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Agentic SOC

Your whole defensive loop. Each part feeding the next.

A hunt turns something up on Thursday. Whether it becomes a detection depends on who has a free hour next week, because the queue has a clock on it and that step doesn’t. Dropzone AI agents carry the handoff instead, so what one finds is where the next one starts.

Request a demo

See how it works

Your defensive loop.

Continuous cycle connecting threat intelligence, threat hunting, and investigation.

Agentic SOC

Your whole defensive loop. Each part feeding the next.

A hunt turns something up on Thursday. Whether it becomes a detection depends on who has a free hour next week, because the queue has a clock on it and that step doesn’t. Dropzone AI agents carry the handoff instead, so what one finds is where the next one starts.

Request a demo

See how it works

Your defensive loop.

Continuous cycle connecting threat intelligence, threat hunting, and investigation.

Agentic SOC

Your whole defensive loop. Each part feeding the next.

A hunt turns something up on Thursday. Whether it becomes a detection depends on who has a free hour next week, because the queue has a clock on it and that step doesn’t. Dropzone AI agents carry the handoff instead, so what one finds is where the next one starts.

Request a demo

See how it works

Your defensive loop.

Continuous cycle connecting threat intelligence, threat hunting, and investigation.

Agentic SOC

Your whole defensive loop. Each part feeding the next.

A hunt turns something up on Thursday. Whether it becomes a detection depends on who has a free hour next week, because the queue has a clock on it and that step doesn’t. Dropzone AI agents carry the handoff instead, so what one finds is where the next one starts.

Request a demo

See how it works

Your defensive loop.

Continuous cycle connecting threat intelligence, threat hunting, and investigation.

Agentic SOC

Your whole defensive loop. Each part feeding the next.

A hunt turns something up on Thursday. Whether it becomes a detection depends on who has a free hour next week, because the queue has a clock on it and that step doesn’t. Dropzone AI agents carry the handoff instead, so what one finds is where the next one starts.

Request a demo

See how it works

Your defensive loop.

Continuous cycle connecting threat intelligence, threat hunting, and investigation.

Investigation, hunting and intel, finally on the same clock.

~13

emerging threat hunts per week

380+

pre-built hunt packs

7.7 min

median time to verdict

Investigation, hunting and intel, finally on the same clock.

~13

emerging threat hunts per week

380+

pre-built hunt packs

7.7 min

median time to verdict

Investigation, hunting and intel, finally on the same clock.

~13

emerging threat hunts per week

380+

pre-built hunt packs

7.7 min

median time to verdict

Investigation, hunting and intel, finally on the same clock.

~13

emerging threat hunts per week

380+

pre-built hunt packs

7.7 min

median time to verdict

Each function does its job. The handoffs wait.

Handoffs are the only work in a SOC with no queue, no SLA and nobody’s name on them, so they go first when the week gets heavy. Threat intel nobody operationalizes stays a newsletter. A hunt finding that never becomes a detection gets told once at lunch. A decade of better detections, tuning and runbooks went into stretching this model. All useful, all resting on one assumption, people execute every step, so coverage stops where their hours stop.

The reasoning doesn’t survive the ticket

Two hours in March to prove a pattern is benign. The reasoning doesn’t make the ticket, so September’s analyst spends them again.

Findings stop where they land

A hunt finds an admin tool on six machines that shouldn’t have it. Somebody mentions it in standup. The detection that would catch it has no deadline.

Knowledge walks out

A senior analyst leaves, and the reason that one host is allowed to do that one thing leaves with them.

What the team knows stays

The analyst shares context once. September’s investigation starts from March’s answer, whether or not they’re still there.

Findings move on their own

A CVE advisory lands at 2am. By morning it’s a hunt pack with queries written against your own environment, waiting on one decision to run.

A pack at a time

A hunt pack runs and several hunts finish in about an hour. The ones that find no attacker still come back with a misconfiguration or a host nobody patched.

Each function does its job. The handoffs wait.

Handoffs are the only work in a SOC with no queue, no SLA and nobody’s name on them, so they go first when the week gets heavy. Threat intel nobody operationalizes stays a newsletter. A hunt finding that never becomes a detection gets told once at lunch. A decade of better detections, tuning and runbooks went into stretching this model. All useful, all resting on one assumption, people execute every step, so coverage stops where their hours stop.

The reasoning doesn’t survive the ticket

Two hours in March to prove a pattern is benign. The reasoning doesn’t make the ticket, so September’s analyst spends them again.

