Generative AI has become central to enterprise operations. According to McKinsey, 71% of organizations regularly use generative AI in at least one business function. According to Netskope, that number is as high as 96%.

This surging uptake is changing the way enterprises work. Developers are embedding more models into workflows. Business units are adopting more AI-powered tools. And customers have come to expect AI-driven convenience.

The opportunities are clear, yet so are the risks. AI threats have expanded the attack surface in ways traditional defenses never imagined.

Most organizations are not prepared. Security teams have major talent gaps even as shadow AI spreads across departments. And governance frameworks are still catching up. Staying secure in this emerging ecosystem requires an approach built for the realities of AI – because today, being AI-ready is the same as being business-ready.

The Expanding AI Attack Surface

AI is changing organizational risk. Every new model, dataset, or API adds another potential foot in the door for attackers. Previously unknown risks like poisoned data, vulnerable dependencies in the AI supply chain, and prompt-based exploits are already in play. What’s more, employees are bringing in their own AI tools to work, creating “shadow AI” that spreads without oversight. Studies show that four out of five enterprise AI tools operate without management, and almost 40% of employees admit sharing confidential data with AI platforms without approval.

For security leaders, that means blind spots. They need clear visibility into where AI is used, who is using it, and how. Only then can teams build safeguards strong enough to stop risks from turning into incidents.

At the same time, the expertise needed to manage AI risk is hard to find. Most teams lack the skills for both cybersecurity and AI, creating gaps in monitoring, governance, and response. In fact, McKinsey found that half of organizations report that they need more AI scientists than they currently have – another gap that limits the ability to secure and govern AI systems.

Why Does Traditional Security Fall Short?

Simply put – traditional security programs were created for a different set of problems.

Distributed tools and static controls cannot keep up with the speed and complexity of AI. Risks such as model tampering, hidden data leaks, and compromised supply chain components straightforward solutions move faster than these defenses can respond. The situation is so serious that 74% of organizations reported an AI-related breach in 2024

Many organizations cannot say with certainty where their AI workloads run, which tools have been introduced without approval, or what happens if a model is breached. Protecting AI-driven operations requires a modern, integrated approach designed for today’s risks.

The TeKnowledge AI-Ready Security Suite

TeKnowledge has created a straightforward enterprise grade solution to meet the challenges of secure AI adoption. Our AI-Ready Security Suite is designed  around three core pillars – Assess, Implement, Optimize. This framework mirrors the way enterprises actually run security programs, so it is a practical, scalable path to secure AI operations which includes evaluating current risks, to implementing protective controls, and continually optimizing defenses as AI initiatives evolve.

The TeKnowledge AI-Ready Security Suite is modular. Each pillar delivers value on its own, or all three can run together as a complete program:

• Assess

The first step is to get a clear understanding of risk. During our assessment stage, we conduct penetration tests, red teaming excercises, AI-specific evaulations of models, data flows, governance, other AI-specific tools and methods to find gaps in security coverage. We also show how these gaps translate into business impact and where attackers would most likely strike. This evidence-based approach gives leaders the facts they need to set priorities, replacing assumptions with clarity and laying the foundation for all that follows.

• Implement

The implementation stage helps the organization move from insight to action. It puts the right foundations in place so AI can run securely at scale. It includes secure cloud migrations for AI workloads, compliance controls for regulatory needs, and SOC operations built for modern environments. The goal is to weave resilience into systems and processes from the start – so security supports growth rather than slowing it down.

• Optimize

Optimization ensures that protection keeps pace with adoption. With a focus on continuous monitoring, faster response, and training – the optimization process equips both systems and people to handle AI-specific threats. It also secures customer-facing platforms. Optimizing is about staying ahead as both the business and the threat landscape evolve. It ensures that security grows with AI and that resilience is a given no matter how quickly adoption scales.

Why TeKnowledge

Enterprises need a partner that understands the scale of AI adoption and the security challenges it creates. TeKnowledge delivers that focus. Our recognition as an elite Microsoft Partner reflects our proven expertise in Azure, Microsoft Sentinel, and Copilot security – capabilities that matter because AI relies on the same data, identity, and cloud platforms.

TeKnowledge combines global scale with local expertise, providing continuous protection through a follow-the-sun support model. The AI-Ready Security Suite was built for modern AI environments – bringing managed services, cloud operations, and customer experience security together in one framework. It streamlines operations, reduces risk, and strengthens resilience as AI adoption grows.

The Bottom Line

AI is already driving everyday business operations, but adoption is outpacing safeguards. Many organizations move ahead without the protections needed to secure their models, data, and customer trust. The TeKnowledge AI-Ready Security Suite closes the gap between rapid AI adoption and effective security. TeKnowledge provides the expertise and global reach enterprises need to innovate with confidence and still maintain control. Because today, being AI-ready is the same as being business-ready.

Ready to close the gap between rapid AI adoption and real security?  Contact Us