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
- Evasion
- Information Extraction
- Poisoning
- Back Door Attacks
- Evasion
- Information Extraction
- Poisoning
- Back Door Attacks
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.
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:
- Risk Assessment
- Attack Simulation
- Evasion Attacks
- Extraction Attacks
- Poisoning & Back Door Attacks
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
- Workflow Engine
- Compliance Tips
- AI Advisor for Guidance
- Policies & Procedures Templates
- Charts & Reports
- Evidence Repository