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Today’s digital enterprises are leaning harder than ever on SaaS and AI. Whether it’s data-driven marketing, smarter sales analytics, rapid product experimentation, or agile finance teams, the glue is almost always a third-party platform. But with this rapid adoption, a critical blind spot has emerged: the majority of access to these applications lives entirely out of sight from IT leaders and security teams.
According to CloudEagle’s IGA Report, 70% of CIOs flag AI tools as a top security concern, and 48% of former employees retain access to corporate systems months after departure.
In a recent CloudEagle webinar, we explored one of the most pressing challenges facing IT teams today: 60% Invisible – The Hidden Access Crisis in SaaS and AI Environments.
This is not a hypothetical threat. Below is a practical breakdown of why hidden access has become a new boardroom risk, what’s driving it, and most importantly, how leading teams are tackling it with measurable results.
This blog explores the hidden access crisis through four lenses:
- Challenges & Consequences of Shadow AI and Access Sprawl
- Why IT Teams Must Focus on Hidden Access
- How Modern Enterprises Can Overcome These Risks
- Barriers to Adoption & Cost of Delay
1. Challenges & Consequences of Shadow AI and Access Sprawl
The Hidden Landscape of SaaS & AI Adoption
The popularity of SaaS isn’t new, but generative AI and agent-based automation have quietly taken the problem to new heights. Individual business units often sign up for these tools directly, sometimes on credit cards, sometimes through freemium offers. Often sidestepping traditional procurement, IT reviews, or security processes. What starts as simple experimentation eventually snowballs into hundreds of unmanaged applications.
Cledara reported that 65% of active SaaS tools are unsanctioned, yet account for nearly 80% of overall usage . Most leaders severely underestimate how much activity happens in the “network shadows.” This missing visibility has real costs.
Security & Compliance Risks
When applications spin up without oversight, they introduce shadow access vectors. accounts that may remain active after employees leave, API keys left unmanaged, or agents operating under privileged credentials. These blind spots create an attack surface that eludes traditional security tools.
“The statistic that 60% of SaaS apps are invisible to IT reflects a common reality. For years, IT teams have been overwhelmed and often perceived as too slow.”
– Lenin Gali, Atomic Work
Because these tools often aren’t subject to normal security reviews, they may lack approval, encryption, audit logging, or least-privilege configurations. Compliance frameworks (GDPR, SOX, NIS2) expect full visibility, but organizations operating with hidden access struggle to demonstrate control.
Financial Waste & License Explosion
Unmonitored tools leads to duplicates, low usage licenses, renewals nobody needs. Business units often overprovision or abandon tools without IT’s knowledge. Moreover, SaaS vendors frequently increase rates, add features, or penalize idle licenses. Multiply that across dozens of hidden tools, and the waste compounds.
Even Gartner has warned that the subscription model inherent to SaaS makes spending creep “invisible” until bills arrive.
Reactive IT & Operational Chaos
Rather than proactively managing software portfolios, IT becomes a detective, constantly scanning, auditing, and trying to catch up. This results in delayed remediation, unresolved risks, and patchwork visibility.
“Shadow IT is not a new problem, but the pace of change in the last 12 to 18 months is alarming. In the past, 20 to 30% of IT spend was unaccounted for. Today, we are seeing much higher numbers.”
– Titus, Everest Group
2. Why IT Teams Must Focus on Hidden Access
The Access Problem: Lingering Privileges & Exfiltration Risks
A core concern isn’t just that the applications are hidden, it’s that access to them persists, often with elevated permissions. According to CloudEagle’s IGA Report, 48% of former employees still retain access to tools long after offboarding.
“48% is a number that should keep every CIO and CISO awake at night. You are just one breach away.”
– Lenin Gali
Common scenarios include:
- Apps bought via personal credit cards remain active after someone leaves
- Credentials tied to personal or secondary emails are never deactivated
- Access paths bypass central identity systems (SSO), so offboarding processes don’t catch them
“If a privileged account continues to exist after role changes or departures, the exposure is magnified.”
– Titus
This is not just an administrative oversight, it's a systemic governance failure. Attackers increasingly target identity and privilege-based breaches rather than system exploits.
Identity & IAM Systems Falling Short
Traditional IAM (Identity & Access Management) tools were built for monolithic, on-prem environments. They assume provisioning is coupling through central controls. In today’s environment, where new SaaS or AI tools emerge daily and often sit outside SSO or IAM pipelines, those systems can’t keep pace.
“Traditional IAM systems were never designed to handle the explosion of SaaS and AI tools. New applications are appearing every few days … but they still create risk.”
– Lenin Gali
Supporting this, a recent industry perception study found that 41% of security professionals believe cloud IAM solutions expose new vulnerabilities, particularly around permissions and misconfigurations. arXiv
Further, research from the IDS Alliance shows that less than 9% of organizations deploy IGA purely in SaaS environments, while over half operate in hybrid modes—exposing gaps in cross-layer governance. Identity Defined Security Alliance
The Human-Machine Identity Blur
Modern enterprises are witnessing deeper integration of machine identities like APIs, agents, AI models, that interact alongside human users. A recent academic paper argues that identity governance must treat human and non-human identities as a continuum. Their unified model helped reduce identity-related incidents by 47% in studied environments. arXiv
In other words, hidden access isn’t just about people, it’s about agents, scripts, bots, and injected AI environments that need the same governance rigor.
