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Automation

IoT Automation: Top Applications and Key Benefits

Curious about how IoT automation can revolutionize your industry? This article dives into practical applications like smart manufacturing, predictive maintenance, and remote monitoring. We’ll explore the key benefits, including increased productivity, cost cuts, and improved safety, including real-world examples and insights on how IoT is driving efficiency and innovation in industrial automation.

"Better context in a world that's changing quickly": Leading CISOs discuss AI's role in SecOps

Earlier this month, I was thrilled to join forces with the team at Dark Reading for a webinar on the future of AI in security operations. Titled CISO Perspectives: How to make AI an accelerator, not a blocker, the webinar allowed me to take a deep dive into the future role of AI in security with some of the most knowledgeable CISOs on the subject, Mandy Andress of Elastic and Matt Hillary of Drata.

A Blueprint for Hyperautomating Your Next-Gen Secure Software Development Lifecycle

Aner Izraeli is the Chief Information Security Officer (CISO) at Torq. He leads Torq’s cybersecurity strategy with a focus on innovation and resilience. Aner’s career spans over two decades in the cybersecurity field, where he has consistently demonstrated expertise in SIEM/SOC, incident response, and network security.

Friday Flows Episode 31: Analyze Elastic alerts, block IPs, and notify in Slack and Tines Cases

FRIDAY FLOWS #31 - Analyze Elastic alerts, block, IPs, and notify in Slack and Tines Cases Personally, my favourite partners to work with. Elastic and Tines go hand in hand technology wise. Whether you're using Elastic for SIEM, Cloud Security, Endpoint, or outside security like Observability, Tines acts as the automation glue for those tools. I hope you enjoy today's episode with Michael Tolan and as always, check out the Tines community edition in the comments to play around with this specific story and more.

Friday Flows Episode 32: Beyon Cyber: An MSSP Journey from Traditional SOAR to Tines

FRIDAY FLOWS #31 - Beyon Cyber: An MSSP Journey from Traditional SOAR to Tines For any MSSPs out there, this is a really interesting deployment we did with Beyon. Service Providers will look to use SOAR as backend automation for their services. However, traditional SOARs can create their own problems. Requiring dedicated Dev teams to deploy & write automation. Not allowing customisable integration ability outside the box and ultimately being very resource-intensive to maintain.

Friday Flows Episode 33: From Traditional SOAR to Tines Automation: An engineers perspective

FRIDAY FLOWS #33 Pt.1 - From Traditional SOAR to Tines Automation: An Engineers Perspective A longer form episode with Tino Sif Baksh. An experienced SOAR engineer who has been blown away by Tines' capability since joining. This is part 1 of our chat. Three really simple unique things covered here: How SOAR has changed as a technology and automation going from ‘nice to have’ to ‘need to have’. Building rules into the Tines’ Webhook action to reduce noisy alerts. The power using Tines’ email mode within the receive email action to simplify the Phishing Response workflows.

Creating happier and more engaged teams with AI and workflow automation

High stakes, long hours, and a rapidly evolving threat landscape present unique barriers to happiness for security and IT teams. It’s not surprising that 63% of security practitioners report some level of burnout, and 58% of IT professionals feel overwhelmed by the amount of tasks they have to do in a day. Organizations simply can’t afford to ignore these statistics.

Keeping humans in the loop of AI-enhanced workflow automation: 4 best practices

In today's rapidly advancing technology landscape, the role of people in workflow automation and orchestration is more critical than ever. At Tines, we firmly believe that human oversight should be an integral part of important workflows, ensuring that all decisions are grounded in context and experience. AI in Tines is secure and private by design. This means the platform doesn’t train, log, inspect, or store any data that goes into or comes out of language models.