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For Federal Agencies

AI SOC Analysts for Federal Agencies

Every alert investigated. Every decision still yours. Reinforce your federal SOC with an AI analyst that investigates every alert across your SIEM, EDR, cloud, identity and email. Model inference runs inside the authorization boundary, keeping agency telemetry, evidence and findings within it. Your analysts get evidence-backed findings and retain control of every decision.

Request a demo

For Federal Agencies

AI SOC Analysts for Federal Agencies

Request a demo

For Federal Agencies

AI SOC Analysts for Federal Agencies

Request a demo

For Federal Agencies

AI SOC Analysts for Federal Agencies

Request a demo

For Federal Agencies

AI SOC Analysts for Federal Agencies

Request a demo

Already in production across federal and defense environments.

300+

90+

FedRAMP High (Class D)

SOC 2 Type II

Already in production across federal and defense environments.

300+

90+

FedRAMP High (Class D)

SOC 2 Type II

Already in production across federal and defense environments.

300+

90+

FedRAMP High (Class D)

SOC 2 Type II

Already in production across federal and defense environments.

300+

90+

FedRAMP High (Class D)

SOC 2 Type II

The federal SOC capacity gap.

Your team has been doing this work carefully for years. What changed is not the standard they hold themselves to. It is that attackers are using AI now too, so offensive capability keeps scaling while a shift stays the same length. Human capacity stopped being a scalable unit for coverage. *16 of 24 agencies: U.S. Government Accountability Office, GAO-24-105658.

16 of 24

federal agencies need more incident-response staff

20-30 min

to work a single alert by hand

40%

of security alerts are never investigated

The queue never empties

There is always more security work than people to do it. Caught up is a moment, not a state, and your team has known that for years.

The hiring gap will not close

Experienced analysts are scarce, slow to onboard and expensive to keep. Every departure resets institutional knowledge, and headcount was never going to scale at the rate alert volume does.

Coverage depends on who is on watch

Nights, weekends and the shift change are where things slip. Not because of a lack of skill, but because the watch schedule runs out before the risk does.

The federal SOC capacity gap.

16 of 24

federal agencies need more incident-response staff

20-30 min

to work a single alert by hand

40%

of security alerts are never investigated

The queue never empties

There is always more security work than people to do it. Caught up is a moment, not a state, and your team has known that for years.

The hiring gap will not close

Experienced analysts are scarce, slow to onboard and expensive to keep. Every departure resets institutional knowledge, and headcount was never going to scale at the rate alert volume does.

Coverage depends on who is on watch

Nights, weekends and the shift change are where things slip. Not because of a lack of skill, but because the watch schedule runs out before the risk does.

The federal SOC capacity gap.

16 of 24

federal agencies need more incident-response staff

20-30 min

to work a single alert by hand

40%

of security alerts are never investigated

The queue never empties

There is always more security work than people to do it. Caught up is a moment, not a state, and your team has known that for years.

The hiring gap will not close

Experienced analysts are scarce, slow to onboard and expensive to keep. Every departure resets institutional knowledge, and headcount was never going to scale at the rate alert volume does.

Coverage depends on who is on watch

Nights, weekends and the shift change are where things slip. Not because of a lack of skill, but because the watch schedule runs out before the risk does.

16 of 24

federal agencies need more incident-response staff

20-30 min

to work a single alert by hand

40%

of security alerts are never investigated

The queue never empties

There is always more security work than people to do it. Caught up is a moment, not a state, and your team has known that for years.

The hiring gap will not close

Experienced analysts are scarce, slow to onboard and expensive to keep. Every departure resets institutional knowledge, and headcount was never going to scale at the rate alert volume does.

Coverage depends on who is on watch

Nights, weekends and the shift change are where things slip. Not because of a lack of skill, but because the watch schedule runs out before the risk does.

16 of 24

federal agencies need more incident-response staff

20-30 min

to work a single alert by hand

40%

of security alerts are never investigated

The queue never empties

There is always more security work than people to do it. Caught up is a moment, not a state, and your team has known that for years.

The hiring gap will not close

Experienced analysts are scarce, slow to onboard and expensive to keep. Every departure resets institutional knowledge, and headcount was never going to scale at the rate alert volume does.

