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GCP Vertex AI Jailbreak Prompt Heuristics
Oct 7, 2026 · Domain: GenAI Domain: Cloud Data Source: GCP Vertex AI Data Source: GCP Data Source: Google Cloud Platform Platform: GCP Service: GCP Vertex AI Use Case: Threat Detection Tactic: Defense Evasion Threat: Unauthorized AI Usage Mitre Atlas: AML.T0051 Mitre Atlas: AML.T0054 Resources: Investigation Guide Rule Type: ES|QL ·Detects Vertex AI GenerateContent prompts that match common jailbreak / instruction-override heuristics (for example ignore previous instructions, DAN or developer mode, unrestricted-AI language, or explicit safety-filter bypass). Typical prompt_response_logs exports do not populate HARM_CATEGORY_JAILBREAK (unlike hate/harassment/dangerous ratings); Model Armor findings remain the preferred first-party jailbreak signal when that API is enabled.
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Azure OpenAI Insecure Output Handling
Oct 7, 2026 · Domain: GenAI Data Source: Azure OpenAI Data Source: Azure Event Hubs Use Case: Insecure Output Handling Resources: Investigation Guide Noise: Low Performance: Fast Threat: Unauthorized AI Usage Threat: LLMjacking Rule Type: ES|QL Platform: Azure Domain: Cloud Service: Azure OpenAI Service: Azure Event Hubs Mitre Atlas: AML.T0051 Mitre Atlas: AML.T0057 ·Detects when Azure OpenAI requests result in zero response length, potentially indicating issues in output handling that might lead to security exploits such as data leaks or code execution. This can occur in cases where the API fails to handle outputs correctly under certain input conditions.
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Detects a Microsoft Foundry chat, sent through API Management, where Azure sets jailbreak.detected on the prompt. The flag is on the prompt filter when the call is allowed through, and on the error body when the filter blocks the call.
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Detects three or more completed assistant refusals from the same client, API Management subscription, and model. Matching replies finished on their own (finish_reason stop) and declined the prompt. A burst means that caller kept sending prompts the model will not answer.
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AWS Bedrock Guardrails Detected Multiple Policy Violations Within a Single Blocked Request
Oct 1, 2026 · Domain: GenAI Data Source: AWS Bedrock Data Source: AWS S3 Resources: Investigation Guide Use Case: Policy Violation Noise: Low Performance: Fast Threat: Unauthorized AI Usage Rule Type: ES|QL Platform: AWS Domain: Cloud Service: AWS S3 Service: AWS Bedrock Mitre Atlas: AML.T0051 Mitre Atlas: AML.T0054 ·Identifies multiple violations of AWS Bedrock guardrails within a single request, resulting in a block action, increasing the likelihood of malicious intent. Multiple violations implies that a user may be intentionally attempting to cirvumvent security controls, access sensitive information, or possibly exploit a vulnerability in the system.
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AWS Bedrock Guardrails Detected Multiple Violations by a Single User Over a Session
Oct 1, 2026 · Domain: GenAI Data Source: AWS Bedrock Data Source: AWS S3 Resources: Investigation Guide Use Case: Policy Violation Noise: Low Performance: Normal Profile: Recommended Threat: Unauthorized AI Usage Rule Type: ES|QL Platform: AWS Domain: Cloud Service: AWS S3 Service: AWS Bedrock Mitre Atlas: AML.T0051 Mitre Atlas: AML.T0054 ·Identifies multiple violations of AWS Bedrock guardrails by the same user in the same account over a session. Multiple violations implies that a user may be intentionally attempting to cirvumvent security controls, access sensitive information, or possibly exploit a vulnerability in the system.
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AWS Bedrock Invocations without Guardrails Detected by a Single User Over a Session
Oct 1, 2026 · Domain: GenAI Data Source: AWS Bedrock Data Source: AWS S3 Resources: Investigation Guide Use Case: Policy Violation Noise: Low Performance: Normal Profile: Recommended Threat: Unauthorized AI Usage Rule Type: ES|QL Platform: AWS Domain: Cloud Service: AWS S3 Service: AWS Bedrock Mitre Atlas: AML.T0051 Mitre Atlas: AML.T0054 ·Identifies multiple AWS Bedrock executions in a one minute time window without guardrails by the same user in the same account over a session. Multiple consecutive executions implies that a user may be intentionally attempting to bypass security controls, by not routing the requests with the desired guardrail configuration in order to access sensitive information, or possibly exploit a vulnerability in the system.
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Detects repeated high-confidence 'BLOCKED' actions coupled with specific 'Content Filter' policy violation having codes such as 'MISCONDUCT', 'HATE', 'SEXUAL', INSULTS', 'PROMPT_ATTACK', 'VIOLENCE' indicating persistent misuse or attempts to probe the model's ethical boundaries.
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Detects repeated compliance violation 'BLOCKED' actions coupled with specific policy name such as 'sensitive_information_policy', indicating persistent misuse or attempts to probe the model's denied topics.
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Detects repeated compliance violation 'BLOCKED' actions coupled with specific policy name such as 'topic_policy', indicating persistent misuse or attempts to probe the model's denied topics.
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Unusual High Word Policy Blocks Detected
Detects repeated compliance violation 'BLOCKED' actions coupled with specific policy name such as 'word_policy', indicating persistent misuse or attempts to probe the model's denied topics.
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