Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Tines helps organizations align with the EU Artificial Intelligence Act

The EU Artificial Intelligence Act (AI Act) introduces the world’s first comprehensive regulatory framework for artificial intelligence. It defines clear rules for how AI systems are built, deployed, and monitored, focusing on risk management, data governance, transparency, and accountability. Any organization offering AI-powered products or services to EU users (or processing EU data) must comply.

A Guide to Cloudflare Load Balancing Setup (Step-by-Step Walkthrough)

Setting up Cloudflare Load Balancing (LB) made easy! In this in-depth tutorial, we walk you through the essential pre-activation steps for Cloudflare Load Balancing. From understanding the core concepts to configuring your initial pools and health checks, this video covers everything you need to know to get started. If you're looking to improve your website's uptime, latency, and availability, this is the place to start.

Introducing Seemplicity's AI Agents for Exposure Management: A New Era of Action

Security teams don’t struggle to find exposures – they struggle to fix them. The new Seemplicity AI Agents change that. Integrated into the Exposure Action Platform, they combine intelligence and automation to help teams move faster, stay aligned, and reduce risk. From clear findings and ownership mapping to guided fixes and executive insights, Seemplicity’s AI Agents make exposure management truly action-driven.

Policy, privacy and post-quantum: anonymous credentials for everyone

The Internet is in the midst of one of the most complex transitions in its history: the migration to post-quantum (PQ) cryptography. Making a system safe against quantum attackers isn't just a matter of replacing elliptic curves and RSA with PQ alternatives, such as ML-KEM and ML-DSA. These algorithms have higher costs than their classical counterparts, making them unsuitable as drop-in replacements in many situations.

Anonymous credentials: rate-limiting bots and agents without compromising privacy

The way we interact with the Internet is changing. Not long ago, ordering a pizza meant visiting a website, clicking through menus, and entering your payment details. Soon, you might just ask your phone to order a pizza that matches your preferences. A program on your device or on a remote server, which we call an AI agent, would visit the website and orchestrate the necessary steps on your behalf.

Beyond IP lists: a registry format for bots and agents

As bots and agents start cryptographically signing their requests, there is a growing need for website operators to learn public keys as they are setting up their service. I might be able to find the public key material for well-known fetchers and crawlers, but what about the next 1,000 or next 1,000,000? And how do I find their public key material in order to verify that they are who they say they are? This problem is called discovery.

An Identity Security taxonomy for Agentic AI

Agentic AI is a fundamentally new paradigm. AI agents can interact with various tools and act dynamically and probabilistically as they encounter new inputs. That means they end up falling somewhere between an application and a user in terms of how they operate. Indeed, the interaction with other applications is what gives agentic AI its power; however, this also has implications for identity security and access management.

The enterprise AI crisis: Unsanctioned tools and unenforced policies

Unsanctioned AI tools. Patchy access controls. Unmanaged apps and devices. And of course, compromised credentials. These are the issues revealed in the 1Password Annual Report 2025: The Access-Trust Gap. The report is based on a survey of over 5,000 knowledge workers, IT and security professionals, and CISOs, and it captures a moment of profound technological and cultural transition.