Skip to content

Commit aee5546

Browse files
authored
Enhance AI vulnerabilities analysis and mitigation section
Added content on AI vulnerabilities and mitigation strategies, including learning objectives and various risk categories.
1 parent c45b407 commit aee5546

1 file changed

Lines changed: 4 additions & 2 deletions

File tree

learn-pr/wwl/design-responsible-ai-security-governance-risk-management-compliance/includes/5-analyze-solution-ai-vulnerabilities-mitigations-prompt-manipulation.md

Lines changed: 4 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -70,7 +70,9 @@ Models may respond unpredictably when encountering ambiguous, adversarial, or se
7070

7171
### Data exposure vulnerabilities
7272

73-
#### AI systems often have access to sensitive data sources. Vulnerabilities appear when
73+
#### AI systems often have access to sensitive data sources.
74+
75+
Vulnerabilities appear when:
7476

7577
- Prompts indirectly expose sensitive information.
7678

@@ -190,4 +192,4 @@ Monitoring is central to detecting prompt attacks, unusual model behavior, and u
190192

191193
- [Threat protection for Microsoft 365 agents](/microsoft-agent-365/admin/threat-protection)
192194

193-
- [Evaluate AI agents with the Azure AI Foundry SDK](/azure/ai-foundry/how-to/develop/agent-evaluate-sdk)
195+
- [Evaluate AI agents with the Azure AI Foundry SDK](/azure/ai-foundry/how-to/develop/agent-evaluate-sdk)

0 commit comments

Comments
 (0)