AGENDA

• A Preview of the 2019 NetDiligence® Cyber Claims Study
• Types of claims being covered
• Examination of cost
• Claims notice and claims handling

1. Laurie Kamaiko (M), Saul Ewing LLP
2. , Swiss Re
3. Robert Flowers, Travelers
4. Mark Greisiger, NetDiligence
5. John Mullen, Mullen Coughlin LLC

The Intro to Cyber program begins with keynote speakers, followed by panel discussions on the topics of Brokers & Underwriters and  Security & Legal Solutions.

After the program ends, attendees are invited to participate in the main conference. This program is free for all students, but you will need a special Discount Code in order to register. Seating is limited to the first 50 students who register. If you are interested in attending this free session, please email us at conferences@netdiligence.com to obtain your Discount Code.

1. Doug Brush, Brush Cyber
2. Leslie Gravel, WTW
3. George Holevas, Marsh
4. Micah Howser, NetDiligence
5. Anthony Koludrovic, Berkley Cyber Risk Solutions
6. Georgea Mancuso, Black Marjieh & Sanford LLP
7. Brookes Taney, Arete
8. Ayesha West, WTW
9. Madison Williamson, Hiscox

• Definitions
• Non-affirmative impact in non-cyber lines
• Coverage considerations
• Product development and solutions
• All Perils coverage

1. Jon Laux (M), CyberCube Analytics
2. Richard DePiero, Sompo
3. Anthony Shapella, AIG
4. Pantea Vaziri, Allianz

• State Attorney General Update
• New state regulatory frameworks
• Rival common practices and standards

1. Dave Navetta (M), Cooley LLP
2. Ryan Kriger, Office of the Attorney General of Vermont
3. Travis LeBlanc, Cooley LLP
4. Timothy Murphy, Pennsylvania Office of the Attorney General

• NIST Definitions and effective risk management
• Five Categories in NIST
• Critical activites and metrics
• Tools and services
• Tracking results

1. Drew Walter (M), Ascot Group
2. Matt Barrett, Cyber ESI
3. Robert Olsen, Ankura
4. Jon Schoonmaker, Data Risk Reduction, LLC

• The impact of cyber risk quantification to the growth of the insurance market
• Current approaches--the strengths and weaknesses
• Lessons from other types of risk
• Utilization of techniques such as Machine Learning and AI
• End goals of cyber risk quantification techniques

1. Julie Eichenseer (M), Guidewire
2. Peter Armstrong, Munich Re
3. Thomas Harvey, Moody's RMS
4. Kara Owens, Markel
5. Matthew Silley, CyberCube Analytics

• Overview of class action law and application to cybersecurity litigation
• Recent trends
• Role and importance of expert testimony
• Practical tips for companies, defense counsel and plaintiff’s counsel

1. Christina Terplan (M), Atheria Law PC
2. Doug Meal, Boston College Law School
3. James Pizzirusso, Hausfeld

• Definitions & development of this industry
• Setting standards and payouts
• Legal exposures
• Case Study: Reporting a vulnerability
• Insurance implications

1. Ronald Raether (M), Troutman Pepper
2. Deborah Chang, HackerOne
3. John Farley, Gallagher
4. Matthew Honea, Guidewire

• Keynote by Chris Rock, CEO of Siemonster and global hacking expert
• Toby Merrill Award for Excellence

• Exisiting cyber coverage approaches to bodily injury, tangible property damage, etc
• Coverage provided by non-cyber property & casulty insurance products
• Preferred approaches to coverage
• Best practices for seeeking the right coverage

1. Nick Economidis (M), Crum & Forster
2. Gail Arkin, Berkley Cyber Risk Solutions
3. Kimberly Horn, Palo Alto Networks Unit 42
4. Robert Parisi, Munich Re

• GDPR: Report on regulatory actions
• How are US companies preparing
• Other regulatory changes
• Opportunities and challenges for vendors

1. Jennifer Coughlin (M), Mullen Coughlin LLC
2. Ian Birdsey, Clyde & Co LLP
3. Michael Bruemmer, Experian
4. Ryan Kriger, Office of the Attorney General of Vermont
5. Lauren Winchester, Corvus Insurance

• Threats and vulnerabilities
• Problems incorporating into existing policies/tech stack
• Enhancing security and reducing frequency of compromises
• Investigation and remediation
• Limiting exposure in a breach

1. David Rock (M), Trium Cyber
2. Devon Ackerman, Cybereason
3. David Nides, KPMG
4. Dom Paluzzi, McDonald Hopkins

• Territorial consideration
• Nature of state sponsored attacks
• Challenges in attribution
• Coverage provisons

