🤖 Security · AI · Agentic Systems
Learn the Agentic Top 10
by actually doing it.
An interactive, slide-by-slide breakdown of the top 10 agentic AI security risks. Built for anyone who learns differently.
AG01Live
Agent Goal Hijack
When an attacker redirects your AI agent to serve their goals instead of yours — without you ever knowing it switched sides.
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AG02Live
Tool Misuse and Exploitation
When agents are tricked into using their own tools in ways that cause harm — from data theft to unauthorized system changes.
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AG03Live
Identity and Privilege Abuse
When agents act with more authority than they should — impersonating users, escalating permissions, or inheriting trust they haven't earned.
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AG04Live
Agentic Supply Chain Vulnerabilities
When the tools, models, plugins, or data sources an agent depends on are compromised before the agent ever runs.
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AG05Live
Unexpected Code Execution
When an agent generates and runs code that does something its operators never intended — including remote code execution on host systems.
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AG06Live
Memory & Context Poisoning
When an attacker corrupts what an agent remembers — planting false beliefs that persist across sessions and silently shape future decisions.
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AG07Live
Insecure Inter-Agent Communication
When messages between agents in a pipeline can be forged, intercepted, or manipulated — turning trusted orchestration into an attack vector.
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AG08Live
Cascading Failures
When one agent's error or compromise propagates through a multi-agent system, triggering failures across every connected component.
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AG09Live
Human-Agent Trust Exploitation
When users place too much — or too little — trust in an AI agent, and attackers exploit that gap to manipulate decisions or bypass oversight.
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AG10Live
Rogue Agents
When an agent develops misaligned behavior — pursuing goals that diverge from its principal hierarchy through optimization, goal injection, or emergent capability exploitation.
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