Findings stop where they land

A hunt finds an admin tool on six machines that shouldn’t have it. Somebody mentions it in standup. The detection that would catch it has no deadline.

Knowledge walks out

A senior analyst leaves, and the reason that one host is allowed to do that one thing leaves with them.

What the team knows stays

The analyst shares context once. September’s investigation starts from March’s answer, whether or not they’re still there.

Findings move on their own

A CVE advisory lands at 2am. By morning it’s a hunt pack with queries written against your own environment, waiting on one decision to run.

A pack at a time

A hunt pack runs and several hunts finish in about an hour. The ones that find no attacker still come back with a misconfiguration or a host nobody patched.

Each function does its job. The handoffs wait.

Handoffs are the only work in a SOC with no queue, no SLA and nobody’s name on them, so they go first when the week gets heavy. Threat intel nobody operationalizes stays a newsletter. A hunt finding that never becomes a detection gets told once at lunch. A decade of better detections, tuning and runbooks went into stretching this model. All useful, all resting on one assumption, people execute every step, so coverage stops where their hours stop.

The reasoning doesn’t survive the ticket

Two hours in March to prove a pattern is benign. The reasoning doesn’t make the ticket, so September’s analyst spends them again.

Findings stop where they land

A hunt finds an admin tool on six machines that shouldn’t have it. Somebody mentions it in standup. The detection that would catch it has no deadline.

Knowledge walks out

A senior analyst leaves, and the reason that one host is allowed to do that one thing leaves with them.

What the team knows stays

The analyst shares context once. September’s investigation starts from March’s answer, whether or not they’re still there.

Findings move on their own

A CVE advisory lands at 2am. By morning it’s a hunt pack with queries written against your own environment, waiting on one decision to run.

A pack at a time

A hunt pack runs and several hunts finish in about an hour. The ones that find no attacker still come back with a misconfiguration or a host nobody patched.

The reasoning doesn’t survive the ticket

Two hours in March to prove a pattern is benign. The reasoning doesn’t make the ticket, so September’s analyst spends them again.

Findings stop where they land

A hunt finds an admin tool on six machines that shouldn’t have it. Somebody mentions it in standup. The detection that would catch it has no deadline.

Knowledge walks out

A senior analyst leaves, and the reason that one host is allowed to do that one thing leaves with them.

What the team knows stays

The analyst shares context once. September’s investigation starts from March’s answer, whether or not they’re still there.

Findings move on their own

A CVE advisory lands at 2am. By morning it’s a hunt pack with queries written against your own environment, waiting on one decision to run.

A pack at a time

A hunt pack runs and several hunts finish in about an hour. The ones that find no attacker still come back with a misconfiguration or a host nobody patched.

The reasoning doesn’t survive the ticket

Two hours in March to prove a pattern is benign. The reasoning doesn’t make the ticket, so September’s analyst spends them again.

Findings stop where they land

A hunt finds an admin tool on six machines that shouldn’t have it. Somebody mentions it in standup. The detection that would catch it has no deadline.

Knowledge walks out

A senior analyst leaves, and the reason that one host is allowed to do that one thing leaves with them.

What the team knows stays

The analyst shares context once. September’s investigation starts from March’s answer, whether or not they’re still there.

Findings move on their own

A CVE advisory lands at 2am. By morning it’s a hunt pack with queries written against your own environment, waiting on one decision to run.

A pack at a time

A hunt pack runs and several hunts finish in about an hour. The ones that find no attacker still come back with a misconfiguration or a host nobody patched.

Each function does its job. The handoffs wait.

Handoffs are the only work in a SOC with no queue, no SLA and nobody’s name on them, so they go first when the week gets heavy. Threat intel nobody operationalizes stays a newsletter. A hunt finding that never becomes a detection gets told once at lunch. A decade of better detections, tuning and runbooks went into stretching this model. All useful, all resting on one assumption, people execute every step, so coverage stops where their hours stop.

The reasoning doesn’t survive the ticket

Two hours in March to prove a pattern is benign. The reasoning doesn’t make the ticket, so September’s analyst spends them again.

Findings stop where they land

A hunt finds an admin tool on six machines that shouldn’t have it. Somebody mentions it in standup. The detection that would catch it has no deadline.

Knowledge walks out

A senior analyst leaves, and the reason that one host is allowed to do that one thing leaves with them.

What the team knows stays

The analyst shares context once. September’s investigation starts from March’s answer, whether or not they’re still there.

Findings move on their own

A CVE advisory lands at 2am. By morning it’s a hunt pack with queries written against your own environment, waiting on one decision to run.

