data security
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Ketch raises another $20M as demand grows for its privacy data control platform
Six months after securing a $23 million Series A round, Ketch, a startup providing online privacy regulation and data compliance, brought in an additional $20 million in A1 funding, this time led by Acrew Capital.
Returning with Acrew for the second round are CRV, super{set} (the startup studio founded by Ketch’s co-founders CEO Tom Chavez and CTO Vivek Vaidya), Ridge Ventures and Silicon Valley Bank. The new investment gives Ketch a total of $43 million raised since the company came out of stealth earlier this year.
In 2020, Ketch introduced its data control platform for programmatic privacy, governance and security. The platform automates data control and consent management so that consumers’ privacy preferences are honored and implemented.
Enterprises are looking for a way to meet consumer needs and accommodate their rights and consents. At the same time, companies want data to fuel their growth and gain the trust of consumers, Chavez told TechCrunch.
There is also a matter of security, with much effort going into ransomware and malware, but Chavez feels a big opportunity is to bring security to the data wherever it lies. Once the infrastructure is in place for data control it needs to be at the level of individual cells and rows, he said.
“If someone wants to be deleted, there is a challenge in finding your specific row of data,” he added. “That is an exercise in data control.”
Ketch’s customer base grew by more than 300% since its March Series A announcement, and the new funding will go toward expanding its sales and go-to-market teams, Chavez said.
Ketch app. Image Credits: Ketch
This year, the company launched Ketch OTC, a free-to-use privacy tool that streamlines all aspects of privacy so that enterprise compliance programs build trust and reduce friction. Customer growth through OTC increased five times in six months. More recently, Qonsent, which developing a consent user experience, is using Ketch’s APIs and infrastructure, Chavez said.
When looking for strategic partners, Chavez and Vaidya wanted to have people around the table who have a deep context on what they were doing and could provide advice as they built out their products. They found that in Acrew founding partner Theresia Gouw, whom Chavez referred to as “the OG of privacy and security.”
Gouw has been investing in security and privacy for over 20 years and says Ketch is flipping the data privacy and security model on its head by putting it in the hands of developers. When she saw more people working from home and more data breaches, she saw an opportunity to increase and double down on Acrew’s initial investment.
She explained that Ketch is differentiating itself from competitors by taking data privacy and security and tying it to the data itself to empower software developers. With the OTC tool, similar to putting locks and cameras on a home, developers can download the API and attach rules to all of a user’s data.
“The magic of Ketch is that you can take the security and governance rules and embed them with the software and the piece of data,” Gouw added.
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Cribl raises $200M to help enterprises do more with their data
At a time when remote work, cybersecurity attacks and increased privacy and compliance requirements threaten a company’s data, more companies are collecting and storing their observability data, but are being locked in with vendors or have difficulty accessing the data.
Enter Cribl. The San Francisco-based company is developing an “open ecosystem of data” for enterprises that utilizes unified data pipelines, called “observability pipelines,” to parse and route any type of data that flows through a corporate IT system. Users can then choose their own analytics tools and storage destinations like Splunk, Datadog and Exabeam, but without becoming dependent on a vendor.
The company announced Wednesday a $200 million round of Series C funding to value Cribl at $1.5 billion, according to a source close to the company. Greylock and Redpoint Ventures co-led the round and were joined by new investor IVP, existing investors Sequoia and CRV and strategic investment from Citi Ventures and CrowdStrike. The new capital infusion gives Cribl a total of $254 million in funding since the company was started in 2017, Cribl co-founder and CEO Clint Sharp told TechCrunch.
Sharp did not discuss the valuation; however, he believes that the round is “validation that the observability pipeline category is legit.” Data is growing at a compound annual growth rate of 25%, and organizations are collecting five times more data today than they did 10 years ago, he explained.
“Ultimately, they want to ask and answer questions, especially for IT and security people,” Sharp added. “When Zoom sends data on who started a phone call, that might be data I need to know so I know who is on the call from a security perspective and who they are communicating with. Also, who is sending files to whom and what machines are communicating together in case there is a malicious actor. We can also find out who is having a bad experience with the system and what resources they can access to try and troubleshoot the problem.”
Cribl also enables users to choose how they want to store their data, which is different from competitors that often lock companies into using only their products. Instead, customers can buy the best products from different categories and they will all talk to each other through Cribl, Sharp said.
