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How Artificial Intelligence Is Changing Video Surveillance Today

Avigilon recently contributed an article to Security Informed that discusses how artificial intelligence (AI) is changing video surveillance today. The article outlines the need for AI in surveillance systems, how it can enable faster video search, and how it can help focus operators’ attention on key events and insights to reduce hours of work to minutes.

Below is the full article, modified from its original version to fit this blog post, which can also be found on SecurityInformed.com.

There’s a lot of excitement around artificial intelligence (AI) today — and rightly so. AI is shifting the modern landscape of security and surveillance and dramatically changing the way users interact with their security systems. But with all the talk of AI’s potential, you might be wondering: what problems does AI help solve today?

The Need for AI

The fact is, today there are too many cameras and too much recorded video for security operators to keep pace with. On top of that, people have short attention spans. AI is a technology that doesn’t get bored and can analyze more video data than humans ever possibly could.

It is designed to bring the most important events and insight to users’ attention, freeing them to do what they do best: make critical decisions. There are two areas where AI can have a significant impact on video surveillance today: search and focus of attention.

Faster Search

Imagine using the internet today without a search engine. You would have to search through one webpage at a time, combing through all its contents, line-by-line, to hopefully find what you’re looking for. That is what most video surveillance search is like today: security operators scan hours of video from one camera at a time in the hope that they’ll find the critical event they need to investigate further. That’s where artificial intelligence comes in.

With AI, companies such as Avigilon are developing technologies that are designed to make video search as easy as searching the internet. Tools like Avigilon Appearance Search™ technology — a sophisticated deep learning AI video search engine — help operators quickly locate a specific person or vehicle of interest across all cameras within a site.

When a security operator is provided with physical descriptions of a person involved in an event, this technology allows them to initiate a search by simply selecting certain descriptors, such as gender or clothing color. During critical investigations, such as in the case of a missing or suspicious person, this technology is particularly helpful as it can use those descriptions to search for a person and, within seconds, find them across an entire site.

Focused Attention

The ability of AI to reduce hours of work to mere minutes is especially significant when we think about the gradual decline in human attention spans. Consider all the information a person is presented with on a given day. They don’t necessarily pay attention to everything because most of that information is irrelevant. Instead, they prioritise what is and is not important, often focusing only on information or events that are surprising or unusual.

Now, consider how much information a security operator who watches tens, if not hundreds or thousands of surveillance cameras, is presented with daily. After just twenty minutes, their attention span significantly decreases, meaning most of that video is never watched and critical information may go undetected. By taking over the task of “watching” security video, AI technology can help focus operators’ attention on events that may need further investigation.

For instance, technology like Avigilon Unusual Motion (UMD) uses AI to continuously learn what typical activity in a scene looks like and then detect and flag unusual events, adding a new level of automation to surveillance.

This helps save time during an investigation by allowing operators to quickly search through large amounts of recorded video faster, automatically focusing their attention on the atypical events that may need further investigation, enabling them to more effectively answer the critical questions of who, what, where and when.

As AI technology evolves, the rich metadata captured in surveillance video — like clothing color, age or gender — will add even more relevance to what operators are seeing. This means that in addition to detecting unusual activities based on motion, this technology has the potential to guide operators’ attention to other “unusual” data that will help them more accurately verify and respond to a security event.

The Key to Advanced Security

There’s no denying it, the role of AI in security today is transformative. AI-powered video management software is helping to reduce the amount of time spent on surveillance, making security operators more efficient and effective at their jobs. By removing the need to constantly watch video screens and automating the “detection” function of surveillance, AI technology allows operators to focus on what they do best: verifying and acting on critical events.

This not only expedites forensic investigations but enables real-time event response, as well. When integrated throughout a security system, AI technology has the potential to dramatically change security operations. Just as high-definition imaging has become a quintessential feature of today’s surveillance cameras, the tremendous value of AI technology has positioned it as a core component of security systems today, and in the future.

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Top Reasons to use Veritas NetBackup 8.1 data Protection for Nutanix Workloads.

The continual growth of data increases the use of virtualization and drives the need for highly scalable data protection and disaster recovery solutions. As a result, organizations are turning to hyperconverged solutions as way to keep deployment and management of their infrastructure simple, by managing the entire stack in a single system. As more and more organizations are adopting hyperconverged infrastructure, they are moving their mission critical data and applications to them.

Read how you can protect modern workloads in hyperconverged environments with Veritas NetBackupTM 8.1 including Parallel Streaming Framework, which simplifies modern workload backup and recovery, and delivers the performance required to accelerate the transformation to the digital enterprise.

1. DATA PROTECTION FOR SIMPLE, EFFICIENT HYPERCONVERGED INFRASTRUCTURES.

According to Stratistics MRC1, the Global Hyperconverged Infrastructure (HCI) Market accounted for approximately $1460 million in 2016 and is expected to reach $17027 million by 2023 growing at a CAGR of 42.0 percent from 2016 to 2023. Nutanix is the clear market leader in the HCI space.

hyperconverged is about keeping IT simple. Data protection should be too. Veritas NetBackup 8.1 with Parallel Streaming framework takes multi-node infrastructure running Nutanix Acropolis and AHV and streams from all nodes simultaneously. This is a unique way of backing up Nutanix. In fact, we have partnered with Nutanix to certify protection of those workloads on HCI.

