What three actions are limitations when running IPS in promiscuous mode? (Choose three.)
A. deny attacker
B. deny packet
C. modify packet
D. request block connection
E. request block host
F. reset TCP connection
Answer: A,B,C
Tuesday, 1 October 2019
Wednesday, 27 December 2017
Cisco 210-260 Question Answer
Which two statements about stateless firewalls are true? (Choose two.)
A. They compare the 5-tuple of each incoming packet against configurable rules.
B. They cannot track connections.
C. They are designed to work most efficiently with stateless protocols such as HTTP or HTTPS.
D. Cisco IOS cannot implement them because the platform is stateful by nature.
E. The Cisco ASA is implicitly stateless because it blocks all traffic by default.
Answer: A,B
Which three statements about host-based IPS are true? (Choose three.)
A. It can view encrypted files.
B. It can have more restrictive policies than network-based IPS.
C. It can generate alerts based on behavior at the desktop level.
D. It can be deployed at the perimeter.
E. It uses signature-based policies.
F. It works with deployed firewalls.
Answer: A,B,C
A. They compare the 5-tuple of each incoming packet against configurable rules.
B. They cannot track connections.
C. They are designed to work most efficiently with stateless protocols such as HTTP or HTTPS.
D. Cisco IOS cannot implement them because the platform is stateful by nature.
E. The Cisco ASA is implicitly stateless because it blocks all traffic by default.
Answer: A,B
Which three statements about host-based IPS are true? (Choose three.)
A. It can view encrypted files.
B. It can have more restrictive policies than network-based IPS.
C. It can generate alerts based on behavior at the desktop level.
D. It can be deployed at the perimeter.
E. It uses signature-based policies.
F. It works with deployed firewalls.
Answer: A,B,C
Wednesday, 22 November 2017
Cisco AI Emerges
Artificial intelligence (AI) is clearly one of the hottest topics today, and I recently had the opportunity to see and hear about what the Cisco Collaboration Group is doing in this area. At a recent Cisco "AI Meets Collaboration" event for the press and analysts with Cisco's Emerge Lab, the company discussed how AI is used to "improve the way employees of our customers work together".
As noted by Rowan Trollope, Senior Vice President and General Manager of IoT and Applications at Cisco, "We focus primarily on teamwork, we offer a wide range of technologies to facilitate this. Then he said, "How do we help?" Teams work better, not conferences or messages, it's beyond that, "environmental informatics and artificial intelligence will offer radically better experiences".
Trollope went on to describe the differences between AI at home (think Alexa or Siri) and the workplace. There are four key areas of difference, which include user identification, context understanding, environment, and security. For example, Trollope noted that the context of virtual home assistants involves functions such as ordering tickets, asking questions about the weather, or playing a song. The context is harder and more relevant for companies, since each company has its own jargon, which requires in-depth domain knowledge for each industry. When it comes to identity, it's a lot easier for a smartphone or device like Amazon Echo in the family room to identify the user, but it's much more difficult in a meeting room where there is different users throughout the day.
Jonathan Rosenberg, Technical Director of Cisco's Business Collaboration Division, explained how Cisco "creates artificial intelligence for the job, which is different from solving the problem for the home." In this interview, Rosenberg explains how Cisco differentiates itself in AI by focusing on the meetings and teams that work together within the enterprise, as well as on key initiatives that Cisco is working on.
Cisco Spark Assistant
The new Cisco Spark Assistant was the main attraction of the day. Spark Assistant is based on the intelligent conversational interfaces developed by MindMeld, which Cisco acquired in May. The voice assistant is based on MindMeld's natural language understanding platform, which allows users to talk naturally with it. Unlike consumer-based solutions such as Alexa or Siri, Spark Assistant is designed to automate work tasks to help attendees be more productive and designed for meetings and control of Cisco in-room video collaboration devices, such as Videoconferencing system activated for Spark. Users can simply say "Hey Spark" and then say commands like "Join my meeting", "Mute the microphone", "Place a call to John", and so on. You can automate device features, such as adjusting the volume or recording a meeting.
