Alert triage is a reasonable place to start with AI. It is not a reasonable place to stop.

Most of what slows down security service providers has nothing to do with triage.

It's the onboarding that takes multiple days. The cross-tenant configuration work nobody wants to touch. The detection rules that need to be written, tested, and deployed across fifty environments.

Vendor AI addresses one use case at a time, which means a separate product, a separate workflow, and a separate wait for the next release.

ASW takes a different approach.

Give it hundreds of tools, describe the outcome you want, and it finds a way to get there. That's not a feature. That's a fundamentally different way of getting value from AI, across the whole operation, not just the alert queue.

Watch the full keynote: https://www.youtube.com/watch?v=QS0DzO2rNJw

#mssp #secops #ai #agenticai

Eventus Security Strengthens Global Presence with 3 Cybersecurity Awards Wins

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https://tycoonworld.in/eventus-security-strengthens-global-presence-with-3-cybersecurity-awards-wins/

Per-alert AI pricing makes AI a non-starter for most service providers.

A hundred alerts a day per tenant, multiplied across dozens of clients, priced per token. The math always comes out wrong.

For MSSPs, that's not just a cost center problem. Getting the economics wrong doesn't just hurt margins, it stops AI adoption entirely.

Agentic SecOps Workspace (ASW) changes that equation. Connect through Claude Code, and AI costs shift from a variable tied to alert volume to a predictable monthly rate per analyst. One tenant spiking doesn't take your margins with it.

Because LimaCharlie's API covers 100% of platform functions, the scope of what that analyst can do expands well beyond triage.

Onboard new clients, write and deploy detection rules, and manage cross-tenant configurations, all in the same session.

LimaCharlie doesn't charge for AI. It's part of the platform.

Get started at http://limacharlie.io

#mssp #secops #ai #agenticai

Custom detection rules mean nothing if you're not validating them continuously.

Our Atomic Red Team module is built into the platform and documented publicly, no hidden features, no black box.

For John Strand, Owner of @blackhillsinfosec, that level of transparency was the deciding factor.

The BHIS SOC treats validation as an ongoing practice, not a one-time check.

They run a lot of custom rules and need to know those rules are firing properly on a continuous basis, not just at the next pen test or the next incident. Having Atomic Red Team built directly into the platform makes that possible.

Since making the switch, BHIS can now handle roughly twice the customer load with the same staff.

Watch the full interview: https://www.youtube.com/watch?v=stHEBb-iiys&t=3s

#cybersecurity #infosec #mssp

Most AI SOC products hide the logic.

Workflows are fixed, customization requires a support ticket, and when an agent makes a decision you disagree with, there's no rule to read and no way to change it.

LimaCharlie's agentic SOC-as-code works differently.

Every rule and agent decision is fully inspectable. If an agent makes a call you disagree with, you can read the rule that triggered it, understand why, and change it.

Three prebuilt configurations are available in LimaCharlie's public GitHub repo, each designed for a different stage of operational maturity:

The Baselining SOC is built for noisy, newly onboarded environments that need FP suppression before real-time triage makes sense.

The Lean SOC runs four agents through a full L1-to-L2 workflow with minimal overhead.

The Tiered SOC mirrors a mature, full-featured SOC with specialist agents for malware analysis, threat hunting, and hourly SLA monitoring.

All three can be running in an afternoon.

Read the full breakdown, including per-alert cost models for each configuration: https://limacharlie.io/blog/using-agentic-soc-as-code-to-right-size-your-ai-operations

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Running a multi-tool SOC as an MSSP means constantly solving for integration.

Every best-of-breed product your team trusts has to communicate, correlate, and feed into a single view of the customer environment.

For Black Hills Information Security, that centralized layer is LimaCharlie.

LimaCharlie pulls telemetry from across their stack and, for BHIS, the integration experience has been a dream.

Since making the switch, BHIS cut their cost per endpoint by more than half and can now handle roughly twice the customer load with the same staff.

Watch the full interview: https://www.youtube.com/watch?v=stHEBb-iiys&t=3s

#cybersecurity #infosec #soc #mssp

Jensen Huang poured $10 billion into CUDA over a decade when no market existed for it. Investors called it a waste. He called it inevitable.

The same pattern is visible in SecOps today.

OpenClaw's rapid adoption despite known security vulnerabilities shows demand for operational AI has already outpaced the platforms built to govern it.

That gap between demand and safe infrastructure is exactly where market disruptions live.

Most AI in the SOC occupies the advisory lane: parsing logs, surfacing alerts, handing next steps back to an analyst.

LimaCharlie's Agentic SecOps Workspace was built on a different premise: AI should be a governed operator, not a consultant.

Because the platform is API-first, agents access every platform function with the same permissions model applied to human analysts, full audit trails, and fine-grained access controls that define exactly what each agent can read, write, and execute.

Organizations that build on foundations designed for autonomous operation now will hold the same structural advantage Nvidia held when the AI boom arrived.

Read the full post: https://limacharlie.io/

#cybersecurity #secops #ai #mssp

How Do You Choose a Managed Security Service Provider (MSSP)?

https://msspproviders.io/

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