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May 22, 2006 | Comments: (0)
False Positives in IT Equal Wasted $$$
What do the "type-ahead" features on many mobile devices and the "auto formatting" feature in Microsoft Word have in common? They're both infuriating when you're in a hurry to complete a message or doc, and the thing is urging you in a direction you don't want or need to go. For all the intelligence they build into software, humans still tend to know exactly what they want before the machine does, and sometimes the "AI" stuff can be more annoying than productive.
I think the enterprise IT equivalent to these types of consumer AI snafus is when false positives trigger unwanted alerts or events.
We're all familiar with the email spam filtering problem. If you put the filters on strong enough to keep the spam off, you're also invariably going to block some valid messages.
Then you have the content monitoring systems, where keeping proprietary company info from being divulged electronically is the impetus ... and intelligent agents block certain emails from being transmitted. False positives with these types of systems are extremely disruptive to business productivity. Btw: here's an interesting Computerworld article about content monitoring systems.
The new class of intrusion detection systems, meanwhile, are getting more sophisticated at blocking unauthorized users and putting them into honey pots -- where they get locked out. But as the mousetraps get better, it becomes tougher to enable the people on the "white list" to consistently have the access they need, and the configuration complexities are increasing. This recent Network World article talks about common false positives specific to Wi-Fi intrusion monitoring.
And with the big network and systems monitoring tools, the annoyances typically manifest themselves in the form of "false negative" alerts rolling in for events that are not important -- where the help desk gets pinged with too many irrelevant or insignificant alerts, you have noise that may block out the REAL problems or situations that need attention.
The bottom line across all intelligent agents and alerting systems is that they're only as good as the human touch on the back end that's fine-tuning them. Each require constant input -- alerting the system to new resources in an environment; correcting false-positives or false-negatives as they happen so the system can 'learn;' etc. So while organizations are sold on the autonomic / automated functionality of these systems, each typically require a significant tax in the form of human labor for babying them along and teaching them about the desired result.
Posted by Harper Mann on May 22, 2006 12:15 PM
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