Building Secure Relationships Across the Enterprise
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A Breakout Session by Chris Silveira, Manager of Fraud Intelligence at Guardian Analytics. Presentation from the 2014 IRM Summit in Phoenix, Arizona
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Building Secure Relationships Across the Enterprise
- 1. Building Secure Relationships Across The Enterprise Identity Management and Behavioral Analytics
- 2. Guardian Analytics Proven at Hundreds of Companies Pioneered individual behavioral analytics to fundamentally change fraud prevention/security Patented technology Online and mobile portals Employee portals and access Payments 25 million accounts protected 3 trillion in assets protected 2 billion sessions protects National and community banks Leading Security Technology "Guardian Analytics…has a proven and effective fraud detection risk-scoring engine." "Guardian Analytics possesses one of the clearest visions for how to tackle fraud management.” Deep Experience Detecting Unauthorized Access and Activity
- 3. Strong Relationships Starts With Trust and Confidence Control who users are and what their relationship is Analyze if users are who they say they are and doing what they are supposed to Identity Relationship Management Consumer Employee Partner Behavioral Analytics and Anomaly Detection
- 4. Extending Relationships Starts With Trust and Confidence Consumer Employee Partner Know who users are and what their relationship is Verify that users are who they say they are and doing what they are supposed to Extend relationships and engagement (information, services, devices, etc.) without increasing risk Trust & Confidence Identity Relationship Management Behavioral Analytics and Anomaly Detection
- 5. Cloud Apps The Problem: Bad Actors Hide Behind Good Credentials Consumer Employee Partner External user compromised Employees compromised or misuse privileges Partners/ contractors compromised Financials Data stores Internal & External Bad Actors Cloud apps On-prem apps Identity Relationship Management
- 6. Cloud Apps Bad Behavior Always Stands Out Consumer Employee Partner External user compromised Employees compromised or misuse privileges Partners/ contractors compromised Cloud Apps Financials Data stores On-prem apps User behavior Device/IP Information Authentication & MFA Application Access Administrative Activities Day and Time • Each user has typical behavior • Bad actors will do something unusual relative to typical or legitimate activity Identity Relationship Management
- 7. FraudMAP Analyzes Access Through OpenAM Consumer Employee Partner External user compromised Employees compromised or misuse privileges Partners/ contractors compromised User behavior Device/IP Information Authentication & MFA Application Access Administrative Activities Day and Time a Behavioral Analytics Are users exhibiting any suspicious behavior? Is access from an expected machine configuration? Is it a suspicious device Is their MFA workflow normal? Is the user in a typical location or following a typical travel pattern? Is the application access at an expected time or frequency Are profile or authorization changes unusual? Identity Relationship Management
- 9. Actionable User Risk Assessment Consumer Employee Partner External user compromised Employees compromised or misuse privileges Partners/ contractors compromised User behavior Device/IP Information Authentication & MFA Application Access Administrative Activities Day and Time a Behavioral Analytics Alert Enterprise Real-time stepped-up authentication Identity Relationship Management
- 10. Integrated Identity Management and Behavioral Analytics Consumer Employee Partner Enhance security Proactively identify credential compromise or misuse Enhance compliance Uncover policy violations Increase automation Drive risk-based decisions Increase visibility Maintain historical and contextual view of user behavior Extend relationships and enhance engagement Gain confidence to open information, services, devices Identity Relationship Management Behavioral Analytics and Anomaly Detection
- 11. Additional Examples – Behavioral Analytics Screen shots.
- 12. Thank You
Editor's Notes
- Leading Fraud Prevention Technology Company founded to fundamentally change fraud prevention; time to stop chasing every new malware threat; time to stop attempting to write rules for every combination of fraud attacks; Company pioneered use of behavioral analytics, since become proven to address the widest array of attacks including malware attacks, human schemes and various combinations of the two. This approach is so successful it is recommended to by industry experts and regulatory agencies With our success, expanded use of behavioral analytics to new channels and new payment types Established Industry Experts Not just our advanced technology that makes us unique – we offer our customers deep expertise Fraud intelligence and operational teams with fraud, fraud prevention, operational and financial crimes experience Use this expertise to help our customers and are active in the industry with groups such as FS-ISAC, NACHA, and more to contribute to the overall industry effort to fight fraud in financial institutions Community our customers not only benefit from our advanced technology and intelligence, but also from each other. We have 250 financial institutions that have invested in FraudMAP. They are an active group of professionals eager to engage to share and learn to be better at fraud prevention and running their operations.