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The business case for IAM and the cost of identity friction

RL

Roby Liebbe

Co-Founder & CEO

9 min read

March 4, 2026

The business case for IAM and the cost of identity friction

Every major business and technology initiative runs through identity, from cloud modernization to AI agents, through M&A integration. It’s this reason why IAM needs a business case, not a tooling case.

That sounds obvious until you watch how most IAM programs get funded. A breach story hits too close to home. An audit finding escalates. A business leader asks why onboarding still takes days. The organization reacts, buys a platform, and measures success by whether access is “secured.” Necessary, yes. Sufficient, no.

Security alone doesn’t make IAM durable. In 2026, identity is where risk and throughput meet, and you feel the consequences in both directions. Industry research puts the volume at 600 million identity attacks per day, with password-based attacks representing more than 99% of that activity. Separate breach analysis reinforces how often identity is the entry point. In common web application attack patterns, about 88% of breaches involve stolen credentials. When credentials are the front door, IAM becomes part of business resilience, not just security posture.

That sets up the real executive question. Are you investing in IAM as a control you can point to, or as an operating capability that keeps the company moving without increasing exposure?

The dual IAM mandate most enterprises accidentally break

IAM has two jobs that need to be funded together. The first is to ensure access is secure, appropriate, and continuously governed. The second is to make access flow so people and systems can do work without waiting on tickets, chasing approvals, or learning the unwritten rules of each application.

Most enterprises over-optimize for the governance half and under-invest in flow. That’s why IAM often becomes a friction layer even when the security boxes are checked. Approval chains mirror org charts. Exceptions become permanent. Teams route around the process when deadlines hit, then security tightens controls in response. The program becomes a loop of friction and workarounds.

The way out is not another tool. It is a mindset shift. Your internal access experience should get the same care you would apply to a client-facing product. Reliability matters. Clarity matters. Speed matters. When access is unpredictable, people over-request. When it is slow, they hoard entitlements. When it varies by application, adoption stalls. Those behaviors are rational responses to a system that was not designed as a service.

Once you realize the need to evolve beyond a governance-only mentality, the business case becomes much easier to build because it moves from “security spend” to measurable operating outcomes.

Where IAM shows up as business performance

The best IAM outcomes are the ones the organization can feel, not just what looks good on a leadership dashboard.

Workforce onboarding is the most visible. When HR events drive provisioning and birthright access matches how roles actually operate, new employees and contractors can be productive on Day 1. That doesn’t just reduce ticket volume. It reduces the hidden cost of expensive talent waiting on access and managers escalating access like it is a special favor.

Audit readiness is the next. Mature programs stop treating audits as episodic events and start treating evidence as an operational artifact. Controls stay repeatable. Attestations are routine. The biggest win is not only fewer findings. It is fewer weeks of senior teams pulled out of delivery mode to reconcile spreadsheets and screenshots.

M&A integration is less frequent, but it is high leverage. Federated identities and standardized access models allow acquired users to get productive quickly without creating a permanent exception layer. If acquisitions are part of your growth model, you don’t want bespoke identity integration every time. You want an integration playbook that holds up after the first wave of cutover.

Modernization is where the compounding effect shows up. The limiter is rarely the IAM platform itself. It is the architecture and onboarding approach. When every application requires custom provisioning logic, custom approval paths, and one-off role translation, you cap how many apps you can onboard each year. That becomes a silent bottleneck for cloud programs, SaaS rationalization, and zero trust adoption.

If this section sounds like operations, that is the point. IAM is an operational system that happens to have security outcomes.

The hidden cost centers that make IAM look expensive

Most identity and security leaders have heard the “breach cost math” spiel provided by new security AEs enough times, so I will not repeat it here. The more frustrating reality is the shadow costs that hit budgets and timelines without ever being labeled “IAM.”

Application teams back-charge time just to explain how their permissions work. That is often an ownership and documentation failure, but IAM inherits it and absorbs the cost. This is one reason IAM teams end up in endless discovery cycles that feel like progress but never scale coverage.

Approval bottlenecks create idle time that compounds. When access requests stall, expensive talent waits. Multiply a modest delay across engineers, analysts, and contractors and you have a real cost center that rarely appears cleanly in budgets, yet shows up as missed deadlines and frustrated leaders.

