Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At Tines, we take pride in both the flexibility and security of our platform: it’s what allows us to do things like safely connect to any HTTP API in the world, and seamlessly deploy in fully air-gapped environments. Similarly, our AI capabilities have been designed from the ground up to be secure and private, with no logging, internet transit, or training on your data.

With widespread remote work and global access, organizations face mounting challenges in securing user identities against sophisticated threats. One critical identity risk signal is impossible travel, where a user appears to log in from two unrecognized, geographically distant locations within an unrealistic timeframe, indicating the possibility of compromised credentials or session hijacking.

Leveraging AI is incredibly useful when orchestrating and automating your most important workflows. And it’s essential that you have the right AI model for your organization to handle those workflows as expected. Today, we’re excited to announce that you can select your preferred AI model when using AI in Tines products and features.

As C-suites and boards are bombarded with headlines about AI revolutionizing cybersecurity, it’s no wonder they’re putting pressure on SOC leaders to adopt AI. The promise of AI in the SOC is rightfully alluring. An AI-native autonomous SOC has the potential to create a world where AI Agents collaborate with each other to take care of repetitive tasks and handle the majority of low-level alerts, freeing your human team up for strategic, proactive work. The hurdle?

Today, I’m thrilled to announce that Tines has formally signed CISA’s Secure by Design pledge. Since our founding, we have been guided by the fundamental belief that secure software is security software, and that our customers shouldn’t need to make a tradeoff between adding valuable automation capabilities or reducing their attack surface.

In this guest post, Eric Newcomer, Principal Analyst at Intellyx explores the practical applications and limitations of generative AI. Generative AI is a game-changing technology. Chat bots seem like magic compared to a traditional static web search. You submit questions in natural human language and receive back complete sentences and paragraphs. But it isn’t always clear what it is really good for, given limitations such as hallucinations and inaccurate answers, and possible bias.

In this guest post, Connor Brewer, Principal Solutions Architect at Uzado - a Canadian-based IT and security service provider - showcases an innovative IT help desk app built with AI in Tines, which boasts countless other potential applications. For many IT and security teams, outdated orchestration and automation solutions create more challenges than solutions.