Runtime threat detection
Detection across control plane, identity, network, and workload activity as it happens, not on a scan cadence.
Posture scanning tells you how the cloud looked this morning. Attackers move in minutes. CDR watches the cloud as it runs, with a live model of identities, configurations, and reachability that turns a posture report into real-time detection and response.
Cloud security posture management finds the misconfiguration. It does not see the attacker who walks through it an hour later. A scan is a photograph. An attack is a film.
Posture tools have become a commodity, and they do useful work finding gaps. The forward problem is what happens between scans: a role assumed, a key leaked, a path opened to sensitive data. CDR keeps a living model of the cloud and watches it change in real time, so a risky sequence is caught as it unfolds and routed to the SOC to act on.
Posture management and CDR answer different questions. One tells you how the cloud is built. The other tells you what is happening in it right now.
CDR builds a stateful model of your cloud and watches all four at once, so a change in any one is weighed against the others to judge real reachability and impact.
Human, Machine, and Agent access, roles, and the privilege behind each.
How resources are built and exposed, drift included, across every account.
What can actually talk to what, and the paths that lead toward sensitive data.
Runtime behavior of containers, functions, and hosts as they execute.
CDR is delivered as a managed service on top of the cloud telemetry you already produce, with Security Analysts on watch and Human-In-Loop gates on any consequential action.
Detection across control plane, identity, network, and workload activity as it happens, not on a scan cadence.
Single events weighed against the live model, so a minor change on a path to sensitive data is treated as the risk it is.
Containment steps prepared and routed through a Human-In-Loop gate, so a risky session is cut without a 3am scramble.
One model across AWS, Azure, and Google Cloud, so detection does not stop at an account or provider boundary.
We ingest from your existing CSPM, CNAPP, and cloud logs, adding the live layer rather than replacing what you run.
Every detection and action carries a timeline and proof, packaged for audit and post-incident review.
CDR runs through the Guard and Implement motions of VIGILE, hardening the cloud and then operating the live detection on top of it. Its signals feed the iTDC, so the cloud is watched alongside everything else the SOC sees.
See the Autonomous SOC ›CSPM and CNAPP assess how your cloud is built and find misconfigurations, largely on a scan cadence. CDR adds the runtime layer: it keeps a live model of the cloud and detects threats as they happen, then drives response. We run CDR on top of the posture tooling you already have, so the two work together, with posture finding the gaps and CDR catching the attacker who uses one.
It is a continuously updated model of your cloud: the identities, configurations, network reachability, and workloads, and how they relate. Because the model is stateful, a single event can be judged in context. A new role on its own may be routine, but a new role with a reachable path to sensitive data is a finding. The twin is what lets CDR tell the difference.
No. CDR detects and prepares the response, but any consequential action, such as revoking a session or isolating a resource, runs through a Human-In-Loop gate where a named Security Analyst approves it. This follows the same operating rule as our Autonomous SOC: AI investigates, Analysts decide.
AWS, Azure, and Google Cloud, in a single model. Detection and correlation work across accounts and across providers, so an attack path that crosses a boundary is still seen as one path rather than disconnected events in separate consoles.
CDR feeds the iTDC, the operating core behind our Autonomous SOC, so cloud detections sit alongside endpoint, identity, and network signals. It also pairs with Continuous Threat Exposure Management, which prioritizes the exposures the cloud twin surfaces, and with Cloud Security for the hardening underneath.
Cloud control-plane events stream into the iTDC as they happen, so detection is near real time. Response speed depends on the autonomy level you set and the Human-In-Loop gate for consequential actions.
Mostly no. CDR reads the logs and APIs your cloud already produces: control plane events, identity activity, and workload signals. Agent-based depth is added only where runtime visibility needs it.
AI does the correlation and enrichment, then a Security Analyst owns the decision. Cloud alerts run through the same iTDC pipeline as everything else, so cross-domain attacks stay one story.
By cloud footprint and telemetry volume, usually as part of a managed detection retainer. A scoped assessment of your cloud signal coverage is the typical starting point.
It is the Implement motion for your cloud estate, with Learn tuning cloud detections weekly and findings feeding posture work in Guard.
The posture hardening and guardrails underneath the live detection.
Learn more ›SolutionThe iTDC that investigates cloud signals alongside everything else.
Learn more ›ServicePrioritization of the exposures the cloud twin surfaces.
Learn more ›Book a session with a Principal Engineer. We connect to your cloud telemetry, build a live model, and show you the paths a scan would miss.