Automate Vulnerability Management

Automate Vulnerability Management: Neutralize Attack Chains, Not Alerts

To automate vulnerability management, you have to fix attack chains rather than individual CVEs; Kodem models real exploit paths and auto-applies mitigations across your environment.

Illustration of a magnifying glass over leaves revealing bugs, flagging container misconfigurations, CWE-269

Why Siloed Findings Break Vulnerability Management

Findings remain siloed across code, containers, and cloud.

Patches aren’t always available, leaving open exposures.

How Kodem Automates Vulnerability Management End to End

1

Full-stack inventory

Unified inventory across environments.

Kodem Resource Snapshot dashboard card showing counts of inventory resources
2

Attack chain modeling

Simulate attack chains to surface real exploit paths.

Kodem attack-chain modeling showing a severe attack score and a fully fixable finding
3

Virtual Patching When Vendor Fixes Lag

Auto-fix mitigations when patches lag.

Kodem panel showing threat containment options to isolate or restart, plus remediate and harden
4

Full-SDLC Governance

Enforce consistent policy from dev to prod.

Kodem governance panel showing actions taken: webhooks sent, labels added, issues dismissed and reopened

What does it mean to automate vulnerability management?

Automating vulnerability management means using software to handle the work teams normally do by hand: correlating findings, prioritizing by real risk, and applying or recommending fixes. Done well, it shrinks the gap between discovery and remediation from weeks to hours, because exploitable issues no longer wait in a manual triage queue.

Why is manual vulnerability management broken?

Manual programs drown teams in findings from siloed scanners, each ranked by a generic severity score with no view of exploitability. Engineers then spend most of their time deciding what to ignore. That backlog is why remediation often stretches for months while the genuinely dangerous exposures sit unaddressed.

What is attack chain modeling?

Attack chain modeling maps how separate weaknesses combine into a real exploit path, rather than scoring each vulnerability alone. By focusing on the chains an attacker could actually follow, Kodem prioritizes the small number of fixes that break those paths, instead of asking teams to patch every CVE equally.

What is virtual patching?

Virtual patching applies a runtime mitigation that blocks exploitation of a vulnerability before the official vendor fix is available or deployed. It buys time when a patch lags, keeping the exposure from being exploited while the permanent fix moves through testing and release.

How does automation reduce time to remediate?

Automation removes the slow steps: it deduplicates findings, prioritizes by exploitability, routes issues to the right owner, and can apply mitigations or generate fixes directly. By replacing manual triage with attack-chain-based decisions, Kodem turns a months-long remediation cycle into a continuous, largely hands-off process.

Automate vulnerability management so the dangerous exposure fixes itself first

How Kodem helped

An Alpine image with a privilege escalation bug had no patch available.

Kodem generated a fix by removing setuid and adjusting capabilities until the vendor released a patch.

Detect 100% of attack chains missed by SAST/SCA
Avoid $1M+ breach scenarios missed by legacy tools
Auto-fix reduces exposure windows

"No other tool showed us how low-severity vulns could be chained into a breach. Kodem did."

Frequently Asked Questions

How does Kodem prioritize vulnerabilities?
Kodem scores each issue from 1 to 1000, combining static factors (CVSS, EPSS, exploit maturity) with runtime context: whether the issue is in runtime, internet-exposed, and on an ingress application. Issues above 900 are top priority, and malicious packages score 1000.
How does Kodem automate remediation?
Kai, Kodem's runtime-aware AI, generates fix guidance, code diffs, and ready-to-review pull requests, routes issues to the right owner, and surfaces quick wins where one fix resolves multiple findings.
Can I trust the AI's fixes?
Kai's recommendations are grounded in runtime evidence, what actually executes, not theoretical analysis. It is runtime-aware and context-driven rather than fully autonomous, and fixes are delivered as reviewable pull requests.
How does Kodem cut vulnerability noise?
By correlating findings with runtime reachability and exposure, Kodem separates the issues that matter in production from the long tail that never executes, so triage time goes to real risk.
Does Kodem integrate with Jira?
Yes. Findings can create Jira issues directly, and Kai can draft a ticket routed to the relevant developer.

Stop the waste.
Protect your environment with Kodem.