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Automated Incident Response: Streamlining Your SecOps

prophet.security · 1,124 words · saved by 1 readers

We’ve arrived at a point where it’s unreasonable for security operations to be entirely human powered. IT infrastructure is sprawling with the prevalence of SaaS apps and public cloud usage, ransomware is being deployed within days, not weeks of a vulnerability exploitation, and security devices continue to expand their telemetry – and as a side effect, inundate analysts with loads of alert data. Large language models (LLMs) like GPT4 have been posited as a potential solution to the manual efforts (we believe there’s merit there as well) – but AI isn’t going to magically solve all of your problems. This blog focuses on what you can be doing today to incorporate a more automated approach to incident response in your environment. We’ll also interject where we think LLMs can be used today or in the future to accelerate the process. Everyone’s incident response process, security tools, and ability/willingness to code vary dramatically when addressing these issues – so we’re illustrating hi

Automated Incident Response: Streamlining Your SecOps | Prophet Security Customers Resources Why Prophet AI Company Blog Request a Demo Start your engines. Black Hat Booth #4140 has a Lambo. Visit us Automated Incident Response: Streamlining Your SecOps Grant Oviatt • May 1, 2025 Security operations centers can no longer rely on purely human‑powered processes. As SaaS adoption and cloud footprints explode, teams face relentless waves of telemetry and alerts that are too many to triage by hand without burning out analysts or missing real threats. Automated incident response using incident respo

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