A pack at a time

A hunt pack runs and several hunts finish in about an hour. The ones that find no attacker still come back with a misconfiguration or a host nobody patched.

Each function does its job. The handoffs wait.

Handoffs are the only work in a SOC with no queue, no SLA and nobody’s name on them, so they go first when the week gets heavy. Threat intel nobody operationalizes stays a newsletter. A hunt finding that never becomes a detection gets told once at lunch. A decade of better detections, tuning and runbooks went into stretching this model. All useful, all resting on one assumption, people execute every step, so coverage stops where their hours stop.

The reasoning doesn’t survive the ticket

Two hours in March to prove a pattern is benign. The reasoning doesn’t make the ticket, so September’s analyst spends them again.

Findings stop where they land

A hunt finds an admin tool on six machines that shouldn’t have it. Somebody mentions it in standup. The detection that would catch it has no deadline.

Knowledge walks out

A senior analyst leaves, and the reason that one host is allowed to do that one thing leaves with them.

What the team knows stays

The analyst shares context once. September’s investigation starts from March’s answer, whether or not they’re still there.

Findings move on their own

A CVE advisory lands at 2am. By morning it’s a hunt pack with queries written against your own environment, waiting on one decision to run.

A pack at a time

A hunt pack runs and several hunts finish in about an hour. The ones that find no attacker still come back with a misconfiguration or a host nobody patched.

Threat intel opens the loop. Investigations close it.

Each agent owns a full function, and they share one foundation of your tool integrations, your company context and your threat models. Context any one of them adds is there for the rest, so each step builds on the last.

An advisory becomes a hunt, without anyone reading the headline

Your AI Threat Intel Analyst condenses related reporting into one story, scored on how serious, exploitable and huntable it is. The ones worth hunting arrive with a pack already drafted for your SIEM and EDR. Your team decides when it runs.

White dotted grid forming a curved wave across the background

Hunts run across the tools you already have

Your AI Threat Hunter runs on a schedule or on demand, as standing operations rather than a project someone champions. One federated search hits SIEM, EDR, cloud and identity at once, and the leads worth chasing come back sorted.

White dotted grid forming a curved wave across the background

Each hunt returns a finished case

What got checked, what turned up, why it matters, what deserves another look. A hunt that finds no attacker still finds misconfigurations, shadow IT, the box nobody patched.

White dotted grid forming a curved wave across the background

Findings and guidance carry forward

Hunt findings go to your AI SOC Analyst for full investigation. What your analysts establish stays in your tenant, alongside what telemetry can’t tell you, which host is the honeypot, who’s allowed to run security testing, which legacy box can’t be patched.

White dotted grid forming a curved wave across the background

Threat intel opens the loop. Investigations close it.

Each agent owns a full function, and they share one foundation of your tool integrations, your company context and your threat models. Context any one of them adds is there for the rest, so each step builds on the last.

An advisory becomes a hunt, without anyone reading the headline

Your AI Threat Intel Analyst condenses related reporting into one story, scored on how serious, exploitable and huntable it is. The ones worth hunting arrive with a pack already drafted for your SIEM and EDR. Your team decides when it runs.

White dotted grid forming a curved wave across the background

Hunts run across the tools you already have

Your AI Threat Hunter runs on a schedule or on demand, as standing operations rather than a project someone champions. One federated search hits SIEM, EDR, cloud and identity at once, and the leads worth chasing come back sorted.

White dotted grid forming a curved wave across the background

Each hunt returns a finished case

What got checked, what turned up, why it matters, what deserves another look. A hunt that finds no attacker still finds misconfigurations, shadow IT, the box nobody patched.

White dotted grid forming a curved wave across the background

Findings and guidance carry forward

Hunt findings go to your AI SOC Analyst for full investigation. What your analysts establish stays in your tenant, alongside what telemetry can’t tell you, which host is the honeypot, who’s allowed to run security testing, which legacy box can’t be patched.

White dotted grid forming a curved wave across the background

Threat intel opens the loop. Investigations close it.

Each agent owns a full function, and they share one foundation of your tool integrations, your company context and your threat models. Context any one of them adds is there for the rest, so each step builds on the last.

An advisory becomes a hunt, without anyone reading the headline

Your AI Threat Intel Analyst condenses related reporting into one story, scored on how serious, exploitable and huntable it is. The ones worth hunting arrive with a pack already drafted for your SIEM and EDR. Your team decides when it runs.

