#mssp — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #mssp, aggregated by home.social.
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RelayShield's Threat Intelligence & Identity Security API is now live on AWS Marketplace — 2M+ IOC corpus, 37+ monitored criminal Telegram channels, STIX/TAXII 2.1 and MISP feed export.
https://aws.amazon.com/marketplace/pp/prodview-z3izf6val3jb2
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RelayShield's Threat Intelligence & Identity Security API is now live on AWS Marketplace — 2M+ IOC corpus, 37+ monitored criminal Telegram channels, STIX/TAXII 2.1 and MISP feed export.
https://aws.amazon.com/marketplace/pp/prodview-z3izf6val3jb2
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RelayShield's Threat Intelligence & Identity Security API is now live on AWS Marketplace — 2M+ IOC corpus, 37+ monitored criminal Telegram channels, STIX/TAXII 2.1 and MISP feed export.
https://aws.amazon.com/marketplace/pp/prodview-z3izf6val3jb2
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We've been quietly building a threat intel API for MSPs and security teams.
Current corpus: 600K+ IOCs, 1,000+ malware families, 17 live feeds (C2IntelFeeds, Feodo Tracker, PhishTank, criminal Telegram channels).
New this month: identity graph correlation from criminal dumps, ransomware victim signals, NHI/token exposure detection, GitHub secret scanning.
REST API, n8n node, MCP server. Free IOC lookup at api.relayshield.net/developers
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We've been quietly building a threat intel API for MSPs and security teams.
Current corpus: 600K+ IOCs, 1,000+ malware families, 17 live feeds (C2IntelFeeds, Feodo Tracker, PhishTank, criminal Telegram channels).
New this month: identity graph correlation from criminal dumps, ransomware victim signals, NHI/token exposure detection, GitHub secret scanning.
REST API, n8n node, MCP server. Free IOC lookup at api.relayshield.net/developers
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Bespin Global、Google CloudのMSSPに選定…AIベースのセキュリティ監視市場を攻略 — BigGo ファイナンス https://www.yayafa.com/2826477/ #AgenticAi #AI #AISOC #ArtificialGeneralIntelligence #ArtificialIntelligence #BespinGlobal #DeepMind #Gemini #Google #GoogleAI #GoogleCloud #GoogleDeepMind #GoogleGemini #GoogleSecurityOperations #HelpNowAISOC #MSSP #エージェンティック技術 #エージェント型AI #カン・ジナ #ジャグディッシュ・マハパトラ #ホ・ヤンホ #人工知能 #汎用人工知能
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Bespin Global、Google CloudのMSSPに選定…AIベースのセキュリティ監視市場を攻略 — BigGo ファイナンス https://www.yayafa.com/2826477/ #AgenticAi #AI #AISOC #ArtificialGeneralIntelligence #ArtificialIntelligence #BespinGlobal #DeepMind #Gemini #Google #GoogleAI #GoogleCloud #GoogleDeepMind #GoogleGemini #GoogleSecurityOperations #HelpNowAISOC #MSSP #エージェンティック技術 #エージェント型AI #カン・ジナ #ジャグディッシュ・マハパトラ #ホ・ヤンホ #人工知能 #汎用人工知能
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Most AI SecOps vendors ship a fixed platform: the architecture, the workflows, the pricing model are all decided for you.
LimaCharlie's position has always been the opposite. Build the capabilities and the value first, then give operators the freedom to modify, assemble, and build on top of them however their operation requires.
That extends all the way up the stack, from automated agents to deployable AI SOCs you define and run across thousands of tenants as infrastructure as code.
Your toolkit, built on real SecOps infrastructure.
See how it works: https://limacharlie.io/
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Most AI SecOps vendors ship a fixed platform: the architecture, the workflows, the pricing model are all decided for you.
LimaCharlie's position has always been the opposite. Build the capabilities and the value first, then give operators the freedom to modify, assemble, and build on top of them however their operation requires.
