Prove What’s Exploitable. Fix What Matters.

Preemptive, AI-driven security operations that simulate real attacks, validate defenses, and continuously close exploitable paths.

Solution

The building blocks of preemptive defense

Security Mesh Integration

All your SIEM, EDR, CSPM, IAM, WAF, and cloud data normalized into one semantic layer.

Live Digital Twin Simulation

A live model of your environment showing how real threats could move today

AI Analysts for Each Tier

Role-based AI analysts that cut false positives and automate Tier 1–3 tasks

Closed-Loop Feedback

Every action feeds back into the system, making controls smarter with each signal.

24/7 Threat Coverage

Always-on analysis, validation, and response without missed shifts or escalation delays..

how it works

 From Telemetry to Preemptive Defense

step 1

Ingest and Normalize

Tuskira connects to your SIEM, EDR, CSPM, IAM, GRC, and more. Ingesting and normalizing telemetry into a unified model. We cover over 150 integrations

SIEM logs
Vulnerabilities + asset data
EDR/XDR events
WAF/firewall rules
Cloud configs + permissions
CMDB + GRC mapping

Outcome: A continuously updating semantic layer of your environment.

step 2

Build the Digital Twin

We map cloud configs, identities, network reachability, and controls into a live model.

Cloud + network topology
Misconfigurations and vuln reachability
IAM relationships and policy gaps
Control coverage and placement

Outcome: Full visibility into how attackers could move through your environment today.

step 3

AI Simulation & Validation

Attack paths are continuously tested against your defenses behind the scenes to see what’s truly exploitable.

Outcome: False positives are filtered out, and risks are prioritized based on the real reachability of the attacker.

step 4

AI Analysts Act

Role-based Analysts (Vulnerability, Zero-Day, Threat Advisory, Remediation) triage alerts, correlate context, and automatically tune defenses.

Outcome: Faster MTTR, reduced manual workload, and automated Tier 1–3 coverage.

step 5

Closed loop defense

Every simulation, analyst action, and posture drift feeds back into the mesh.

Analyst Overrides
Threat landscape changes
Simulation outcomes
Posture and policy drift

Outcome: Autonomous defense that adapts over time, getting better with every signal.

Use Cases

From Signal Overload to Strategic Execution

Continuous Defense Validation

Control testing, closed-loop learning.


Threat Exposure Management

CTEM, vuln validation, attack surface simulation.

Autonomous 
Operations

AI Analyst workforce, response orchestration.

DevSecOps + Compliance

Code-to-cloud security, GRC automation.

testimonials

What security leaders are saying

“We used to spend a lot of time tracing alerts across our tools. Tuskira correlates it all in minutes and automatically closes out what’s safe, giving our SOC the ability to breathe.”

— VP Security Operations, National Consumer Services Company

"Tuskira gave us a single picture of risk across our environments. They showed how vulnerabilities in our production systems could be exploited, and then validated which ones actually mattered. We're now closing critical paths in days.”

— CISO, Global Manufacturing Enterprise

“Tuskira turned millions of low-value findings into a handful of validated threats. We no longer debate priorities because everything is backed by exploit data and business context.”

— CISO,  Financial Services Institution

“Before Tuskira, we had no clear line between code-level flaws and real patient data risk. Now our exposures are validated continuously across applications and cloud systems, so we only fix what’s truly exploitable.”

— CISO,  MedTech Company

Stop reacting. Start preempting.

Book a Demo to see how AI Analysts validate threats, close attack paths, and keep you ahead of risk.