Password resets are a simple example of friction becoming spend. In many environments, password-related issues still represent a large share of help desk volume, and a blended estimate that includes agent time plus employee downtime lands around $35 per reset. Even if your internal cost varies, the pattern is consistent. Password-heavy environments turn small interruptions into meaningful annual waste.

Then comes rework. When applications are onboarded incorrectly the first time, they get retrofitted later into SSO, provisioning, or governance. You pay twice for the same work, usually when the company has the least capacity.

Finally, there is overprovisioning and license waste. Inconsistent offboarding leaves accounts active, entitlements lingering, and SaaS licenses still assigned. Finance teams can try to claw this back downstream, but the root cause sits upstream in lifecycle automation and entitlement hygiene.

These are the costs that make leaders conclude IAM is expensive, even when the budget line is not large.

Why resourcing is the real IAM lever

By the time an IAM program feels expensive, it usually isn’t because of the platform line item. It’s because the work is moving slowly, inconsistently, and with too much rework. That almost always traces back to resourcing, but not in the way most leaders assume.

The most common failure mode is not understaffing. It’s staffing for volume instead of capability. Identity is a specialized discipline, and adding more junior or generalist resources rarely increases throughput in a straight line. It increases coordination cost, design inconsistency, and defect rates, and those show up later as exceptions, outages, and retrofits.

This matches what broader workforce research is surfacing. In a 2025 cybersecurity workforce study, respondents were more concerned about critical skill needs than staffing numbers, and 88% said they had experienced at least one significant consequence because of a skills shortage. In that same study, 35% cited IAM as a highly topical skills need, which tracks with what many enterprises are living through as access and authentication failures that keep showing up in real incidents.

A simple analogy holds. If you want excellent coffee, you don’t buy an army of cheap coffee makers. You buy the right machine for someone who knows how to use it. IAM works the same way. A smaller team of strong practitioners, supported by clear standards and repeatable patterns, tends to produce a cheaper and more productive program over time because it reduces rework and exceptions.

This matters even more as identity becomes the enforcement layer for modern access models. Widely adopted zero trust guidance frames access decisions as a control plane the rest of the enterprise depends on. If that decision layer is brittle or inconsistent, the business pays for it in outages, stalled initiatives, and a steady accumulation of exceptions that quietly become permanent.

Where ROI lands first and what “good” looks like

There is no universal ordering, but the sequence is usually obvious once you look at where tickets and delays pile up.

SSO is still table stakes. If broad SSO is not in place, you’re carrying avoidable friction and support volume, and you’re operating like the organization is smaller than it is.

Lifecycle automation is the next lever most teams under-invest in. Tight coupling between HR events and access changes reduces orphan accounts, removes stale access, and prevents cleanup work that always costs more later.

Governance delivers a return when evidence becomes routine. Reviews and SoD controls stop being periodic chaos and start being operations. The tool helps, but the real reward is clean documentation, clear ownership, and a workflow that does not depend on heroics.

Non-human identities are now the compounding risk. Machine identities don’t behave like human users, and they scale faster than your headcount. Machine identities can outnumber human identities by more than 80 to 1 as automation expands. This is where the “flow” mindset matters again. Standardize creation of any net-new machine identity or agent identity. Make vaulting, rotation, and least-privilege provisioning the default. Build observability to hunt for the legacy accounts that already exist. In practice, this is how you stop discovering service accounts after the fact and start producing them through a governed factory.

If your IGA source is clean, you can take it further. You can integrate governance data into detection workflows and tools so identity context improves your overall cyber ecosystem. That is how IAM stops being a silo and starts becoming a signal.

Building the business case for IAM in 2026

The business case for IAM has to be written differently than ever before. You are not funding “more identity work.” You are funding a capability that determines whether the company can modernize quickly, integrate acquisitions cleanly, and expand automation without creating a parallel surge in access risk. When identity becomes the gatekeeper for speed, resourcing stops being an HR topic and becomes an executive decision about delivery risk.

If you want to pressure-test your IAM resourcing model and build a business case that will hold up at the board level, Palyrian can help. Schedule a no-cost working session with our team to identify your highest-cost friction points, pinpoint where specialization will cut rework, and lay out a phased plan that delivers measurable wins in 90 days while setting you up for durable run-state operations.