That extends all the way up the stack, from automated agents to deployable AI SOCs you define and run across thousands of tenants as infrastructure as code.
Your toolkit, built on real SecOps infrastructure.
See how it works: https://limacharlie.io/
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Most AI SecOps vendors ship a fixed platform: the architecture, the workflows, the pricing model are all decided for you.
LimaCharlie's position has always been the opposite. Build the capabilities and the value first, then give operators the freedom to modify, assemble, and build on top of them however their operation requires.
That extends all the way up the stack, from automated agents to deployable AI SOCs you define and run across thousands of tenants as infrastructure as code.
Your toolkit, built on real SecOps infrastructure.
See how it works: https://limacharlie.io/
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Most AI SecOps vendors ship a fixed platform: the architecture, the workflows, the pricing model are all decided for you.
LimaCharlie's position has always been the opposite. Build the capabilities and the value first, then give operators the freedom to modify, assemble, and build on top of them however their operation requires.
That extends all the way up the stack, from automated agents to deployable AI SOCs you define and run across thousands of tenants as infrastructure as code.
Your toolkit, built on real SecOps infrastructure.
See how it works: https://limacharlie.io/
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Most AI SecOps vendors ship a fixed platform: the architecture, the workflows, the pricing model are all decided for you.
LimaCharlie's position has always been the opposite. Build the capabilities and the value first, then give operators the freedom to modify, assemble, and build on top of them however their operation requires.
That extends all the way up the stack, from automated agents to deployable AI SOCs you define and run across thousands of tenants as infrastructure as code.
Your toolkit, built on real SecOps infrastructure.
See how it works: https://limacharlie.io/
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An MSP idea is easy.
Building a scalable MSP is not.Structure, delivery, and go to market decide everything.
MSP LaunchPad helps you go from idea to a live MSP with clarity and confidence.
Build it right from day one.
Explore more www.halexo.com
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Token-based billing sounds reasonable until you run the numbers at MSSP scale.
With thousands of tenants, variable alert volumes, and no predictable ceiling on monthly AI costs, that model doesn't just create budget problems, it makes AI operationally impossible to commit to.
ASW pricing is structured differently: a flat monthly fee per analyst, covering everything they need. No per-token math, no worst-case scenarios to hedge against, no surprises when a tenant has a bad week.
Predictable costs are what make it possible to actually build AI into how you run a SOC, not just pilot it.
Explore pricing at http://limacharlie.io/pricing
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Token-based billing sounds reasonable until you run the numbers at MSSP scale.
With thousands of tenants, variable alert volumes, and no predictable ceiling on monthly AI costs, that model doesn't just create budget problems, it makes AI operationally impossible to commit to.
ASW pricing is structured differently: a flat monthly fee per analyst, covering everything they need. No per-token math, no worst-case scenarios to hedge against, no surprises when a tenant has a bad week.
Predictable costs are what make it possible to actually build AI into how you run a SOC, not just pilot it.
Explore pricing at http://limacharlie.io/pricing
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Token-based billing sounds reasonable until you run the numbers at MSSP scale.
With thousands of tenants, variable alert volumes, and no predictable ceiling on monthly AI costs, that model doesn't just create budget problems, it makes AI operationally impossible to commit to.
ASW pricing is structured differently: a flat monthly fee per analyst, covering everything they need. No per-token math, no worst-case scenarios to hedge against, no surprises when a tenant has a bad week.
Predictable costs are what make it possible to actually build AI into how you run a SOC, not just pilot it.
Explore pricing at http://limacharlie.io/pricing
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Token-based billing sounds reasonable until you run the numbers at MSSP scale.
With thousands of tenants, variable alert volumes, and no predictable ceiling on monthly AI costs, that model doesn't just create budget problems, it makes AI operationally impossible to commit to.
ASW pricing is structured differently: a flat monthly fee per analyst, covering everything they need. No per-token math, no worst-case scenarios to hedge against, no surprises when a tenant has a bad week.