Coverage depends on who is on watch

Nights, weekends and the shift change are where things slip. Not because of a lack of skill, but because the watch schedule runs out before the risk does.

The federal SOC capacity gap.

16 of 24

federal agencies need more incident-response staff

20-30 min

to work a single alert by hand

40%

of security alerts are never investigated

The queue never empties

There is always more security work than people to do it. Caught up is a moment, not a state, and your team has known that for years.

The hiring gap will not close

Experienced analysts are scarce, slow to onboard and expensive to keep. Every departure resets institutional knowledge, and headcount was never going to scale at the rate alert volume does.

Coverage depends on who is on watch

Nights, weekends and the shift change are where things slip. Not because of a lack of skill, but because the watch schedule runs out before the risk does.

The federal SOC capacity gap.

16 of 24

federal agencies need more incident-response staff

20-30 min

to work a single alert by hand

40%

of security alerts are never investigated

The queue never empties

There is always more security work than people to do it. Caught up is a moment, not a state, and your team has known that for years.

The hiring gap will not close

Experienced analysts are scarce, slow to onboard and expensive to keep. Every departure resets institutional knowledge, and headcount was never going to scale at the rate alert volume does.

Coverage depends on who is on watch

Nights, weekends and the shift change are where things slip. Not because of a lack of skill, but because the watch schedule runs out before the risk does.

Autonomous investigation, with your analysts in command

AI SOC Analyst investigates every alert autonomously, the way an experienced analyst would. It queries your existing tools through their APIs, follows the evidence and reaches a verdict with the full reasoning attached. It works out of the box, investigating real alerts on day one, and acts only within the bounds you set.

Autonomous alert investigation

Every alert is worked end to end across your SIEM, EDR, cloud, identity and email tools, on every shift. No one has to start it, and no one has to pick which alerts are worth the time.

White dotted grid forming a curved wave across the background

Autonomous alert investigation

Every verdict comes with the evidence behind it. Open any finding to see exactly what it found, and ask follow-ups without leaving the finding.

Response on your terms

Every finding comes decision-ready. You approve the response, or authorize it in advance for the alerts you choose

Coachable to your policy

Guide the agent in plain language to follow your procedures, priorities and rules of engagement. Contextual memory learns what normal looks like in your environment, and the correction sticks.

Autonomous investigation, with your analysts in command

Autonomous alert investigation

Every alert is worked end to end across your SIEM, EDR, cloud, identity and email tools, on every shift. No one has to start it, and no one has to pick which alerts are worth the time.

Autonomous alert investigation

Every verdict comes with the evidence behind it. Open any finding to see exactly what it found, and ask follow-ups without leaving the finding.

Response on your terms

Every finding comes decision-ready. You approve the response, or authorize it in advance for the alerts you choose

Coachable to your policy

Guide the agent in plain language to follow your procedures, priorities and rules of engagement. Contextual memory learns what normal looks like in your environment, and the correction sticks.

Autonomous investigation, with your analysts in command

Autonomous alert investigation

Every alert is worked end to end across your SIEM, EDR, cloud, identity and email tools, on every shift. No one has to start it, and no one has to pick which alerts are worth the time.

Autonomous alert investigation

Every verdict comes with the evidence behind it. Open any finding to see exactly what it found, and ask follow-ups without leaving the finding.

Response on your terms

Every finding comes decision-ready. You approve the response, or authorize it in advance for the alerts you choose

Coachable to your policy

Guide the agent in plain language to follow your procedures, priorities and rules of engagement. Contextual memory learns what normal looks like in your environment, and the correction sticks.

Autonomous investigation, with your analysts in command

Autonomous alert investigation

Every alert is worked end to end across your SIEM, EDR, cloud, identity and email tools, on every shift. No one has to start it, and no one has to pick which alerts are worth the time.

Autonomous alert investigation

Every verdict comes with the evidence behind it. Open any finding to see exactly what it found, and ask follow-ups without leaving the finding.

Response on your terms

Every finding comes decision-ready. You approve the response, or authorize it in advance for the alerts you choose

Coachable to your policy

Guide the agent in plain language to follow your procedures, priorities and rules of engagement. Contextual memory learns what normal looks like in your environment, and the correction sticks.

