Enterprise Cybersecurity Solutions: Where Are the Gaps in the Age of AI?

You’ve bought the latest AI productivity tools, locked down endpoints, and even trained your employees on phishing. So why does your enterprise data still feel exposed?

Enterprise cybersecurity solutions weren’t built for AI-native environments, and these are the exact blind spots leading to threats.

As AI gains popularity, enterprise cybersecurity solutions must do more than block malware or enforce access policies. They must understand, monitor, and secure AI usage, a curveball most companies didn’t see coming.

Gaps in Enterprise Cybersecurity Solutions in the Age of AI

Let’s understand the problem now - one you might not even know exists in your AI security essentials and how Fortanix Armet AI can help you fill them.

1. The Shadow AI Problem: It’s Not Just Shadow IT Anymore

Is your sales team using ChatGPT to write pitches? Or the HR team experimenting with AI résumé scanners?

These tools process sensitive data such as customer names, salaries, and internal policies; and enterprises have zero visibility.

The fundamental problem is that traditional enterprise cybersecurity solutions don’t monitor how sensitive data moves through AI tools.

Fortanix Armet AI solves the shadow AI problem by giving organizations a secure, ready-to-use platform for GenAI. Right out of the box, it enforces strict security and compliance standards across AI data pipelines, so teams can safely work with sensitive internal data—like customer info, HR records, or financials without risk.

Behind the scenes, it runs on Confidential Computing technologies from Intel (SGX and TDX), backed by Intel’s Tiber Trust Authority and Azure’s confidential VMs powered by NVIDIA H100 GPUs. This setup keeps data protected even during processing, using isolated, attested environments that block unauthorized access and tampering.

2. AI Models are Learning from You, and Leaking Back Out

Did your legal team just paste a client NDA into a chatbot? Hope not! But in this case, you’ve just trained a model with proprietary legal language. And unless you're using protected AI environments, that information can be surfaced later by a different user with a similar prompt.

Traditional or currently available enterprise cybersecurity solutions don’t audit what AI models “learn” from user prompts. This means they can't verify if sensitive, regulated, or proprietary information is being stored, used for training, or leaked.

This gap violates compliance such as GDPR and HIPAA and creates intellectual property exposure.

Fortanix Armet AI provides memory-safe inference environments. This means prompts and responses are ephemeral. They don't get logged or stored, and your IP stays yours.

It scrubs sensitive data before it reaches the model, defends against prompt injection and manipulation, and enforces policies to keep AI outputs safe, compliant, and aligned with enterprise standards.

3. Compliance Can’t Catch Up, but You Still Have to Stay Ahead

Compliance frameworks change faster than your legal team can track, from GDPR to HIPAA to the new EU AI Act. Most enterprise cybersecurity solutions are reactive. They wait for rules to get written before adapting.

However, with AI usage mushrooming at lightning speed, enterprises can't wait. We need proactive guardrails now.

Fortanix Armet AI enables policy-as-code for AI use, so you can set and enforce rules (like “no PII in external LLMs” or “only use internal models for finance workflows”) before auditors come knocking. The best part is that it integrates with your existing compliance logs and SIEMs.

Employees Will Keep Using AI Whether You Like It or Not

AI is here to stay. Employees are finding ways to use it, just because it works with less hassle. If your cybersecurity posture is simply “block everything,” you won’t be able to leverage the best of AI tools.

If it’s “trust everyone,” you’ll bleed data. The honest answer is visibility and control. That is where Fortanix Armet performs.

Don’t Let AI Be Your Blind Spot

Enterprise cybersecurity used to mean firewalls, endpoint protection, and identity access control. That’s still necessary but it’s not sufficient.

Your teams are already using AI to accelerate work. That’s great. But AI that’s unmanaged, unmonitored, and unsecured is a silent breach in progress.

Cyber security for enterprise must include AI-specific controls:

• Data-aware prompt filtering
• Contextual AI traffic monitoring
• Policy orchestration across AI use cases
• Regulatory auditability for AI interactions

Fortanix Armet AI lets you adopt AI without losing control of your data. Want to see how it fits into your existing stack? Book a demo or talk to our team today.