Predictable costs are what make it possible to actually build AI into how you run a SOC, not just pilot it.
Explore pricing at http://limacharlie.io/pricing
-
Token-based billing sounds reasonable until you run the numbers at MSSP scale.
With thousands of tenants, variable alert volumes, and no predictable ceiling on monthly AI costs, that model doesn't just create budget problems, it makes AI operationally impossible to commit to.
ASW pricing is structured differently: a flat monthly fee per analyst, covering everything they need. No per-token math, no worst-case scenarios to hedge against, no surprises when a tenant has a bad week.
Predictable costs are what make it possible to actually build AI into how you run a SOC, not just pilot it.
Explore pricing at http://limacharlie.io/pricing
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Most tools that give you deep forensic flexibility weren't built for enterprise scale. And most enterprise tools weren't built by people who actually work incidents.
John Strand, Owner of Black Hills Information Security, says LimaCharlie is the exception.
During an active incident, the BHIS SOC can pull the telemetry and data they need quickly, without query caps, unnecessary clicks, or waiting.
LimaCharlie delivers security as composable, API-first primitives, giving teams full control over how they collect, query, and act on telemetry. All of it normalized to a single JSON format, stored free for a rolling year, and queryable when it matters most.
Learn more: https://limacharlie.io
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Most tools that give you deep forensic flexibility weren't built for enterprise scale. And most enterprise tools weren't built by people who actually work incidents.
John Strand, Owner of Black Hills Information Security, says LimaCharlie is the exception.
During an active incident, the BHIS SOC can pull the telemetry and data they need quickly, without query caps, unnecessary clicks, or waiting.
LimaCharlie delivers security as composable, API-first primitives, giving teams full control over how they collect, query, and act on telemetry. All of it normalized to a single JSON format, stored free for a rolling year, and queryable when it matters most.
Learn more: https://limacharlie.io
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Most tools that give you deep forensic flexibility weren't built for enterprise scale. And most enterprise tools weren't built by people who actually work incidents.
John Strand, Owner of Black Hills Information Security, says LimaCharlie is the exception.
During an active incident, the BHIS SOC can pull the telemetry and data they need quickly, without query caps, unnecessary clicks, or waiting.
LimaCharlie delivers security as composable, API-first primitives, giving teams full control over how they collect, query, and act on telemetry. All of it normalized to a single JSON format, stored free for a rolling year, and queryable when it matters most.
Learn more: https://limacharlie.io
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Today at 10am PT / 1pm ET, we're showing what running a SOC on Claude Code looks like in production.
LimaCharlie CEO Maxime Lamothe-Brassard is walking through live demonstrations inside the Agentic SecOps Workspace, covering:
> Detection triage end-to-end, from alert to case
> Composable agent stacking: triage, false positive baselining, and threat intel
> The lc-agents repo: fork, extend, or contribute your ownJoin the session: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=Mastodon&utm_medium=social
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Today at 10am PT / 1pm ET, we're showing what running a SOC on Claude Code looks like in production.
LimaCharlie CEO Maxime Lamothe-Brassard is walking through live demonstrations inside the Agentic SecOps Workspace, covering:
> Detection triage end-to-end, from alert to case
> Composable agent stacking: triage, false positive baselining, and threat intel
> The lc-agents repo: fork, extend, or contribute your ownJoin the session: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=Mastodon&utm_medium=social
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Today at 10am PT / 1pm ET, we're showing what running a SOC on Claude Code looks like in production.
LimaCharlie CEO Maxime Lamothe-Brassard is walking through live demonstrations inside the Agentic SecOps Workspace, covering:
> Detection triage end-to-end, from alert to case
> Composable agent stacking: triage, false positive baselining, and threat intel
> The lc-agents repo: fork, extend, or contribute your ownJoin the session: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=Mastodon&utm_medium=social
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Today at 10am PT / 1pm ET, we're showing what running a SOC on Claude Code looks like in production.
