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Claude Prompt Injection: Why AI Forgets Its Own Instructions
Claude prompt injection attacks can make the AI ignore every rule it was given. Here is exactly how it happens and what you can do to stop it.
If you have ever built a product on top of Claude or any large language model, you have probably assumed the system prompt is safe. You wrote the rules, you set the boundaries, and you trusted the model to follow them. This video shows you why that assumption is dangerous.
Prompt injection is the attack where new instructions hidden inside user input, a document, a web page, or a tool result convince the model to abandon the instructions it was given at the start of a conversation. The model does not get hacked in the traditional sense. It simply reads text and tries to be helpful, and that helpfulness becomes the vulnerability.
In this video you will learn what prompt injection actually looks like in a real Claude workflow, why the architecture of transformer-based models makes this problem so hard to solve, and what the current state of defenses looks like in 2024 and 2025. You will also see the specific types of prompts that cause Claude to behave as if its earlier instructions never existed, including indirect injection through retrieved documents and multi-turn attacks that slowly shift context over a long conversation.
Three things you will walk away knowing: first, the difference between direct and indirect prompt injection and why indirect is far more dangerous in production systems; second, which mitigation strategies actually reduce risk versus which ones are mostly security theater; third, why Anthropic has acknowledged this class of problem and what their current guidance says about building safer agentic pipelines.
This channel covers AI systems, large language model behavior, and the practical side of building and evaluating AI products. If you work with AI tools, build on AI APIs, or just want to understand how these models actually behave under pressure, this channel is for you. New videos every week.
Chapters
00:00 The Core Problem
01:00 What Injection Means
02:00 Direct vs Indirect
03:00 Indirect Attack Vectors
04:00 Multi-Turn Context Drift
05:00 Real Attack Examples
06:00 Defense Strategies
07:00 Practical Takeaways
If this was useful, a like helps more than you think and subscribing keeps these coming. Drop a comment with the one thing you want covered next.
#ai #claudeai #promptinjection #llmsecurity #artificialintelligence
Видео Claude Prompt Injection: Why AI Forgets Its Own Instructions канала AI Unfiltered
If you have ever built a product on top of Claude or any large language model, you have probably assumed the system prompt is safe. You wrote the rules, you set the boundaries, and you trusted the model to follow them. This video shows you why that assumption is dangerous.
Prompt injection is the attack where new instructions hidden inside user input, a document, a web page, or a tool result convince the model to abandon the instructions it was given at the start of a conversation. The model does not get hacked in the traditional sense. It simply reads text and tries to be helpful, and that helpfulness becomes the vulnerability.
In this video you will learn what prompt injection actually looks like in a real Claude workflow, why the architecture of transformer-based models makes this problem so hard to solve, and what the current state of defenses looks like in 2024 and 2025. You will also see the specific types of prompts that cause Claude to behave as if its earlier instructions never existed, including indirect injection through retrieved documents and multi-turn attacks that slowly shift context over a long conversation.
Three things you will walk away knowing: first, the difference between direct and indirect prompt injection and why indirect is far more dangerous in production systems; second, which mitigation strategies actually reduce risk versus which ones are mostly security theater; third, why Anthropic has acknowledged this class of problem and what their current guidance says about building safer agentic pipelines.
This channel covers AI systems, large language model behavior, and the practical side of building and evaluating AI products. If you work with AI tools, build on AI APIs, or just want to understand how these models actually behave under pressure, this channel is for you. New videos every week.
Chapters
00:00 The Core Problem
01:00 What Injection Means
02:00 Direct vs Indirect
03:00 Indirect Attack Vectors
04:00 Multi-Turn Context Drift
05:00 Real Attack Examples
06:00 Defense Strategies
07:00 Practical Takeaways
If this was useful, a like helps more than you think and subscribing keeps these coming. Drop a comment with the one thing you want covered next.
#ai #claudeai #promptinjection #llmsecurity #artificialintelligence
Видео Claude Prompt Injection: Why AI Forgets Its Own Instructions канала AI Unfiltered
ai agent security ai jailbreak techniques ai prompt injection attack ai safety 2025 anthropic claude safety artificial intelligence claude ai ignore instructions claude prompt injection how prompt injection works indirect prompt injection large language model security llm prompt attack llm security vulnerabilities prompt hacking prompt injection explained system prompt bypass
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11 мая 2026 г. 13:12:30
00:08:04
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