These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
MITRE Atlas
ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a globally accessible, living knowledge base of adversary tactics and techniques against Al-enabled systems based on real-world attack observations and realistic demonstrations from Al red teams and security groups.
There are a growing number of vulnerabilities in AI-enabled systems as the incorporation of AI increases the attack surfaces of existing systems beyond those of traditional cyberattacks. ATLAS was developed to raise community awareness and readiness for these unique threats, vulnerabilities, and risks in the broader AI assurance landscape.
ATLAS can be used to:
- Inform security analysts and AI developers/implementers of realistic threats to AI-enabled systems;
- Enable threat assessments and internal red teaming;
- Understand real-world adversary behaviors and mitigation pathways;
- Report unique real-world adversary attacks on AI-enabled systems.
About the tool
You can click on the links to see the associated tools
Developing organisation(s):
Objective(s):
Impacted stakeholders:
Purpose(s):
Country of origin:
Type of approach:
Maturity:
Usage rights:
Target users:
Stakeholder group:
Geographical scope:
Programming languages:
Tags:
- ai risks
- ai vulnerabilities
- adversarial ai
- red-teaming
Use Cases
Would you like to submit a use case for this tool?
If you have used this tool, we would love to know more about your experience.
Add use case