Archive for the ‘AI’ tag
iViz Tech Solutions : AI based Hacking, ON Demand
Quite an interesting concept of using AI to simulate Human hacker(s) to attack a system to detect vulnerabilities and fix them.
As per my understanding, its almost an impossible task to emulate even a lay man’s brain. Then is it possible at all to think like a hacker?
Hackers hired to help companies discover internal security threats may soon be out of a job.
Just ask IDG Ventures India, which pumped $2.5 million into iViz Tech Solutions, an Indian startup that promises on-demand software that does penetration testing, or simulated attacks on systems, to detect network weaknesses much in the way a hacker would.
Incubated in one of India’s top technology institutes in 2005, iViz develops artificial intelligence-based products that simulate an intelligent hacker to detect the security flaws in a system or network and suggest corresponding remedies.
Company co-founders Bikash Barai and Nilanjan De, graduates of the Indian Institute of Technology–Kharagpur, say that iViz uses an innovative technology that determines the threat in a network, finds the complex multi-stage attack paths that cannot be detected by normal tools and comes up with solutions for such attacks.
Smart Phones With Artificial Intelligence
The mobile phone has long ceased being a simple two-way communication device: today’s handheld is a mini personal computer, complete with multimedia players, maps, and Web browsers.
Now researchers at Palo Alto Research Center (PARC) want to push the phone farther. They have developed software that turns a phone into a thoughtful personal assistant, one that helps people find fun things to do. The software, called Magitti, uses a combination of cues–including the time of day, a person’s location, her past behaviors, and even her text messages–to infer her interests. It then shows a helpful list of suggestions, including concerts, movies, bookstores, and restaurants.
When a person first opens a phone that has Magitti software, she will instantly see a list of recommendations. If it’s noon, the software might suggest local restaurants. If it’s 3 P.M., it might recommend a nearby boutique for shopping. If it’s 9 P.M., a list of pubs might appear. Over time, these recommendations will change as Magitti learns more about the user’s behaviors and preferences.
The software employs artificial-intelligence algorithms that have traditionally been used in research to make tailored recommendations. If, for instance, a person prefers to eat inexpensive lunches and more-expensive dinners, Magitti will pick up on this (by comparing the GPS location of the restaurant with a database of establishments) and offer up corresponding recommendations.
Source: Technology Review: Smart Phone Suggests Things to Do