In this video interview, Tim Tuttle, founder and CEO of MindMeld (now CTO in Cisco Cognitive Collaboration Group), talks about Cisco Spark Assistant and its usefulness for common meeting tasks based on simple voice commands (note: sorry for background noise during the video).
Spark Assistant will be available early next year and will work with Cisco videoconference devices. Over time, it will be available in phones and other types of devices. Spark Assistant will initially be available for the Cisco Spark Room Series, which includes the new Cisco Spark Room 70, an update to the MX800.
Asked about future individual productivity projects rather than teams, Trollope explained that Spark Assistant will be available everywhere: in Spark Client, on mobile devices, etc., but it will look different and have a different purpose. Conference room devices are similar to Apple TV, while desktop assistants are more likely to have a chat interface with long conversations. However, Trollope pointed out that there are currently so many difficult points to resolve regarding the meeting room that Cisco wants to focus on this area in the near term. We all know how painful it can be to participate in a videoconference and attend the conference. Most companies will therefore be happy to eliminate the frustration and make this experience more enjoyable.
Video room systems
To have a useful assistant for meetings, the assistant needs to know who is in the room, who is speaking and what is going on in the room. This requires not only the artificial intelligence conversation capabilities offered by MindMeld, but also intelligent hardware and an advanced computing platform that can do real-time face recognition, speech recognition, and language comprehension. Meeting rooms with many participants require specially designed hardware for image detection, noise suppression, and other features. Cisco is working with the Nvidia Jetson platform and is investing in artificial intelligence technology for capabilities such as Intelligent Proximity Detection, Face Recognition and Recognition to recognize and identify who is in the room and who spoken.
Cisco's next-generation video system uses artificial intelligence to identify annoying noises during meetings and videoconferences, such as dog barking or keyboard input, and can block the sound of the meeting. The system has been trained to sample data for different breeds of dogs, different sirens from around the world, different keyboard brands and other annoying noises.
Machine learning and AI are used in Cisco video devices to perform functions such as camera tracking, face recognition, and noise cancellation. For example, to create a better experience, the angle of the camera can be adapted and modified for people entering and leaving a room. During videoconferencing, the system learns and identifies who is in the room, and the camera enlarges the active speaker, or pan when others enter the room, capturing the view of the room digitally. The Cisco video room system can also recognize faces and insert "name tags" into the video to identify them.
As Snorre Kjesbu, general manager and vice president of Cisco Collaboration, notes in the following video, Cisco is using machine learning to make the meeting room experience more intuitive.
VR and more
In addition to Spark Assistant, we also saw demonstrations of Cisco TeamTV and Cisco Spark in virtual reality. TeamTV, described as a television channel always distributed to groups, is made for "small, random, informal meetings without meetings" that turn teams into tribes. It is a listening system and allows participants to interact informally on projects, or simply to discuss (the IA equivalent of the water cooler or the coffee maker?). The demonstration showed that TeamTV's Artificial Intelligence Assistant is still listening, so that when a team discusses a particular topic, the hearing aid listens to the key words of the discussion and extracts relevant information about the topic. , providing additional resources helpful team. 210-260 Braindumps
Although I do not think TeamTV is a short-term success, Trollope has eased my concerns about privacy by explaining that, while the TV is always on and always listening, it's easy to turn on or off. disable the waves.
Virtual reality was also on display, with Cisco having demonstrated Spark in virtual reality, currently available in the Oculus store. Users can take, open, share and present files, draw on whiteboards, interact with 3D objects, participate in and collaborate in meetings without being physically in the meeting room. Through the use of the Artificial Intelligence Wizard, the system was able to quickly learn about different topics and provide relevant resources. While it is true that it is early for virtual collaboration, it is clearly the direction we are taking and Cisco is moving forward.
