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Defend with the best model

Klu tests every frontier model on your security workflows and finds the one that catches the most and hardens your systems before attackers do

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Official OpenAI partner · Cyber Solutions certified
New releaseGPT-6 Astra beats your triage model by 12 points with 2.4% false positives instead of 22%Your alert triage runs GPT-5.6 Sol, which catches 30.3% of threats with 22% false positives, and GPT-6 Astra catches 42.4% with 2.4%
GPT-6 Astra42.4% caught · 2.4% false positivesDeploy
Claude Fable 5.130.4% caught · 9.5% false positivesDeploy
GPT-5.6 Sol30.3% caught · 22.0% false positivesToo many false positives
False positives, fewer is better ↑0%10%20%
Under your false positive limitOver your false positive limit
20%30%40%50%
Threats caught →

Capability is moving fast

Attackers get every new model the day it ships, so a defense team on last year's pick is a generation behind

Fresh CVEs after training cutoffExploitBench, June–August 2026
points in one generation
GPT-5.6 Sol5.5%
GPT-6 Astra39.0%
Offensive security challengesExploitGym
points in one generation
GPT-5.6 Sol30.3%
GPT-6 Astra42.4%
Binary reverse engineeringSRE-Bench
points in one generation
GPT-5.6 Sol55.8%
GPT-6 Astra88.0%

More caught, less noise

Klu ranks each model on the threats it catches and the false positives it adds to your analysts' queue

Threats caught

Real threats flagged, triaged, and fixed

GPT-6 Astra42.4%
Fable 5.130.4%
GPT-5.6 Sol30.3%
Fable 528.4%
Opus 522.0%

False positives

Harmless activity flagged as a threat

GPT-6 Astra2.4%
Fable 5.19.5%
Opus 511.5%
Fable 518.3%
GPT-5.6 Sol22.0%

Built for defenders

Recall on critical alerts

SOC alert triage

Sort the queue and escalate what matters, since a missed critical alert costs far more than a false page

Matches your analysts' severity

Vulnerability triage

Rate severity and exploitability for every incoming CVE against your own asset inventory

Findings your reviewers confirm

Secure code review

Flag injection, auth, and secrets issues in pull requests before they merge

True positives with low noise

Detection engineering

Draft detection rules that fire on replayed attacks and stay quiet on clean traffic

Matches the postmortem

Incident root cause

Read the logs, traces, and timeline, and name what actually broke

In scope with every action logged

Authorized support

Assist red teams inside a signed scope, with every action recorded

Trusted access to cyber models

Vetted teams test OpenAI's cyber-capable models on their own workflows

GPT-6 AstraOpenAI cyber, trusted access
GPT-6.1 SolOpenAI cyber, trusted access
Claude Opus 5.5Public frontier
Claude Fable 5.1Public frontier
Gemini 3.8 FlashPublic frontier

OpenAI Cyber Solutions Practitioner

Official OpenAI partner

Awarded to
Stephen Walker II
Valid through
October 6, 2027
Certified
1

Verify

We confirm your organization and every person on the account before any cyber model runs

2

Scope

You declare targets, systems, and allowed actions, and anything outside counts against containment

3

Sandbox

Agent runs execute in isolated environments with no route to anything you didn't declare

4

Log

Every prompt, action, and result is recorded and attributed to a person for your audit

Request verified access

Enterprise only with private cloud included

  • Reviewed within two business days
  • A scoping call to set targets and gates
  • First release report on your workflows in about two weeks
Stephen M. Walker IICyber scoping call
  • 20 minutes
  • Zoom
  • Times in your time zone

Access to cyber models requires verification and a signed scope

Times in your time zoneBook on Cal.com

Find your best model

Autopilot for peak performance, lowest price
Checked when labs ship

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