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- "When AI Becomes Insider”: Rogue Agents & Prompt Exploits
"When AI Becomes Insider”: Rogue Agents & Prompt Exploits
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Autonomous AI Agents Are Operating Without Oversight
Employees are deploying tools like AutoGPT with access to internal calendars, file systems, and APIs — without IT or security sign-off. These agents can take actions autonomously, making them unpredictable.
Prompt Injection in Internal LLM Tools Is Going Undetected
Attackers are embedding hidden commands in prompts to leak sensitive info, perform unauthorized actions, or override restrictions. Most internal chat interfaces have no guardrails for injection patterns.
API Abuse Is Reconstructing Proprietary Models
By flooding open AI endpoints with queries, attackers can reverse-engineer the logic and output of internal models, potentially replicating valuable IP or discovering latent vulnerabilities.
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Reused API Keys Are Linking Multiple Attack Surfaces
Developers are reusing the same keys or credentials across model endpoints and backend tools. One compromised key can expose multiple systems.
AI Audit Logs Miss the Most Critical Signals
Most LLM logs only capture prompt and response — not rejection events, fallback routes, or error triggers — leaving major gaps in post-incident analysis.
Internal Data Feeds Are Training Models Without Consent
LLMs trained on HR docs, support tickets, or legal memos are ingesting data without proper access control, increasing risk of sensitive leakage in model output.
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