3. How Modern Enterprises Can Overcome These Risks
Discovery as Foundation
You cannot govern what you cannot see. The first step is automated, continuous discovery of all SaaS, AI, and application endpoints, whether sanctioned or unsanctioned.
Organizations often rely on financial records, network traffic, browser extensions, and API scans to detect hidden apps. For example, Flexera’s 2025 Cloud Report emphasizes the necessity of combining multiple discovery methods to unearth shadow IT and mitigate risks. Flexera
CloudEagle’s Discover capabilities are designed exactly for this: surfacing unsanctioned applications, usage trends, department-level spend, and credit card purchases.
AI-Driven Governance & Continuous Controls
Once visibility is established, the next step is to move from reactive to continuous governance. That means embedding controls, policies, and automated workflows that can provision, deprovision, review, and revoke access without human bottlenecks.
A modern IGA solution must incorporate:
- AI-driven decision support (not just rules)
- Real-time enforcement & alerts
- Federated ownership (business units empowered)
- Event-driven architecture (via APIs & webhooks)
- Zero-trust principles for all identities
In the webinar, the panelists pointed out that traditional IGA tools, which rely on batch processing and manual certification, can’t keep up with the fast growth of SaaS and AI.
“We are entering a continuous risk environment. Traditional governance policies operate periodically, but risk in SaaS and AI is constant.”
– Titus
Life-Cycle Governance & Just-in-Time Access
A critical design principle: least privilege access with just-in-time (JIT) allocation. Rather than granting broad access indefinitely, tools should allow ephemeral sessions limited to necessary windows.
CloudEagle’s IGA Report revealed that only 15% of companies have implemented JIT access controls today. By coupling usage insight with automated revocation, organizations can dramatically reduce exposure without crippling flexibility.
Optimization, License Harvesting & Renewals
Governance should not be a cost center, it should recover value. Hidden subscriptions and unused licenses can often be reclaimed or consolidated. Enterprises that overlay governance into renewal cycles can avoid paying for unused or redundant tools.
Leverage benchmarking (comparing against peer organizations) and usage intelligence to decide which tools to renew, cancel, or renegotiate. The Renew pillar enables that risk-aware renewal process.
- Cultural Shift & Federated Accountability
Finally, governance is not a technology problem, it’s a human problem. Business units must share accountability. Security must embed into operations. Governance needs to surface in day-to-day decisions, not just quarterly audits.
As panelist Lenin Gali noted:
“Sometimes the best approach is to remove access and see if anyone requests it back. This quickly reveals what is truly essential.”
– Lenin Gali
Governance becomes a shared cultural norm, not a friction point.
4. Barriers to Adoption & Cost of Delay
Trust & Explainability of AI Governance
Many enterprises are suspicious of claims like “AI-powered governance.” The fear: hidden heuristics, lack of auditability, false positives, or black-box decisions.
“Many vendors claim to be ‘AI-powered’ but, in reality, are repackaging RPA or using minimal machine learning. This ‘AI washing’ creates distrust.”
– Titus
Breaking through requires transparency, exposing confidence scores, explainable logic, and clear audit trails. The vendors who win are those who can prove how AI arrives at decisions, not just claim it.
Procedural & Organizational Maturity
Organizations often lack mature processes around access policies, governance definitions, and ownership structures. Deploying automation into a chaotic process amplifies mistakes.
Titus mentioned that the biggest barrier is process itself, manual reviews, redundant cycles, and lack of clarity on how governance should integrate.
Cost of Waiting
In the webinar, Titus shared a powerful benchmark:
“In a benchmarking exercise we conducted, we found that for every $1 not spent on identity governance, enterprises incurred $8 to $10 in breach-related costs.”
– Titus
The implications are stark: deferring governance often leads to exponential costs in breach recovery, regulatory fines, reputational damage, and remedial remediations.
Consider that IBM and other industry reports put average data breach costs at multi-million-dollar figures, shadow access increases the probability and impact of those incidents.
Moreover, the longer hidden access persists, the harder it becomes to retrofit controls, clean up entitlements, and restore trust.
Conclusion
The hidden access crisis is no longer theoretical, it’s happening now in every enterprise. With 60% of SaaS applications reportedly invisible to IT, and AI tools accelerating adoption without governance, traditional IAM systems cannot keep pace.
We need a new paradigm: continuous, AI-driven identity governance across human and non-human identities. Organizations must adopt:
- Discovery-first visibility
- Automated, continuous governance
- Just-in-time access & lifecycle control
- Optimization & renewal intelligence
- Governance as culture
CloudEagle empowers enterprises across its four pillars, Discover, Govern, Renew, and Optimize, to transcend reactive IAM and build future-ready governance.
“The statistic that 60% of SaaS apps are invisible to IT and business units have been overwhelmed and often perceived as too slow.”
– Lenin Gali
The question now: will your organization wait until a breach forces action, or will you lead the transition to proactive identity governance? Dive into the IGA Report or watch the webinar replay to see how your team can start today.
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