We have a firm commitment to Generative AI Security, and strive to stay at the forefront of Generative AI security risks and mitigation techniques. This page is an indication to vendors and customers as to the approaches we have in place to mitigate LLM security concerns.
Active Protections
Active Protections
Data Exfiltration
Data Exfiltration
Phishing
System Manipulation
Phishing
System Manipulation
Generative AI Security Trust Center
Generative AI Security Trust Center
Generative AI Security Trust Center
Active Protections
Data Exfiltration
Phishing
System Manipulation
Personally Identifiable Information
Secrets
Google Drive Documents
SECURED
Zendesk Tickets
SECURED
External Webpages
SECURED
Local File Uploads
SECURED
Private Git Repositories
SECURED
Public Git Repositories
SECURED
Personally Identifiable Information
Personally Identifiable Information
Secrets
Secrets
Google Drive Documents
Google Drive Documents
Zendesk Tickets
Zendesk Tickets
External Webpages
External Webpages
Local File Uploads
Local File Uploads
Private Git Repositories
Private Git Repositories
Public Git Repositories
Public Git Repositories
SECURED
SECURED
SECURED
SECURED
SECURED
SECURED
Data sent to Large Language Models
Data sent to Large Language Models
Data sent to Large Language Models
Amazon Bedrock | Model Hosting
Amazon Bedrock | Model Hosting
Weaviate | Vector Database
Weaviate | Vector Database
Data and Model Residency
Data and Model Residency
Data and Model Residency
Generative AI Application Security Controls
Generative AI Application Security Controls
Gen AI Application Security Controls
Customer Data Privacy
Direct querying data exfiltration risk mitigated
Direct querying data exfiltration risk mitigated
RAG systems checked for data exfil risks
RAG systems checked for data exfil risks
Data sources checked for indirect risks
Data sources checked for indirect risks
End Customer Security
Phishing risk mitigated
Phishing risk mitigated
Attacker driven misinformation risk mitigated
Attacker driven misinformation risk mitigated
National security risk content mitigated
National security risk content mitigated
Malware download risk mitigated
Malware download risk mitigated
Automatic action manipulation risk mitigated
Automatic action manipulation risk mitigated
Profane content risk mitigated
Profane content risk mitigated
LLM Application Risk Assessment
LLM Application Security Pentest conducted
LLM Application Security Pentest conducted
LLM Application Security Monitoring
High risk LLM inputs, outputs, and actions tracked
High risk LLM inputs, outputs, and actions tracked
Historical traceability of risky events maintained
Historical traceability of risky events maintained
Alerting system in place for suspicious events
Alerting system in place for suspicious events
LLM Application IP Security
Company IP exfiltration risk mitigated
Company IP exfiltration risk mitigated
Customer IP exfiltration mitigated
Customer IP exfiltration mitigated
LLM Application Access Controls
Automated LLM actions analyzed for risk
Automated LLM actions analyzed for risk
Internal data writes analyzed for adversarial content
Internal data writes analyzed for adversarial content
