Unify the context,
not the logs.
Tuskira runs an agentic security workforce on top of the stack you already own. It reasons over one shared context graph to validate exposure, model breach paths, and investigate every alert to a verdict, with human approval where it counts.
Three architectural choices that change the math.
Most SecOps tooling re-ingests your data, floods you with more alerts, and automates actions you cannot see. Tuskira inverts all three.
Telemetry stays where it lives. Tuskira queries 150+ tools in place through MCP connectors and builds one shared context graph, so you avoid duplicate storage and rising SIEM cost.
Agents investigate the evidence and return a decision: true or false positive, confidence, attack timeline, blast radius, and the recommended action. Analysts get answers, not another backlog.
Investigation is autonomous. Containment is human-in-the-loop by architecture, not a toggle. Every verdict carries a full reasoning trace a senior analyst can inspect and challenge.
One security model over the stack you already own.
Tuskira unifies assets, identities, exposures, controls, telemetry, and attack paths into a live model of your environment. Every agent reasons over the same context, so exposure, detection, investigation, and response stop operating in separate silos.
The digital twin continuously models how identities, assets, controls, and exposures interact, so agents can reason about reachability before an attacker does.
Four agents. One operating model.
With the mesh in place, here is what runs on top of it. Adopt any agent on its own, or combine them into a full autonomous SOC. Each reasons over the same context, so the more you connect, the smarter every agent gets.
Breach Path Detection & Disruption
Models how exposures, identities, workloads, and controls chain into real cross-domain attack paths. Validates which controls actually break the path, then recommends disruption actions through tools you already own.
Exposure & Vulnerability Prioritization
Validates exploitable risk across VM, cloud, identity, AppSec, and business context. Reduces millions of findings to the small subset that is exploitable, reachable, and undefended, so teams focus on breachable issues, not raw severity.
Zero-Day & Emerging Threat Response
When a new CVE drops, Quell answers whether it creates a reachable path in your environment, then recommends the compensating control that closes it first. Exposure validation at the speed threats now move.
Alert Triage & Investigation
A tiered L1/L2 agentic workflow. L1 returns a true or false positive verdict with confidence. Confirmed positives escalate to L2, which builds a MITRE-mapped attack timeline, blast-radius analysis, and tiered response recommendations.
What's automated, and what stays human.
Tuskira does not bolt AI onto a SOAR. Each capability is purpose-built and inspectable, and you can start anywhere and expand over time. Open any row to see the mechanics.
L0 Detect where data lives GAFederated detection across 150+ tools, no centralization.
- Tier-1 atomic signals fire independently per source (an EDR rule, an NDR anomaly, an identity risk event, a cloud audit signal), so nothing is silently lost when one source goes quiet.
- Tier-2 federation rules sweep recent Tier-1 findings, joined by entity and time window, and escalate only when signals converge.
- A single detection intent maps to per-source Tier-1 signals plus a Tier-2 correlation rule, so coverage holds even when one source is incomplete.
L1 Every alert to a verdict GATrue or false positive, with confidence, automatically.
- Prepare: extract the triggering event, enrich entities, and check the knowledge graph for entity baselines, detection-rule priors, and cached IoC verdicts.
- Assess: answer a merged set of your dynamic playbook questions plus OCSF-framework questions, accumulating weighted true and false positive signals.
- Verdict: compute scores and render a true or false positive with high, medium, or low confidence, then either close it or escalate to L2.
L2 Full attack timeline and blast radius GAMITRE-mapped investigation reasoning, end to end.
- PEAK (Prepare, Execute, Act) decomposes hypotheses, runs the evidence-gathering queries, then renders verdict and recommendations.
- ABLE (Actor, Behavior, Location, Evidence) maps each hypothesis to MITRE ATT&CK techniques and the exact data sources where evidence should appear.
- Blast radius: other users from the same source IP, other targets by the same actor, other hosts with the same file hash, correlated across 1h / 24h / 7d windows.
- Output: a MITRE-mapped timeline and tiered recommendations (0-1h, 1-24h, 1-7d, 7-30d), plus the detection gaps it found.
Analysts get decisions, not another queue.
Most AI copilots hand you a summary. Tuskira hands you the decision and the receipts. Every investigation ends in a structured, schema-validated report your case management can consume directly, carrying the evidence ledger, cumulative scores, a confidence band, and the full reasoning trace. A senior analyst can resume any case in the Analyst Copilot, pivot the agent, query live tools, and challenge the call.
The question every CISO is asking about agentic security. Tuskira's answer is built into the architecture, not left to a setting.
Built on memory, not prompts.
Generic AI agents start every case from a blank prompt. Tuskira starts from everything it already knows about your environment, and gets sharper with every investigation.
A proprietary hypothesis-decomposition method (PEAK-ABLE) that maps every investigation step deterministically to MITRE ATT&CK, not a generic chain-of-thought.
Every investigation feeds entities, outcomes, and prior probabilities back into your own graph. Future investigations check it first, improving consistency and cutting cost.
Tuskira evaluates your existing controls, identifies which risks are defensible, and recommends precise changes to collapse validated breach paths through tools you already own.
Resume any agent session with the full transcript and live tool access. Tuskira treats the analyst as a peer of the agent, not a rubber stamp.
Transparent by design, auditable by default.
The exact prompt, every tool call, every evidence artifact, and every model response, captured per case for analysts and machines alike.
Isolated credentials, case store, and audit log per tenant. Built for MSSPs and regulated industries from the ground up.
Customers can audit their own tenant traffic without Tuskira operator involvement. Every action is attributable and timestamped.