From Access to Action: Discovering and Governing AI Agents at Runtime with ARISE Before the Blast Radius Spreads

How to Apply the SACR ARISE Framework to Evaluate, Enforce, and Remediate AI Agent Actions in Real Time.

AI agents are already in production. They authenticate with real credentials, assume privileged roles, call tools, and trigger downstream workflows. All at machine speed, without a human approving every step. Traditional IAM, PAM, and ITDR tools were built to answer one question: who (or what) has access? They were not built to answer the question that actually matters now: should this agent be allowed to take this specific action, right now?

Join this webcast with Ryan Rowcliffe, Field CTO at AuthMind, to learn how the ARISE framework Agentic Runtime Identity Security Enforcement,defines the runtime control layer that governs AI agent behavior at the moment it happens, and how to apply it in practice.

OVERVIEW

Many AI agents do not wait to be provisioned,they spin up on demand, operate through personal accounts, and are increasingly created by other agents. They retrieve secrets from vaults, assume roles, query data, and trigger workflows all without a provisioning ticket, a security review, or an entry in your identity governance system.

The gap this creates is not a configuration problem, but an architectural one. Policy-based tools govern what access was granted but they have no mechanism for evaluating whether a live agent action aligns with the agent’s intended purpose or for stopping it before the blast radius spreads.

ARISE was introduced by Software Analyst Cyber Research to define the missing layer: a runtime enforcement model that evaluates agent intent, behavior, and credential use continuously, and intervenes before a harmful action completes.

AuthMind was named as one of a small number of vendors with broad alignment across all three ARISE control layers.

This session translates that framework into practice.

What Will Attendees Learn

What ARISE is and why SACR, independent analysts, identified it as a genuinely new control plane rather than a rebrand of existing categories
How the three ARISE layers – deterministic governance, behavioral intent analysis, and dynamic runtime enforcement work together to close the gap between policy and actual agent behavior
Why traditional IAM, PAM, and ITDR tools leave a structural gap in agentic AI governance and what fills it
How to discover shadow agents, classifies behavioral intent, detects misuse, and triggers automated remediation in real time
How to assess your organization’s current Agentic Control Depth (ACD) maturity and build a roadmap toward runtime enforcement that scales with AI adoption

Who Should Attend

CISOs and Identity Security Leaders responsible for governing AI adoption risk across the enterprise
Cloud and Infrastructure Security Teams managing agent access to workloads, APIs, and secrets
SecOps and Threat Detection Teams building detection coverage for agentic AI identity activity
IAM Architects evaluating governance frameworks for non-human and AI agent identities
Organizations deploying copilots, autonomous workflows, or agentic AI systems in production environments

The Panelists

Ryan Rowcliffe

Field CTO

Ryan Rowcliffe is Field CTO at AuthMind, an identity security company focused on identity observability and non-human identity security. With over 25 years in cybersecurity, his expertise spans identity as a security governance layer, non-human identity sprawl, agentic access patterns, and the security implications of AI. Ryan speaks regularly at major industry conferences including Black Hat, Identiverse, Authenticate, and CrowdStrike Falcon.