Security Intelligence in the Cloud

Security Intelligence: seeing through the cloud

Whenever data and applications are moved into the cloud, user access becomes an issue. Organizations must implement access controls for corporate resources both in the cloud and within the confines of the data center. The mass adoption of Cloud Computing in recent years has blurred the boundaries of the traditional network security perimeter. Implementing and managing secure and consistent access policies throughout distributed corporate resources requires security intelligence.

Security Intelligence Challenges

  • Multi-tenancy

Cloud providers share hardware resources among tenants according to standards found in their Service Level Agreements. It’s the responsibility of providers to properly isolate computing, networking, and storage resources.

  • Divided responsibility

Tenants are responsible for their assets. The precise division of responsibility will depend on the provider’s model, but ignorance is no excuse.

  • Moving targets

The cloud is constantly growing, as are a particular company’s resources. Security policies have to anticipate and manage this constant change.

Successfully facing these challenges requires both an effective strategy and a high level of transparency into system-wide operations. For example, multi-tenancy must not lead to data breaches, but tightened security cannot interrupt data availability.

Confidentiality and data integrity cannot be compromised by dividing responsibilities inefficiently. Security policies should not be broken because of unannounced policy changes in service deployment.

You’ll need security intelligence to keep on top of everything.

Secure access control to your data in the cloud

Access control is usually made up of two parts:

  1. Authentication: positive identification of a user through a password or MFA. Additionally, you can limit access by user context, allowing only access requests that originate in appropriate locations or devices.
  2. Authorization: establishing the resources a properly identified user may access.

The first step for security in the cloud is to know who is accessing what. The activities of everyone working inside your organization must be subject to significant scrutiny. And, of course, your team must be appropriately trained so they’ll know what’s expected of them.

Gaining better cloud visibility with security intelligence

Web-facing organizations are targets of more coordinated and targeted attacks against critical organizational assets – including customer databases, intellectual property, and even physical assets that are driven by information systems – than at any time in the past.

As more and more workloads move to cloud and virtual data centers, the need to track activities increases. Both effective audits and threat deterrence require security intelligence.

Security administrators typically worry about W’s: what happened, and when and where did it happen. For example, a security administrator might want to review all authentication attempts – both failed and successful – across an environment. Or he might need to know if there’s been a change to the rate of occurrence of a specific kind of event (such as the creation or deletion of virtual machines).

More specifically, cloud-based organizations are looking for better ways to:

  • Protect and track user activities across their deployments.
  • Meet audit and compliance needs for virtual resources.
  • Obtain system-wide operational intelligence.

Providing this kind of intelligence requires pulling together and analyzing data from various sources hosted in different locations.
Security intelligence, monitoring, correlating, detecting, and prioritizing
Security intelligence is a comprehensive, automated, and proactive way to identify, track, and address persistent threats. Intelligence systems collect and analyze logs from the full range of sources in real time.

For monitoring cloud activities, you would also need to collect events from the hypervisors and cloud management platforms, besides those from the traditional data center infrastructure, databases, applications, and devices.

Security Intelligence: Conclusion

Security devices that can feed an audit trail are needed for monitoring compliance and forensic investigation. The basic goal is to quickly spot essential and meaningful signals suggesting a possible attack or security risk from the great ocean of data points.

Adding a security intelligence layer with its advanced analytics can help draw of your security data together. This will allow you real-time visibility into both the data center and your cloud infrastructure. Implementing these practices will not only protect your users from cyber threats but will also provide needed transparency to reduce risks.

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