Though Cribl is developing a pipeline for data, Sharp sees it more as an “observability lake,” as more companies have differing data storage needs. He explains that the lake is where all of the data will go that doesn’t need to go into an existing storage solution. The pipelines will send the data to specific tools and then collect the data, and what doesn’t fit will go back into the lake so companies have it to go back to later. Companies can keep the data for longer and more cost effectively.
Cribl said it is seven times more efficient at processing event data and boasts a customer list that includes Whole Foods, Vodafone, FINRA, Fannie Mae and Cox Automotive.
Sharp went after additional funding after seeing huge traction in its existing customer base, saying that “when you see that kind of traction, you want to keep doubling down.” His aim is to have a presence in every North American city and in Europe, to continue launching new products and growing the engineering team.
Up next, the company is focusing on go-to-market and engineering growth. Its headcount is 150 currently, and Sharp expects to grow that to 250 by the end of the year.
Over the last fiscal year, Cribl grew its revenue 293%, and Sharp expects that same trajectory for this year. The company is now at a growth stage, and with the new investment, he believes Cribl is the “future leader in observability.”
“This is a great investment for us, and every dollar, we believe, is going to create an outsized return as we are the only commercial company in this space,” he added.
Scott Raney, managing director at Redpoint Ventures, said his firm is a big enterprise investor in software, particularly in companies that help organizations leverage data to protect themselves, a sweet spot that Cribl falls into.
He feels Sharp is leading a team, having come from Splunk, that has accomplished a lot, has a vision and a handle on the business and knows the market well. Where Splunk is capturing the machine data and using its systems to extract the data, Cribl is doing something similar in directing the data where it needs to go, while also enabling companies to utilize multiple vendors and build apps to sit on top of its infrastructure.
“Cribl is adding opportunity by enriching the data flowing through, and the benefits are going to be meaningful in cost reduction,” Raney said. “The attitude out there is to put data in cheaper places, and afford more flexibility to extract data. Step one is to make that transition, and step two is how to drive the data sitting there. Cribl is doing something that will go from being a big business to a legacy company 30 years from now.”
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Insider hacks to streamline your SOC 3 certification application
If you’re a tech company offering anyone a service, somewhere in your future is a security assessment giving you the seal of approval to manage clients’ data and operate on your devices. No one takes security lightly anymore. The business costs of cyberattacks have now hit an all-time high. Government bodies, companies and consumers need the assurance that the next software they download isn’t going to be an open door for hackers.
For good reason, security certifications like the SOC 3 really put you through the wringer. My company, Waydev, has just attained the SOC 3 certification, becoming one of the first development analytics tools to receive that accreditation. We learned so much from the process, we felt it was right to share our experience with others that might be daunted by the prospect.
As a non-tech founder, it was hard not only to navigate the process, but to appreciate its value. But by putting our business caps on, our team was able to optimize our approach and minimize the time and effort needed to achieve our goal. In doing so, we were granted SOC 3 compliance in two weeks, as opposed to the two months it takes some companies.
We also turned the assessment into an opportunity to better our product, align our internal teams, boost our brand and even launch partnerships.
So here’s our advice on how teams can smoothly reach an SOC 3 while simultaneously balancing workloads and minimizing disruption to users.
First, bring your teams on board
Because we can’t expect employees to stack those hours on top of their regular workdays, as a leader you have to accept — and communicate — that the speed of your output will inevitably decrease.
As a founder, you’ll be acting as captain steering a ship into that SOC 3 port, and you’ll need all members of your crew to join forces. This isn’t a job for a specially designated security team alone and will require deep involvement from your development and other teams, too. That might lead to internal resistance, as they still have a full-time job tending to your product and customers.
That’s why it’s so important to start by being crystal clear with your employees about what this process will mean to their work lives. However, they have to embrace the true benefits that will arise. SOC 3 will immediately raise your brand’s appeal and likely see new customers come in as a result.
Each employee will also come out the other end with well-honed cybersecurity skills — they’ll have a deep understanding of potential cyber threats to the company, and all security initiatives will carry a far lighter burden. There’s also the sense of pride and fulfillment that comes with having an indisputable edge over your competitors.
