Threatcare Revolutionizes Breach and Attack Simulations



Today, Threatcare announces the release of the Threatcare App and Threatcare Agent, the latest offerings from the leader in Breach and Attack Simulations.

Threatcare is based in Austin, Texas, and is a venture-backed cybersecurity software and services company.

“Security testing is so challenging for technical professionals focused on security operations that many don’t try it. Breach and attack simulation tools help make security postures more consistent and automated.” – Gartner.

The newly-released Threatcare App can act as a standalone

desktop application that allows organizations to leverage Breach and Attack Simulations and other techniques to test network security, even without an Internet connection.

“We’ve talked to hundreds of cybersecurity practitioners,” founder and CEO, Marcus Carey, says. “The five most common requests we’ve heard are offline testing, custom techniques, endpoint protection testing, custom playbook creation, and integration with the MITRE ATT&CK™ framework. We’ve built all of those into the Threatcare App.”

The Threatcare App is ideal for cybersecurity practitioners, consultants, and penetration testers who need…
  • Fast, comprehensive, and accurate point-in-time Breach and Attack Simulations for network infrastructure
  • An efficient and easy-to-use tool
  • Desktop deployment

The Threatcare Agent is an add-on that provides powerful functionality to the Threatcare App, turning it into a command center with the ability to control

a network of Threatcare Agents. By connecting multiple Threatcare Agents to a single Threatcare App, you can run techniques simultaneously across multiple networks.

The Threatcare Agent, coupled with the powerful Threatcare App, is ideal for cybersecurity executives and teams who need…
  • Continuous visibility and insight into an unlimited number of IT and cloud assets
  • Powerful and flexible enterprise-grade process management, scheduling, and analytics
  • On-premises and cloud deployment

“I like the ease of use it brings to testing and training your security staff and making sure your expensive array of security products is working as expected,” says Ron Gula, co-founder of Tenable.

About Threatcare

Threatcare is the leader in Breach and Attack Simulations. They help progressive technology companies measure the effectiveness of their cybersecurity programs through their software and advisory services. Their real-time insights and actionable recommendations enable companies to secure more faster.

Threatcare founder and CEO, Marcus Carey, started his career in cryptography in the U.S. Navy. He has more than 20 years of experience working in penetration testing, incident response, and digital forensics with federal agencies such as NSA, DC3, DIA, and DARPA.

Original Article posted on www.threatcare.com – Link: https://www.threatcare.com/threatcare-revolutionizes-breach-and-attack-simulations/

Geospatial Data Solutions Streamline Energy Projects

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OLATHE, Kan. – Terracon is excited to announce that Pivvot and its 20 employees have joined our company, bringing together Pivvot’s industry-leading location intelligence with Terracon’s multidiscipline engineering consulting services and proprietary data solutions to enhance project delivery for energy-sector clients.

Pivvot streamlines projects with geospatial location intelligence, including renewable energy siting and suitability, electric transmission and pipeline routing, environmental impact analysis, and custom data acquisition. The company primarily serves clients in the power generation and transmission, engineering and construction, and oil and natural gas markets.

“Our clients demand innovative solutions that keep their projects moving forward quickly and efficiently,” said Gayle Packer, Terracon chair, president, and CEO. “Pivvot’s location intelligence solutions, together with Terracon’s own suite of technology products for site selection and project data management, allow us to leverage the power of data to accelerate projects and provide an unmatched client experience.”

Kansas City-based Pivvot and its employees will immediately become part of Terracon. The firm will continue to operate as Pivvot Inc., and the transition will be seamless for clients.

“Pivvot and Terracon share a common goal to use technology to empower employees and provide our clients with high-quality technical services focused on speed, efficiency, and partnership to streamline project delivery,” said Evan Conway, Pivvot CEO. “We’re excited to join Terracon to enhance our current offerings and expertise and collaborate to develop new ways to solve industry challenges through quality data.”

The new acquisition is supported by Terracon’s Innovation Division and national environmental and geotechnical service lines and data. Pivvot’s location intelligence products and services complement Terracon’s other proprietary technology offerings. These include the award-winning Stage1 tool, which maps valuable geotechnical and environmental data for clients during site selection, and TARGETID, an interactive, map-based tool allowing clients to visualize, filter, and manage large amounts of construction materials testing and observation data in real time, driving timely decision-making to speed project delivery.

