AI is everywhere, and people across your organization are most likely already using it to write code, triage alerts, answer emails, and chat with sales prospects. Now, AI is making its way into the heart of identity security.
That sounds like great news for teams that need to do more with less—until the questions start rolling in:
Can we trust it?
How do we secure it?
Who is using it, and what are they using it for?
Is it aligned with our privacy policies and compliance requirements?
If you're an IT, security, or compliance leader in an organization using AI, you may wonder what's real, what's hype, and what helps. This blog breaks it down into simple, practical terms with no jargon or black boxes.
Let's demystify AI by looking at three things: how to secure AI used in your identity security strategy, how to secure with AI, and how to measure the impact of AI on your business and security goals.
Oh—and we'll tackle the three big questions that every security leader should be asking about AI.
Securing AI: Think like a sysadmin
Don't overcomplicate it: before you let AI help secure your IT environment, you need to secure it first.
AI tools, including copilots, bots, or scripts, are machine identities. They use credentials, access sensitive systems, and make decisions, leveraging the access they are granted. If left unchecked, they become a security blind spot just like any other unmonitored and unmanaged identity.
Treat them like you would any other privileged machine identity (with a bit of extra care, of course):
- Vault AI credentials: This means no hard-coded secrets ( this one should go without saying, by the way) and no unmanaged tokens. Vault and rotate access keys, API tokens, and service credentials like you would for a server, business, or admin account.
- Right-size AI access: Your AI doesn't need the keys to the kingdom. Limit its scope. Least privilege should still apply, across all AI/machine identities.
- Secure the infrastructure: If your AI workloads are running in the cloud, make sure those environments are managed with granular, policy-based access controls, monitoring, and layers of security for defense-in-depth
- Discover shadow AI: Got rogue tools (and you know you do) popping up from curious developers or users using unsanctioned tools, off the radar of IT review? You're not alone. Use discovery to find unsanctioned AI usage and bring it under control.
Bottom line: Treat AI like a high-powered machine identity with a brain. Because it is.
Securing with AI: Let AI do the heavy lifting
Next, let's look at AI from a different angle. Once your AI is secure, you can consider how it can help secure identities, systems, and data. AI is a game-changer for identity security. Traditional access control relies on manual approvals and static rules that can't keep up with today's dynamic, fast-paced, and complex environments. AI, instead, can adapt on the fly and at digital speed (this means it works faster than normal humans).
Here's how AI controls can work when done right:
- AI evaluates context, including user behavior, device, location, time, and workload sensitivity—all in real-time
- AI automatically triages access requests, allowing low-risk requests to be approved and escalating (or blocking) high-risk ones with evidence to back up decisions
- AI enforces least-standing privilege dynamically, without you lifting a finger
Imagine an intelligent, automated system that knows Bob from Finance always logs in from Cleveland between 8 AM and 5 PM. Let’s say Bob logs in today from a new device in Berlin at midnight and is asking for access to sensitive HR data. AI spots the anomaly, evaluates the risk, business justification, permissions, device, intent, for example, and makes the call to block or approve his access instantly.
No waiting for manual approvals. No risky over-permissioned or over-privileged identities.
And, if you use a self-hosted large language model (LLM), you gain even more. Unlike third-party AI services, a self-contained model keeps your data where it belongs—inside your environment. That approach improves accuracy, increases privacy, and ensures you remain compliant with company policies and industry or regulatory requirements. It all remains in your hands and transparent while still working in real-time within your tech stack to improve security.
Quantifiable AI: Show me the numbers
Let's be honest: IT and security teams don't have time for marketing hype, empty promises, or complexity in proving ROI on any tech stack investment. You want proof, and your leadership team wants proof before trusting AI with sensitive processes and data.
Good news! When AI security is done right, the outcome is measurable.
You can expect:
- Fewer manual approvals clogging up your team's day
- Faster time-to-access for low-risk users
- Significant reductions in over-provisioned accounts and forgotten entitlements
- Simplified audit trails that basically write themselves (OK, a little marketing hype—I couldn't resist) with evidence-based authorization decisions
And maybe most importantly, you can show leadership, the board, or auditors exactly how and why each access decision was made with evidence documented for every request, every time. Think of the ‘Bob’ example above—you can easily see the evidence that clearly shows how and why the decision to block or allow was made. That's the kind of transparency you should expect when securing AI and securing with AI.
We did not forget about the top AI questions
Here are the top three questions security leaders ask about AI in identity security and the answers.
Can I trust AI to make real-time access decisions?
Absolutely—if it's explainable and you control the guardrails. Look for platforms that show you the 'why' behind every decision and give you the option to intervene or override when needed.
How does AI help with compliance?
By enforcing least privilege and documenting every decision, AI makes access reviews and audits easier. No more spreadsheets. No more scrambling to pull and aggregate data.
What makes AI different from regular automation?
This is a good one! Traditional automation follows the rules you set, often with a singular focus, and cannot adapt or adjust without extensive human intervention. Agentic AI learns, adapts, and applies real-time context. It's like giving your access policies a brain and a risk radar.
There is no mystery here
AI doesn't have to be a black box you need to decrypt. When you understand how to secure it, use it, and measure it, it becomes one of the most powerful tools in your identity security strategy.
Whether you're tightening compliance, increasing security, reducing manual approvals, or just trying to lower your stress levels to get your weekends back, AI's got you covered—as long as you've got it covered.
We would love to show you how to leverage the tech stack you have today to secure your AI quickly and how Delinea’s cloud-native platform uses agentic AI to deliver secure, real-time access that checks all the compliance boxes.