Detection Intelligence

Threats understood. Detections written.

Most detection programs are built from the feed outward: a rule is created to address a general vulnerability that may or may not be relevant while the real exposure remains unprotected. Kai starts from confirmed exposures, writes rules based on your telemetry, and retires those that no longer apply.
74% to 12%
False positive rate in a production security operations center
70+
Detection rules authored in two hours during a single engagement
Minutes
From a confirmed exposure to a tuned rule running in your platform
The problem

Your rule count grows while real exposures go unwatched

A feed streams general threat intel, a technique looks relevant enough, then a rule is written and shipped. Over the years the rule set grows into the hundreds and coverage is reported as a count of irrelevant protections, while the exposures you genuinely have have nothing watching them at all.

52%

of CISOs name trust in automated decisions as the top barrier to more automation.

Source: Kai, 2026 State of Autonomous Defense Report. Wakefield Research survey of 500 security leaders at $500M+ organizations, June 2026.

WITH KAI

Coverage for the exposures you actually have, with fewer false alarms

Kai writes, validates and maintains the rules that watch your real exposures, in the SIEM and EDR you already run.

Rules converted to your SIEM’s language and validated against your schema

Event types tiered Hot, Warm or Cold, for lower SIEM cost with the same coverage

Rules tuned or retired when they no longer apply

Threat intel matched to the software you run, for defense before a CVE is published

Coverage reported as exposures watched, not rules deployed

Detection coverage that scales without headcount

HOW KAI DELIVERS

Your SOC gets rules that earn every alert

Coverage is not a rule count. These four stages are what it takes for a detection to be worth the alert it generates.

1

Read the intelligence
Advisories, exploit activity and threat reporting, read continuously rather than on a weekly cycle.
Agentic exploitation
Exploit validation
Attack paths

2

Confirm it can run here
The software, the configuration and the telemetry must all be present, or no rule is written.
Fix generation
Impact prediction
Workflow fit

3

Write and validate
Authored in your query language, against fields you collect, and tested in several stages before it ships.
SAST triage
Reachability
Calibrated confidence

4

Tune or retire
Measured once live. A rule that stops earning its alerts is tuned or retired rather than muted.
Guardrail testing
Agent red teaming
Model supply chain
Detection Coverage
From threat intelligence to a deployed rule, with the coverage to prove it.
84.3%
Relevant Threats Covered
742
Total Detection Rules
18 min
Time to Coverage
2.6 Weeks Industry Average
68%
ATT&CK Coverage
↑ 13 pts Since Kai
90.2%
True Positive Rate
↑ 2.4 pts Since Kai
+192
New Rules from Kai
128 Generated, 64 Tuned
Before & After

From a rule count to coverage you can prove

Before Kai
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A threat feed that says what exists in the world

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Generic rules that assume telemetry you may not have

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Rules added and almost never retired

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Coverage reported as a rule count

With KAI

Coverage matched to confirmed exposures

Rules written against fields you collect

Noise that falls instead of accumulating

Coverage reported as exposures watched

Case Study

False positives from 74% to 12%

PRODUCTION SECURITY OPERATIONS CENTER

Kai rewrote and tuned the rule set against the environment’s own telemetry, and authored more than 70 rules in two hours.

74% to 12%
false positive rate
70+
rules authored
2 hours
to author and tune them
Guardrails

Ship detections without adding noise to your SOC

Validated before it ships
Every rule fires on the events it is scoped for, ignores the ones it should not, and its alert volume is known in advance.
Agentic exploitation
Exploit validation
Attack paths
Your platforms stay
Rules are written in the query language of the SIEM and EDR you already run. Nothing is replatformed.
Fix generation
Impact prediction
Workflow fit
Retired, not muted
Rules are measured once live, and one that stops earning its alerts is tuned or retired.
SAST triage
Reachability
Calibrated confidence
Read only to start
Agentless and read only against the sources you already run.
Guardrail testing
Agent red teaming
Model supply chain

Frequently asked questions

How does Kai decide which threats need a detection?

Kai ingests advisories, exploit activity and threat reporting continuously and tests each technique for applicability: the software is present, the configuration permits it, and the telemetry exists to detect it. Only then is a rule written. Techniques that cannot apply in your environment never become rules.

What language are the rules written in?

The query language of the SIEM or EDR you already run, so nothing has to be translated or re-platformed. Rules are deployed only where the exposure is open rather than across the whole estate.

How do you keep alert volume under control?

Every rule passes several stages of validation before it ships: it fires on the events it is scoped for, ignores the ones it should not, and its alert volume is known in advance rather than discovered in production. Rules are measured once live and retired when they stop earning their alerts. One production SOC saw its false positive rate fall from 74% to 12%.

How fast can coverage be in place?

In minutes. In one engagement more than 70 rules were authored in moments, giving coverage for exposures that could not be patched inside the window.

Detection Intelligence

Name an exposure. We will write the rule.

Pick a confirmed exposure in your estate. We will author the detection for the telemetry you collect, tell you the alert volume to expect before it ships, and deliver it into the platform you already run.