Seemplicity + Miggo: Runtime Detection, Closed Risk

80% of cyber incidents happen in the application layer, and most of them never trip a traditional sensor. EDR watches endpoints, WAFs watch traffic at the edge, and CNAPP watches cloud configuration. None of them watch what an application actually does once a request is inside it, which is exactly where attackers have learned to operate: manipulating flows between services, abusing business logic, and moving through the gaps between trust boundaries that no single tool was built to see.

Miggo Security closes that blind spot. Its Application Detection and Response (ADR) platform uses DeepTracing™ and eBPF to map how applications actually behave at runtime, agentlessly, so it can flag the moment real behavior deviates from intended behavior instead of guessing from logs after the fact.

Through a direct integration between the two platforms, Miggo’s runtime detections flow straight into Seemplicity, correlated with everything else Seemplicity already tracks and routed to whoever owns the fix. From there, teams can point their AI Analysts at any of those findings for deeper, evidence-based investigation.

What Seemplicity Brings to Every Finding

Before a Miggo detection ever arrives, Seemplicity is already tracking all the other vulnerabilities and exposures across the stack: cloud, code, identity, ready for a team to bring its AI Analysts in wherever they’re needed. It aggregates and normalizes findings from across every connected tool, so a team can then point its AI Analysts at them for independent, evidence-based investigation. Teams running Seemplicity have reduced backlog volume by as much as 90% by collapsing related findings into single root-cause fixes. Seemplicity’s conversational assistant, Seema, lets teams query posture and get instant answers instead of building reports by hand, and every remediation gets tracked through to audit-ready proof of closure.

Miggo: Runtime Truth Behind Every Finding

A finding based on static analysis or a config snapshot is a guess about what could happen. A finding based on runtime behavior is a record of what did happen, or what an application is actually exposed to right now. That’s the distinction Miggo is built around: instead of inferring risk from code or infrastructure alone, it observes live application behavior directly, mapping service-to-service flows, data movement, and execution paths as they actually occur in production.

When that behavior deviates from an established baseline, whether that’s an injection attempt, an abused API call, or a flow that skips an intended trust boundary, Miggo surfaces it with the runtime context attached: which service was involved, what the deviation looked like, and how it differs from normal behavior.

From Two Systems to One Workflow

Setup is built to be lightweight: connect Miggo to Seemplicity with an API token, no custom code required. From there, Seemplicity pulls new detections, along with the runtime context Miggo attaches to each one, on a regular schedule.

Once the data is flowing, Miggo’s detections show up in the same queue as everything else, so application-layer findings sit side by side with cloud, code, and identity risk instead of living in a separate console with a separate owner. Context travels with the finding, so responders don’t have to jump back into Miggo just to understand what happened or why it matters. When Miggo and another connected source both touch the same asset or service, the signals merge into one finding instead of competing tickets. And any finding turns into a ticket in whatever ITSM or dev tool the team already uses, one click, SLA clock included.

Speed From Both Directions

Application attacks move fast precisely because they hide in the gap between tools. Miggo closes that gap at the source, detecting deviations the moment they happen, directly in the running application, and can act immediately when the response lives inside the application layer itself. When a fix needs a different team or a different tool, such as a code change or a service redesign, Seemplicity routes it there, cutting that handoff from days of manual triage to minutes.

None of that speed is worth much without context, though. An AI system that guesses at severity is just noise with better formatting. Because Miggo’s findings carry real runtime evidence, Seemplicity’s AI Analysts are reasoning over what an application actually did, not what it might theoretically be vulnerable to, and they weigh that alongside cloud, code, and identity signals before recommending or automating a fix.

Why It Matters

Attackers don’t stop at the edge, and they don’t wait for a scanner’s next cycle. They move through applications while they’re running, in the gaps between services that traditional tools were never built to watch. This integration puts a runtime lens on that gap and connects it directly to the workflow that actually closes findings out.

Miggo tells you exactly what happened inside your applications and where the deviation occurred. Seemplicity takes that finding and correlates it with everything already known about cloud, code, and identity, so it’s not just detected, it’s owned, tracked, and resolved.

For a security leader, that’s the whole point: one place to see what’s actually happening inside your applications, and one place where it gets fixed.

About the Companies

Seemplicity is an Agentic Exposure Action Platform that aggregates findings from every security and development tool, prioritizes them by real risk, and automatically routes and tracks remediation to closure.

Miggo Security is the first Application Detection and Response (ADR) platform, built to stop application breaches before they escalate. Using in-application runtime context via DeepTracing™ and eBPF, Miggo maps how applications actually operate, identifies high-risk flows, and delivers real-time detection and response directly in the application layer, agentlessly and without requiring code changes.

Ready to see application risk become closed risk? Talk to your Seemplicity or Miggo representative to enable the integration.