LimaCharlie is announcing their Agentic SecOps Workspace, a security platform that elevates AI from an advisory role to an operational one.
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AI agents can now run security operations, not just summarize alerts.
This is a key development for security teams who recognize that AI must offer more than chat interfaces, simple alert triage or next-step recommendations. To keep pace with modern threats and business needs, AI must be allowed to operate and scale.
With the Agentic SecOps Workspace, AI functions as a security operator, strictly governed by the permissions of the environment. AI agents can perceive telemetry, investigate detections, and execute response actions using the same APIs, workflows, and controls as security engineers.
“We spent years building infrastructure and watching customers use it in ways we never anticipated,” said Maxime Lamothe-Brassard, CEO and Co-founder of LimaCharlie. “We assumed AI would be another integration. We were wrong. AI wants to be the operator.”
Every action taken by an agentic operator is observable, auditable, and reversible, representing a clear departure from black-box automation and advisory-only AI SOC models. This is not AI layered on top of legacy security tooling. This is AI embedded directly into the operational fabric of SecOps.
For MSSPs and security teams managing multiple tenants, the challenge extends far beyond incident response. Operational tasks like deployment, configuration, detection engineering, onboarding, reporting, and daily maintenance scale with headcount, driving up costs and eroding margins. The Agentic SecOps Workspace breaks that model by allowing AI to operate across the entire security lifecycle, scaling execution wherever human effort hits a bottleneck.
Security teams can use the Agentic SecOps Workspace to grow without linear increases in cost. It’s not about replacing people, it’s about multiplying their capabilities and providing AI operators that scale as quickly as the environments they protect.
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