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Field notes, analysis, and perspectives from the SaaviGenAI team — written for security leaders, AI practitioners, and enterprise teams navigating the new AI landscape.
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Perspectives on AI security, LLM governance, and enterprise AI adoption — with more in progress.
Anthropic's Claude Mythos can identify high-severity vulnerabilities, generate functional exploits, and has already found thousands of previously undetected flaws fundamentally shifting the cybersecurity asymmetry toward AI-assisted attackers.
Large Language Models are trained only on the publicly crawlable surface web — excluding paywalled content, private data, and restricted sources. Understanding this gap is critical for anyone building or governing AI systems.
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