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Employee talent predictor retrain.ai raised another $7M, adds Splunk as strategic investor
Automation will displace 85 million jobs while simultaneously creating 97 million new jobs by 2025, according to the World Economic Forum. Although that sounds like good news, the hard reality is that millions of people will have to retrain in the jobs of the future.
A number of startups are addressing these problems of employee skills, and are looking at talent development, neuroscience-based assessments and prediction technologies for staffing. These include Pymetrics (raised $56.6 million), Eightfold (raised $396.8 million) and EmPath (raised $1 million). But this sector is by no means done yet.
Retrain.ai bills itself as a “Talent Intelligence Platform”, and it’s now closed an additional $7 million from its current investors Square Peg, Hetz Ventures, TechAviv, .406 Ventures and Schusterman Family Investments. It’s also now added Splunk Ventures as a strategic investor. The new round of funding takes its total raised to $20 million.
Retrain.ai says it uses AI and machine learning to help governments and organizations retrain and upskill talent for jobs of the future, enable diversity initiatives, and help employees and jobseekers manage their careers.
Dr. Shay David, co-founder and CEO of retrain.ai said: “We are thrilled to have Splunk Ventures join us on this exciting journey as we use the power of data to solve the widening skills gap in the global labor markets.”
The company says it helps companies tackle future workforce strategies by “analyzing millions of data sources to understand the demand and supply of skill sets.”
The new funding will be used for U.S. expansion, hiring talent and product development.
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Financial firms should leverage machine learning to make anomaly detection easier
Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the norm of the expected or the familiar. Anomalies can be the result of incompetence, maliciousness, system errors, accidents or the product of shifts in the underlying structure of day-to-day processes.
For the financial services industry, detecting anomalies is critical, as they may be indicative of illegal activities such as fraud, identity theft, network intrusion, account takeover or money laundering, which may result in undesired outcomes for both the institution and the individual.
There are different ways to address the challenge of anomaly detection, including supervised and unsupervised learning.
Detecting outlier data, or anomalies according to historic data patterns and trends can enrich a financial institution’s operational team by increasing their understanding and preparedness.
The challenge of detecting anomalies
Anomaly detection presents a unique challenge for a variety of reasons. First and foremost, the financial services industry has seen an increase in the volume and complexity of data in recent years. In addition, a large emphasis has been placed on the quality of data, turning it into a way to measure the health of an institution.
To make matters more complicated, anomaly detection requires the prediction of something that has not been seen before or prepared for. The increase in data and the fact that it is constantly changing exacerbates the challenge further.
Leveraging machine learning
There are different ways to address the challenge of anomaly detection, including supervised and unsupervised learning.
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Opaque raises $9.5M seed to secure sensitive data in the cloud
Opaque, a new startup born out of Berkeley’s RISELab, announced a $9.5 million seed round today to build a solution to access and work with sensitive data in the cloud in a secure way, even with multiple organizations involved. Intel Capital led today’s investment with participation by Race Capital, The House Fund and FactoryHQ.
The company helps customers work with secure data in the cloud while making sure the data they are working on is not being exposed to cloud providers, other research participants or anyone else, says company president Raluca Ada Popa.
“What we do is we use this very exciting hardware mechanism called Enclave, which [operates] deep down in the processor — it’s a physical black box — and only gets decrypted there. […] So even if somebody has administrative privileges in the cloud, they can only see encrypted data,” she explained.
Company co-founder Ion Stoica, who was a co-founder at Databricks, says the startup’s solution helps resolve two conflicting trends. On one hand, businesses increasingly want to make use of data, but at the same time are seeing a growing trend toward privacy. Opaque is designed to resolve this by giving customers access to their data in a safe and fully encrypted way.
The company describes the solution as “a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification.” This enables customers to work with data — for example to build machine learning models — without exposing the data to others, yet while generating meaningful results.
Popa says this could be helpful for hospitals working together on cancer research, who want to find better treatment options without exposing a given hospital’s patient data to other hospitals, or banks looking for money laundering without exposing customer data to other banks, as a couple of examples.
Investors were likely attracted to the pedigree of Popa, a computer security and applied crypto professor at UC Berkeley and Stoica, who is also a Berkeley professor and co-founded Databricks. Both helped found RISELabs at Berkeley where they developed the solution and spun it out as a company.
Mark Rostick, vice president and senior managing director at lead investor Intel Capital says his firm has been working with the founders since the startup’s earliest days, recognizing the potential of this solution to help companies find complex solutions even when there are multiple organizations involved sharing sensitive data.
