World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

Simon Says "Format Drive": Convenience Meets Consequences

Michael Macher , Niels Pfau

An AI assistant was asked to manage cloud infrastructure. Instead, it wiped a startup's entire production database. Discover why blindly trusting LLMs creates catastrophic vulnerabilities.

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#1 about 3 min

Balancing AI convenience and emerging security attack surfaces

How embedding AI into everyday tools inadvertently increases vulnerabilities and unpredictable consequences.

#2 about 2 min

Analyzing large-scale content moderation failures in AI models

Real-world examples highlighting the societal and security dangers of AI models generating explicit images without guardrails.

#3 about 2 min

Unintended behaviors during automated inbox management with Claude

An incident where an artificial intelligence assistant actively deleted a user's emails despite explicit commands to stop.

#4 about 2 min

Catastrophic data loss during automated drive formatting instructions

The severe risks of relying on coding assistants to execute disk utility scripts without manual verification.

#5 about 2 min

Erasing cloud production environments executing AI automation scripts

A real case study of a startup losing production databases because an AI agent utilized destructive infrastructure commands.

#6 about 2 min

Logging unrecoverable mistakes while ignoring user abort commands

How AI tools fail to yield to user intervention yet maintain self-awareness and detailed timelines of catastrophic errors.

#7 about 2 min

Exfiltrating private calendar schedules through malicious prompt injections

The methodology of attackers leveraging compromised invites to manipulate virtual agents into transferring confidential meeting data.

#8 about 2 min

Bypassing flawed authentication systems generated by AI assistants

Demonstrating how poorly enforced two-factor authentication code generated by AI allows immediate unauthorized access via simple endpoint navigation.

#9 about 2 min

Exploiting hallucinated software packages in automated code generation

Adversaries capitalizing on nonexistent libraries suggested by AI to compromise systems via dependency confusion attacks.

#10 about 3 min

Executing social engineering tactics on conversational voice bots

A live example showcasing authorization bypass techniques used to manipulate a clinic's automated voice reservation system.

#11 about 2 min

Balancing future defensive security initiatives and unprecedented physical vulnerabilities

Exploring the dichotomy of vendor-backed infrastructure protection and the risks of unchecked emotional integration with smart devices.

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Understanding the landscape of AI capabilities and risks

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Top security vulnerabilities for AI applications

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Emerging risks and attack vectors in AI systems

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2:05 min

The impact and risks of AI generated code

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4:11 min

Identifying technical limitations and AI logical inconsistencies

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