Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Trust Centers and AI are replacing security questionnaires and accelerating B2B sales

As Anna say in the podcast, “Security reviews show up just when you think the deal is about to close. It’s like a final boss that no one wants to fight.” The last-mile friction caused by security diligence isn’t new, but it’s becoming more painful as deal cycles tighten and expectations around transparency rise. Buyers want answers faster. Vendors want to close faster. And security teams, stuck in the middle, are often left juggling risk, reputation, and revenue timelines.

The Hidden Risk in Enterprise AI, and the Smarter Way to Safeguard Data

AI exploded into the workplace overnight, reshaping how we work. Today, nearly every employee is experimenting with tools to move faster and think bigger. However, that acceleration comes with risk. According to Cyberhaven Labs’ latest research, nearly three-quarters of AI apps in use pose high or critical risks, and only 16% of enterprise data sent to AI ends up in enterprise-ready apps. The rest flows to personal or unvetted tools.

Adversarial AI and Polymorphic Malware: A New Era of Cyber Threats

The state of cybersecurity has always been in flux, but the arrival of tools like ChatGPT heralded one of the most significant challenges for security teams in years. AI has the potential to unlock incredible potential in data processing and malware detection, but in the wrong hands, Large Language Models (LLMs) and other adversarial AI tools can be used to develop polymorphic malware that can escape detection, gain access to sensitive data, and poison data sets.

The WinINet.dll Red Flag Moment #cybersecurity #ai

Our recent webinar showed how our MCP server enables AI to apply the same technical analysis that expert threat hunters use by providing structured API access to security data and tools. In the demo, Claude identified WinINet.dll loaded in a suspicious process - a discovery that Eric Capuano, founder of Digital Defense Institute, called "a pretty smart move." This moment highlighted how AI can move beyond basic data collection to understand investigative context and connect technical findings to broader threat hypotheses.

How Nightfall Brings AI-Native Context-Aware DLP to Microsoft 365

It's 8:47 AM. Your phone buzzes with another "urgent" DLP alert. You've already ignored three this morning. This one screams "SENSITIVE DATA DETECTED" in all caps. But it’s just a lunch menu with a credit card number for catering. You silence the notification and grab your coffee. What you don't know? While you're dismissing false alarms, your VP of Finance just dropped next quarter's earnings in a public Teams channel. Your DLP system? Completely silent.