Black Hat USA 2026Startup City, Booth 5815 · Aug 4–6 · Mandalay Bay, Las VegasBook a booth demo

AIDR Security Flywheel .

Learns from your historical incidents & empowers you to make informed decisions.

* In preview generally available in H2 2026.

Risk Insights — The score that survives the boardroom.

Risk Insights — The score that survives the boardroom.

An executive view that scores organization-wide risk only on what agents actually verified in your environment — with the evidence one click away.

Score

Verified risk. Nothing else.

Verified risk. Nothing else.

One 0–100 number across active threats and standing exposure — and unverified findings never touch it. When the score moves, it names the investigation event that moved it. Findings still under review are listed — and refused at the door.

Low 0–24

Moderate 25–49

High 50–74

Critical 75–100

Evidence

Every point has a receipt.

Every point has a receipt.

The ledger ranks every scored item by its exact contribution — critical assets and internet exposure flagged in place, rising items carrying their cause. Suspicious and needs-review findings are listed but never scored, and each row opens its evidence trail: what the agent verified, and when.

Ranked by contribution

Unverified — listed, not scored

Evidence trail per row

Vulnerability Response — Prioritize with quantified insights

Vulnerability Response — Prioritize with quantified insights

Findings from every scanner land in one queue, and AIDR judges each one against your environment: what exploitation requires versus what actually exists. Not exploitable is deprioritized, exploitable is remediated — and closed only by a clean rescan.

every finding, from every scannerIMPACT × LIKELIHOODrisk scored from your environment — exposure, assets, KEV, EPSSMost LikelyMore LikelyLikelyLess LikelyLeast Likely

Every finding gets an exploitability verdict — deprioritized, held for review, or remediated.

Assessment

One queue, every finding — already judged.

One queue, every finding — already judged.

Every scanner finding lands in a single queue, ranked by risk with its severity, AI verdict, and SLA clock on the row. Open any vulnerability and the full picture is there — why it’s exploitable in your environment, which assets are hit, and how the fix is tracked to a verified close.

One risk-ranked queue

Verdict on every row

Assessment to verified close

Threat Hunting — Hunt to reduce risk, autonomously

Threat Hunting — Hunt to reduce risk, autonomously

When one of four confirmed signals fires, AIDR opens a hunt on its own, works it to a conclusion, and proposes the rule — sweeping telemetry nobody flagged, lighting up hosts that never raised an alert.

Incident confirmedIs the same technique somewhere else?
New malicious indicatorWas it already here before we knew?
Exploitable exposureWas it exploited before the patch?
Detection gapHas it been happening, unseen?
Hidden threat · alert-free
Autonomous

Watch one hunt run itself.

Watch one hunt run itself.

A confirmed signal opens the session and AIDR does the rest — hypothesis, DataLake queries, and a threat surfacing on a host that never raised an alert. You confirm the rule; it lands as THR-1 with a daily routine already attached. Guardrails hold the whole way: query and analysis only, sensitive reads wait for approval, workspace limits cap how many hunts can run.

Query & analysis only

Sensitive reads wait for approval

Workspace hunt limits

Proof, not promises.

Detection that catches what your tools miss

Hunts that start themselves — and end as standing rules

A score where every point carries agent-verified evidence

Closure that only a clean rescan can grant