The way we work has fundamentally changed. SaaS applications now sit at the center of every business, powering collaboration, productivity, and growth. But as SaaS ecosystems expand, so do the threats targeting them - and those threats are evolving faster than traditional security controls can keep up.
Static alerts, built on rigid rules and single events, are no longer enough. New SaaS behaviors emerge constantly, driven by humans, bots, contractors, integrations, and automation. Without a deep understanding of how users normally behave - and how that behavior changes over time - security teams are left drowning in alerts that lack relevance, accuracy, and context.
To detect real risk, systems must go beyond surface-level signals. They need to understand behavior at a granular level, across both human and non-human identities, and adapt as the business evolves.
At the same time, no two organizations operate the same way. What’s risky for one company may be perfectly normal for another. While out-of-the-box alerts are a great starting point, security teams need the flexibility to customize and create alerts that reflect their unique business models, workflows, and risk tolerance.
And finally, every alert - no matter how sophisticated - must come with deep context. Without context, alerts are just noise. With context, they become actionable.
Introducing AI-Powered Alerts Built for Real SaaS Risk
That’s exactly why we’re expanding our alerts catalogue into a fully AI-powered system designed to help organizations pinpoint SaaS risk through a powerful combination of context and content.
These alerts are not static rules frozen in time. They continuously learn your environment, your users, and your system behaviors - leveraging your feedback and real-world activity to become more accurate over time.
Instead of reacting to isolated events, our alerts focus on patterns, intent, and risk progression. The result? Fewer false positives, richer insights, and alerts you can actually act on.
What Makes These Alerts Different?
They learn over time.
Our alerts adapt to how your organization operates. As user behavior evolves, so do the alerts - reducing noise while sharpening precision.
They detect total SaaS risk, not just sharing risk.
File sharing is only one piece of the puzzle. We look at the full SaaS attack surface, across identities, access, activity, and posture.
They enable near real-time remediation.
Detection without response isn’t enough. When risk is identified, teams can remediate immediately - before damage is done.
They are fully customizable.
You can create custom alerts tailored to your business-specific risks, ensuring that nothing slips through the cracks simply because it doesn’t fit a generic rule.
Real-World Examples of AI-Powered Alerts
To understand the power of context-driven alerts, let’s look at a few examples:
File Shared with a Terminated Employee’s Personal Email
Employees often retain access to files shared with their personal email - even after leaving the company. Traditional tools struggle to identify this risk because they lack employment context and cross-SaaS visibility.
With AI-powered alerts, the system understands who the user was, how the file was shared, and why that access is now risky - surfacing an alert that actually matters.
Sensitive File Copied by an External User
Once sensitive data is shared externally, visibility often stops. But the risk doesn’t.
Is that contractor copying files locally? Are they accessing data outside normal working hours? Are they also affiliated with another organization - or even a competitor?
By tracking external user behavior over time, our alerts can identify when legitimate access turns into potential data exfiltration.
Risky Login Activity Detected Through an Admin Console
Account takeovers - human or non-human - remain one of the most common ways attackers infiltrate SaaS environments.
Rather than flagging every unusual login, AI-powered alerts analyze login behavior in context: device history, access patterns, privilege levels, and subsequent actions. This makes it possible to distinguish between a harmless anomaly and a true compromise.
And these are just a few examples. There are many more.
The Real Breakthrough: Context and Continuous Learning
The key to all of this is context and learning over time.
These alerts aren’t triggered by a single event. They track user behavior longitudinally, building an understanding of what’s normal, what’s changing, and what’s truly risky. This ensures you can pinpoint threats early - before they escalate into incidents.
In short, it’s not about reacting faster. It’s about reacting smarter.
Why DoControl
We built these alerts around one core principle: security teams deserve clarity, not chaos. DoControl is uniquely positioned to deliver on this promise because we already have deep, built-in context across our customers’ environments. Through native integrations with SaaS collaboration platforms like Google Workspace and Slack - combined with complementary HRIS and IdP integrations - we understand not just what happened, but who was involved and why it matters.
With a strong alerting foundation already in place, expanding into adaptive, AI-powered alerts was a natural evolution - allowing us to deliver exactly what the market has been missing.
- Cross-SaaS visibility eliminates exposure blind spots across the entire SaaS stack.
- Advanced AI enriched with business context ensures alerts are precise, actionable, and never noisy.
- Customer-driven innovation means we alert on real-world pain points - because our customers trust us and actively help shape what we build.
What’s Next
AI-powered alerts are now available for all POVs and existing customers.
The best way to understand the impact is to experience it firsthand - so try it out, customize it to your business, and see how context-driven alerts change the way you manage SaaS risk.
Static alerts belong to the past. Adaptive, intelligent SaaS security is here.
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