Mohamed Nabeel

Sr Principal Researcher at Palo Alto Networks

Talk	Desc
Detecting GenAI Threats at Scale with YARA-Like Semantic Rules	Traditional YARA rules revolutionized malware hunting, but they fail against semantic GenAI threats like prompt injection, brand impersonation, and disinformation campaigns. SYARA (Super YARA) extends YARA’s beloved syntax with multi-modal semantic detection—combining string matching, embeddings, ML classifiers, and LLMs in a single rule. In this hands-on session, you’ll learn to hunt GenAI-era threats including direct/indirect prompt injection, phishing detection using perceptual hashes, malicious intent identification, and disinformation detection. We’ll demonstrate why semantic detection at scale requires efficient layered approaches rather than expensive LLM-only solutions, achieving 98% detection rates at <100ms latency and $0.001/query—orders of magnitude faster and cheaper than LLM-based approaches.

Talk

Desc

Detecting GenAI Threats at Scale with YARA-Like Semantic Rules

Traditional YARA rules revolutionized malware hunting, but they fail against semantic GenAI threats like prompt injection, brand impersonation, and disinformation campaigns. SYARA (Super YARA) extends YARA’s beloved syntax with multi-modal semantic detection—combining string matching, embeddings, ML classifiers, and LLMs in a single rule. In this hands-on session, you’ll learn to hunt GenAI-era threats including direct/indirect prompt injection, phishing detection using perceptual hashes, malicious intent identification, and disinformation detection. We’ll demonstrate why semantic detection at scale requires efficient layered approaches rather than expensive LLM-only solutions, achieving 98% detection rates at <100ms latency and $0.001/query—orders of magnitude faster and cheaper than LLM-based approaches.

Enterprise Security in the Agentic AI Era

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Mohamed Nabeel

Mohamed Nabeel

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