In the early 2000s, VMware introduced the world to virtual servers that allowed IT to make more efficient use of idle server capacity. Today, Run:AI is introducing that same concept to GPUs running containerized machine learning projects on Kubernetes.

This should enable data science teams to have access to more resources than they would normally get were they simply allocated a certain number of available GPUs. Company CEO and co-founder Omri Geller says his company believes that part of the issue in getting AI projects to market is due to static resource allocation holding back data science teams.

“There are many times when those important and expensive computer sources are sitting idle, while at the same time, other users that might need more compute power since they need to run more experiments and don’t have access to available resources because they are part of a static assignment,” Geller explained.

To solve that issue of static resource allocation, Run:AI came up with a solution to virtualize those GPU resources, whether on prem or in the cloud, and let IT define by policy how those resources should be divided.

“There is a need for a specific virtualization approaches for AI and actively managed orchestration and scheduling of those GPU resources, while providing the visibility and control over those compute resources to IT organizations and AI administrators,” he said.

Run:AI creates a resource pool, which allocates based on need. Image Credits Run:AI

Run:AI built a solution to bridge this gap between the resources IT is providing to data science teams and what they require to run a given job, while still giving IT some control over defining how that works.

“We really help companies get much more out of their infrastructure, and we do it by really abstracting the hardware from the data science, meaning you can simply run your experiment without thinking about the underlying hardware, and at any moment in time you can consume as much compute power as you need,” he said.

While the company is still in its early stages, and the current economic situation is hitting everyone hard, Geller sees a place for a solution like Run:AI because it gives customers the capacity to make the most out of existing resources, while making data science teams run more efficiently.

He also is taking a realistic long view when it comes to customer acquisition during this time. “These are challenging times for everyone,” he says. “We have plans for longer time partnerships with our customers that are not optimized for short term revenues.”

Run:AI was founded in 2018. It has raised $13 million, according to Geller. The company is based in Israel with offices in the United States. It currently has 25 employees and a few dozen customers.

In spite of being in the midst of a pandemic sowing economic uncertainty, one area that continues to thrive is cloud computing. Perhaps that explains why Microsoft, which saw Azure grow 59% in its most recent earnings report, announced plans to open a new data center in New Zealand once it receives approval from the Overseas Investment Office.

“This significant investment in New Zealand’s digital infrastructure is a testament to the remarkable spirit of New Zealand’s innovation and reflects how we’re pushing the boundaries of what is possible as a nation,” Vanessa Sorenson, general manager at Microsoft New Zealand said in a statement.

The company sees this project against the backdrop of accelerating digital transformation that we are seeing as the pandemic forces companies to move to the cloud more quickly with employees often spread out and unable to work in offices around the world.

As CEO Satya Nadella noted on Twitter, this should help companies in New Zealand that are in the midst of this transformation. “Now more than ever, we’re seeing the power of digital transformation, and today we’re announcing a new datacenter region in New Zealand to help every organization in the country build their own digital capability,” Nadella tweeted.

The company wants to do more than simply build a data center. It will make this part of a broader investment across the country, including skills training and reducing the environmental footprint of the data center.

Once New Zealand comes on board, the company will boast 60 regions covering 140 countries around the world. The new data center won’t just be about Azure, either. It will help fuel usage of Office 365 and the Dynamics 365 back-office products, as well.

There’s something to be said for consistency through good times and bad, and one company that has had a staggeringly consistent track record is international data center vendor, Equinix. It just recorded its 69th straight positive quarter, according to the company.

That’s an astonishing record, and covers over 17 years of positive returns. That means this streak goes back to 2003. Not too shabby.

The company had a decent quarter, too. Even in the middle of an economic mess, it was still up 6% YoY to $1.445 billion and up 2% over last quarter. The company runs data centers where companies can rent space for their servers. Equinix handles all of the infrastructure providing racks, wiring and cooling — and customers can purchase as many racks as they need.

If you’re managing your own servers for even part of your workload, it can be much more cost-effective to rent space from a vendor like Equinix than trying to run a facility on your own.

Among its new customers this quarter are Zoom, which is buying capacity all over the place, having also announced a partnership with Oracle earlier this month, and TikTok. Both of those companies deal in video and require lots of different types of resources to keep things running.

This report comes against a backdrop of a huge increase in resource demand for certain sectors like streaming video and video conferencing, with millions of people working and studying at home or looking for distractions.

And if you’re wondering if they can keep it going, they believe they can. Their guidance calls for 2020 revenue of $5.877-$5.985 billion, a 6-8% increase over the previous year.

You could call them the anti-IBM. At one point Big Blue recorded 22 straight quarters of declining revenue in an ignominious streak that stretched from 2012 to 2018 before it found a way to stop the bleeding.

When you consider that Equnix’s streak includes the period of 2008-2010, the last time the economy hit the skids, it makes the record even more impressive, and certainly one worth pointing out.

A lot of enterprise cybersecurity efforts focus on malicious hackers that work on behalf of larger organizations, be they criminal groups or state actors — and for good reason, since the majority of incidents these days come from phishing and other malicious techniques that originate outside the enterprise itself.

But there has also been a persistent, and now growing, focus also on “insider threats” — that is, breaches that start from within organizations themselves. And today a startup that specialises in this area is announcing a round of growth funding to expand its reach.

