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We’ve talked this week about how RAD turns signals into insight, and insight into action. Today, we want to talk about the kind of action that doesn’t usually get a spotlight: the kind that shows up in audits, policies, and shared drives labeled “Evidence.”
For every high-priority incident, there’s a long trail of GRC work behind the scenes. Controls need to be validated. Reports need to be assembled. Policies have to match frameworks, and frameworks have to match reality. A lot of that work is still done manually, with little connection to what the rest of the security team is doing.
That’s why we built the GRCBot: to close the security/GRC gap. GRCBot watches the live environment through the same telemetry that feeds the rest of the RAD platform and pairs each observation with the language of frameworks and contracts. The goal is straightforward: keep controls aligned with reality and keep evidence ready when questions arrive.
What GRCBot Can Do
GRCBot’s role is simple: keep the words on the page and the facts in the system lined up at all times. Here’s how that shows up in daily work.
Answer control questions in plain language.
Ask, “Show evidence for control 8.3,” or, “Which assets fall under our encryption-at-rest clause?” GRCBot locates the control, gathers the telemetry, and returns a clear answer with linked artifacts.
Turn documents into checkpoints.
Upload a framework, policy, or vendor contract. GRCBot scans each requirement and ties it to live data, producing a list of covered items, open gaps, and proof—ready before the first audit meeting starts.
Keep evidence attached to real activity.
When CloudBot validates a remediation or VulnBot confirms a patch, that event joins the record. GRCBot stores the timestamp, the control reference, and the evidence together, so the next inquiry can trace the path from finding to fix in one step.
Stay ready for the next question.
Controls drift and policies evolve, so GRCBot refreshes its checks continuously. When a requirement changes, the bot re-evaluates the environment and updates the evidence stack. Answers stay current even as the landscape shifts.
Because it’s built into the RAD system, GRCBot can see what the other RADBots do. Every validated finding, every policy fix, every remediation ticket—it’s all part of the record. So when someone asks for proof of enforcement, GRCBot already knows where to look. When it’s time to report, you’re not working backwards. When audit season hits, you’re not alone.
GRC work is core security work. It deserves the same kind of support: tools that understand what’s going on, show their work, and don’t drop the thread. We’re building for the people who do this work every day…and we’re just getting started.
Why It Works
GRCBot builds on the same runtime telemetry and insight engine that already drives CloudBot and VulnBot. Every signal that passes the RAD Reality Check, every remediation ticket created, and every policy change picked up by the platform enters the same evidence graph. GRCBot reads directly from that graph, so its answers reflect the current state of the environment rather than a snapshot taken days earlier.
Because the data model keeps controls, findings, and actions in one structure, GRCBot doesn’t need extra tagging or manual mapping. A control definition points to the relevant services; the services link to the detections and fixes; the fixes carry timestamps and artifacts. When GRCBot assembles a response, it follows those links, collects the supporting material, and cites each step along the way.
That traceability makes every answer self-verifying. Auditors see the control reference, the affected asset, the remediation event, and the proof—all in a single chain. Security engineers see the same view, so no one has to reconcile two versions of the truth.
Continuous telemetry keeps the picture fresh. As workloads move or policies evolve, new data flows into the graph, and GRCBot refreshes its mappings automatically. Evidence and status stay aligned without a separate reconciliation cycle, giving GRC teams reliable context whenever questions land.
Roadmap: What GRCBot Is Learning Next
Our immediate work focuses on keeping controls accurate as environments change. Upcoming releases will watch for compliance drift across SOC 2, ISO 27001, and contract clauses, then surface any shift the moment it happens. FedRAMP support is on deck as well: GRCBot will draft risk-adjustment language and back each statement with runtime reachability data. We’re adding SLA monitors that flag high-impact vulnerabilities before they become missed commitments, and we’re wiring board-ready reporting straight into the evidence graph. Each addition follows one goal—reduce the distance between requirement, observation, and proof.
GRCBot: Ready for the Next Ask. Evidence You Can See.
GRC teams already handle the hard part: knowing which questions matter and why. GRCBot’s job is to supply clear answers, grounded in the systems you oversee. We’re grateful for the feedback that shaped this launch and excited for the ideas that will shape the next milestones. If you spend your days turning policies into practice, we built this with you in mind, and we’re just getting started.
