ClearSkies™ AI-SecOps Autonomous Analysts
Correlated In. Governed Out.
The AI-SecOps Autonomous Analysts operate on the TDIR Engine, the hub through which every add-on connects.
On the TDIR Engine
Every signal arrives as a correlated detection
Both directions
Verdicts, actions and outcomes flow back through it
Multi-tenant
Row-level isolation and per-tenant quotas
What the AI-SecOps Autonomous Analysts contribute to the platform
They never act on another product’s raw intelligence: every signal reaches them as a correlated detection from the TDIR Engine, and every action they take flows back through it.
A correlated detection is high-fidelity signal, but it still needs an analyst to triage, investigate, decide and act. That is the work this add-on contributes.
The exchange runs in both directions
The AI-SecOps Autonomous Analysts to the TDIR Engine. Triage verdicts, investigation narratives, response actions such as endpoint isolation, account disable and domain blocking, case records and service-level events flow in as the disposition and response layer on every correlated detection.
The TDIR Engine to the AI-SecOps Autonomous Analysts. Normalized, correlated detections and the enrichment from every add-on flow out as prioritized work, and analyst overrides and incident outcomes flow back to tune triage accuracy and autonomy thresholds.
The loop closes there. A single correlated detection is triaged, investigated and actioned by a governed virtual analyst, and the outcome sharpens the models that prioritize the next one.
What each layer supplies to a case
| Add-on | What the AI-SecOps Autonomous Analyst acts on |
|---|---|
| Endpoint Threat Monitoring and Response | The endpoint behavior reported on the host, and the isolation path used when containment is warranted. |
| DNS Shield | The verdict reached before the connection is made, and the blocking path that severs a command channel. |
| Attack Surface Monitoring | The external exposure reported against the organization, which sets the standing risk a case is read against. |
| Identity Threat Protection | The compromised users and credentials reported, and the account actions taken when a response is authorized. |
| Active Defense | The certainty a decoy interaction carries, which makes a case actionable without a benign reading. |
Every one of these reaches the AI-SecOps Autonomous Analysts correlated by the TDIR Engine into one picture, rather than as five separate intelligence feeds.
MITRE ATT&CK alignment
Because the AI-SecOps Autonomous Analysts act on the correlated detections the TDIR Engine produces, every case they own already carries the ATT&CK techniques contributed by the add-on that raised it. They preserve and act on that mapping across the analyst lifecycle, so triage, investigation and response all align to a framework that boards, auditors and regulators recognize.
| Capability | ATT&CK tactic | What the AI-SecOps Autonomous Analysts do with it |
|---|---|---|
| Risk-based triage | All tactics | Score each correlated detection by ATT&CK relevance and business impact, so the most consequential behavior is actioned first. |
| Autonomous investigation | Discovery, Lateral Movement | Trace reconnaissance and lateral movement across correlated signals to establish scope and root cause. T1046, T1021. |
| Scoped response | Impact, Credential Access | Contain ransomware behavior and credential abuse by driving endpoint isolation and account actions within scope. T1486, T1003. |
| Blocking before connection | Command and Control | Action a resolution-layer verdict to sever a command or delivery channel as part of a governed response path. T1071. |
| Action confirmed by deception | Discovery, Collection | Treat a decoy interaction as a high-certainty case warranting immediate response. T1595, T1005. |
Mapping is scope, not an assurance of detection. The mapping is representative rather than exhaustive, and it is inherited from the detection that raised the case rather than produced by this add-on. Control-level mapping to NIST CSF, ISO 27001, NIS2 and DORA is held by the Regulatory Frameworks core function.
Professional Services
Onboarding and scoping
Authorizing tenants and detection scopes, and setting the initial autonomy boundaries and service-commitment policy.
Integration
Connecting them into the TDIR Engine and the wider platform, and into the customer’s own SIEM, response automation, service-management and collaboration tooling.
Enablement and training
Role-based tracks for analysts and administrators covering the autonomy-level model, risk scoring, governance and escalation, and the reporting workflow.
Ongoing optimization
Periodic review of autonomy thresholds, false-positive and override rates and service-level performance.
An agent fleet handed over unconfigured protects nothing, and autonomy in particular depends on decisions the customer must make about scope, policy and thresholds.
For the service provider
The same workforce is the operational and commercial engine of a productized managed detection and response service. Multi-tenancy is a first-class concern at every layer, with row-level isolation and per-tenant quotas, so many customers run safely from one deployment.
A cross-tenant operator console consolidates queues, autonomous actions, service-level status and escalations across the book of business, and white-label reporting lets the service carry each customer’s identity. Because the workforce absorbs the high-volume work, a provider onboards new tenants without hiring in step.
Go to the MSSP platform
The outcomes are countable.
The AI-SecOps Autonomous Analysts convert a staffing problem into a platform capability: how much of the arriving work was actioned without a human, whether the commitment was met when the queue built, and whether the record satisfied a reviewer.
Request a Demo