Terracon is an employee-owned engineering consulting firm with more than 5,000 employees providing environmental, facilities, geotechnical, and materials services from more than 150 offices with services available in all 50 states. Terracon ranks 24th on Engineering News-Record’s 2021 list of Top 500 Design Firms.

rENIAC Launches Data Engine Software on Amazon EC2 F1 instances to Provide “More than Moore” Processing Power for Open Source NoSQL Databases

rENIAC’s data acceleration software elevates performance of Apache Cassandra in the cloud within minutes of deployment

SAN JOSE — Xilinx ADAPT – March 24, 2021 – Today, rENIAC announced the general availability of rENIAC Data Engine on Amazon Elastic Compute Cloud (Amazon EC2) F1 instances in AWS Marketplace, a software solution that provides an ultrafast data pipeline enabling elastic performance for cloud-hosted databases like Apache Cassandra. rENIAC Data Engine users can expect to see up to a 10x increase in throughput and up to a 20x reduction in latency within minutes of deployment.

The need for cloud-based high-performance computing has reached new heights in the last five years as the gap between real-time data growth and processing power has grown. As the gap widened with the slowing of Moore’s Law, the idea formed that combining data center components like CPUs and SSDs with FPGAs into a standard cloud instance could create a supercharged data pipeline for applications and provide “more than Moore” processing power.

rENIAC Data Engine was the solution born of this idea, founded by two experts in FPGA architecture and engineering, Prasanna Sundararajan and Chidamber Kulkarni. FPGAs are already deployed in production environments as performance-boosting hardware for cloud providers like Amazon Web Services (AWS), and customers in industries like telecommunications, manufacturing and finance have leveraged this hardware for years.

Now, with today’s announcement of the availability of rENIAC Data Engine on Amazon EC2 F1 instances, the powerful combination of public cloud and FPGAs is available to any organization that needs better performance out of open source databases like Apache Cassandra.

The F1 instance combines all the benefits of a major infrastructure provider without the cost or maintenance of physical hosting, which gives users the flexibility of cloud with the power of a datacenter. The F1 instance is particularly innovative, however, as it leverages FPGAs or Field Programmable Gate Arrays in order to provide deterministic throughput and consistent low latency when used for data-intensive applications.

“We have seen firsthand the need for a true drop-in solution that allows databases to keep pace with the flow of end user data,” said Sundararajan. “Market leaders in industries like retail, eCommerce and finance no longer want to continue to add database nodes or CPUs in order to try and keep up with their application’s compute needs. Innovators are looking for the next jump in processing innovation to operationalize large data sets in real-time, and we are very excited to bring that solution to market together with Xilinx and AWS.”

By creating a data pipeline that connects commercially available CPUs and SSD components with FPGAs and open source databases, rENIAC Data Engine provides huge performance boosts that can be realized within minutes of deployment without the need for any specialized engineering knowledge.

Not only is rENIAC the only true drop-in data accelerator available for Apache Cassandra to increase throughput and reduce latency, it is also the only solution that can be used for “on demand performance” boosts by expanding the row cache feature native to Cassandra. “Many teams will find themselves adding Cassandra nodes or moving them to high I/O compute instances to try and keep up with applications that demand single-millisecond latency,” said Prasad Bagewadi, Cassandra expert and author of Cassandra Admin DBA Guide. “Unfortunately, using ephemeral storage on the high throughput instances or changing the instance types of existing nodes comes at the cost of higher maintenance and downtime. rENIAC is bringing a much needed solution for low, predictable latency and potential cost reduction to the Cassandra community.”

This data acceleration solution from rENIAC, Xilinx and AWS is the “holy grail” as one customer puts it, to scale data infrastructure up or down with zero downtime, allowing engineering teams to deliver “always on” performance requirements.  This is critical for application developers and data teams across industries as customer demand for 24/7 services and transactions only continues to grow.  “rENIAC provides a critical competitive advantage for any organization that wants to transact with strict SLA windows or that simply wants to avoid downtime during a peak event,” said Dave Carr, longtime IT services leader and cybersecurity executive. “You can’t put a ‘back in an hour’ sign up in your window anymore; customers want to be able to transact on their schedule, and rENIAC makes that possible.”

In line with this thinking, AWS sees the democratization of high-performance computing as key to their customer’s growth and a benefit that should not be restricted to the most powerful technical organizations in the world.  “We are pleased to support rENIAC as an AWS Partner in the AWS Partner Network (APN) that is making the Amazon EC2 F1 instance even more accessible to customers,” said Michal Skiba, Senior Product Manager, Amazon EC2, AWS.  “Amazon EC2 F1 instances are already in use by customers across industries like genomics, networking and security, and finance and analytics, and now rENIAC Data Engine makes it even easier for customers of all sizes to realize maximum database performance.”

