Tom Brady lost the Super Bowl, but not his data!

The Super Bowl is a major event where security and privacy risks are tremendously magnified. Super Bowl LII was held in Minneapolis, MN - the home of Allina Health. Allina needed to monitor Healthcare providers activities to detect unauthorized or rogue access to patient's data, and to prevent PHI data exfiltration.

Monitoring thousands of employees and 2M+ patient records could not be accomplished by Allina's security team or by creating rules in a SIEM. A job of this magnitude and importance required big data based security analytics, artificial intelligence, machine learning, and data science.

Watch this recorded webinar to learn how Allina Health quickly implemented Gurucul User and Entity Behavior Analytics (UEBA) for Super Bowl LII to drive and monitor privacy for players and VIPs:

Speaker: William Scandrett, CISO, Allina Health

William Scandrett is an accomplished information security leader with a proven track record of establishing successful security programs across retail, finance, and healthcare industries. As CISO for Allina Health, William is responsible for the Security Governance, Identity, and Cybersecurity programs as well as technology compliance and risk management.

Prior to Allina Health, William served as CISO for HealthEast, and held the Information Security Director role at Ameriprise Financial where he led the Identity Management and Governance, Risk, & Compliance (GRC) programs. William also led the IT Compliance program at GMAC ResCap and consulted at Best Buy through Accenture to help establish their global technology compliance program and software development methodologies.

William is recognized in the information security community for his knowledge, vision and leadership in the areas of Identity, Compliance, and Risk Management. He has been asked to attend a number of CISO forums and roundtables and is an active member in many professional security organizations.

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"Gurucul really stood out because the analytics engine was the most powerful. The machine learning algorithms are the strongest. We saw results very, very quickly. There’s an amazing value for this type of solution."

- William Scandrett, CISO, Allina Health


Gurucul is changing the way enterprises protect themselves against insider threats, fraud, account compromise and data exfiltration in both on-premises and cloud environments. The company’s Behavior Based Security Analytics and Intelligence platform uses machine learning and predictive anomaly detection algorithms to reduce the attack surface for accounts, and to eliminate unnecessary access rights and privileges. Identify, predict and prevent breaches with Gurucul Risk Analytics.



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