“Enterprises struggle to find value in data across silos due to confidentiality and other concerns. Confidential computing unlocks the full potential of data by allowing organizations to extract insights from sensitive data while also seamlessly moving data to the cloud without compromising security or privacy,” Rostick said in a statement
He added, “Opaque bridges the gap between data security and cloud scale and economics, thus enabling inter-organizational and intra-organizational collaboration.”
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Edge Delta raises $15M Series A to take on Splunk
Seattle-based Edge Delta, a startup that is building a modern distributed monitoring stack that is competing directly with industry heavyweights like Splunk, New Relic and Datadog, today announced that it has raised a $15 million Series A funding round led by Menlo Ventures and Tim Tully, the former CTO of Splunk. Previous investors MaC Venture Capital and Amity Ventures also participated in this round, which brings the company’s total funding to date to $18 million.
“Our thesis is that there’s no way that enterprises today can continue to analyze all their data in real time,” said Edge Delta co-founder and CEO Ozan Unlu, who has worked in the observability space for about 15 years already (including at Microsoft and Sumo Logic). “The way that it was traditionally done with these primitive, centralized models — there’s just too much data. It worked 10 years ago, but gigabytes turned into terabytes and now terabytes are turning into petabytes. That whole model is breaking down.”
Image Credits: Edge Delta
He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse. The promise of Edge Delta is that it can offer all of the capabilities of this centralized model by allowing enterprises to start to analyze their logs, metrics, traces and other telemetry right at the source. This, in turn, also allows them to get visibility into all of the data that’s generated there, instead of many of today’s systems, which only provide insights into a small slice of this information.
While competing services tend to have agents that run on a customer’s machine, but typically only compress the data, encrypt it and then send it on to its final destination, Edge Delta’s agent starts analyzing the data right at the local level. With that, if you want to, for example, graph error rates from your Kubernetes cluster, you wouldn’t have to gather all of this data and send it off to your data warehouse where it has to be indexed before it can be analyzed and graphed.
With Edge Delta, you could instead have every single node draw its own graph, which Edge Delta can then combine later on. With this, Edge Delta argues, its agent is able to offer significant performance benefits, often by orders of magnitude. This also allows businesses to run their machine learning models at the edge, as well.
Image Credits: Edge Delta
“What I saw before I was leaving Splunk was that people were sort of being choosy about where they put workloads for a variety of reasons, including cost control,” said Menlo Ventures’ Tim Tully, who joined the firm only a couple of months ago. “So this idea that you can move some of the compute down to the edge and lower latency and do machine learning at the edge in a distributed way was incredibly fascinating to me.”
Edge Delta is able to offer a significantly cheaper service, in large part because it doesn’t have to run a lot of compute and manage huge storage pools itself since a lot of that is handled at the edge. And while the customers obviously still incur some overhead to provision this compute power, it’s still significantly less than what they would be paying for a comparable service. The company argues that it typically sees about a 90 percent improvement in total cost of ownership compared to traditional centralized services.
Image Credits: Edge Delta
Edge Delta charges based on volume and it is not shy to compare its prices with Splunk’s and does so right on its pricing calculator. Indeed, in talking to Tully and Unlu, Splunk was clearly on everybody’s mind.
“There’s kind of this concept of unbundling of Splunk,” Unlu said. “You have Snowflake and the data warehouse solutions coming in from one side, and they’re saying, ‘hey, if you don’t care about real time, go use us.’ And then we’re the other half of the equation, which is: actually there’s a lot of real-time operational use cases and this model is actually better for those massive stream processing datasets that you required to analyze in real time.”
But despite this competition, Edge Delta can still integrate with Splunk and similar services. Users can still take their data, ingest it through Edge Delta and then pass it on to the likes of Sumo Logic, Splunk, AWS’s S3 and other solutions.
Image Credits: Edge Delta
“If you follow the trajectory of Splunk, we had this whole idea of building this business around IoT and Splunk at the Edge — and we never really quite got there,” Tully said. “I think what we’re winding up seeing collectively is the edge actually means something a little bit different. […] The advances in distributed computing and sophistication of hardware at the edge allows these types of problems to be solved at a lower cost and lower latency.”
