Data security involves identifying, evaluating and reducing risks related to sensitive information. Securing data against unauthorized access, use and modification helps organizations reduce the risk of operational disruptions, financial losses, legal issues, compliance penalties and reputation damage.
Today, protecting sensitive information requires far more than implementing basic security technologies such as an antivirus solution and a firewall. Modern strategies include identity and access management, data discovery and classification, change management, and user and entity behavior analytics. They are:. Your email address will not be published. Save my name, email, and website in this browser for the next time I comment.
Go Up. Netwrix Blog. Handpicked related content:. Mike Tierney. VP of Customer Success at Netwrix. Mike is responsible for the overall customer experience. He has a diverse background built over 20 years in the software industry, having held CEO, COO, and VP Product Management titles at multiple companies focused on security, compliance, and increasing the productivity of IT teams. Leave a Reply Cancel reply Your email address will not be published. GoDaddy Data Breach. Maurizio Taglioretti May 14, How to Prevent a Data Breach.
Ryan Brooks October 29, Ryan Brooks October 1, Jeff Melnick September 12, Featured tags. Before you go, grab the latest edition of our free Cyber Chief Magazine — it celebrates National Cybersecurity Awareness Month and comes packed with the resources that organizations need to defend against cyberattacks. We care about security of your data. On the road to making such a fundamental change, we must first agree that software security is not security software.
This is a subtle point often lost on development people who tend to focus on functionality. Obviously, there are security functions in the world, and most modern software includes security features, but adding features such as SSL for cryptographically protecting communications does not present a complete solution to the security problem.
Software security is a system-wide issue that takes into account both security mechanisms such as access control and design for security such as robust design that makes software attacks difficult. Put another way, security is an emergent property of a software system. A security problem is more likely to arise because of a problem in a standard-issue part of the system say, the interface to the database module than in some given security feature.
This is an important reason why software security must be part of a full life cycle approach. Microsoft has carried out a noteworthy effort under the rubric of its Trustworthy Computing Initiative.
In the fight for better software, treating the disease itself poorly designed and implemented software is better than taking an aspirin to stop the symptoms. Figure 1 specifies one set of best practices and shows how software practitioners can apply them to the various software artifacts produced during software development. Security should be explicitly at the requirements level. Security requirements must cover both overt functional security say, the use of applied cryptography and emergent characteristics.
One great way to cover the emergent security space is to build abuse cases. At the design and architecture level, a system must be coherent and present a unified security architecture that takes into account security principles such as the principle of least privilege.
Designers, architects, and analysts must clearly document assumptions and identify possible attacks. At both the specifications-based architecture stage and at the class-hierarchy design stage, risk analysis is a necessity—security analysts should uncover and rank risks so that mitigation can begin.
Disregarding risk analysis at this level will lead to costly problems down the road. External review outside the design team is often necessary. At the code level, we should focus on implementation flaws, especially those that static analysis tools —tools that scan source code for common vulnerabilities—can discover. Several vendors now address this space, and tools should see market-driven improvement and rapid maturity later this year.
As stated earlier, code review is a necessary, but not sufficient, practice for achieving secure software. Security testing must encompass two strategies: testing security functionality with standard functional testing techniques, and risk-based security testing based on attack patterns and threat models. A good security test plan with traceability back to requirements uses both strategies. By clicking sign up, you agree to receive emails from Techopedia and agree to our Terms of Use and Privacy Policy.
Software-defined security SDS is a type of security model in which the information security in a computing environment is implemented, controlled and managed by security software. It is a software-managed, policy-driven and governed security where most of the security controls such as intrusion detection, network segmentation and access controls are automated and monitored through software.
Software-defined security is typically implemented in IT environments that have minimal or no hardware-based security dependence, such as cloud computing and virtualization infrastructures.
Each new device created within the environment is automatically covered and controlled under the base security policy. By: Brad Rudisail Contributor. By: Kaushik Pal Contributor. By: Leah Zitter Contributor.
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