DoControl’s 2026 Product Vision: Securing the SaaS Future

As we step into 2026, the pace of change in the enterprise isn’t just accelerating - it’s compounding. Every quarter brings a new wave: more SaaS adoption, more automation, and more AI embedded into daily work. The modern organization is becoming a living network of humans, apps, APIs, AI copilots, and autonomous agents moving data at the speed of intent.

That’s the promise. And it’s also the risk.

Security used to be about defining boundaries: the network perimeter, the corporate endpoint, the “approved” application list. But in a SaaS-first world, those boundaries are porous by default. Data lives in collaboration tools. Permissions sprawl across teams. Third-party apps connect with a click. And AI introduces a new variable: systems that don’t just access information - they act on it.

The uncomfortable truth is that innovation creates unknowns before it creates standards. Many of the risks we’ll face in 2026 won’t look like yesterday’s threats. 

Instead, they’ll look like an ordinary workflow: a new AI agent that gets broad access “just to test,” a contractor added to the wrong group, a sensitive folder shared externally in a hurry, a shadow app plugged into OAuth because it was faster than procurement.

This is the SaaS Security Gap: the distance between how fast organizations adopt modern tools vs. how fast the security team can understand, govern, and respond to the risk those tools introduce.

At DoControl, we believe SaaS security needs to evolve from static controls into a living system: continuously learning, continuously validating, and continuously reducing risk - without slowing the business down. Our 2026 product vision is built around that philosophy: security as enablement, powered by context, automation, and intelligent decision-making.

DoControl’s 2026 Innovation Roadmap

In 2026, we’re focused on four strategic product pillars. Together, they reflect where SaaS security is going - and what customers will need to stay ahead of it.

1) Leverage AI and Cross-SaaS Data as a Competitive Edge

Security teams are drowning in signals, but starving for clarity. The challenge isn’t a lack of data, it’s understanding that data in context: who is doing what, with what access, to which data, and whether that behavior makes sense for that user in relation to their role and behavioral baselines.

Our competitive advantage is an identity-first, cross-SaaS view of risk. We focus on how identities behave across applications, how permissions are actually used, and how access patterns evolve over time. This behavioral and contextual understanding is the foundation for everything we build.

AI is changing the nature of work - and it’s changing the nature of security. But the real opportunity isn’t AI for AI’s sake. It’s using AI to make security faster, smarter, and more scalable when human teams are already overwhelmed by volume and complexity.

In 2026, we’re investing deeply in two AI-driven directions:

AI-powered security understanding:

We’re using AI to continuously analyze identities, permissions, content sensitivity, and activity patterns across SaaS environments - detecting risky behavior, unusual access, and emerging threats in real time. By correlating behavioral analytics with contextual signals, we move beyond static events and raw alerts to deliver practical, prioritized risk insights teams can act on immediately.

Agentic AI in security workflows:

Beyond understanding risk, we’re introducing agentic AI that helps teams respond. “Agentic AI” means systems that can take guided actions - not just generate analysis. In a security context, that can look like:

• Investigating an anomaly across apps in seconds
• Proposing the best remediation path with clear reasoning
• Auto-containing risk based on policy guardrails (e.g., limiting access, revoking tokens, tightening sharing)

We’re building this with transparency and predictability at the core. Our vision isn’t a black box that “does security” - it’s an intelligent assistant that helps teams move faster while staying firmly in control.

This is where cross-SaaS data becomes a major advantage: attackers don’t operate in one app - and neither should defenders. The more connected your environment becomes, the more valuable identity-centric, cross-app intelligence is for detecting risk early and responding with confidence.

2) Strengthen Core Platform Capabilities as the Google Workspace Security Category Leader

Innovation only matters if it’s usable, reliable, and aligned with real customer needs.

In parallel to our big platform bets, 2026 is also about making DoControl even better at the fundamentals - the things our customers rely on every day. 

DoControl is trusted as a leader in Google Workspace security because we solve the problems teams face day in and day out - at scale, and in the real world. In 2026, we’re continuing to raise the bar in this category by going even deeper where our customers rely on us most, which includes:

• Data exposure: Preventing sensitive files from being unintentionally shared or accessed by the wrong audiences
• Misconfigurations: Identifying insecure settings, risky group structures, and hidden access paths
• Data classification: Understanding what’s sensitive at scale so teams can govern sharing and access intelligently
• Shadow apps and OAuth risk: Discovering and controlling the apps connected to your environment - and reducing token-based risk

These capabilities aren’t isolated features - they’re the backbone of our broader vision. We’ll continue expanding high-impact, real-world use cases that security teams face daily - with a focus on visibility, prioritization, and remediation that’s fast enough to match how people actually work in Google Workspace.

The point isn’t control for its own sake. The point is confident collaboration: enabling teams to move quickly in Google and outside of it, without inheriting hidden risks that only become obvious when it’s too late.

3) Unify and Expand Coverage, Where It Makes Sense

Enterprises don’t run on one SaaS app - they run on dozens (and often hundreds). Each one introduces its own configuration model, its own permission system, its own sharing patterns, and its own “gotchas.”

Modern SaaS environments are complex, but security platforms don’t need to be. Too often, teams are forced to juggle disconnected tools that each solve part of the problem, without a unified view of risk.

Our approach to expansion is intentional and focused.

Protecting SaaS data in Google Workspace remains our core; but at the same time, we’ve built leading capabilities in areas like misconfiguration management - where access, identity, and data exposure naturally intersect! In 2026, we’re bringing these domains together in a unified way, correlating data risk and misconfigurations into a centralized, actionable platform.

This isn’t about trying to secure everything. It’s about unifying what’s already interdependent so that security teams can:

• See risk across ALL their SaaS applications in one place
• Apply consistent automated policies and dynamic controls across environments
• Reduce time spent navigating fragmented tools
• Using automated remediation to close gaps

The outcome we’re driving toward? Security teams spend less time hunting for issues across disconnected consoles - and more time confidently reducing risk with clear prioritization and quick action.

We will continue to double down on Google Workspace, while thoughtfully expanding coverage across SaaS ecosystems where it meaningfully improves clarity, context, and response. The result is a platform that scales with your environment and protects your data - without sacrificing focus, depth, or human control.

Where This Is Heading: A New Security Operating Model

SaaS security is no longer a checklist. It’s not a quarterly audit exercise. And it’s not solved by a single category of tool.

In 2026, the winning security model will look more like this:

• Continuous visibility (not periodic reviews)
• Identity- and data-centric risk understanding (not app-by-app silos)
• Automated remediation (not manual ticket queues)
• AI-assisted investigation and response (not human-only scale)

The world is moving toward autonomous systems - and security has to keep up without turning into a blocker.

That’s the bet behind DoControl’s 2026 vision: we’re building a platform that helps organizations thrive in a SaaS- and AI-first era, by making security intelligent, continuous, and operationally real.

What Customers Can Expect in 2026

If we had to summarize what this roadmap means for customers in one line, it’s this:

More clarity, faster action, and stronger protection - across your SaaS environment, with AI as a force multiplier.

You’ll see DoControl continue to push into what SaaS security should be:

• Not reactive, but proactive
• Not noisy, but contextual
• Not siloed, but connected
• Not manual, but automated

We’re excited for what’s ahead - not because the future is predictable, but because we’re building the tools to make it manageable.

The risks may be evolving, but so is the opportunity: to build security systems that keep pace with innovation, and even accelerate it. That’s what we’re focused on in 2026 - and we can’t wait to bring it to life with our customers.

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