AIBlindspot

Public Database

Case Studies

Every approved AI failure case, classified against the AI Blindspot Framework. New to AIBlindspot? Start with the overview or the methodology.

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1296 cases

Lifecycle quick filter:DesignDevelopDeployOperate
TECTEC-0015/5NewDefenceGlobal

Multi-Agent AI Systems Combining Capabilities to Defeat Security Safeguards

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested
TECTEC-0014/5NewOtherGlobal

AI-Enabled Swarm Attacks Overwhelm Single-Agent Security Assumptions

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested
TECTEC-0013/5NewOtherGlobal

Multi-Agent AI Systems Introduce Novel Security Vulnerabilities

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested
TECTEC-0014/5NewOtherGlobal

Collective AI Systems Develop Emergent Goal-Directed Behaviour

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested
OPSOPS-0013/5NewOtherGlobal

Corrupted Training Loop from Undesirable Model Outputs

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
TECTEC-0014/5NewOtherGlobal

AI Agents as Attack Surface for Principal Compromise

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested
TECTEC-0015/5NewOtherGlobal

Cascading Security Failures in Multi-Agent AI Systems

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Source: MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025)Ingested
SECSEC-0014/5NewOtherGlobal

Model Extraction Attack Exposes Proprietary AI Architecture and Parameters

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Source: MIT AI Risk Repository — Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data (Marchal2024)Ingested
SECSEC-0014/5NewOtherGlobal

Open-Source AI Models Repurposed for Unintended or Harmful Applications

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Source: MIT AI Risk Repository — Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data (Marchal2024)Ingested
SECSEC-0014/5NewOtherGlobal

Jailbreaking Dismantles AI Safety Controls to Enable Unrestricted Harmful Output

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Source: MIT AI Risk Repository — Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data (Marchal2024)Ingested
SECSEC-0014/5NewOtherGlobal

Generative AI Model Exposes Sensitive Personal Data Used in Training

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Source: MIT AI Risk Repository — Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data (Marchal2024)Ingested
GOVGOV-0013/5NewOtherGlobal

Opaque Training Data Provenance Undermines Model Explainability

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
DATDAT-0025/5NewOtherGlobal

PII and Sensitive Data Leakage Through AI Training Datasets

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
SECSEC-0014/5NewOtherGlobal

Prompt Injection Attack Manipulates Generative AI Output

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
SECSEC-0014/5NewOtherGlobal

Prompt Priming Causes Generative Models to Leak Personal Training Data

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
SECSEC-0014/5NewOtherGlobal

Adversarial Input Manipulation Causes AI Model to Produce Incorrect Outputs

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
SECSEC-0014/5NewOtherGlobal

Prompt Leakage Exposes Confidential AI System Instructions

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
SECSEC-0014/5NewTransportGlobal

Jailbreak Attacks Bypass AI Safety Controls in Transport Systems

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
DATDAT-0024/5NewOtherGlobal

Sensitive Personal Data Exposed Through AI Model Prompts

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
SECSEC-0014/5NewOtherGlobal

Generative AI Weaponised to Produce Hateful and Obscene Content

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
SECSEC-0044/5NewOtherGlobal

Generative AI Deployed to Spread Targeted Disinformation

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
HUMHUM-0043/5NewOtherGlobal

AI Model Deployed Outside Its Intended Purpose

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
DATDAT-0023/5NewOtherGlobal

Confidential Data Leaked via Model Prompt Submission

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested
OPSOPS-0013/5NewOtherGlobal

AI Model Delivers Insufficient Accuracy for Its Intended Task

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Source: MIT AI Risk Repository — AI Risk Atlas (IBM2025)Ingested

Beyond accidental failureNational Security

We also track 20 hostile uses of AI.

National Security dashboard →

The public database covers AI that fails by accident. AIBlindspot National Security — exclusive to the Defence tier — tracks AI used as a weapon, mapped by capability:

State-Sponsored AI Operations
6
AI-Enabled Disinformation
5
Adversarial Attacks on AI
0
Autonomous Weapon Incidents
1
AI-Assisted Cyber Attacks
5
Dual-Use AI Misuse
3