Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Tines

Introducing Tines Workbench

You trust us with your most important workflows, and we take that trust seriously. In developing AI in Tines, we’ve been laser-focused on helping users leverage AI without exposing their organizations to security and privacy risks. But we also spoke with so many teams struggling to fully realize AI's potential impact. They wanted AI to do more, while still preserving those all-important security and privacy guardrails.

"It's so important that the CISO gets a seat at the table": a Q&A with Trace3's Gina Yacone

A leading voice in cybersecurity, Gina Yacone is a trusted advisor to senior security leaders, guiding them through emerging trends and recommending strategies to strengthen defenses. She was also recently named Cybersecurity Woman Volunteer of the Year 2024. As regional and advisory CISO at the elite technology consultancy Trace3, she also participates in the Trace3 AI Center of Excellence (CoE) Champion Program, keeping her at the forefront of AI and security innovation.

"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.

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.