Powerful crypto compliance: A clear guide to regulatory success

Cryptocurrency represents more than just a disruptive financial innovation; it’s a bold experiment in how value circulates. But beneath every blockchain transaction lies a complex web of regulation, fragmented jurisdictions, and growing scrutiny. Organizations today must navigate these challenges carefully or risk legal penalties, reputational harm, and operational setbacks. Across the globe, urgency around crypto oversight is intensifying.

8 best data classification tools for automated discovery in 2026

Automated data classification tools are the foundation that every other data security capability builds on. Without continuous classification across hybrid environments, organizations cannot enforce DLP policies, meet compliance mandates, or answer who has access to sensitive data. The right tool depends on whether your primary need is security-focused classification tied to identity context, or governance-focused cataloging for data stewardship.

New A0Backdoor Linked to Teams Impersonation and Quick Assist Social Engineering

BlueVoyant Security Operations Center (SOC) and Threat Fusion Cell (TFC) continue to track an activity cluster that uses email bombing and IT-support impersonation over Microsoft Teams to obtain Quick Assist access, then pivot to a deeper attack. This research shows that once on the victim’s host, the actors sideload a malicious DLL to deliver a new backdoor BlueVoyant has dubbed the A0Backdoor.

Bridging IT and OT identity decisions on the factory floor

In today’s smart factories, production doesn’t go quiet at shift change. Behind the scenes, modern manufacturing systems never cease. They continuously exchange data, adjust software and processes in real time, and allow vendors to connect remotely to monitor performance or deliver updates. As these interactions multiply, the number of identity-driven points grows just as quickly.

AI Impact Summit 2026 Highlights | FinTech, AI & Data Security Insights #ai

AI Impact Summit 2026 Highlights | AI, FinTech & Data Security Insights from Delhi This video covers our 5-day experience at AI Impact Summit 2026 in New Delhi, one of India's leading technology events focused on Artificial Intelligence, FinTech, Data Security, and Compliance. During the summit, we connected with industry leaders, CISOs, FinTech professionals, and AI innovators, discussing the latest developments in data protection, AI governance, cybersecurity, and enterprise AI adoption.

Data Loss Prevention (DLP): What It Is, Types, and Solutions

Most data breaches don’t happen because systems fail. They happen because people make routine errors. Attackers know this, which is why social engineering has become the dominant attack vector, exploiting everyday actions like emailing files or responding to messages. Today, 70–90% of successful cyber attacks involve social engineering, resulting in data exposure that technical safeguards can’t intercept.

Entropy vs. Polymorphic Tokenization: Which One Actually Protects Your AI Pipeline?

If you’re building AI applications that touch sensitive data, tokenization isn’t optional. It’s the layer that decides whether your pipeline leaks PHI, PII, or financial data to your LLM, or keeps it protected. But here’s where most teams stop thinking: not all tokenization is the same. Two approaches you’ll encounter most often are entropy-based tokenization and polymorphic tokenization. They sound similar. They serve completely different purposes.

How KeeperPAM Integrates With CNAPP

Description: Cloud-Native Application Protection Platforms (CNAPPs) provide visibility into cloud risk, but without a Privileged Access Management (PAM) solution, organizations cannot enforce secure access with CNAPPs alone. In this video, learn how KeeperPAM integrates with CNAPPs to enforce zero-trust, least-privilege access across cloud-native environments.

Fake Calendar Invitations Move to Microsoft Outlook

Fake calendar invites have been a problem on Gmail for years. Even though they could appear on other calendar services, I hadn’t seen or read about a lot of it. Gmail had been taking the brunt of the fake calendar invites. However, I got a scam Microsoft Outlook calendar invite recently, and other Outlook users are complaining more as well. So, what was previously happening mostly in Gmail has now moved over to Outlook, too. I am a busy guy.