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Steve Hamby

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3 Key IT Trends That Will Drive Information Security Evolution

Posted: 08/26/11 05:23 PM ET

Information security is defined by emerging IT trends. I group the past information security focus timeline into three eras, with each era evolving the past era's contributions.

  1. Physical Access Era (pre 1975): IT was air-gapped in most cases during this era. If you had physical access to an IT asset, then you were trusted with full access to all information.
  2. Security Controls Era (1975 to 2000): In 1976, IBM released RACF to provide resource access controls for different users or groups of users. As IT networking grew, security controls for networks (e.g., firewalls) were implemented. The Internet, and specifically e-commerce, brought additional security controls including federated identity, single sign-on (SSO), encryption and many others. Hacker attacks and viruses resulted in creation of additional security controls for anti-virus, spam-ware, intrusion detection, etc. Security was a reactionary model where IT responded to expected near-term or already experienced threats.
  3. Security Risk Era (2000 to present): The new millennium ushered in more complex threats, but also a more strategic approach to security -- risk assessment. Whether forced by Sarbanes-Oxley or scared by Digital Pearl Harbor, IT management began a more proactive approach to security. Risk assessments focused on adversarial perspective (threats an adversary can exploit) and general defensive information security measures.

As in these past eras, information security evolution will continue to be defined by IT trends prevalent at the time. Current emerging IT trends, specifically cloud computing and Semantic Web, will impact information security in the future. Meanwhile, adversaries are implementing even more complex and multifaceted attacks that leverage their knowledge of the organization, its users and information. As a result, the information security evolution in the next 10 to 20 years will focus on three key areas: Infrastructure-Enhanced Security, Enhanced Threat Modeling and Semantic Security.

Infrastructure-Enhanced Security

Security will become more engrained in all levels of IT infrastructure and architecture, such as security enhancements in Internet Protocol V6 (IPv6). IT infrastructure will promote more comprehensive security solutions, from cutting-edge security enhancements created for cloud computing to hackers that leverage cloud to enhance attacks, while the decrease in the cost of disk storage will increase audit log retention and management. Cloud computing will likely reduce encryption and decryption times, promoting further adoption of these security controls, while likely demanding and promoting enhanced key strategies. Cloud computing is already having an impact on key strength assessment. Cloud computing will also promote cutting-edge, near-real-time analytics that mine vast amounts of security data to identify complex threats and detect intentional and unintentional information access and abuse for both internal and external users. Security will become more engrained in IT infrastructure, and advances in IT infrastructure will evolve information security.

Enhanced Threat Modeling

Current information security threat models primarily focuses on simple threats, such as defending against traffic on specific ports, virus detection, etc. However, adversaries are targeting organizations with complex attacks that appear completely legitimate but have devastating effects. For example, spear-phishing has an activation rate of nearly 20 to 30 percent, based on a December 2010 estimate. Current security controls might detect spear-phishing days after the final attack. To protect against these complex attacks, information security threat modeling will need to evolve. Cloud computing analytics developed for social network analysis will provide capabilities to analyze large amounts of data about users, network traffic and other interests to detect seemingly safe activities that match larger threats.

Semantic Security

Like IT, humans network to exchange information. However, information security works at a syntactic level, while humans work at a semantic level. Commonly implemented security controls can detect individual words or terms and can block entire traffic for certain ports or addresses. These security controls currently do not work at the semantic level. I may accept and trust news from a friend that "the Dow dropped 500 points today." However, I would not trust the same friend with the statement that "today's 500 point Dow drop proves the financial collapse of the United States will initiate Armageddon."

There is a difference in the semantics of these two statements, even though the core transmission is that the Dow dropped 500 points. Advances in semantic technology in conjunction with cloud computing will promote security controls that simulate human cognition and can block and/or report untrusted communications in near real-time over Internet scale data. The Semantic Security evolution will address the adoption of semantic technologies and include software agents that act on behalf of end users. Some security systems and researchers already advertise ontology models and automated reasoning, and others will follow.

A colleague reminds me that users are to security what location is to real estate -- the most important aspect of security is users, users, users, whether employees, partners, customers, adversaries or automated bots acting on behalf of one or more of these. These future information security enhancements will help IT organizations continue to focus on users and user interactions to ensure the availability, integrity and confidentiality of the organization's information.

 
 
 
 
 
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03:03 PM on 08/29/2011
Excellent piece.

Another aspect of security that is finally gaining its stride is: security awareness, and the channeling of that awareness into responses that actually can do some good. Legislation has a lot to do with this: if you have to comply with SarOx, or HIPAA, or any of a handful of other statutes which include a substantial information-security compliance payload, then of course you will make it your business to do so even if you're dragged into it kicking and screaming. But the same lipstick wears-off onto other shirt collars in the process. The practices that are written into these laws actually are(!) good ones.

An economy of scale develops which pushes hardware and software suppliers to make these best practices affordable and accessible ... not only to those who currently are obliged to follow them, but also among ("a rising tide lifts all boats") those who do not.
09:31 PM on 08/28/2011
While this is good for an article, I would suggest the OP spending more time in the trenches. This not the real story IMO. Bottom line networks and computing is complicated and detailed and is so huge that we do not have the resources to monitor effectively. Most companies do not want to spend the money or hire the man power nor the brains. A lot of this work is now being outsourced and outsourced maybe offshore. But bottom line is nothing is going to be corrected until enough harm is done. Sort of like there have to be enough fatalities at an intersection before the DOT puts up a traffic light.
10:37 AM on 09/07/2011
Maybe there is a difference in other industries compared to the industries I support, which are heavily regulated. The companies that I advise all are required by law to audit every transaction, network traffic, login, access, etc. The problem, for my clients anyway, is that this generates terabytes of data and so many false negatives that the huge staffs hired to "monitor" the security posture are unable to do so effectively. Couple this with the evolving complexity of threats that are detected much too late, and this problem becomes even more serious. These same companies and government agencies experiencing these problems all have some form of SNA analytics - whether based on "Know Your Customer" or other customer or adversary intelligence system, and many of these have deployed these analytics on internal cloud-based systems to address the "huge data" problem already. One point of this blog was to suggest that there is value in using these SNA analytics (modified of course) to address the complex security threats, as well as help with false negatives (i.e., false negatives are forwarded to these analytics before human action is taken.) If you are in an industry that is still struggling with Security 101 blocking and tackling (e.g., not monitoring your entire network, the systems and applications there in, or access to information), then I would agree with you that this blog is far from what you should be concerned with. Thank you for clarifying this blog's purpose.
12:10 PM on 08/28/2011
What companies are developing Cloud computing analytics developed for social network analysis will provide capabilities to analyze large amounts of data about users, network traffic and other interests to detect seemingly safe activities that match larger threats?
04:56 PM on 08/26/2011
I dunno. Lately, it seems that security is what stands between me and my ability to do my job.
03:39 PM on 08/27/2011
Uhh ... 'cause you're a criminal?