DataGrail Product Spotlight: AI-Powered Risk Management

Eric Brinkman Chief Product Officer, DataGrail
Lisa Wang Sr. Product Manager, DataGrail

Join Eric Brinkman, DataGrail Chief Product Officer, and Lisa Wang, Sr. Product Manager, for a look at how DataGrail is combining industry-leading connectivity and automation with responsible AI to help privacy teams eliminate risk and stay ahead of ever-evolving privacy threats.

Presentation slides

Transcript

Hello everyone.

My name is Eric Brinkman and I'm the Chief Product officer here at DataGrail.

I'm gonna talk about managing risk in an AI world and there also might be a few fun product announcements along the way.

Risk Exercise

I thought it might be fun to start with a little bit of a risk exercise.

If I told you that there is a tire, would you think that this is a risk? Maybe you probably put it in the context of driving. What if I told you that this tire was bald? Hmm, maybe a little bit more risk.

Ah, what if I told you that this tire is actually hanging from a tree? Now the context has completely changed for this scenario.

Now, what if this tree is next to a cliff but the cliff is actually in a very remote part of the world? Ah, but what if this part of the world is actually visited by children in a very short amount of time during the year as a popular destination for field trips?

As you can see, we all went through different risk calculus in our minds; risk is really the likelihood of something happening and the impact of that thing happening.

Privacy and Risk Management

As we're all managing digital privacy risk, I hate to inform you that your tire is bald, the rope is fraying, it's over a cliff, and that school bus just arrived. Privacy is about managing risk and it's a little bit messy.

The average company today uses hundreds of SaaS applications, all collecting, storing, sharing personal data in different ways. If you layer on top of that a constantly shifting set of global regulations, you’ve got a privacy team likely playing whack-a-mole.

Consequences of Inaction

Most companies are still managing this reactively running audits after the fact, chasing down spreadsheets, hoping nothing breaks before the next review. It's not scalable, it's not sustainable, and it's definitely risky. We’ve all seen the headlines; fines in the millions, class action lawsuits, and loss of customer trust that takes years to rebuild if it even can.

The Risk Landscape

Privacy compliance is now publicly provable. Private firms are becoming new enforcers, with state level lawsuits driven by private law firms building cases before regulators. We're seeing a laser focus on high-risk areas, particularly targeted at companies using AI tools and processing sensitive data.

Proactive Risk Management

The bottom line is that a reactive approach to compliance is no longer a defensible strategy. When privacy fails, it’s a business issue. It affects your risk posture and ultimately revenue. The companies that win will be the ones that integrate privacy into their overall risk framework.

AI introduces new kinds of risk, but it can also help manage those risks. It can automatically classify sensitive data, detect risky patterns, and continuously monitor exposure. The question isn't whether AI increases risk, it's whether we can use it to manage risk better.

DataGrail Platform

DataGrail is a complete privacy automation platform with unified risk intelligence. It detects risks across systems and data flows, allowing your team to quantify and prioritize privacy risk like any other risk.

Key Functions

• Automatically discovers privacy risks, including high-risk AI usage.
• Centralizes tracking and management of critical privacy risks.
• Provides context-aware recommendations for risk mitigation.

Risk Register Feature

I'm excited to introduce our new risk register feature. It moves you from reactive compliance to proactive risk management. Our platform automatically discovers risks and helps you pinpoint the most critical ones, allowing your team to focus on high-impact areas.

Conclusion

Everything we've talked about today is about helping privacy teams make better decisions faster.

Thank you all very much for joining our session. Enjoy the rest of the event everyone.