As noted by Rowan Trollope, Senior Vice President and General Manager of IoT and Applications at Cisco, "We focus primarily on teamwork, we offer a wide range of technologies to facilitate this. Then he said, "How do we help?" Teams work better, not conferences or messages, it's beyond that, "environmental informatics and artificial intelligence will offer radically better experiences".
Trollope went on to describe the differences between AI at home (think Alexa or Siri) and the workplace. There are four key areas of difference, which include user identification, context understanding, environment, and security. For example, Trollope noted that the context of virtual home assistants involves functions such as ordering tickets, asking questions about the weather, or playing a song. The context is harder and more relevant for companies, since each company has its own jargon, which requires in-depth domain knowledge for each industry. When it comes to identity, it's a lot easier for a smartphone or device like Amazon Echo in the family room to identify the user, but it's much more difficult in a meeting room where there is different users throughout the day.
Jonathan Rosenberg, Technical Director of Cisco's Business Collaboration Division, explained how Cisco "creates artificial intelligence for the job, which is different from solving the problem for the home." In this interview, Rosenberg explains how Cisco differentiates itself in AI by focusing on the meetings and teams that work together within the enterprise, as well as on key initiatives that Cisco is working on.
Cisco Spark Assistant
The new Cisco Spark Assistant was the main attraction of the day. Spark Assistant is based on the intelligent conversational interfaces developed by MindMeld, which Cisco acquired in May. The voice assistant is based on MindMeld's natural language understanding platform, which allows users to talk naturally with it. Unlike consumer-based solutions such as Alexa or Siri, Spark Assistant is designed to automate work tasks to help attendees be more productive and designed for meetings and control of Cisco in-room video collaboration devices, such as Videoconferencing system activated for Spark. Users can simply say "Hey Spark" and then say commands like "Join my meeting", "Mute the microphone", "Place a call to John", and so on. You can automate device features, such as adjusting the volume or recording a meeting.
In this video interview, Tim Tuttle, founder and CEO of MindMeld (now CTO in Cisco Cognitive Collaboration Group), talks about Cisco Spark Assistant and its usefulness for common meeting tasks based on simple voice commands (note: sorry for background noise during the video).
Spark Assistant will be available early next year and will work with Cisco videoconference devices. Over time, it will be available in phones and other types of devices. Spark Assistant will initially be available for the Cisco Spark Room Series, which includes the new Cisco Spark Room 70, an update to the MX800.
Asked about future individual productivity projects rather than teams, Trollope explained that Spark Assistant will be available everywhere: in Spark Client, on mobile devices, etc., but it will look different and have a different purpose. Conference room devices are similar to Apple TV, while desktop assistants are more likely to have a chat interface with long conversations. However, Trollope pointed out that there are currently so many difficult points to resolve regarding the meeting room that Cisco wants to focus on this area in the near term. We all know how painful it can be to participate in a videoconference and attend the conference. Most companies will therefore be happy to eliminate the frustration and make this experience more enjoyable.
Video room systems
To have a useful assistant for meetings, the assistant needs to know who is in the room, who is speaking and what is going on in the room. This requires not only the artificial intelligence conversation capabilities offered by MindMeld, but also intelligent hardware and an advanced computing platform that can do real-time face recognition, speech recognition, and language comprehension. Meeting rooms with many participants require specially designed hardware for image detection, noise suppression, and other features. Cisco is working with the Nvidia Jetson platform and is investing in artificial intelligence technology for capabilities such as Intelligent Proximity Detection, Face Recognition and Recognition to recognize and identify who is in the room and who spoken.
Cisco's next-generation video system uses artificial intelligence to identify annoying noises during meetings and videoconferences, such as dog barking or keyboard input, and can block the sound of the meeting. The system has been trained to sample data for different breeds of dogs, different sirens from around the world, different keyboard brands and other annoying noises.