The Edge Delta team plans to use the new funding to expand its team and support all of the new customers that have shown interest in the product. For that, it is building out its go-to-market and marketing teams, as well as its customer success and support teams.
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Base Operations raises $2.2 million to modernize physical enterprise security
Typically when we talk about tech and security, the mind naturally jumps to cybersecurity. But equally important, especially for global companies with large, multinational organizations, is physical security — a key function at most medium-to-large enterprises, and yet one that to date, hasn’t really done much to take advantage of recent advances in technology. Enter Base Operations, a startup founded by risk management professional Cory Siskind in 2018. Base Operations just closed their $2.2 million seed funding round and will use the money to capitalize on its recent launch of a street-level threat mapping platform for use in supporting enterprise security operations.
The funding, led by Good Growth Capital and including investors like Magma Partners, First In Capital, Gaingels and First Round Capital founder Howard Morgan, will be used primarily for hiring, as Base Operations looks to continue its team growth after doubling its employe base this past month. It’ll also be put to use extending and improving the company’s product and growing the startup’s global footprint. I talked to Siskind about her company’s plans on the heels of this round, as well as the wider opportunity and how her company is serving the market in a novel way.
“What we do at Base Operations is help companies keep their people in operation secure with ‘Micro Intelligence,’ which is street-level threat assessments that facilitate a variety of routine security tasks in the travel security, real estate and supply chain security buckets,” Siskind explained. “Anything that the chief security officer would be in charge of, but not cyber — so anything that intersects with the physical world.”
Siskind has firsthand experience about the complexity and challenges that enter into enterprise security since she began her career working for global strategic risk consultancy firm Control Risks in Mexico City. Because of her time in the industry, she’s keenly aware of just how far physical and political security operations lag behind their cybersecurity counterparts. It’s an often overlooked aspect of corporate risk management, particularly since in the past it’s been something that most employees at North American companies only ever encounter periodically when their roles involve frequent travel. The events of the past couple of years have changed that, however.
“This was the last bastion of a company that hadn’t been optimized by a SaaS platform, basically, so there was some resistance and some allegiance to legacy players,” Siskind told me. “However, the events of 2020 sort of turned everything on its head, and companies realized that the security department, and what happens in the physical world, is not just about compliance — it’s actually a strategic advantage to invest in those sort of services, because it helps you maintain business continuity.”
The COVID-19 pandemic, increased frequency and severity of natural disasters, and global political unrest all had significant impact on businesses worldwide in 2020, and Siskind says that this has proven a watershed moment in how enterprises consider physical security in their overall risk profile and strategic planning cycles.
“[Companies] have just realized that if you don’t invest [in] how to keep your operations running smoothly in the face of rising catastrophic events, you’re never going to achieve the profits that you need, because it’s too choppy, and you have all sorts of problems,” she said.
Base Operations addresses this problem by taking available data from a range of sources and pulling it together to inform threat profiles. Their technology is all about making sense of the myriad stream of information we encounter daily — taking the wash of news that we sometimes associate with “doom-scrolling” on social media, for instance, and combining it with other sources using machine learning to extrapolate actionable insights.
Those sources of information include “government statistics, social media, local news, data from partnerships, like NGOs and universities,” Siskind said. That data set powers their Micro Intelligence platform, and while the startup’s focus today is on helping enterprises keep people safe, while maintaining their operations, you can easily see how the same information could power everything from planning future geographical expansion, to tailoring product development to address specific markets.
Siskind saw there was a need for this kind of approach to an aspect of business that’s essential, but that has been relatively slow to adopt new technologies. From her vantage point two years ago, however, she couldn’t have anticipated just how urgent the need for better, more scalable enterprise security solutions would arise, and Base Operations now seems perfectly positioned to help with that need.
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5 questions every IT team should be able to answer
Now more than ever, IT teams play a vital role in keeping their businesses running smoothly and securely. With all of the assets and data that are now broadly distributed, a CEO depends on their IT team to ensure employees remain connected and productive and that sensitive data remains protected.
CEOs often visualize and measure things in terms of dollars and cents, and in the face of continuing uncertainty, IT — along with most other parts of the business — is facing intense scrutiny and tightening of budgets. So, it is more important than ever to be able to demonstrate that they’ve made sound technology investments and have the agility needed to operate successfully in the face of continued uncertainty.
