Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Vulnerabilities / Threats

6/22/2009
04:15 PM
Dark Reading
Dark Reading
Products and Releases
50%
50%

MEGA Expands GRC Solution With Risk Management Capability

MEGA GRC Suite will contain an expanded risk quantification and analytics component based on Bayesian scenario calculation

RAYNHAM, Mass., June 22, 2009 " MEGA, a leader in governance, risk, and compliance (GRC) software solutions, has integrated a powerful mathematical tool to measure risk exposure into its MEGA GRC Suite, making it the first time such a capability has become part of a comprehensive GRC solution.

The MEGA GRC Suite will contain an expanded risk quantification and analytics component based on Bayesian scenario calculation, a proven, but advanced means to produce the complex operational risk models that experts agree are the best way to measure risk exposure and aid in decision making.

The Bayesian modeling technique provides a simple, yet robust way of combining existing data and knowledge in the form of probabilities, while keeping uncertainties in the data and knowledge explicit. These principles are used to model complex real-world problems in a unified framework.

The measurement and modeling of operational risk has become more essential within many industries, but especially for banks and insurance companies that must adhere to the Basel II and Solvency II regulations, which require alignment of capital reserves with potential risks. As those regulations are adopted by more countries, banks and insurers around the world will need the means to meticulously measure risk exposure.

"This new capability will provide operational risk managers with more detailed and reliable information about a company's risk exposure," noted Lucio de Risi, CEO, MEGA. "These improved estimations of potential risks will help executives make better business decisions about corporate priorities, to help reduce the company's exposure to possible liabilities."

Operational risk management has become a standard practice in many industries, but there has been a shortage of sophisticated tools with comprehensive methods to produce operational risk models that supply the important data that executives need to make business decisions.

Operational risk managers, corporate executives, and board members will be interested in this progressive addition to the MEGA GRC Suite because it adds yet another innovative capability to help enterprises accurately and swiftly identify and manage risks. The MEGA GRC Suite includes three business solutions " GRC Risk, GRC Compliance and Control, and GRC Audit " that help corporations solve pressing issues in risk identification and control, compliance, and audit.

This year, the MEGA GRC Suite was named as the best solution for integrated risk management and control by Yphise, an independent company that conducts research to help organizations make sound IT investment decisions for boosting their business performance.

The new risk quantification and analytics component will be available in the MEGA GRC Suite in July.

About MEGA MEGA provides enterprise architecture, business process analysis, and governance, risk, and compliance solutions, with 70,000 users worldwide. Clients include AT&T, DirecTV, Morgan Stanley, NASA, Nissan, and Wyeth, and the US Departments of Agriculture, Homeland Security, and Transportation. www.mega.com

Comment  | 
Print  | 
More Insights
Comments
Threaded  |  Newest First  |  Oldest First
Commentary
Ransomware Is Not the Problem
Adam Shostack, Consultant, Entrepreneur, Technologist, Game Designer,  6/9/2021
Edge-DRsplash-11-edge-ask-the-experts
How Can I Test the Security of My Home-Office Employees' Routers?
John Bock, Senior Research Scientist,  6/7/2021
News
New Ransomware Group Claiming Connection to REvil Gang Surfaces
Jai Vijayan, Contributing Writer,  6/10/2021
Register for Dark Reading Newsletters
White Papers
Video
Cartoon Contest
Write a Caption, Win an Amazon Gift Card! Click Here
Latest Comment: Google's new See No Evil policy......
Current Issue
The State of Cybersecurity Incident Response
In this report learn how enterprises are building their incident response teams and processes, how they research potential compromises, how they respond to new breaches, and what tools and processes they use to remediate problems and improve their cyber defenses for the future.
Flash Poll
How Enterprises are Developing Secure Applications
How Enterprises are Developing Secure Applications
Recent breaches of third-party apps are driving many organizations to think harder about the security of their off-the-shelf software as they continue to move left in secure software development practices.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2021-24368
PUBLISHED: 2021-06-20
The Quiz And Survey Master – Best Quiz, Exam and Survey Plugin WordPress plugin before 7.1.18 did not sanitise or escape its result_id parameter when displaying an existing quiz result page, leading to a reflected Cross-Site Scripting issue. This c...
CVE-2021-31664
PUBLISHED: 2021-06-18
RIOT-OS 2021.01 before commit 44741ff99f7a71df45420635b238b9c22093647a contains a buffer overflow which could allow attackers to obtain sensitive information.
CVE-2021-33185
PUBLISHED: 2021-06-18
SerenityOS contains a buffer overflow in the set_range test in TestBitmap which could allow attackers to obtain sensitive information.
CVE-2021-33186
PUBLISHED: 2021-06-18
SerenityOS in test-crypto.cpp contains a stack buffer overflow which could allow attackers to obtain sensitive information.
CVE-2021-31272
PUBLISHED: 2021-06-18
SerenityOS before commit 3844e8569689dd476064a0759d704bc64fb3ca2c contains a directory traversal vulnerability in tar/unzip that may lead to command execution or privilege escalation.