Incident response for enterprises comes down to two questions: do you have a plan, and is it battle-tested? Most organizations can answer "yes" to the first. Far fewer can answer "yes" to the second, because having a plan and proving a team can execute it are two different things. Cyber resilience is a maturity signal, and tabletop exercises are how that maturity gets built and demonstrated. TL;DR A cybersecurity incident response plan tells an organization what to do when a

Most organizations don't lack insight into their security and AI risks. They lack momentum. The assessment gets delivered, the findings are sound, and then the hardest part begins: turning a set of recommendations into measurable change while threats evolve and AI adoption accelerates around you. That distance between knowing and doing is where outcomes are won or lost. Cyber threats shift in hours, and AI is being adopted faster than governance can keep pace. So once you've

Remember the rules of traditional penetration testing? You took your static network, servers, and web apps, then methodically poked and prodded them until something gave. The perimeter was defined, and you knew where the entry points were. It's skilled, rigorous work — and it still matters. Today, artificial intelligence (AI) is highly accessible and a core part of most enterprise strategies. And because it connects and learns, AI introduces an entirely new class of vulnerabi

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

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

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

Enterprise CISOs are splitting into two camps on AI. One group is fully behind their company’s AI-first vision; the other is firmly adhering to a security-first ideology. The truth is, AI innovation without security invites chaos, while rigid control without innovation ensures irrelevance. The real task for CISOs is to integrate governing AI with the same rigor they use to defend the enterprise. At OakTruss Group and HFS Research, we see AI growth hinging on how well organiz