LimaCharlie CEO Maxime Lamothe-Brassard is walking through live demonstrations inside the Agentic SecOps Workspace, covering:
> Detection triage end-to-end, from alert to case
> Composable agent stacking: triage, false positive baselining, and threat intel
> The lc-agents repo: fork, extend, or contribute your ownJoin the session: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=Mastodon&utm_medium=social
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Today at 10am PT / 1pm ET, we're showing what running a SOC on Claude Code looks like in production.
LimaCharlie CEO Maxime Lamothe-Brassard is walking through live demonstrations inside the Agentic SecOps Workspace, covering:
> Detection triage end-to-end, from alert to case
> Composable agent stacking: triage, false positive baselining, and threat intel
> The lc-agents repo: fork, extend, or contribute your ownJoin the session: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=Mastodon&utm_medium=social
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Two days until we show what a SOC built on infrastructure-as-code actually looks like in production.
After RSAC, the questions kept coming: how do the agentic operations actually work, and what does it look like beyond the demo?
This session is built for security engineers and MSSP operators who want those answers.
This Wednesday at 10am PT, LimaCharlie CEO Maxime Lamothe-Brassard covers the composable agent architecture, the SOC as IaC model, and the open-source lc-agents repo.
Add it to your calendar: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=mastodon&utm_medium=social
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Two days until we show what a SOC built on infrastructure-as-code actually looks like in production.
After RSAC, the questions kept coming: how do the agentic operations actually work, and what does it look like beyond the demo?
This session is built for security engineers and MSSP operators who want those answers.
This Wednesday at 10am PT, LimaCharlie CEO Maxime Lamothe-Brassard covers the composable agent architecture, the SOC as IaC model, and the open-source lc-agents repo.
Add it to your calendar: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=mastodon&utm_medium=social
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Two days until we show what a SOC built on infrastructure-as-code actually looks like in production.
After RSAC, the questions kept coming: how do the agentic operations actually work, and what does it look like beyond the demo?
This session is built for security engineers and MSSP operators who want those answers.
This Wednesday at 10am PT, LimaCharlie CEO Maxime Lamothe-Brassard covers the composable agent architecture, the SOC as IaC model, and the open-source lc-agents repo.
Add it to your calendar: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=mastodon&utm_medium=social
-
Two days until we show what a SOC built on infrastructure-as-code actually looks like in production.
After RSAC, the questions kept coming: how do the agentic operations actually work, and what does it look like beyond the demo?
This session is built for security engineers and MSSP operators who want those answers.
This Wednesday at 10am PT, LimaCharlie CEO Maxime Lamothe-Brassard covers the composable agent architecture, the SOC as IaC model, and the open-source lc-agents repo.
Add it to your calendar: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=mastodon&utm_medium=social
-
Two days until we show what a SOC built on infrastructure-as-code actually looks like in production.
After RSAC, the questions kept coming: how do the agentic operations actually work, and what does it look like beyond the demo?
This session is built for security engineers and MSSP operators who want those answers.
This Wednesday at 10am PT, LimaCharlie CEO Maxime Lamothe-Brassard covers the composable agent architecture, the SOC as IaC model, and the open-source lc-agents repo.
Add it to your calendar: https://limacharlie.wistia.com/live/events/n78fkyeer5?utm_campaign=webinar+SOC+operations&utm_source=mastodon&utm_medium=social
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The security vendors racing to build proprietary AI models are solving the wrong problem.
Models aren't the bottleneck. The platform is.
Six months from now, the models available to your team will be dramatically better than what exists today. The question is whether your security infrastructure can actually use them.
LimaCharlie doesn't compete in the model race. We built the platform so any model can access 100% of platform capabilities through the same APIs your analysts use.
That parity is what makes the next layer possible: automated agents, and eventually deployable AI SOCs that run as a collection of agents across thousands of tenants at once.
