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Daniel Miessler에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Daniel Miessler 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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A Conversation With Matt Muller From Tines

39:32
 
공유
 

Manage episode 474513290 series 3012020
Daniel Miessler에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Daniel Miessler 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

➡ Build, run, and monitor workflows with Tines at: tines.com

In this episode, I speak with Matt Muller, Field CSCO at Tines, about how automation and AI are transforming security operations at scale.

We talk about:

• Tines' Mission to Eliminate Manual Security Work Through Automation
How Tines helps security teams streamline incident response and workflow automation without needing to write code, saving time and reducing burnout.

• Applying AI to Security Operations and Analyst Workflows
How AI is used in phishing analysis, threat intel reporting, and data transformation—integrated safely into workflows using tools like Workbench with private LLMs.

• Tines Workbench and the Future of Agentic AI
How Workbench combines chat with deterministic automation to help analysts take action securely, and how Tines is exploring agentic AI to take automation even further.

Chapters:

00:00 - How Tines Automates Security to Solve SOC Burnout
07:19 - The AI Arms Race: How Attackers and Defenders Are Evolving
09:08 - Why Security Still Comes Down to Workflow, Logging, and Action
13:41 - How CISOs Are Balancing AI Adoption and Enterprise Risk
17:36 - Using AI in Tines to Transform and Automate Security Workflows
20:40 - How AI Detects Business Email Compromise Better Than Rules
25:26 - From Security to Data Pipelines: Tines as Workflow Orchestration
28:59 - Inside Workbench: Secure AI-Powered Chat for Analysts
36:00 - Automating Phishing Investigations with Trusted Tool Integrations
39:19 - Where to Learn More and Try Tines for Free

Become a Member: https://danielmiessler.com/upgrade

See omnystudio.com/listener for privacy information.

  continue reading

100 에피소드

Artwork
icon공유
 
Manage episode 474513290 series 3012020
Daniel Miessler에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Daniel Miessler 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

➡ Build, run, and monitor workflows with Tines at: tines.com

In this episode, I speak with Matt Muller, Field CSCO at Tines, about how automation and AI are transforming security operations at scale.

We talk about:

• Tines' Mission to Eliminate Manual Security Work Through Automation
How Tines helps security teams streamline incident response and workflow automation without needing to write code, saving time and reducing burnout.

• Applying AI to Security Operations and Analyst Workflows
How AI is used in phishing analysis, threat intel reporting, and data transformation—integrated safely into workflows using tools like Workbench with private LLMs.

• Tines Workbench and the Future of Agentic AI
How Workbench combines chat with deterministic automation to help analysts take action securely, and how Tines is exploring agentic AI to take automation even further.

Chapters:

00:00 - How Tines Automates Security to Solve SOC Burnout
07:19 - The AI Arms Race: How Attackers and Defenders Are Evolving
09:08 - Why Security Still Comes Down to Workflow, Logging, and Action
13:41 - How CISOs Are Balancing AI Adoption and Enterprise Risk
17:36 - Using AI in Tines to Transform and Automate Security Workflows
20:40 - How AI Detects Business Email Compromise Better Than Rules
25:26 - From Security to Data Pipelines: Tines as Workflow Orchestration
28:59 - Inside Workbench: Secure AI-Powered Chat for Analysts
36:00 - Automating Phishing Investigations with Trusted Tool Integrations
39:19 - Where to Learn More and Try Tines for Free

Become a Member: https://danielmiessler.com/upgrade

See omnystudio.com/listener for privacy information.

  continue reading

100 에피소드

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