July 24, 2026

AI: the importance of protecting the value of proprietary models

In this article featured in Startupbusiness, Carla Mascia examines why proprietary AI models have become one of the enterprise's most valuable assets. As organizations build competitive advantage through AI, protecting models, training data, and the intellectual property they contain is becoming a strategic business priority rather than simply a security concern.
July 23, 2026

OpenAI’s Models Escaped a Sandbox. What Was Waiting Outside Matters More.

The OpenAI and Hugging Face incident is a reminder that the real question isn't whether an AI agent can cross a security boundary. It's what waits on the other side. For enterprises deploying AI, the answer reaches far beyond infrastructure security and into the protection of their most valuable intellectual property.
June 30, 2026

AITech Interview with Paolo Campoli, Senior Vice President, DataKrypto

As AI moves from experimentation into production, enterprise priorities are shifting. In this interview, Paolo Campoli discusses why trust, governance, and secure execution are becoming foundational requirements for AI deployment, and how organizations can prepare for the next phase of enterprise AI adoption.
June 16, 2026

The AI Stack Is Compromised by Design

Four incidents exposed vulnerabilities across AI's four layers: an autonomous agent breached McKinsey's platform in two hours; a supply chain attack compromised LiteLLM; hardware security failed with basic tools; frontier models discovered thousands of zero-day OS flaws. Each incident revealed the same critical problem: data remains readable plaintext when breaches occur.
June 3, 2026

AI Is Entering Its Assurance Phase

Enterprise AI is entering a new phase—one defined not by capability alone, but by assurance. As AI systems move from experimentation to business-critical operations, organizations must prove security, integrity, compliance, and trustworthiness. The winners of the next AI era won't be those with the most AI, but those who can verify, protect, and prove it.
March 2, 2026

Where AI Security Standards Stop — and Runtime Protection Must Begin

With all of the talk about the security risks of AI, one issue that seems to be overlooked is this: the fact that AI systems only function by exposing their most valuable assets — models and data. Unlike traditional software, AI doesn’t simply execute predefined logic. It continuously blends proprietary models with sensitive inputs to generate outputs, often on infrastructure that was not designed to protect computation.