Register for our next AI SecOps Workshop, where we'll use Claude Code with LimaCharlie to deploy agents, build detections, and catch issues before they become incidents: https://limacharlie.wistia.com/live/events/oz9xzr9fk3?utm_campaign=ai+workshop+cloudops+4+2026&utm_source=mastodon&utm_medium=social
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The security vendors racing to build proprietary AI models are solving the wrong problem.
Models aren't the bottleneck. The platform is.
Six months from now, the models available to your team will be dramatically better than what exists today. The question is whether your security infrastructure can actually use them.
LimaCharlie doesn't compete in the model race. We built the platform so any model can access 100% of platform capabilities through the same APIs your analysts use.
That parity is what makes the next layer possible: automated agents, and eventually deployable AI SOCs that run as a collection of agents across thousands of tenants at once.
Register for our next AI SecOps Workshop, where we'll use Claude Code with LimaCharlie to deploy agents, build detections, and catch issues before they become incidents: https://limacharlie.wistia.com/live/events/oz9xzr9fk3?utm_campaign=ai+workshop+cloudops+4+2026&utm_source=mastodon&utm_medium=social
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The security vendors racing to build proprietary AI models are solving the wrong problem.
Models aren't the bottleneck. The platform is.
Six months from now, the models available to your team will be dramatically better than what exists today. The question is whether your security infrastructure can actually use them.
LimaCharlie doesn't compete in the model race. We built the platform so any model can access 100% of platform capabilities through the same APIs your analysts use.
That parity is what makes the next layer possible: automated agents, and eventually deployable AI SOCs that run as a collection of agents across thousands of tenants at once.
Register for our next AI SecOps Workshop, where we'll use Claude Code with LimaCharlie to deploy agents, build detections, and catch issues before they become incidents: https://limacharlie.wistia.com/live/events/oz9xzr9fk3?utm_campaign=ai+workshop+cloudops+4+2026&utm_source=mastodon&utm_medium=social
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The security vendors racing to build proprietary AI models are solving the wrong problem.
Models aren't the bottleneck. The platform is.
Six months from now, the models available to your team will be dramatically better than what exists today. The question is whether your security infrastructure can actually use them.
LimaCharlie doesn't compete in the model race. We built the platform so any model can access 100% of platform capabilities through the same APIs your analysts use.
That parity is what makes the next layer possible: automated agents, and eventually deployable AI SOCs that run as a collection of agents across thousands of tenants at once.
Register for our next AI SecOps Workshop, where we'll use Claude Code with LimaCharlie to deploy agents, build detections, and catch issues before they become incidents: https://limacharlie.wistia.com/live/events/oz9xzr9fk3?utm_campaign=ai+workshop+cloudops+4+2026&utm_source=mastodon&utm_medium=social
-
The security vendors racing to build proprietary AI models are solving the wrong problem.
Models aren't the bottleneck. The platform is.
Six months from now, the models available to your team will be dramatically better than what exists today. The question is whether your security infrastructure can actually use them.
LimaCharlie doesn't compete in the model race. We built the platform so any model can access 100% of platform capabilities through the same APIs your analysts use.
That parity is what makes the next layer possible: automated agents, and eventually deployable AI SOCs that run as a collection of agents across thousands of tenants at once.
Register for our next AI SecOps Workshop, where we'll use Claude Code with LimaCharlie to deploy agents, build detections, and catch issues before they become incidents: https://limacharlie.wistia.com/live/events/oz9xzr9fk3?utm_campaign=ai+workshop+cloudops+4+2026&utm_source=mastodon&utm_medium=social
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Most security vendors lock you into capacity-based pricing.
You commit to a number, and you pay for it whether you use it or not. For MSSPs managing customers that scale up and down, that spend adds up fast.
LimaCharlie works differently, with no contracts, no capacity planning, and no price modelling. You pay only for what you use.
For Black Hills Information Security, that means onboarding and offboarding customers quickly without overpaying.
John Strand points out this isn't just an MSSP or small business problem. Large enterprise customers run into the same issue, and the financial impact can be significant.
