, Canada, Australia, New Zealand, Germany, France, Italy, Norway, Poland, Czech Republic, Estonia, Singapore, Japan, South Korea, Israel, Nigeria and Chile

PARTNER NATIONS

U.S, U.K, Canada, Australia, New Zealand, Germany, France, Italy, Norway, Poland, Czech Republic, Estonia, Singapore, Japan, South Korea, Israel, Nigeria and Chile

The guidelines prescribe implementation of 50 cybersecurity controls under four domains and pillars:

11 Controls

Secure Design

The design stage of the AI system development life cycle refers to risks and threat modeling, as well as system and model design.

14 Controls

Secure Development

The development stage of the AI system development lifecycle, including supply chain security, documentation, and asset and technical debt management.

15 Controls

Secure Deployment

The deployment stage of the AI system development life cycle, including protecting infrastructure and models from compromise, threat or loss, developing incident management processes, and responsible release.

10 Controls

Secure Operation

The secure operation and maintenance stage of the AI system development life cycle. refers to actions particularly relevant once a system has been deployed, including logging and monitoring, update management and information sharing. 

The guidelines prescribe implementation of 50 cybersecurity controls under four domains and pillars:

Any organization developing or using AI needs to implement 50 controls, plus these 5 additional controls prescribed by the Federal Office for Information Security in the German government:

So how can one quickly and effectively comply with the Guidelines for Secure AI?

So how can one quickly and effectively comply with the Guidelines for Secure AI?

The Solution

CyberCatch’s Secure
AI Compliance Manager

Now you can quickly complete a compliance risk assessment accurately and document attainment of compliance.

Watch Demo

Sign up now, be proactive and mitigate the risk faced to your AI model and system and stay secure from cyber threats.

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The guide first explains the opportunities, showcasing specific use cases. Then the guide reveals the five risks inherent in AI that must be mitigated and provides a step-by-step playbook to manage the risks. The guide also reveals which is the most significant risk and provides a specific playbook to mitigate it.

CyberCatch AI Risk Guide

The guide first explains the opportunities, showcasing specific use cases. Then the guide reveals the five risks inherent in AI that must be mitigated and provides a step-by-step playbook to manage the risks. The guide also reveals which is the most significant risk and provides a specific playbook to mitigate it.