Glance: TensorFlow 2.14

1. Image classification models: These models can be used to sort photos into different categories, like dogs, cats, and cars, among others.
2. Object detection models: Object detection models are used to find things in pictures and videos, like people, cars, and buildings. They can also be used to find other things. The sensor can detect and lift structures, cars, and even people.
3. Natural language processing (NLP) models: NLP models are used to understand and analyze human language, like written text and spoken words. NLP means "natural language processing." NLP is short for "natural language processing."
4. Machine translation models: Translating text from one language to another is called machine translation. This is done using special computer models.

1. Large community: It has a big group of people who are involved and active. This group includes both users and software developers. This group is made up of two kinds of people. This means there are many resources available to help you start using it and solve any problems you may encounter. These tools can assist you in beginning with TensorFlow and solving any problems you may encounter.
2. Flexibility: One of the main reasons why it is popular is because it is very flexible. You can use it to create many different machine learning and artificial intelligence models, from simple ones to very complex ones.
3. Scalability: It can grow in size, which is a characteristic it has. You can create models that work on different types of devices, like laptops or big groups of computers.
4. Open source: The TensorFlow project is available to everyone and uses open source software. This means that there are no charges for using it, and anyone can participate in its development process.

Knock knock, Can you guess what CableLabs AI does? 

Can't wrap your head around Machine Learning Frameworks?

1. It has been made by Google. It helps run all of Google's automatic services, like the search engine, image recognition, and machine translation.
2. It powers both the facial recognition technology and the algorithm that determines what appears in the news feed.
3. Twitter uses Tensor   Flow to power its spam filtering system and recommendation algorithm. TensorFlow acts as the main engine for these features on the platform.

Using intelligent technology, Cylance AI safeguards organizations from diverse threats. IT is created to protect you from both known and unknown threats.

• Malware: With its ability to detect and thwart novel malware, Cylance AI sets a new standard.
• Phishing: Cylance AI can identify and thwart attempts at deception through fake emails and websites.
• Ransomware: Cylance AI's advanced capabilities identify and neutralize ransomware attacks.
• Data exfiltration: Cylance AI can detect and prevent data theft.
• Botnets: Cylance AI identifies and neutralizes botnets, protecting infected computers from further harm.

Cylance AI uses a variety of techniques to detect threats, including:

1. Machine learning: By harnessing the potential of machine learning, Cylance AI detects and neutralizes unseen threats.
2. Behavioral analysis: Cylance AI detects threats by analyzing how files and processes behave, unlike traditional detection methods.
3. Threat intelligence: With constant surveillance, Cylance AI shields you from potential harm.
4. Continuous monitoring: Cylance AI proactively neutralizes threats through isolated infected devices or internet activity blocking.

Here are some of the key features of Cylance AI:

1. Machine learning
2. Behavioral analysis
3. Threat intelligence
4. Continuous monitoring
5. Automated response
6. Reporting
7. Cloud-based deployment

Leveraging smart technology, Vectra AI identifies and halts adverse activities. The AI functionality enables it to detect and prevent harmful situations. It is made to keep organizations safe from different dangers, such as:

1. Advanced persistent threats (APTs): These targeted attacks are designed to circumvent standard security protocols.
2. Zero-day threats: Lack of recognition poses a significant risk to security from unexpected sources.
3. Fileless malware: This type of malware operates without relying on any files.
4. Ransomware: This menacing form of software, known as malware, captures and holds hostage essential files before issuing ransom demands.
5. Data exfiltration: Removing data without permission can result in dire consequences for a business, termed data exfiltration.

Vectra AI uses a variety of techniques to detect threats, including:

• AI-powered behavioral analysis: Artificial intelligence analyzes the behavior of files and processes to uncover threats missed by conventional detection techniques that rely on predetermined signs.
• Machine learning: Vectra AI leverages advanced technology to detect and prevent potential harm before it becomes a reality.
• Threat intelligence: Armed with knowledge of potential dangers, Vectra AI swiftly detects and eliminates them.
• Continuous monitoring: Vectra AI vigilantly monitors your environment to ensure safety.
• Automated response: With the capacity to isolate infected devices and cease harmful internet activity, Vectra AI acts swiftly in response to dangers.

Here are some of the key features of Vectra AI:

1. AI-powered behavioral analysis: Vectra AI uses artificial intelligence to study how files and processes behave. It looks for dangerous things that regular security systems might not notice because they rely on specific patterns.
2. Machine learning: Vectra AI uses advanced technology to detect and stop dangerous things that we don't know about yet.
3. Threat intelligence: Vectra AI uses information about potential dangers to identify and stop threats that are known to be harmful.
4. Continuous monitoring:  Vectra AI constantly watches your environment for dangers.
5. Automated response: Vectra AI can automatically react to dangers by isolating infected devices or stopping harmful internet activity.
6. Reporting: Vectra AI gives you clear and detailed information about the dangers it has found and stopped.
7. Cloud-based deployment: Vectra AI can be used in the cloud, which means it can be easily expanded and controlled.

