Run agentic SecOps on infrastructure you control.
Connect 150+ tools with no centralization and no data movement. Tuskira's agents reason over one normalized model of your environment, and you keep the controls, the residency, and the full audit trail.
Request a demoSee the architectureConnect, reason, and consume without moving your data.
Detection, validation, and response run against the tools you already own. One graph holds the context. Only verdicts and context move.
You shouldn't have to rebuild your stack to add AI.
Federated, observable, yours.
Federated & in-place
Detection, validation, and response run where data lives, across endpoint, cloud, identity, and network in parallel. No central lake, no ingestion tax, no duplication.
The foundation everything reasons over
Exposure management, investigations, detections, and the AI agents all reason over the same Security Context Graph. One ground truth for the whole SOC, instead of every tool guessing in isolation.
Observable & auditable
Every agent run is logged with a full reasoning chain, plus end-to-end token and cost telemetry broken out per investigation, model, and run.
Extensible & access-controlled
Connect through MCP, author tenant-specific playbooks via the product API, and govern with RBAC that respects your existing roles.
How an agent actually runs.
Not a black box. Every agent follows the same loop over your shared model, and you decide where it stops for a human.
- 1Receives a task
An alert, a new CVE or zero-day, a triage question, or a scheduled hunt.
- 2Reasons over the graph
Queries the Security Context Graph, the shared model of your environment.
- 3Validates against controls
Tests whether it is reachable, and whether the controls you run would stop it.
- 4Produces a verdict
Evidence-backed, with a confidence score and a full reasoning chain.
- 5Human approves
You set the autonomy boundaries; high-impact actions wait for a person.
- 6Audit trail recorded
Every decision, action, and approval logged, and reversible.
Four agents. One shared model.
Every agent reasons over the same Security Context Graph, allowing exposure, detection, investigation, and response to operate from the same understanding of your environment.
Attack-path analysis and breach modeling. Maps how exposures, identities, and controls chain into real breach paths.
Reachable vulnerability prioritization. Cuts millions of findings to the exploitable, reachable, and undefended few.
Zero-day validation and mitigation. Determines whether a newly disclosed vulnerability creates a reachable attack path, and recommends the compensating control that closes it.
L1/L2 investigation and response. Validates alerts, determines blast radius, and orchestrates containment and remediation.
See exactly what the agents did, and what it cost.
Agentic investigation is economically viable at scale, metered per case, not a black box or a cost ceiling.
Token, cache, and performance visibility broken out per agent, model, and run. Already operational, not a roadmap promise.
Every verdict, decision, and approval recorded, with reasoning chains you can open and inspect.
Built for the people who run the SOC.
Operate the platform end to end: connect the stack, keep data in place, and control access.
Integrate Tuskira via API and MCP, meet residency and compliance, and govern with RBAC.
Author and federate detections, and investigate across sources, all on the same shared model.
Bring it to your stack.
See federated detection, the Security Context Graph, and full agent auditability on a real environment.
Request a demoTalk to our engineers