1. Andrew Lea (M), CNA
2. Raveem Ismail, ASR Re
3. Christopher Keegan, Brown & Brown
4. Jack Koons, Unisys
5. Josh Ladeau, Aspen Insurance

• Cyber crime and its effect on healthcare industry
• Evolution of Coverage
• Reputational Harm
• Claims handling

1. Kimberly Holmes (M), Dykema
2. James Burns, CFC
3. Mark E, Corporation Service Company
4. Cinthia Granados Motley, Dykema Gossett PLLC
5. Steve Timmerman, RedSeal

• Leveraging traditional methods of data identification in incident response
• Enhancing cyber investigations through machine learning and advanced analytics
• Efficiencies gained from using traditional e-discovery techniques
• Case studies

1. Gregory Bautista (M), Mullen Coughlin LLC
2. Larry Brown, Epiq Global
3. Deborah Hirschorn, Lockton
4. Nathan Little, Tetra Defense
5. Carolyn Purwin Ryan, Mullen Coughlin LLC

• Ransomware
• Business Email Compromise
• Insider Threat

1. Robert Rosenzweig (M), Risk Strategies
2. Jarrett Kolthoff, SpearTip
3. Michael Lotas, Arete
4. Andrew Obuchowski, Charles River Associates

• Overview of FBI Internet Crime Complaint Center (IC3) Database & the National Cyber-Forensics & Training Alliance (NCFTA)
• Importance of threat actor identification and attribution
• Threat Intelligence technology and methods

1. Vinny Sakore (M), Arete
2. Luke Emrich, Surefire Cyber
3. Richard Goldberg, Lewis Brisbois LLP
4. Ryan Leszczynski, FBI
5. Daniel Tobok, CYPFER

• Why Not?
• Law enforcement says, "Don't do it! It only encourages crime."
• You will be branded as a repeatable target
• You might not get your data back
• Then again, maybe you should
• Cyber Policies might cover this!
• Quicker and cheaper than fighting it
• Might be your only option

1. Elizabeth Dill (M), Lewis Brisbois
2. Anthony Dolce, The Hartford
3. Winston Krone, Kivu
4. Ben Stone, FBI

• Challenges of underwriting
• Unique vulnerabilities
• Cost of policies
• Regulatory oversight

1. Eric Stern (M), Kaufman Dolowich Voluck
2. , Optio
3. Doug Clare, FICO
4. Adam Cottini, CrowdStrike
5. Souwei Ford, WTW

• Challenges and opportunities
• Barriers to entry
• Why ILW are gaining traction
• What future cyber risks will propel action by the ILS?

1. Anthony Cordonnier (M), Guy Carpenter
2. Ari Chatterjee, Envelop RIsk
3. David Kaplon, BAM
4. Ian Newman, Gallagher Re

• Understand the different methods for placing business in London
• Claims authority & agreement parties
• Respective approaches on accessesing services under the policy
• Biggest area of coverage disputes
• How to ensure a positive claim experience

1. Dan Burke (M), Woodruff Sawyer
2. Lyndsey Bauer, Paragon International Insurance Brokers Ltd
3. Jamie Bouloux, EmergIn Risk
4. Tony Kriesel, Hiscox London Market
5. Mike Schmitt, Tarian Underwriting

• What is biometric information?
• How / why is it collected and used?
• Technology that collects biometric information
• Biometric privacy liability landscape and class action lawsuits
• Employment Practices Liability (EPL) and coverage issues
• Compliance with biometric privacy laws

1. Shannon Groeber (M), CFC
2. Evan Fenaroli, Philadelphia Insurance Companies
3. Doug Howard, Pondurance
4. Melissa Siebert, Cozen O'Connor

• DOJ Cyber Guidance updates
• Dos and Don'ts of monitoring your network
• How can the DOJ and FBI support victims of cyber attacks
• Lessons learned

1. Adam Saltzman (M), Buchanan Ingersoll & Rooney PC
2. Leonard Bailey, DOJ
3. Sam Rubin, Crypsis Group
4. Ben Stone, FBI
5. Joseph Swanson, Carlton Fields

• Coverage and claims
• Modeling aggregation
• Silent Cyber
• Clash coverage

1. Noel Pearman (M), AXA XL
2. Patrick Bousfield, Howden Re
3. Gina Pilla, Arch Re
4. Matthew Prevost, Chubb
5. Joshua Pyle, CyberCube Analytics