Agentic AI

Build vs Buy Agent Calculator for Identity

Answer twelve questions about what your identity program does today, and the scorecard tells you whether the last mile is yours to build.

4 Components That Make AI Truly Agentic

In the rapidly evolving landscape of AI, many companies claim to be building AI agents.

Your AI Agent Doesn’t Think Like You (It’s a Feature, Not a Bug)

When Alan Turing proposed “The Imitation Game” in 1949 as a measure of machine intelligence, he assumed a single type of intelligence existed. His criterion was straightforward: if a human cannot reliably distinguish a machine from another person in conversation, then the machine must be considered

Twine Is Anthropic Cyber Verified: Raising the Bar for Trusted AI Identity Operations

Twine has joined Anthropic’s Cyber Verification Program (CVP), which validates that an organization uses frontier AI for security work with defensive objectives in mind.

Building Trust in Agentic AI

What if access permissions could manage themselves, granted or revoked in real time, without human bottlenecks? Agentic AI brings reasoning and autonomy to cybersecurity, particularly Identity and Access Management (IAM), where it can eliminate tedious manual processes. However, before entrusting AI

Copilots vs. Digital Employees in Identity

Enterprise AI in identity and access management faces a crucial choice: optimize human operators through copilots, or remove coordination burdens using digital employees. Most organizations haven’t recognized they’re selecting between these two distinct futures.

How to Talk to Humans: The Art of Asking Questions

Interacting with poorly designed AI agents can be frustrating. Users often encounter a barrage of questions before accomplishing anything: “What’s your role? Which department? What system?” This creates a fundamental challenge for AI agent builders: agents need information to function effectively, b

The Next Step in Agentic AI: Accountability

The best AI agents don’t just automate tasks - they earn trust through transparency and accountability. Here are five prerequisites that turn Agentic AI from a promising technology into a reliable teammate your organization can depend on.

From Reactive to Proactive Cybersecurity

Traditional AI in cybersecurity is reactive, it analyzes data and provides recommendations for humans to act upon. Agentic AI is fundamentally different: it observes, reasons, plans, and executes autonomous actions based on its understanding of the security environment.

How a multi-state regional bank used Twine’s AI Digital Employee, Alex, to get the answers out of its business units and unblock its identity governance and privileged access programs.

23,000 third-party contractors, 13 brands, seven people on the identity team. Twine runs the weekly recertification in Teams, with a manager in control.

Learn how a Regional Health System Automates Epic Onboarding with Alex, Twine’s AI Digital Employee