Innovate – Secure – Responsible
Empowering Innovation But Responsible and Secure AI is Paramount.
AI helps you to innovate, solve complex problems, increase productivity, and improve accuracy in decision-making, but building Responsible and Secure AI is critical. A Model may reveal private data. Attackers may poison a training dataset to alter the behavior of a model. Bad actors tamper with the model to change its behavior towards a harmful outcome. An attacker may steal a model. Bad actors may bet the model to execute malicious instructions injected inside a prompt.
Responsible AI
- Avoid bias and discrimination.
- Explainable and interpretable AI systems.
- Ensure accountability
- Respect user privacy and data protection regulations.
Empower Innovation
- Generate new ideas
- Personalize experiences
- Facilitate collaboration
- Automate routine tasks
- Improve decision-making
- Analyze massive datasets
Secure AI
Design and test the robust and secure AI, minimizing the risk of errors, failures, and unintended consequences.
Secure – Protect – Monitor
Secure Your Data and AI Assets with Confidence
Implement measures like access control, encryption, monitoring, and network security to protect sensitive data, ensure model integrity, and safeguard the underlying infrastructure.
Secure the Data:
- Identify and classify sensitive data using Secure Data Protection API.
- Implement IAM to control access to data and AI resources based on user roles and permissions.
- Implement data encryption at rest and in transit.
- Track the origin and metadata of data assets using Cloud Data Catalog.
Secure the AI Models
- Model hardening during the model development process.
- Continuously tracks model performance and detects data drift or concept drift, indicating potential vulnerabilities.
- Integrate logging and monitoring to capture and analyze model behavior logs.
- Gain insights into model predictions, aiding transparency and facilitating trust.
Secure the AI Infrastructure
- Enforce fine-grained access control with Cloud IAM across all AI components, including compute instances, storage buckets, and APIs.
- Implement VPC Service Controls to isolate and protect sensitive AI resources.
- Implement Cloud Armor for web application firewall protection.
- Implement Secure network communication between AI components with Virtual Private Cloud (VPC) and Firewall rules.
- Implement Secure CI/CD using Cloud Build.
Security – Integrity – Compliance
