Monitoring context
← Back to collectionPQL / PRODUCTS
KHODAM | AI Cyber Defense Agent
A cyber-defense approach combining monitoring, threat intelligence, event analysis, and human-approved response.
Start a Conversation ↗
PQL / OVERVIEW
An approach shaped around your needs.
KHODAM is an AI Cyber Defense Agent approach that helps security teams gain visibility, prioritize signals, and make better incident decisions. Its scope covers security-event correlation, alert triage, threat intelligence context, response playbooks, and decision records.
Actions affecting production systems require explicit approval. Architecture can be tailored for local, cloud, or hybrid environments subject to agreed policies and integration. Controls, integrations, and automation are scoped to each client environment, risk level, and agreed authority.
Scope and methods can be discussed with PQL through official channels.
PQL / KHODAM ACCESS
Explore KHODAM and its capabilities.
This page explains KHODAM as an AI Cyber Defense Agent. Use the links below to visit its separate application or explore an interactive demonstration.
KHODAM / DEFENSE MODEL
Visibility. Analysis. Control.
Threat triage
Incident response guidance
Human authorization
PQL / KHODAM · COST INTELLIGENCE
KHODAM Investment Calculator
Configure the scope, then review upfront cost, monthly recurring costs and contract totals transparently.
What does it cover?
Observe: visibility. Analyze: planned correlation and triage. Assist & Approve: planned playbooks, decision support, human approval and audit trails. Actual deployment requires SOW and validation.
Costs not included
Other vendor licenses, AI tokens, actual infrastructure, connectivity, egress, third-party SOC staff and final tax assessment.
Q-TRUST & PQC status
Q-TRUST remains conceptual. PQC assessment is not certified cryptography deployment. High-impact actions require human authorization.
Market reference, not a product-equivalence claim
Vendors use different billing models. These public references inform capacity assumptions, not one-to-one product comparisons.