As Snorre Kjesbu, general manager and vice president of Cisco Collaboration, notes in the following video, Cisco is using machine learning to make the meeting room experience more intuitive.
VR and more
In addition to Spark Assistant, we also saw demonstrations of Cisco TeamTV and Cisco Spark in virtual reality. TeamTV, described as a television channel always distributed to groups, is made for "small, random, informal meetings without meetings" that turn teams into tribes. It is a listening system and allows participants to interact informally on projects, or simply to discuss (the IA equivalent of the water cooler or the coffee maker?). The demonstration showed that TeamTV's Artificial Intelligence Assistant is still listening, so that when a team discusses a particular topic, the hearing aid listens to the key words of the discussion and extracts relevant information about the topic. , providing additional resources helpful team. 210-260 Braindumps
Although I do not think TeamTV is a short-term success, Trollope has eased my concerns about privacy by explaining that, while the TV is always on and always listening, it's easy to turn on or off. disable the waves.
Virtual reality was also on display, with Cisco having demonstrated Spark in virtual reality, currently available in the Oculus store. Users can take, open, share and present files, draw on whiteboards, interact with 3D objects, participate in and collaborate in meetings without being physically in the meeting room. Through the use of the Artificial Intelligence Wizard, the system was able to quickly learn about different topics and provide relevant resources. While it is true that it is early for virtual collaboration, it is clearly the direction we are taking and Cisco is moving forward.
In general, I was very impressed by what I saw and heard at Cisco Emerge Lab, and it is clear that Cisco has a vision and is committed to investing and reusing AI for business. Although not as sexy as consumer AI, the use of artificial intelligence to improve the way business users meet and collaborate is undoubtedly an admirable goal. Cisco is in an excellent position to be a leader in this field, as demonstrated by Spark Assistant, and we are only at the beginning. I give the company the merit of taking its place in this emerging area, making smart acquisitions and showing its leadership and vision.
Cisco Is linKing Up With Interpol To Share Data About The Cyber Criminals It Finds Both On And Off Its Network
- On Tuesday, Cisco announced that it will share "cybercrime" data with the international police network Interpol.
- The data includes information and analysis on security threats that Cisco already adds through an existing research arm, Cisco Talos.
- The company said it will not share information about the vulnerabilities of customers.
- It is a warm nod to the application of the law in an industry that generally requires search warrants before sharing any data.
Cisco will now share "cybercrime" data with the international police network Interpol, the company announced on Tuesday. That information includes "threat intelligence" to support Interpol's work "focusing both on 'pure cybercrime' and on crimes committed to help member countries identify cyber attacks and their perpetrators."
A spokeswoman for the company told Business Insider that Cisco will not share customer data with Interpol, which includes data on individual customer networks or security vulnerabilities.
Cisco is a large provider of enterprise hardware, such as routers and switches, which functionally serve as a backbone for the entire Internet. This means that the company has access to data about some of the largest corporations and governments in the world.
Part of the data shared with Interpol will come from Cisco Talos, an existing security research group that aggregates and analyzes security data. Cisco said its security technology currently blocks 19.7 billion "threats" per day.
US technology companies generally require orders before sharing data
Although a letter is politically neutral, Interpol has been accused of benefiting some countries over others. In October, for example, Russia was allowed to put a British critic of Vladimir Putin on the wanted list of Interpol in what was considered a politically motivated request.
Although many technology companies have government agencies as clients, Cisco's collaboration with Interpol is a big shift from the historical approach of technology to data requests from law enforcement agencies. Companies like Apple and Twitter, for example, generally require orders before sharing any information with the police.
However, Cisco is billing this partnership as a necessary step to address global cybersecurity challenges.
John Stewart, senior vice president and director of security at Cisco, said in a statement that it is up to the public and private sectors to address cybersecurity with "the same force."
"We are pleased to work with Interpol to exchange intelligence on threats and find other knowledge exchange opportunities to fight cybercrime around the world," said Stewart.
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