With the new $9.5M Seed round led by Allegis Capital, Polygraf AI is building the next generation of enterprise AI security—powered by its proprietary Small Language Models.
Summary: Polygraf AI Contextual Confidentiality Engine Organizations invest heavily in securing networks and digital assets, yet physical document leakage remains an overlooked vulnerability.
Abstract Artificial Intelligence (AI) technologies are transforming industries by driving efficiency, innovation, and growth. However, with these advancements come inherent risks related to data privacy, bias, accountability, and ethical considerations.
THE CURRENT LANDSCAPE OF AI IN ENTERPRISES In 2023, it is estimated that enterprises worldwide invested around $151 billion in Artificial Intelligence [1].
Polygraf AI sets the benchmark for Sensitive Data protection, delivering maximum detection accuracy across PII, PHI and PCI data types and 70 percent fewer false positives than leading cloud tools.
Summary: Polygraf AI Contextual Confidentiality Engine Organizations invest heavily in securing networks and digital assets, yet physical document leakage remains an overlooked vulnerability.
Summary: Polygraf AI Contextual Confidentiality Engine Organizations invest heavily in securing networks and digital assets, yet physical document leakage remains an overlooked vulnerability.
Summary: Polygraf AI Contextual Confidentiality Engine Organizations invest heavily in securing networks and digital assets, yet physical document leakage remains an overlooked vulnerability.