Key Takeaways

  • Manufacturers are facing identity sprawl across IT, OT, and cloud environments, creating new vulnerabilities.
  • Automated identity posture management and DSPM help organizations continuously validate access and reduce risk.
  • A practical use case shows how a mid-sized manufacturer improved visibility, tightened controls, and reduced exposure using an integrated approach.

The Challenge

Manufacturers are dealing with a strange and often uncomfortable shift. Identity—not devices, not perimeters—is becoming the primary attack surface. And for an industry built around physical processes and equipment, that shift hasn’t been easy to absorb.

It’s not hard to see why. Production systems that used to be isolated now talk to cloud analytics engines. Contractors cycle in and out of access roles. OT engineers accumulate privileges because removing them feels risky. Even service accounts multiply quietly in the background. A surprising number of security leaders admit they don’t really know which identities can get to what data inside their environment. They only know the risk is growing.

Why now? Because attackers have figured out that identity gaps are easier to exploit than hardened OT equipment. Compromising a single overprivileged account can give them a path into manufacturing execution systems or sensitive IP repositories. You don’t need a PLC vulnerability when a misconfigured identity can get you in the door.

Here’s the thing: most manufacturing organizations never designed their identity programs around dynamic, interconnected environments. They built access models for a different era. And so, buyers evaluating modern security strategies are increasingly looking at tools that help them understand their identity posture holistically—across data, applications, OT systems, and cloud workloads.

Identity Posture Management has moved from a niche concern to a practical necessity.

The Approach

When CISOs in manufacturing start exploring solutions, their mindset usually follows a familiar pattern. First, they look for visibility. They want a single view into who has access to what—because without that, no amount of tightening controls matters.

Then they turn their attention to automation. Manual reviews don’t scale, especially when hundreds of machines, engineers, and vendors all depend on timely access to keep production moving. Automated Data Security Posture Management (DSPM), AI-driven threat detection, and identity hygiene monitoring are becoming the baseline.

And yes, buyers are also thinking about integration. Identity posture tools must connect with existing identity providers, manufacturing systems, and data repositories without slowing production or causing unnecessary friction. That can be a tall order.

Platforms like Varonis tend to come up in these conversations because they offer a unified view of identities and data, though each organization ultimately needs to validate what fits their own environment. The broader trend, though, is clear: manufacturing security teams want fewer blind spots and more continuous, automated correction.

Not every team starts with grand ambitions. Some simply want to understand where their biggest exposures are. Others aim to eliminate dormant accounts. A few want end-to-end automation. The trajectory varies, even if the destination looks similar.

The Implementation

Consider a mid-sized industrial equipment manufacturer navigating this transition. Their environment wasn’t messy by design—it just grew that way. Over the years, the company added cloud analytics to optimize production cycles, adopted remote monitoring tools for field service, and onboarded multiple external contractors for specialized equipment maintenance.

As the IT director described it, “We had hundreds of identities with OT access but no real picture of why they needed it.” And that’s common.

The implementation started with an identity posture assessment to map users, service accounts, machine identities, and their entitlements across both IT and OT systems. Some of the findings were expected. Others were… surprising. For example, a service account created five years earlier still held broad access to production data although the system it supported had long been retired.

Once the assessment wrapped, the team moved on to automating key controls. They used DSPM capabilities to classify and analyze sensitive data in shared environments. AI-driven analysis flagged unusual identity-to-data relationships. Access that didn’t seem to match job functions surfaced quickly.

A small tangent here—many manufacturers worry that changes might interrupt production. It’s a valid fear. But this team learned that remediating identity issues in a staged approach minimized operational risk. They tested access removals in controlled windows, monitored for impacts, and only then pushed broader changes.

The identity posture tools integrated with their identity provider and ticketing system so risky privileges could be corrected with little manual effort. Over time, identity cleanup went from a months-long project to a steady, automated process.

The Results

While the manufacturer didn’t measure everything quantitatively, the improvements were tangible.

They gained clearer visibility into how human and non-human identities interacted with critical systems. Dormant accounts were reduced significantly. Access tied to sensitive production data became cleaner and more aligned with job roles. And when a contractor’s compromised credentials were later detected, AI-based identity monitoring helped catch the anomaly early before damage occurred.

Operations didn’t slow down; in fact, the security team reported fewer emergency access issues because privileges were finally right-sized. And audits, which used to be stressful marathons, became more predictable.

Sometimes the “result” is simply confidence—confidence that identity and data exposure are no longer mysteries waiting for an attacker to discover first.

Lessons Learned

A few insights surfaced from this journey:

  • Visibility is the real unlock. Without it, identity discussions devolve into guesswork.
  • Manufacturers should treat OT identities with the same scrutiny as IT access, even if the systems feel different.
  • Automation matters more than most teams expect. Once identity posture work becomes continuous, not episodic, risk drops fast.
  • Data context helps prioritize. Knowing which identities could reach sensitive IP or production datasets changes the conversation.
  • Start small, but not too small. A narrow pilot builds momentum, but identity posture management works best when applied across the environment, not in isolated pockets.

The move toward identity-centric security in manufacturing isn’t slowing down. If anything, it’s accelerating as production systems become more connected and more dependent on data. Organizations that take steps now—whether through DSPM, AI-powered detection, or integrated identity posture management—set themselves up for a more resilient future.