- The Dropbox data breach is a warning to update passwords
- Adobe patches critical vulnerability in ColdFusion application server
- Crooks are selling a skimmer that works on all chip card readers
- Dropbox changed passwords after 68M accounts were compromised
- Okta's API access product targets the trend toward services
Seven Steps to Effective Data Governance
Creating a framework to ensure the confidentiality, quality, and integrity of data – the core meaning of data governance – is essential to meet both internal and external requirements, such as financial reporting, regulatory compliance, and privacy policies. At its best, data governance roots out risk – both business and compliance risk – by increasing oversight. This white paper provides seven steps for taking such an approach, concluding with a real world example, taking an incremental approach using a repeatable framework that is a practical, proven strategy that any size organization can implement to suit their immediate and long-term needs and budget.
Please supply your email address to receive this whitepaper
- The Future is Encrypted. What's your defense?
- How to Use Metadata to Make Data-Driven Decisions - Download NOW!
- Join special guest Jeff Lanza, Retired FBI Agent (USA), Ty Miller, Mark Gregory & Andy Solterbeck for a discussion on ransomware security
- AISA 2016 | Hear from Bruce Schneier, David Lacey, Rik Ferguson and many more | 18-20th October Register Today
- See Your Traffic for What It Really Is
- Harnessing the Power of Metadata for Security: FIND OUT MORE
- The Future is Encrypted. Manage It.
- Check your Future Risk
- Start your cloud journey. Register now and learn a wide range of AWS cloud solutions covered in the monthly AWS Webinar Series.
- Digital chief and data key to City of Sydney's community approach, says Forster
- How data insight is helping transform Cure Brain Cancer Foundation's marketing and comms
- GroupM goes for 100% viewability with Twitter ad campaign trials
- A day in the working life of tomorrow’s marketer
- After bias furor, Facebook replaces people with algorithms