White dotted grid forming a curved wave across the background

Hunts run across the tools you already have

Your AI Threat Hunter runs on a schedule or on demand, as standing operations rather than a project someone champions. One federated search hits SIEM, EDR, cloud and identity at once, and the leads worth chasing come back sorted.

White dotted grid forming a curved wave across the background

Each hunt returns a finished case

What got checked, what turned up, why it matters, what deserves another look. A hunt that finds no attacker still finds misconfigurations, shadow IT, the box nobody patched.

White dotted grid forming a curved wave across the background

Findings and guidance carry forward

Hunt findings go to your AI SOC Analyst for full investigation. What your analysts establish stays in your tenant, alongside what telemetry can’t tell you, which host is the honeypot, who’s allowed to run security testing, which legacy box can’t be patched.

White dotted grid forming a curved wave across the background

Threat intel opens the loop. Investigations close it.

Each agent owns a full function, and they share one foundation of your tool integrations, your company context and your threat models. Context any one of them adds is there for the rest, so each step builds on the last.

An advisory becomes a hunt, without anyone reading the headline

Your AI Threat Intel Analyst condenses related reporting into one story, scored on how serious, exploitable and huntable it is. The ones worth hunting arrive with a pack already drafted for your SIEM and EDR. Your team decides when it runs.

White dotted grid forming a curved wave across the background

Hunts run across the tools you already have

Your AI Threat Hunter runs on a schedule or on demand, as standing operations rather than a project someone champions. One federated search hits SIEM, EDR, cloud and identity at once, and the leads worth chasing come back sorted.

White dotted grid forming a curved wave across the background

Each hunt returns a finished case

What got checked, what turned up, why it matters, what deserves another look. A hunt that finds no attacker still finds misconfigurations, shadow IT, the box nobody patched.

White dotted grid forming a curved wave across the background

Findings and guidance carry forward

Hunt findings go to your AI SOC Analyst for full investigation. What your analysts establish stays in your tenant, alongside what telemetry can’t tell you, which host is the honeypot, who’s allowed to run security testing, which legacy box can’t be patched.

White dotted grid forming a curved wave across the background

A loop that runs continuously, inside bounds you set.

You set where the agents stop

You define what they act on alone and what always comes to a person. Bounds, not a setting someone tuned once.

Every handoff is open to check

Sources touched, queries run, raw response alongside the processed one. Take any query, run it in your own tools, see whether the answer holds.

The record outlasts the quarter

What ran, why, and what it concluded stays written down in full, so a question next year about last quarter still has an answer.

Your environment stays yours

Your data stays in your tenant, with EU residency where you need it. SOC 2 Type II today, FedRAMP High authorized.

A loop that runs continuously, inside bounds you set.

You set where the agents stop

You define what they act on alone and what always comes to a person. Bounds, not a setting someone tuned once.

Every handoff is open to check

Sources touched, queries run, raw response alongside the processed one. Take any query, run it in your own tools, see whether the answer holds.

The record outlasts the quarter

What ran, why, and what it concluded stays written down in full, so a question next year about last quarter still has an answer.

Your environment stays yours

Your data stays in your tenant, with EU residency where you need it. SOC 2 Type II today, FedRAMP High authorized.

A loop that runs continuously, inside bounds you set.

You set where the agents stop

You define what they act on alone and what always comes to a person. Bounds, not a setting someone tuned once.

Every handoff is open to check

Sources touched, queries run, raw response alongside the processed one. Take any query, run it in your own tools, see whether the answer holds.

The record outlasts the quarter

What ran, why, and what it concluded stays written down in full, so a question next year about last quarter still has an answer.

Your environment stays yours

Your data stays in your tenant, with EU residency where you need it. SOC 2 Type II today, FedRAMP High authorized.

A loop that runs continuously, inside bounds you set.

You set where the agents stop

You define what they act on alone and what always comes to a person. Bounds, not a setting someone tuned once.

Every handoff is open to check

Sources touched, queries run, raw response alongside the processed one. Take any query, run it in your own tools, see whether the answer holds.

The record outlasts the quarter

What ran, why, and what it concluded stays written down in full, so a question next year about last quarter still has an answer.

Your environment stays yours

Your data stays in your tenant, with EU residency where you need it. SOC 2 Type II today, FedRAMP High authorized.

Frequently asked questions

[

01

]

Is this three products or one?

[

02

]

Do we have to rethink our whole operating model to start?

[

03

]

How should we compare multi-agent SOC platforms?

[

04

]

Do the agents need separate integrations?

[

05

]

Does Dropzone AI write detection rules?

[

06

]

What happens to what our analysts teach it?