For a CEO to properly understand risk exposure and make the right investments, IT departments have to be able to confidently communicate what types of data are on any given device at any given time.
Here are five questions that IT teams should be ready to answer when their CEO comes calling:
What have we spent our money on?
Or, more specifically, exactly how many assets do we have? And, do we know where they are? While these seem like basic questions, they can be shockingly difficult to answer … much more difficult than people realize. The last several months in the wake of the COVID-19 outbreak have been the proof point.
With the mass exodus of machines leaving the building and disconnecting from the corporate network, many IT leaders found themselves guessing just how many devices had been released into the wild and gone home with employees.
One CIO we spoke to estimated they had “somewhere between 30,000 and 50,000 devices” that went home with employees, meaning there could have been up to 20,000 that were completely unaccounted for. The complexity was further compounded as old devices were pulled out of desk drawers and storage closets to get something into the hands of employees who were not equipped to work remotely. Companies had endpoints connecting to corporate network and systems that they hadn’t seen for years — meaning they were out-of-date from a security perspective as well.
This level of uncertainty is obviously unsustainable and introduces a tremendous amount of security risk. Every endpoint that goes unaccounted for not only means wasted spend but also increased vulnerability, greater potential for breach or compliance violation, and more. In order to mitigate these risks, there needs to be a permanent connection to every device that can tell you exactly how many assets you have deployed at any given time — whether they are in the building or out in the wild.
Are our devices and data protected?
Device and data security go hand in hand; without the ability to see every device that is deployed across an organization, it becomes next to impossible to know what data is living on those devices. When employees know they are leaving the building and going to be off network, they tend to engage in “data hoarding.”
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Animal Jam was hacked, and data stolen; here’s what parents need to know
WildWorks, the gaming company that makes the popular kids game Animal Jam, has confirmed a data breach.
Animal Jam is one of the most popular games for kids, ranking in the top five games in the 9-11 age category in Apple’s App Store in the U.S., according to data provided by App Annie. But while no data breach is ever good news, WildWorks has been more forthcoming about the incident than most companies would be, making it easier for parents to protect both their information and their kids’ data.
Here’s what we know.
WildWorks said in a detailed statement that a hacker stole 46 million Animal Jam records in early October but that it only learned of the breach in November.
The company said someone broke into one of its systems that the company uses for employees to communicate with each other, and accessed a secret key that allowed the hacker to break into the company’s user database. The bad news is that the stolen data is known to be circulating on at least one cybercrime forum, WildWorks said, meaning that malicious hackers may use (or be using) the stolen information.
The stolen data dates back to over the past 10 years, the company said, so former users may still be affected.
Much of the stolen data wasn’t highly sensitive, but the company warned that 32 million of those stolen records had the player’s username, 23.9 million records had the player’s gender, 14.8 million records contained the player’s birth year and 5.7 million records had the player’s full date of birth.
But, the company did say that the hacker also took 7 million parent email addresses used to manage their kids’ accounts. It also said that 12,653 parent accounts had a parent’s full name and billing address, and 16,131 parent accounts had a parent’s name but no billing address.
Besides the billing address, the company said no other billing data — such as financial information — was stolen.
WildWorks also said that the hacker stole players’ passwords, prompting the company to reset every player’s password. (If you can’t log in, that’s probably why. Check your email for a link to reset your password.) WildWorks didn’t say how it scrambled passwords, which leaves open the possibility that they could be unscrambled and potentially used to break into other accounts that have the same password as used on Animal Jam. That’s why it’s so important to use unique passwords for each site or service you use, and use a password manager to store your passwords safely.
The company said it was sharing information about the breach with the FBI and other law enforcement agencies.
So what can parents do?
- Troy Hunt, a security researcher and owner of Have I Been Pwned, a website that helps you find out if you’re a victim of a data breach, has already obtained a copy of the stolen data. That means anyone can go to Have I Been Pwned and check to see if they are a victim of the Animal Jam breach.
- Thankfully the data associated with kids accounts is limited. But parents, if you have used your Animal Jam password on any other website, make sure you change those passwords to strong and unique passwords so that nobody can break into those other accounts.
- If you need help safely and securely storing or generating strong passwords, use a password manager.
- Keep an eye out for scams related to the breach. Malicious hackers like to jump on recent news and events to try to trick victims into turning over more information or money in response to a breach.
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