Authorized for the mission, inside your boundary.

FedRAMP High (Class D) Certified

Authorized at the mission-critical tier, for systems where a compromise would cause severe harm to agency operations.

Runs where your data lives

Agency telemetry, evidence and investigation findings stay within the authorization boundary.

Your data stays yours

Agency data never trains Dropzone AI models, or any third-party model.

100% U.S.-based engineering

Every Dropzone AI engineer is based in the United States.

Authorized for the mission, inside your boundary.

FedRAMP High (Class D) Certified

Authorized at the mission-critical tier, for systems where a compromise would cause severe harm to agency operations.

Runs where your data lives

Agency telemetry, evidence and investigation findings stay within the authorization boundary.

Your data stays yours

Agency data never trains Dropzone AI models, or any third-party model.

100% U.S.-based engineering

Every Dropzone AI engineer is based in the United States.

Authorized for the mission, inside your boundary.

FedRAMP High (Class D) Certified

Authorized at the mission-critical tier, for systems where a compromise would cause severe harm to agency operations.

Runs where your data lives

Agency telemetry, evidence and investigation findings stay within the authorization boundary.

Your data stays yours

Agency data never trains Dropzone AI models, or any third-party model.

100% U.S.-based engineering

Every Dropzone AI engineer is based in the United States.

Authorized for the mission, inside your boundary.

FedRAMP High (Class D) Certified

Authorized at the mission-critical tier, for systems where a compromise would cause severe harm to agency operations.

Runs where your data lives

Agency telemetry, evidence and investigation findings stay within the authorization boundary.

Your data stays yours

Agency data never trains Dropzone AI models, or any third-party model.

100% U.S.-based engineering

Every Dropzone AI engineer is based in the United States.

How it works

An alert arrives from the tools you already run. Dropzone AI investigates it autonomously: it starts with the signal, follows the evidence across your stack, connects what it finds and reaches a verdict it can show its work for. Then it hands the case to your team.

Collect

Receives alerts from your security tools across SIEM, EDR, cloud, identity and email. Nothing to route, nothing to normalize.

Investigate

Forms hypotheses and queries your tools through their APIs, the same way your analysts do, gathering the same evidence a senior analyst would gather.

Conclude

Reasons to a verdict, then shows every query and every finding in plain language.

Contain

Where you have authorized an action, the agent executes it inside the bounds you set, and the audit trail shows the limit held. Where you have not, it recommends and waits.

Adapt

Updates contextual memory so what it learned about your environment applies to every future investigation.

An investigation, with its evidence

Mass-read operations on S3 bucket

FINDING 1
‘tomb’ read 825 objects from bucket ‘docs’ containing system design diagrams.

FINDING 2
No permission errors or suspicious activities associated with the user.

FINDING 3
User logged in from an IP address where he has consistently logged in from in the past.

FINDING 4
User is expected to perform a backup on ‘docs’ bucket according to ticket OP-3.

CONCLUSION
Accepted behavior due to scheduled backup and requires no further action.

Illustrative investigation from the solution brief ↗

How it works

Collect

Receives alerts from your security tools across SIEM, EDR, cloud, identity and email. Nothing to route, nothing to normalize.

Investigate

Forms hypotheses and queries your tools through their APIs, the same way your analysts do, gathering the same evidence a senior analyst would gather.

Conclude

Reasons to a verdict, then shows every query and every finding in plain language.

Contain

Where you have authorized an action, the agent executes it inside the bounds you set, and the audit trail shows the limit held. Where you have not, it recommends and waits.

Adapt

Updates contextual memory so what it learned about your environment applies to every future investigation.

An investigation, with its evidence

Mass-read operations on S3 bucket

FINDING 1
‘tomb’ read 825 objects from bucket ‘docs’ containing system design diagrams.

FINDING 2
No permission errors or suspicious activities associated with the user.

FINDING 3
User logged in from an IP address where he has consistently logged in from in the past.

FINDING 4
User is expected to perform a backup on ‘docs’ bucket according to ticket OP-3.

CONCLUSION
Accepted behavior due to scheduled backup and requires no further action.