2. ELIMINATE POINT PRODUCTS IN A HIGHLY VIRTUALIZED NUTANIX AHV ENVIRONMENTS.

NetBackup, the market leader of enterprise backup and recovery software, delivers to any size enterprise, unified data protection for Nutanix AHV virtual environments with proven enterprise scalability, and automated VM protection and performance. Veritas and Nutanix combined deliver an integrated, hyperconverged solution that eliminates silos.

3. ON-DEMAND, AGENTLESS, DOWNLOADABLE PLUGIN ARCHITECTURE.

Commvault and Veeam require dedicated resources on a Nutanix server. NetBackup Parallel Streaming technology with scale-out, agentless workload plugins can be used to efficiently protect virtual machines in Nutanix HCI or other hyperconverged cluster environments. The backup environment can be scaled in the same fashion as the production environment it was protecting. The Nutanix plugin is available on-demand for as many backup hosts as you select. No agents, clients, or software are installed on the cluster itself.

4. REDUCED RISK WITH RECOVERY OF POINT-IN-TIME HISTORICAL DATA.

Unlike any major competitive products, NetBackup 8.1 with Parallel Streaming technology enables customers to perform point-in-time backup while eliminating the need for an extra replication cluster, and at lower costs. Snapshots alone cannot refer to point-in-time data, so you need a data protection solution that help you quickly retrieve historical data without worrying about replicating data from human errors. Ensure that you can consistently meet SLAs and compliance mandates.

5. CHOICE OF HARDWARE, HYPERVISORS, AND CLOUD CONNECTORS.

Veritas protects petabyte-scale workloads running on hyperconverged infrastructure and offers a choice of hardware, hypervisor or cloud vendors.

Simplify backup with our Veritas Flex appliance and create a very streamlined solution, or use cloud as another storage tier for data. NetBackup has 40+ fully tested, cloud-connectors, which enables customers to leverage multi-cloud for long-term retention.

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Cloud Security: How to Secure Your Sensitive Data in the Cloud

In today’s always-connected world, an increasing number of organisations are moving their data to the cloud for operational efficiency, cost management, agility, scalability, etc.

As more data is produced, processed, and stored in the cloud – a prime target for cybercriminals who are always lurking around to lay their hands on organisations’ sensitive data – protecting the sensitive data that resides on the cloud becomes imperative.

Data Encryption Is Not Enough

While data encryption definitely acts as a strong deterrence, merely encrypting the data is not enough in today’s perilous times where cyber attacks are getting more sophisticated with every passing day. Since the data physically resides with the CSP, it is out of the direct control of the organisations that own the data.

In a scenario like this where organisations encrypt their cloud data, storing the encryption keys securely and separately from the encrypted data is of paramount importance.

Enter BYOK

To ensure optimal protection of their data in the cloud, an increasing number of organisations are adopting a Bring Your Own Key (BYOK) approach that enables them to securely create and manage their own encryption keys, separate from the CSP’s where their sensitive data is being hosted.

However, as more encryption keys are created for an increasing number of cloud environments like Microsoft Azure, Amazon Web Services (AWS), Salesforce, etc., efficiently managing the encryption keys of individual cloud applications and securing the access, becomes very important. Which is why many organisations use External Key Management (EKM) solutions to cohesively manage all their encryption keys in a secure manner that is bereft of any unauthorised access.

Take the example of Office 365, Microsoft’s on-demand cloud application that is widely used by organisations across the globe to support employee mobility by facilitating anytime, anywhere access to Microsoft’s email application – MS Outlook and business utility applications like MS Word, Excel, PowerPoint, etc.

Gemalto’s BYOK solutions (SafeNet ProtectApp and SafeNet KeySecure) for Office 365 not only ensure that organisations have complete control over their encrypted cloud data, but also seamlessly facilitate efficient management of the encryption keys of other cloud applications like Azure, AWS, Google Cloud and Salesforce.

Below is a quick snapshot of how SafeNet ProtectApp and SafeNet KeySecure seamlessly work with Azure BYOK:

1. SafeNet ProtectApp and KeySecure are used to generate a RSA Key Pair or required Key size using the FIPS 140-2 certified RNG of KeySecure.

2. A Self-SignedCertificateUtility.jar (which is a Java-based application) then interacts with KeySecure using a TLS-protected NAE service to fetch the Key Pair and create a Self-signed Certificate.

3. The Key Pair and Self-signed Certificate are stored securely in a PFX or P12 container that encrypts the contents using a Password-based Encryption (PBE) Key.

4. The PFX file (which is an encrypted container using a PBE Key) is then uploaded on Azure Key Vault using Azure Web API / Rest.

5. The transmission of the PFX file to the Azure Key Vault is protected using security mechanisms implemented by Azure on their Web API (TLS / SSL, etc.).

6. Since the PFX files will be located on the same system on which the SelfSignedCertificateUtility.jar utility will be executed, industry-best security practices like ensuring pre-boot approval, enabling two-factor authentication (2FA), etc. should be followed.

7. Once the Keys are loaded on Azure Key Vault, all encryption operations happen on Azure platform itself.