Twine’s CEO Benny Porat Interview with Help Net Security
In his conversation with Help Net Security, Co-Founder and CEO Benny Porat shares how Twine Security is solving one of cybersecurity’s most urgent challenges: execution.
While detection technologies have advanced rapidly, many security teams remain constrained by limited time and resources, leaving critical gaps unattended. Porat explains how Agentic AI offers a way to close this execution gap by introducing AI digital Employees that can handle Identity and Access Management (IAM) workflows end to end.
IAM is an ideal entry point because it combines repetitive, high-volume tasks with processes that still benefit from human judgment. Porat describes a healthy path for adoption: start with augmentation, where AI Digital Employees enrich decisions and accelerate workflows, and then progress to full automation once trust is built and the agents have adapted to the organization’s unique environment. This measured approach ensures that CISOs can see tangible results while maintaining oversight and confidence.
Trust and transparency are central to this shift. Unlike human decision-making, which often goes undocumented, AI Digital Employees create complete and auditable records of every action, decision point, and data source. This not only strengthens accountability but also turns compliance into a proactive capability, giving organizations immediate access to the reasoning behind every decision.
Looking ahead, Porat notes that the rise of agentic AI in cybersecurity will follow a pattern familiar from cloud security. At first, new teams and roles will emerge, but over time, AI-driven capabilities will be integrated across security functions, transforming how professionals operate. The goal is not to replace human expertise but to amplify it, enabling teams to focus on strategy while digital employees execute the day-to-day tasks that often overwhelm operations.
Porat’s advice to security leaders is simple: begin with projects that matter most and measure the difference in time, resources, and outcomes once AI agents are involved.
The results speak for themselves, and with IAM as the starting point, organizations can embrace agentic AI with confidence and scale it across their environments.
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