Seattle Cybersecurity Conference

What would happen if an attacker came after your Active Directory, Okta, Ping, or Entra? Do you think that’s going to get easier or harder for the attacker if your company is AI-enabled? Do you have the right protections to keep them out? Do you know what to do if they get in and take down everyone’s ability to log in? Find out how the world’s top companies are securing their identity infrastructure in the age of AI. Make sure you have plans in place to recover quickly and be the hero if the worst happens.

Application security has become a forecasting exercise.

We rely on CVEs, scanners, and severity scores to predict what might go wrong. But in an AI-driven world, where code ships faster and attacks move faster, prediction is no longer enough.

Forecasts don’t tell you what’s being exploited. They don’t tell you what’s reachable. And they don’t tell you what’s under attack right now.

This talk shows why forecast-only security breaks down in the machine-speed-era, and what replaces it.

You’ll see how runtime visibility changes application security from a guessing game into an operational discipline – revealing real attack paths, reducing noise, and enabling teams to detect and stop attacks in production.

AI is rapidly becoming one of the biggest drivers of productivity and innovation in the enterprise — and one of the fastest-growing sources of data security risk. As copilots, assistants, and public AI tools become integrated into daily work, sensitive data is flowing into systems that most security teams can’t fully see, understand, or control.

The problem is that traditional data security controls were never built for this. In fact, many organizations were already struggling to operationalize data security before AI accelerated the challenge. The good news? AI isn’t just creating the problem — it’s also enabling a smarter, more effective way to solve it.

In this session, attendees will learn:

• Why AI has become one of the fastest-growing and least visible sources of enterprise risk

• How GenAI is creating new exposure points for sensitive data

• Why legacy data security tools have failed to keep up — and why AI is making those gaps harder to ignore

• How context-aware, AI-driven data security can deliver more accurate visibility, stronger controls, and real-time enforcement

• What organizations can do to enable AI innovation without expanding their risk surface

Attendees will leave with a clearer understanding of how AI is reshaping data security — and how they can use that same technology to gain control, minimize exposure, and support safer AI adoption across the business.