Illustrative investigation from the solution brief ↗

How it works

Collect

Receives alerts from your security tools across SIEM, EDR, cloud, identity and email. Nothing to route, nothing to normalize.

Investigate

Forms hypotheses and queries your tools through their APIs, the same way your analysts do, gathering the same evidence a senior analyst would gather.

Conclude

Reasons to a verdict, then shows every query and every finding in plain language.

Contain

Where you have authorized an action, the agent executes it inside the bounds you set, and the audit trail shows the limit held. Where you have not, it recommends and waits.

Adapt

Updates contextual memory so what it learned about your environment applies to every future investigation.

An investigation, with its evidence

Mass-read operations on S3 bucket

FINDING 1
‘tomb’ read 825 objects from bucket ‘docs’ containing system design diagrams.

FINDING 2
No permission errors or suspicious activities associated with the user.

FINDING 3
User logged in from an IP address where he has consistently logged in from in the past.

FINDING 4
User is expected to perform a backup on ‘docs’ bucket according to ticket OP-3.

CONCLUSION
Accepted behavior due to scheduled backup and requires no further action.

Illustrative investigation from the solution brief ↗

How it works

Collect

Receives alerts from your security tools across SIEM, EDR, cloud, identity and email. Nothing to route, nothing to normalize.

Investigate

Forms hypotheses and queries your tools through their APIs, the same way your analysts do, gathering the same evidence a senior analyst would gather.

Conclude

Reasons to a verdict, then shows every query and every finding in plain language.

Contain

Where you have authorized an action, the agent executes it inside the bounds you set, and the audit trail shows the limit held. Where you have not, it recommends and waits.

Adapt

Updates contextual memory so what it learned about your environment applies to every future investigation.

An investigation, with its evidence

Mass-read operations on S3 bucket

FINDING 1
‘tomb’ read 825 objects from bucket ‘docs’ containing system design diagrams.

FINDING 2
No permission errors or suspicious activities associated with the user.

FINDING 3
User logged in from an IP address where he has consistently logged in from in the past.

FINDING 4
User is expected to perform a backup on ‘docs’ bucket according to ticket OP-3.

CONCLUSION
Accepted behavior due to scheduled backup and requires no further action.

Illustrative investigation from the solution brief ↗

Built for the work between the alert and the answer.

[

]

Is Dropzone AI FedRAMP authorized?

[

]

Is agency data used to train AI models?

[

]

How do our analysts stay in command?

[

]

How is this different from a SOAR playbook?

[

]

How long does deployment take?

[

]

What happens when the AI gets one wrong?

[

]

Which security tools does Dropzone AI work with?

[

]

How is Dropzone AI priced for federal agencies?

Built for the work between the alert and the answer.

[

]

Is Dropzone AI FedRAMP authorized?

[

]

Is agency data used to train AI models?

[

]

How do our analysts stay in command?

[

]

How is this different from a SOAR playbook?

[

]

How long does deployment take?

[

]

What happens when the AI gets one wrong?

[

]

Which security tools does Dropzone AI work with?

[

]

How is Dropzone AI priced for federal agencies?

Built for the work between the alert and the answer.

[

]

Is Dropzone AI FedRAMP authorized?

[

]

Is agency data used to train AI models?

[

]

How do our analysts stay in command?

[

]

How is this different from a SOAR playbook?

[

]

How long does deployment take?

[

]

What happens when the AI gets one wrong?

[

]

Which security tools does Dropzone AI work with?

[

]

How is Dropzone AI priced for federal agencies?

Built for the work between the alert and the answer.

[

]

Is Dropzone AI FedRAMP authorized?

[

]

Is agency data used to train AI models?

[

]

How do our analysts stay in command?

[

]

How is this different from a SOAR playbook?

[

]

How long does deployment take?

[

]

What happens when the AI gets one wrong?

[

]

Which security tools does Dropzone AI work with?

[

]

How is Dropzone AI priced for federal agencies?

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

Reinforce your SOC with AI SOC Analysts

Request a demo

Reinforce your SOC with AI SOC Analysts

Request a demo

Reinforce your SOC with AI SOC Analysts

Request a demo

Reinforce your SOC with AI SOC Analysts

Request a demo

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