Meet Iris

Iris: Autonomous Alert Triage and Response

Iris brings L1 triage, L2 investigation, and response into one AI SOC workflow. L1 validates alerts and renders a verdict, L2 maps blast radius and kill chain, and the Response Agent orchestrates containment through existing controls.

Why the human SOC queue is structurally broken

  • Analysts drown in alert volume. 11,000 alerts a day is routine. Most are low-confidence, low-context, and lack exploitability evidence. Analysts spend more time gathering evidence than making decisions.
  • Investigations are single-threaded. An attack that crosses identity, endpoint, cloud, and network shows up as four alerts in four queues, handled by four different humans hours apart.
  • Detection-to-response latency is measured in hours. Modern attackers complete objectives in minutes. The math no longer works.

The Inflection PointWhy this matters right now

AI-driven attackers compress initial access to objective from days to minutes. Polymorphic payloads slip past static signatures. Kill chains span cloud, identity, OT, and SaaS in a single coordinated progression. Human-speed defense, even with great analysts, cannot keep pace.

The SOC has to shift from queue processing to verdict supervision. Iris is the AI SOC agent workforce that triages every alert, validates against context, investigates blast radius, and proposes response, with a full reasoning chain on every action, and human approval where policy requires.

How Iris works

1Receive

Every detection from FedSOC arrives at the L1 Triage Agent within seconds of firing. No queue. No batch.

2Validate

L1 enriches the alert against the Security Context Graph: identity posture, network reachability, control state, threat intel, baseline behavior.

3Render Verdict

L1 produces a verdict (true positive, false positive, or escalate) with a confidence score and a full reasoning chain. Benign alerts close automatically.

4Investigate

L2 maps timeline and blast radius, validates the kill chain against Kairo’s path model, evaluates adversary infrastructure and intent.

5Respond

The Response Agent proposes the highest-leverage control action (session revocation, MFA, endpoint isolation, IP block) and executes within policy bounds, with human approval where required.

6Learn

Every verdict, override, and resolution updates the platform’s priors. Agents become sharper at the boundaries the security team cares about.

Works across 150+ integrations →

 

Common cases Iris handles

Malicious Sign-In From a New Geography

Case chain: Azure AD sign-in fires → L1 enriches against IdP baseline, threat intel, and asset access → verdict rendered in 12 seconds → L2 maps blast radius → session revoked.

What Iris determines: the IP is a known TOR exit node, credentials match a recent breach, the account has elevated cloud permissions, every baseline is violated.

How Iris responds: revokes the session, disables the account, blocks the IP range, files an incident ticket. Under four minutes end-to-end.

Phishing to Endpoint Compromise

Case chain: email artifact, endpoint behavior, and identity event stitched into one case → L2 validates kill chain against Kairo’s path model → Response Agent prepares containment.

What Iris determines: the user clicked, the macro executed, the C2 channel established, the credentials were harvested.

How Iris responds: isolates the endpoint, revokes the user’s session, blocks the C2 domain, and surfaces the kill chain as a single auditable case.

Ransomware Staging

Case chain: Cobalt Strike beacon → LSASS dump → SMB pivot → shadow-copy deletion attempt → staging detected before encryption.

What Iris determines: the staging sequence is in progress, not a single isolated behavior. The kill chain is reachable across endpoint, identity, and network.

How Iris responds: contains the staging endpoint, blocks lateral movement at the network chokepoint, and escalates with the full reasoning chain attached.

Insider Privilege Misuse

Case chain: privileged identity → unusual access to crown-jewel data → off-hours pattern → behavior versus baseline → case opened for human review.

What Iris determines: the access is in scope of the identity, but the pattern deviates from baseline and touches sensitive resources.

How Iris responds: opens a case with full reasoning chain for human review. High-impact actions on insiders stay human-led by policy.

Every reasoning step the agents produce is auditable. Every control action is logged, reversible, and bounded by policy.

Competitive Landscape: The Three Camps

Camp
Where they stop
How Iris goes further

Managed Detection and Response (MDR/MSSP)

Humans triage your queue at SOC speed. Quality varies with analyst skill, and your detection logic is gated by the provider’s playbook.

Iris produces a verdict in seconds with a full reasoning chain. Every escalation arrives pre-investigated, with blast radius and recommended response attached.

SOAR platforms

Automate response playbooks, but only after humans have triaged the alert. The bottleneck moves from response to triage and stays there.

Iris triages, investigates, and proposes response autonomously. Every action is logged, reversible, and bounded by customer-defined policy.

Single-vendor AI SOC

Handle alerts from one vendor’s telemetry well. Struggle to correlate across heterogeneous stacks, because their context graph only sees what their parent tool sees.

Iris operates on the Security Context Graph that unifies every connected tool. Verdicts are grounded in identity, endpoint, cloud, network, and exposure simultaneously.

Tuskira (Iris)

The AI SOC agent workforce (L1 Triage, L2 Investigation, Response) running on the same Security Context Graph that powers Kairo, Quell, Lattice, and FedSOC.

Iris closes the loop. Every verdict carries an auditable reasoning chain. Every action is logged, reversible, and policy-bounded. Human overrides feed back into the priors.

What our customers say

“2026 is the year cyber defenses are seeing the shift from AI-assisted attacks to AI-enabled attacks, and defenders need to adapt. That’s why Intrado partnered with Tuskira.”

Charles Gifford, CISO, Intrado

From alert queue to verdict in seconds

See how Iris triages every alert, investigates blast radius, and proposes response, with a full reasoning chain on every verdict and human approval where policy requires.

Request an Iris demo →

Outcomes

4 minutes

From initial attack to approved containment, vs. hours in a queue-based SOC.

98% noise reduction

Verdicts replace queues. Only true positives reach a human.

Full reasoning chain

On every verdict and every action. Auditable, reversible, policy-bounded.

Analyst time elevated

From queue closing to threat hunting, detection design, and judgment work.

See Full Stack Agentic SecOps in Action

Generate detections at the source, connect them through shared context, and accelerate triage and response across the SOC.

Tuskira’s Difference

Watch the video

See how Tuskira helps security teams validate threats, uncover breach paths, and move faster from signal to action.