DeepContext: Stateful Real-Time Detection of Multi-Turn Adversarial Intent Drift in LLMs | ScienceToStartup | ScienceToStartup

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References (18)

[1]

SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for AI-Powered Software

2025Wenliang Shan, Michael Fu et al.

[2]

LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge

2025Sahar Abdelnabi, Aideen Fay et al.

[3]

JavelinGuard: Low-Cost Transformer Architectures for LLM Security

Founder's Pitch

"DeepContext offers stateful real-time detection of adversarial intent drift in LLMs, outperforming existing guardrails with low-latency processing."

LLM Safety•Score: 6•View PDF ↗

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DeepContext: Stateful Real-Time Detection of Multi-Turn Adversarial Intent Drift in LLMs

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References (18)

Founder's Pitch

"DeepContext offers stateful real-time detection of adversarial intent drift in LLMs, outperforming existing guardrails with low-latency processing."

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DeepContext: Stateful Real-Time Detection of Multi-Turn Adversarial Intent Drift in LLMs

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Build This Paper

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Startup Essentials

References (18)

Founder's Pitch

"DeepContext offers stateful real-time detection of adversarial intent drift in LLMs, outperforming existing guardrails with low-latency processing."

Commercial Viability Breakdown

Related Papers

Related Resources