Estimate your deployment cost with our pricing calculator: https://limacharlie.io/pricing-calculator
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Most security vendors lock you into capacity-based pricing.
You commit to a number, and you pay for it whether you use it or not. For MSSPs managing customers that scale up and down, that spend adds up fast.
LimaCharlie works differently, with no contracts, no capacity planning, and no price modelling. You pay only for what you use.
For Black Hills Information Security, that means onboarding and offboarding customers quickly without overpaying.
John Strand points out this isn't just an MSSP or small business problem. Large enterprise customers run into the same issue, and the financial impact can be significant.
Estimate your deployment cost with our pricing calculator: https://limacharlie.io/pricing-calculator
-
Most security vendors lock you into capacity-based pricing.
You commit to a number, and you pay for it whether you use it or not. For MSSPs managing customers that scale up and down, that spend adds up fast.
LimaCharlie works differently, with no contracts, no capacity planning, and no price modelling. You pay only for what you use.
For Black Hills Information Security, that means onboarding and offboarding customers quickly without overpaying.
John Strand points out this isn't just an MSSP or small business problem. Large enterprise customers run into the same issue, and the financial impact can be significant.
Estimate your deployment cost with our pricing calculator: https://limacharlie.io/pricing-calculator
-
One message came through clearly at RSAC: security teams want infrastructure they can control, extend, and own. Not another black box AI SOC product with no visibility into how decisions are made.
LimaCharlie's open-source AI triage agents are built for that.
Each agent is a self-contained, installable unit with defined scope, permissions, and behavior, running on real SecOps infrastructure and deployable on demand.
On April 8th at 10am PT / 1pm ET, LimaCharlie CEO and founder Maxime Lamothe-Brassard walks through the architecture live and demonstrates what it actually looks like to run full SOC operations on Claude Code.
-
One message came through clearly at RSAC: security teams want infrastructure they can control, extend, and own. Not another black box AI SOC product with no visibility into how decisions are made.
LimaCharlie's open-source AI triage agents are built for that.
Each agent is a self-contained, installable unit with defined scope, permissions, and behavior, running on real SecOps infrastructure and deployable on demand.
On April 8th at 10am PT / 1pm ET, LimaCharlie CEO and founder Maxime Lamothe-Brassard walks through the architecture live and demonstrates what it actually looks like to run full SOC operations on Claude Code.
-
One message came through clearly at RSAC: security teams want infrastructure they can control, extend, and own. Not another black box AI SOC product with no visibility into how decisions are made.
LimaCharlie's open-source AI triage agents are built for that.
Each agent is a self-contained, installable unit with defined scope, permissions, and behavior, running on real SecOps infrastructure and deployable on demand.
On April 8th at 10am PT / 1pm ET, LimaCharlie CEO and founder Maxime Lamothe-Brassard walks through the architecture live and demonstrates what it actually looks like to run full SOC operations on Claude Code.
-
One message came through clearly at RSAC: security teams want infrastructure they can control, extend, and own. Not another black box AI SOC product with no visibility into how decisions are made.
LimaCharlie's open-source AI triage agents are built for that.
Each agent is a self-contained, installable unit with defined scope, permissions, and behavior, running on real SecOps infrastructure and deployable on demand.
On April 8th at 10am PT / 1pm ET, LimaCharlie CEO and founder Maxime Lamothe-Brassard walks through the architecture live and demonstrates what it actually looks like to run full SOC operations on Claude Code.
-
One message came through clearly at RSAC: security teams want infrastructure they can control, extend, and own. Not another black box AI SOC product with no visibility into how decisions are made.
LimaCharlie's open-source AI triage agents are built for that.
Each agent is a self-contained, installable unit with defined scope, permissions, and behavior, running on real SecOps infrastructure and deployable on demand.
On April 8th at 10am PT / 1pm ET, LimaCharlie CEO and founder Maxime Lamothe-Brassard walks through the architecture live and demonstrates what it actually looks like to run full SOC operations on Claude Code.