Dtex, which uses machine learning to monitor network activity within the perimeter and around all endpoints to detect unusual patterns or behaviour around passwords, data movement and other network activities, is today announcing that it has raised $17.5 million in funding.

The round is being led by new investor Northgate Capital with Norwest Venture Partners and Four Rivers Group, both previous investors, also participating. Prior to this, the San Jose-based startup had raised $57.5 million, according to data from PitchBook, while CrunchBase puts the total raised at $40 million.

CEO Bahman Mahbod said the startup is not disclosing valuation except to say that it’s “very excited” about it.

For some context, the company works with hundreds of large enterprises, primarily in the financial, critical infrastructure, government and defence sectors. The plan is to now extend further into newer verticals where it’s started to see more activity more recently: pharmaceuticals, life sciences and manufacturing. Dtex says that over the past 12 months, 80% of its top customers have been increasing their level of engagement with the startup.

Dtex’s focus on “insider” threats sounds slightly sinister at first. Is the implication here that people are more dishonest and nefarious these days and thus need to be policed and monitored much more closely for wrongdoing? The answer is no. There are no more dishonest people today than there ever have been, but there are a lot more opportunities to make mistakes that result in security breaches.

The working world has been on a long-term trend of becoming increasingly digitised in all of its interactions, and bringing on a lot more devices onto those networks. Across both “knowledge” and front-line workers, we now have a vastly larger number of devices being used to help workers do their jobs or just keep in touch with the company as they work, with many of them being brought by the workers themselves rather than being provisioned by the companies. There has also been a huge increase in cloud services,

And in the realm of “knowledge” workers, we’re seeing a lot more remote or peripatetic working, where people don’t have fixed desks and often work outside the office altogether — something that has skyrocketed in recent times with stay-at-home orders put in place to mitigate the spread of COVID-19 cases.

All of this translates into a much wider threat “horizon” within organizations themselves, before even considering the sophistication of external malicious hackers.

And the current state of business has exacerbated that. Mahbod tells us that Dtex is currently seeing spikes in unusual activity from the rise in home workers, who sometimes circumvent VPNs and other security controls, thus committing policy violations; as well as more problems arising from the fact that home networks have been compromised and that is leaving work networks, accessed from home, more vulnerable. These started, he said, with COVID-19 phishing attacks but have progressed to undetected malware from drive-by downloads.

And, inevitably, he added that there has been a rise in intentional data theft and accidental loss arising in cases where organizations have had to lay people off or run a round of furloughs, but might still result from negligence rather than intentional actions.

There are a number of other cybersecurity companies that provide ways to detect insider threats — they include CloudKnox and Obsidian Security, along with a number of larger and established vendors. But Mabhod says that Dtex “is the only company with ‘next-generation’ capabilities that are cloud-first, AI/ML baked-in, and enterprise scalable to millions of users and devices, which it sells as DMAP+.

“Effectively, Next-Gen Insider Threat solutions must replace legacy Insider Threat point solutions which were borne out of the UAM, DLP and UEBA spaces,” he said.

Those providing legacy approaches of that kind include Forcepoint with its SureView product and Proofpoint with its ObserveIT product. Interestingly, CyberX, which is currently in the process of getting acquired by Microsoft (according to reports and also our sources), also includes insider threats in its services.

This is one reason why investors have been interested.

“Dtex has built a highly scalable platform that utilizes a cloud-first, lightweight endpoint architecture, offering clients a number of use cases including insider threat prevention and business operations intelligence,” said Thorsten Claus, partner, Northgate Capital, in a statement. Northgate has a long list of enterprise startups in its portfolio that represent potential customers but also a track record of experience in assessing the problem at hand and building products to address it. “With Dtex, we have found a fast-growing, long-term, investible operation that is not just a band-aid collection of tools, which would be short-lived and replaced.”

Ransomware is getting sneakier and smarter.

The latest example comes from ExecuPharm, a little-known but major outsourced pharmaceutical company that confirmed it was hit by a new type of ransomware last month. The incursion not only encrypted the company’s network and files, hackers also exfiltrated vast amounts of data from the network. The company was handed a two-for-one threat: pay the ransom and get your files back or don’t pay and the hackers will post the files to the internet.

This new tactic is shifting how organizations think of ransomware attacks: it’s no longer just a data-recovery mission; it’s also now a data breach. Now companies are torn between taking the FBI’s advice of not paying the ransom or the fear their intellectual property (or other sensitive internal files) are published online.

Because millions are now working from home, the surface area for attackers to get in is far greater than it was, making the threat of ransomware higher than ever before.

That’s just one of the stories from the week. Here’s what else you need to know.

THE BIG PICTURE

Chegg hacked for the third time in three years

Education giant Chegg confirmed its third data breach in as many years. The latest break-in affected past and present staff after a hacker made off with 700 names and Social Security numbers. It’s a drop in the ocean when compared to the 40 million records stolen in 2018 and an undisclosed number of passwords taken in a breach at Thinkful, which Chegg had just acquired in 2019.

Those 700 names account for about half of its 1,400 full-time employees, per a filing with the Securities and Exchange Commission. But Chegg’s refusal to disclose further details about the breach — beyond a state-mandated notice to the California attorney general’s office — makes it tough to know exactly went wrong this time.