Isolated findings are noise. KDefend correlates AI, app, cloud, and data security into Compound Risk paths tied to real revenue impact.
01The Problem
Security teams are working hard. The tools are working against them
1
Siloed Scanners
Each tool sees one domain. Findings stay isolated.
2
No Context
No revenue or compliance mapping. Every CVE looks equal.
3
Manual Triage
Teams correlate across tools and spreadsheets by hand.
4
Slow Fixes
Weeks to find the right owner and the right fix.
5
Invisible Risks
Cross-domain Compound Risk is never surfaced.
02How it works
From finding to fix, in minutes
KDefend maps your environment, assesses business impact, and generates fixes for approval.
1
Map
Live context graph of cloud, apps, data, AI, and identities.
2
Assess
Correlates findings to revenue, compliance, and ops impact.
3
Fix
Generates IaC fixes and code patches for review.
4
Govern
Human-in-the-loop approval, where necessary, with full audit trail.
03Compound Risk
How agents find and fix Compound Risk
Fabric
Enriched security context
Compound risk detected
KDefend
KDefend
Correlates findings across domains. Surfaces Compound Risk tied to revenue.
Environment Intelligence Agent
Maps cloud, code, data, AI, and identities into a live context graph.
Remediation Execution Agent
Generates fixes and routes to the right owner for deployment.
CVE-2024
+
Public Endpoint
+
Overprivileged SA
An isolated finding is noise. But when connected across domains, it becomes Compound Risk. KDefend maps the full chain to business impact and generates fixes.
04The Difference
Today’s tools tell you what’s broken
KDefend detects Compound Risk and its impact on business, and fixes it.
Without KDefend
With KDefend
"248 critical findings in AWS."
"Your payment pipeline has 3 exploitable paths impacting $12M daily. Here's the Terraform PR to fix the root cause."
Weeks to trace a vulnerability to the right code and owner.
KDefend maps the finding to the exact IaC template or code module and generates a fix in minutes.
CISO struggles to explain risk to the board in terms they can act on.
Risk is presented in revenue, compliance, and operational terms the board acts on immediately.
Vulnerabilities remain open while teams triage hundreds of alerts.
Approved PRs close vulnerabilities in hours. Full audit trail maintained.
Sensitive data store flagged as unencrypted, but no link to which customers or compliance frameworks are affected.
KDefend traces the data store to the customer PII it holds and the compliance scope it falls under and generates encryption and access policy fixes.
AI model vulnerability detected, but no visibility into what data it accesses or who it serves.
KDefend maps the model endpoint to its data access paths, customer exposure, and network reachability, and ships a fix to close the chain.
05Who it's for
Built for the people who own risk
CISOs & Security Leaders
Prioritize by business impact, not alert volume.
Surface the 3 Compound Risk paths that threaten revenue, not 248 unranked findings. Remediation PRs ready to merge. Hours, not weeks.
CIOs & the C-Suite
Security risk in business language you can act on.
Technical findings translated to revenue exposure, compliance status, and operational risk. Faster decisions, no security team translation layer.
Security Engineers & SecOps
Ready-to-merge fixes, zero context-switching.
IaC and code fix PRs routed to the right owner with full blast radius context. Review, approve, move on.
06In Action
Compound Risk in Action
AI Model Flaw + Cloud Exposure = Compound Risk
SCENARIO
Your AI scanner flags a prompt injection vulnerability. Separately, your cloud scanner shows the model's endpoint is publicly routable. Neither tool connects the two.
QUESTION
Does this AI flaw actually create a breach path to customer data and revenue?
ANSWER
KDefend correlates the AI finding with the cloud exposure, revealing a compound chain: public endpoint → vulnerable model → PII access → $4M revenue service. One fix closes the entire path.
Over-Privileged IAM + Internal SSRF = Lateral Breach Path
SCENARIO
A cloud scanner flags an overly broad IAM role on an internal service, deprioritized since it's not internet-facing. Separately, your ASPM tool logs an SSRF in a different microservice. Neither tool sees that the SSRF can reach the internal service and leverage its IAM role.
QUESTION
Can an attacker chain these two internal findings to reach production data?
ANSWER
KDefend maps the network path from the SSRF to the internal service and traces the IAM role's access: SSRF → internal service → over-privileged IAM role → production PII → SOC 2 scope. A Terraform PR and code patch ship together.
Internal CVE + Data Store Access = Silent PII Exposure
SCENARIO
Your dependency scan flags a library with a known deserialization CVE, deprioritized because the service is internal-only. Your DSPM tool catalogs a data store with customer PII. Neither tool connects that the vulnerable service has direct read access to that PII store.
QUESTION
Does this deprioritized CVE actually put customer data at risk?
ANSWER
KDefend traces the vulnerable library to the running service and maps its data access: internal CVE → service with direct PII access → customer data store → GDPR scope. A dependency update PR ships with full blast radius context.
Unencrypted Data + Exposed Credential = Silent Breach Path
SCENARIO
A DSPM scan flags an S3 bucket without encryption enabled, marked low priority since it's not public. Separately, a service account credential is exposed in a commit. Neither tool connects the two.
QUESTION
Is the exposed credential actually a path to unprotected customer data?
ANSWER
KDefend links the exposed credential to the service account that writes PII to the unencrypted bucket: exposed credential → service account → unencrypted PII bucket → HIPAA and SOC 2 breach. An IAM rotation and bucket encryption fix ship together.
07See it
Ready to see Compound Risk in your environment?
We use cookies to analyze site traffic and improve your experience. See our Cookie Policy for details.