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A cloud environment never stops talking. Runtime sensors log process activity, posture scanners scan for drift across accounts, identity systems record role changes, and endpoint agents raise their own alerts.
Each stream arrives with useful detail and its own naming scheme, and the sheer mix can drown the story that matters most: what touched what, when, and with what impact. RAD’s new signal pipeline exists to hold that story together.
Every new integration—Wiz for misconfig findings, CrowdStrike for endpoint detections, Okta for identity events—feeds into the same evidence graph that powers CloudBot, VulnBot, and GRCBot. The pipeline keeps source tags and timestamps intact, so context stays visible while the volume grows. Teams gain a single place to see which findings connect, where real risk sits, and how far it reaches before they take the next step.
What Arrived Today
This morning’s release opens new doors into the pipeline. Qualys sends posture alerts the moment a cloud setting drifts. CrowdStrike adds endpoint detections that trace back to the container or node where they began. Okta contributes identity events—role assumptions, MFA challenges, session lifetimes—each time stamped and source-tagged.
Outbound paths grew as well: When a RADBot decides the next move, the ticket lands in Jira with evidence attached. ServiceNow receives change records that link straight to the original insight, so approvers see reason, impact, and recommended fix in one view. Slack threads carry the same context for teams who prefer chat over dashboards. Every new line of communication feeds the same evidence graph, keeping signals and actions in one continuous story while the stack keeps expanding.
How RADBots Read a Mixed Signal
A new alert lands from Wiz: a storage bucket switched to public-read. CloudBot checks runtime reachability and sees live traffic coming from an external IP. Seconds later, Okta logs that a support engineer assumed an elevated role tied to the same account. CrowdStrike follows with a host detection that flags unfamiliar binaries dropped a few minutes after the role switch.
Individually, the signals point in different directions. Together, they describe one unfolding issue: a bucket left open, external access confirmed, privileged session active, and new code running on the host that speaks to the bucket. RAD’s evidence graph lines those pieces up by shared resource and behavior. The moment the picture holds together, the system produces a single thread—root cause, blast radius, user context, and recommended fix already linked. The story makes it to the team before anyone needs to scroll three dashboards to find it.
One Issue, Many Touchpoints
A developer spins up a staging bucket for a quick test and forgets to lock it back down. Wiz sends the drift alert first. CloudBot sees the bucket serving live objects and flags the public path. Okta records a contractor stepping into an elevated role that can write to the bucket, and CrowdStrike observes a script fetching data from the same host.
RAD groups those notes into a single thread. The message shows the misconfig that opened the door, the identity that walked through it, and the host that copied data out. Blast radius maps the bucket’s contents, and GRCBot attaches the SOC 2 control that covers access restrictions. VulnBot suggests the least-privileged policy to close the gap, and a Jira ticket opens with every artifact linked—alert IDs, role logs, host hash, policy patch.
Minutes after the bucket drifts, the fix is in motion, and every step of the story is already documented for audit season.
Ready to See It Live?
The new integrations are switched on in the RAD sandbox right now. Drop in, connect one of the tools you already use, and watch how the first signal lands with its context already lined up. If your stack runs on something we haven’t covered yet, tell us—we’re lining up the next wave of sources now, and customer requests decide the order. Send your must-have tool our way; odds are good it’s already in discovery.
Tomorrow is the final day of LaunchWeek. We’ll close with something many teams have been waiting for: a look at how RAD tackles continuous compliance with live evidence. See you then.