Trend Micro Deep Discovery is a tool that finds and stops dangerous things using smart methods. It can detect and block threats like:

1. Zero-day threats: Deep Discovery can detect and block zero-day threats, which are threats that are not yet known to antivirus or other security solutions.
2. Advanced persistent threats (APTs): Deep Discovery can detect and block APTs, which are targeted attacks that are designed to evade traditional security solutions.
3. Fileless malware: Deep Discovery can detect and block fileless malware, which is malware that does not rely on files to execute.
4. Ransomware: Deep Discovery can detect and block ransomware, which is malware that encrypts files and demands a ransom payment to decrypt them.
5. Data exfiltration: Deep Discovery can detect and block data exfiltration, which is the unauthorized transfer of sensitive data out of an organization.

Deep Discovery uses a variety of techniques to detect threats, including:

• Behavioral analysis: Deep Discovery examines how files and processes behave to find threats that traditional detection methods can't catch.
• Machine learning:  Deep Discovery uses advanced technology to find and stop dangers that we don't know about yet.
• Threat intelligence: Deep Discovery uses information about threats to find and stop harmful things that we already know are bad.
• Sandboxing: Deep Discovery is a tool that can examine files and traffic that seem suspicious. It does this in a secure environment. This helps to find and stop harmful content before it can damage a device.

Here are some of the key features of Trend Micro Deep Discovery:

1. Zero-day protection
2. Advanced threat protection
3. Threat intelligence
4. Sandboxing
5. Reporting
6. Cloud-based deployment

Check Point SandBlast is a security tool that works online to keep organizations safe from different types of dangers.

• Malware: SandBlast can find and delete harmful software, even ones that are and unknown.
• Exploits: SandBlast can find and stop harmful attacks before they can harm a device.
• Phishing: SandBlast can find and stop fake emails and websites that try to trick you.
• Data loss: SandBlast can stop important information from being taken out of a device.
• Intrusions: SandBlast can find and stop unwanted entries made by bad people.

SandBlast uses a variety of techniques to protect endpoints from these threats, including:

1. Sandboxing: SandBlast uses a special method called sandboxing to examine files and traffic that seem suspicious. This method keeps everything contained in a secure environment for analysis. This helps to find and stop harmful content before it can damage a device.
2. Machine learning: SandBlast uses a type of computer intelligence called machine learning to find and stop harmful things that are already known to be bad.
3. Threat intelligence: SandBlast uses information about potential dangers to find and stop threats that are not yet familiar.
4. Cloud-based management: SandBlast can be controlled from the cloud, which means it is simple to set up and handle.

Here are some of the key functions of Check Point SandBlast.

• Zero-day protection: SandBlast uses different methods to keep safe from new and unknown threats. It uses sandboxing and machine learning.
• Threat extraction: SandBlast can find and remove dangerous things from files and traffic, which can stop them from causing harm.
• Content disarm and reconstruction (CDR): SandBlast has the ability to put files and traffic back together after they have been checked, which can keep them working properly.
• Reporting: SandBlast gives you clear information about the dangers it finds and stops
• Cloud-based deployment: SandBlast can be used in the cloud, which means it can be easily adjusted and controlled.

Amazon GuardDuty is a service that helps you detect and prevent bad things from happening in your AWS accounts. It keeps an eye out for any suspicious or unauthorized actions. It uses computer learning and finding unusual things to find possible dangers, and it can work with other AWS services to automatically take action.

Amazon GuardDuty can help you to protect your AWS environment from a variety of threats, including:

• Compromised accounts: GuardDuty can find hacked accounts by watching for strange things happening, like when someone uses an unauthorized IP address or changes permissions.
• Unauthorized access: GuardDuty can detect when someone tries to access things they shouldn't by keeping an eye on IP addresses that aren't allowed or by watching for attempts to access important stuff.
• Malware: GuardDuty can find harmful software by watching for bad things happening, like when files are changed or when computers connect to websites known for having harmful software.
• DDoS attacks: GuardDuty can detect DDoS attacks by watching for sudden increases in website visitors.
• Data exfiltration: GuardDuty can detect DDoS attacks by watching for sudden increases in website visitors.

Here are some of the key features of Amazon GuardDuty:

1. Continuous monitoring: Amazon GuardDuty keeps an eye on your AWS setup all the time to detect any potential dangers.
2. Machine learning: Amazon Guard Duty uses advanced technology to find possible dangers.
3. Anomaly detection: Amazon GuardDuty uses a special method to find strange activity that could mean there is a danger.
4. Integration with other AWS services: Amazon GuardDuty can work together with other AWS services like AWS Security Hub and Amazon CloudWatch to automatically take action in response to security issues.