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Christopher J Wysopal, 5838 Annursnac Hill Rd, West Concord, MA 01742

Christopher Wysopal Phones & Addresses

38 Annursnac Hill Rd, Concord, MA 01742    781-5385636   

245 The Valley Rd, Concord, MA 01742    978-2545477    978-3695814   

257 Commonwealth Ave, Concord, MA 01742    978-3697269   

Truro, MA   

Bedford, MA   

17 Carol Ln, Lexington, MA 02420    781-5385636   

Corvallis, OR   

5 Orchard Rd, Bedford, MA 01730    978-3697269   

Work

Position: Professional/Technical

Education

Degree: Graduate or professional degree

Mentions for Christopher J Wysopal

Resumes & CV records

Resumes

Christopher Wysopal Photo 12

Medical Records Coordinator

Location:
9713 Nova St, Pico Rivera, CA 90660
Industry:
Consumer Services
Work:
Di Technology Group Inc.
Warehouse Team Member
Di Technology Group Inc.
Marketing Support
Link Encounter, Inc.
Project Manager
American Dental Health Providers Feb 2006 - Jul 2016
Administrative Treatment Coordinator
Wysopal Corp Nov 2003 - Jan 2006
Purchasing Clerk
Nov 2003 - Jan 2006
Medical Records Coordinator
Education:
Platt College - North Okc 1999 - 2000
Associates, Associate of Arts, Paralegal
Warren High School 1994 - 1998
Skills:
Healthcare, Healthcare Management, Patient Education, Medical Terminology, Surgery, Patient Safety, Medical Billing, Medicine, Medical Records, Hipaa, Patient Advocacy, Medical Coding, Physician Relations, Public Speaking, Emr, Microsoft Excel, Microsoft Word, Customer Service, Powerpoint, Training, Microsoft Office, Team Building, Twitter, Linkedin, Digital Marketing, Marketing, Google Analytics, Web Analytics, Pay Per Click, Content Marketing, Brand Management, Social Media Marketing, Advertising, Search Engine Optimization, Google Adwords, Email Marketing, Web Design, Small Business Management
Languages:
English
German
Certifications:
Social Selling With Linkedin
Google Analytics Essential Training
Linkedin For Business
Linkedin Advertising Fundamentals
Online Marketing Fundamentals
Web Design Fundamentals
Christopher Wysopal Photo 13

Chief Technology Officer At Veracode

Location:
Greater Boston Area
Industry:
Computer & Network Security
Experience:
Veracode (Privately Held; 51-200 employees; Computer & Network Security industry): Chief Technology Officer,  (October 2005-Present) Provide software security services to software vendors and enterprises.Symantec (Public Company; 1001-5000 employees; SYMC; Computer...
Christopher Wysopal Photo 14

Christopher Wysopal

Publications & IP owners

Wikipedia

Christopher Wysopal Photo 15

Chris Wysopal

Chris Wysopal (also known as Weld Pond) is a computer security expert and CTO of Veracode. He was a member of the high profile hacker think tank the L0pht ...

Us Patents

Assessment And Analysis Of Software Security Flaws In Virtual Machines

US Patent:
8613080, Dec 17, 2013
Filed:
Jun 7, 2011
Appl. No.:
13/154576
Inventors:
Christopher J. Wysopal - Concord MA, US
Matthew P. Moynahan - Gloucester MA, US
Jon R. Stevenson - Sudbury MA, US
Assignee:
Veracode, Inc. - Burlington MA
International Classification:
H04L 29/06
US Classification:
726 19, 726 22
Abstract:
Security analysis and vulnerability testing results are “packaged” or “bound to” the actual software it describes. By linking the results to the software itself, downstream users of the software can access information about the software, make informed decisions about implementation of the software, and analyze the security risk across an entire system by accessing all (or most) of the reports associated with the executables running on the system and summarizing the risks identified in the reports.

