RESOURCES

The real danger with AI is quieter and wider than protecting an LLM. And it’s happening faster than security teams realize. These risks of AI in business: the silently expanding attack surface. When growing data pipelines, APIs, identity systems, and unauthorized shadow AI tools are left ungoverned, each becomes an entry point for attackers. Not to mention a risk to the enterprise. Here’s what security leaders need to know, and how to start closing the gaps before attackers

An employee can subscribe to and use a new AI tool in minutes. But developing the policy governing its use? Months. That’s an uncomfortable gap for technology and security leaders. Because many are used to the point-in-time Governance, Risk, and Compliance (GRC) assessment. Teams would run a quarterly evaluation, check the boxes, then revisit three months later. Now there's (rapidly-growing) shadow AI, data leaking into unsanctioned tools, and new AI pilot programs appearin

Artificial intelligence is no longer optional—it’s a defining force behind competitive advantage. Yet as organizations adopt AI, many are left navigating a fragmented landscape of disconnected initiatives, unclear ownership, rising costs, and growing risk. The OakTruss Group AI Cube™ changes that. Our proprietary framework brings structure and clarity to enterprise AI adoption by combining a three-axis model—cognitive architecture, agent authority, and strategic scope—with a

Many conversations with CISOs center around ransomware trends and what to watch for. But recently, they've evolved around a valid question: What happens if these cyber attack groups get their hands on generative AI that writes malware faster than an enterprise can patch? Or uses agentic AI to move throughout networks and auto-adapt to evade detection? These are legit concerns. Because traditional defense programs aren’t built to withstand AI-based tactics, techniques, and pr