Frequently asked questions

[

01

]

Is this three products or one?

[

02

]

Do we have to rethink our whole operating model to start?

[

03

]

How should we compare multi-agent SOC platforms?

[

04

]

Do the agents need separate integrations?

[

05

]

Does Dropzone AI write detection rules?

[

06

]

What happens to what our analysts teach it?

Frequently asked questions

[

01

]

Is this three products or one?

[

02

]

Do we have to rethink our whole operating model to start?

[

03

]

How should we compare multi-agent SOC platforms?

[

04

]

Do the agents need separate integrations?

[

05

]

Does Dropzone AI write detection rules?

[

06

]

What happens to what our analysts teach it?

Frequently asked questions

[

01

]

Is this three products or one?

[

02

]

Do we have to rethink our whole operating model to start?

[

03

]

How should we compare multi-agent SOC platforms?

[

04

]

Do the agents need separate integrations?

[

05

]

Does Dropzone AI write detection rules?

[

06

]

What happens to what our analysts teach it?

Glowing violet geometric panels on a dark call-to-action background

See AI SOC agents work in your environment

Request a demo

Glowing violet geometric panels on a dark call-to-action background

See AI SOC agents work in your environment

Request a demo

Glowing violet geometric panels on a dark call-to-action background

See AI SOC agents work in your environment

Request a demo

Glowing violet geometric panels on a dark call-to-action background

See AI SOC agents work in your environment

Request a demo

Product

AI SOC Analyst

AI Threat Hunter

AI Threat Intel Analyst

Integrations

Security, Privacy, Trust

EU Data Residency

Customers

Pricing

Documentation

solutions

MSSP

SOC Coverage

Scale SOC Capacity

24/7 SOC

Agentic SOC

For Federal Agencies

Use Cases

Resources

Insights

Blog

Case Studies

Dropzone COACH

Resource Center

Learning Guides

Solution Sheets

White Papers & e-Books

Reports

Product Tours

Company

About Dropzone

Why Dropzone

Partners

Careers

Newsroom

Security Trust Center

Contact Us

Glossary

Consent Preferences

|

Privacy Policy

|

Terms of Service |

Copyright © Dropzone AI 2026. All Rights Reserved

Product

AI SOC Analyst

AI Threat Hunter

AI Threat Intel Analyst

Integrations

Security, Privacy, Trust

EU Data Residency

Customers

Pricing

Documentation

solutions

MSSP

SOC Coverage

Scale SOC Capacity

24/7 SOC

Agentic SOC

For Federal Agencies

Use Cases

Resources

Insights

Blog

Case Studies

Dropzone COACH

Resource Center

Learning Guides

Solution Sheets

White Papers & e-Books

Reports

Product Tours

Company

About Dropzone

Why Dropzone

Partners

Careers

Newsroom

Security Trust Center

Contact Us

Glossary

Consent Preferences

|

Privacy Policy

|

Terms of Service |

Copyright © Dropzone AI 2026. All Rights Reserved

Product

AI SOC Analyst

AI Threat Hunter

AI Threat Intel Analyst

Integrations

Security, Privacy, Trust

EU Data Residency

Customers

Pricing

Documentation

solutions

MSSP

SOC Coverage

Scale SOC Capacity

24/7 SOC

Agentic SOC

For Federal Agencies

Use Cases

Resources

Insights

Blog

Case Studies

Dropzone COACH

Resource Center

Learning Guides

Solution Sheets

White Papers & e-Books

Reports

Product Tours

Company

About Dropzone

Why Dropzone

Partners

Careers

Newsroom

Security Trust Center

Contact Us

Glossary

Consent Preferences

|

Privacy Policy

|

Terms of Service |

Copyright © Dropzone AI 2026. All Rights Reserved

Product

AI SOC Analyst

AI Threat Hunter

AI Threat Intel Analyst

Integrations

Security, Privacy, Trust

EU Data Residency

Customers

Pricing

Documentation

solutions

MSSP

SOC Coverage

Scale SOC Capacity

24/7 SOC

Agentic SOC

For Federal Agencies

Use Cases

Resources

Insights

Blog

Case Studies

Dropzone COACH

Resource Center

Learning Guides

Solution Sheets

White Papers & e-Books

Reports

Product Tours

Company

About Dropzone

Why Dropzone

Partners

Careers

Newsroom

Security Trust Center

Contact Us

Glossary

Consent Preferences

|

Privacy Policy

|

Terms of Service |

Copyright © Dropzone AI 2026. All Rights Reserved