Assessment And Analysis Of Software Security Flaws

US Patent:
2008020, Aug 28, 2008
Filed:
Feb 15, 2008
Appl. No.:
12/031918
Inventors:
Malcolm W. Lockhart - Cary NC, US
Christopher J. Wysopal - Concord MA, US
Christopher J. Eng - Lexington MA, US
Matthew P. Moynahan - Gloucester MA, US
Simeon Simeonov - Lincoln MA, US
International Classification:
G06F 11/00
US Classification:
726 25
Abstract:
Security assessment and vulnerability testing of software applications is performed based at least in part on application metadata in order to determine an appropriate assurance level and associated test plan that includes multiple types of analysis. Steps from each test are combined into a “custom” or “application-specific” workflow, and the results of each test may then be correlated with other results to identify potential vulnerabilities and/or faults.

Assessment And Analysis Of Software Security Flaws

US Patent:
2010028, Nov 4, 2010
Filed:
Jun 21, 2010
Appl. No.:
12/819627
Inventors:
Malcolm W. Lockhart - Cary NC, US
Christopher J. Wysopal - Concord MA, US
Christopher J. Eng - Lexington MA, US
Matthew P. Moynahan - Gloucester MA, US
Simeon Simeonov - Lincoln MA, US
International Classification:
G06F 21/00
H04L 9/32
US Classification:
713150, 726 25, 726 5
Abstract:
Security assessment and vulnerability testing of software applications is performed based at least in part on application metadata in order to determine an appropriate assurance level and associated test plan that includes multiple types of analysis. Steps from each test are combined into a “custom” or “application-specific” workflow, and the results of each test may then be correlated with other results to identify potential vulnerabilities and/or faults.

Assessment And Analysis Of Software Security Flaws

US Patent:
2011017, Jul 14, 2011
Filed:
Sep 17, 2010
Appl. No.:
12/884544
Inventors:
Christopher J. Wysopal - Concord MA, US
Christopher J. Eng - Lexington MA, US
Matthew P. Moynahan - Gloucester MA, US
International Classification:
G06F 21/00
G06F 21/24
US Classification:
726 19, 726 25
Abstract:
Security analysis and vulnerability testing results are “packaged” or “bound to” the actual software it describes. By linking the results to the software itself, downstream users of the software can access information about the software, make informed decisions about implementation of the software, and analyze the security risk across an entire system by accessing all (or most) of the reports associated with the executables running on the system and summarizing the risks identified in the reports.

Automated Behavioral And Static Analysis Using An Instrumented Sandbox And Machine Learning Classification For Mobile Security

US Patent:
2013009, Apr 18, 2013
Filed:
Sep 14, 2012
Appl. No.:
13/617568
Inventors:
Theodora H. Titonis - Berkeley CA, US
Christopher J. Wysopal - Bedford MA, US
Assignee:
Veracode, Inc. - Burlington MA
International Classification:
G06F 21/56
US Classification:
726 24, 726 22
Abstract:
The present system includes a computer-networked system that allows mobile subscribers, and others, to submit mobile applications to be analyzed for anomalous and malicious behavior using data acquired during the execution of the application within a highly instrumented and controlled environment for which the analysis relies on per-execution as well as comparative aggregate data across many such executions from one or more subscribers.

Automated Behavioral And Static Analysis Using An Instrumented Sandbox And Machine Learning Classification For Mobile Security

US Patent:
2018002, Jan 25, 2018
Filed:
May 16, 2017
Appl. No.:
15/596461
Inventors:
- Burlington MA, US
Christopher J. Wysopal - Concord MA, US
Assignee:
Veracode, Inc. - Burlington MA
International Classification:
G06F 21/56
G06N 99/00
H04W 12/12
H04L 29/06
Abstract:
The present system includes a computer-networked system that allows mobile subscribers, and others, to submit mobile applications to be analyzed for anomalous and malicious behavior using data acquired during the execution of the application within a highly instrumented and controlled environment for which the analysis relies on per-execution as well as comparative aggregate data across many such executions from one or more subscribers.

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