To try rENIAC Data Engine on Amazon EC2 F1 instances, visit the AWS Marketplace listing, and to learn more, register for the how-to-get-started webinar on April 13.

Visit www.reniac.com or contact us at hello@reniac.com for support, pricing or press inquiries.

TripleBlind’s Automated and Real-Time De-Identification Facilitates Data Sharing among Healthcare Institutions, the Only Solution that De-Identifies Genomic Data

full article here

Enforces HIPAA, GDPR and other Regulatory Standards, Built on One-Way Encryption, Eliminates Potential for Patient Identification

KANSAS CITY, MO., May 25, 2021 – The solutions available today to share regulated data while remaining in compliance with HIPAA, GDPR and other standards are typically slow and expensive, and it can also be unclear that all the data was actually de-identified. As a result, many organizations continue to conduct research and data analysis as well as develop algorithms with limited data sets, impacting the efficacy of these operations. And, enormous amounts of healthcare data remain unutilized due to privacy concerns.

TripleBlind has created a highly innovative approach to data de-identification via one-way encryption that allows all data attributes to be used, even at the patient level, while eliminating any possibility of the data user learning anything about the patient’s identity. Its patented breakthroughs in advanced mathematics give healthcare organizations the ability to share PHI, health records, genomic and other data, unlocking the ability to conduct a wide range of data operations, such as data analysis, algorithm development and algorithm validation. TripleBlind is the only solution to effectively de-identify genomic data, without impacting the resolution of the underlying data.

“We selected TripleBlind as our data privacy partner due to its novel approach for protecting sensitive patient and related data. Its blind de-identification approach via one-way encryption is an important part of our data and technology platform for personalized medicine and drug development,” said Tero Silvola, CEO of BC Platforms, a global leader in healthcare data management, analytics and access. “We work daily with highly sensitive and regulated data, and identified TripleBlind’s approach as unique and highly suited to our needs.”

TripleBlind’s Blind De-identification via one-way encryption enables data to be usable at its highest resolution without incurring an accuracy penalty. It provides many advantages over the five methods for data anonymization most frequently utilized today. Blind de-identification does not alter the fidelity of the data, while:

  • K-anonymization alters the fidelity of the data through two means: suppression (data masking); certain values of the attributes are replaced by an asterisk. All or some values of a column may be replaced by an asterisk; or generalization; individual values of attributes are replaced with a broader category, e.g., the value 19 might be replaced with <20,
  • Pseudonymization replaces private identifiers with fake identifiers or pseudonyms,
  • Data swapping (shuffling or permutation) rearranges the dataset attribute values so they do not correspond with the original records,
  • Data perturbation modifies the original data set by rounding numbers and adding random noise, also known as differential privacy,
  • Synthetic data is often used in place of altering the original dataset or using it as is and risking privacy, but even the best synthetic data is still a replica of specific properties of the original data.

In addition, TripleBlind allows operations on data in real-time without needing to generate an anonymized basket of data that is a snapshot of the past. The path from data collection to data usage is significantly faster, cheaper and seamless using blind de-identification. Fewer data preparation steps translate to lower data project costs, less legal paperwork and more powerful insights that use the complete, unaltered data set in the most private way currently possible.

“When we developed TripleBlind’s mathematical breakthrough in cryptography, we were focused on the unique challenges in industries such as healthcare. Our de-identification approach for PHI and genomic data in particular means that even if one patient’s data is used in an operation by a third party, that third party lacks the means to learn anything about the individual besides the output of the operation running on the genomic sequence,” said Riddhiman Das, co-founder and CEO of TripleBlind. “Our system includes several built-in algorithms that can be used for different genomic applications, including random forest trees, lasso regression, ridge regression, neural networks and topological data analysis, alongside the ability to write custom algorithms.”

 

About TripleBlind

TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and commercialize regulated data, such as PII and PHI, and mission-critical enterprise data, such as medical records. With TripleBlind, decision-makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, while enabling enterprises to enforce today’s regulatory standards, such as HIPAA, GDPR and PDPA.

For more information, please visit tripleblind.ai.

Contact information:

Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
tripleblind@upraisepr.com
Tel: +1 (415) 397-7600

TripleBlind Joins the Snowflake Technology Partner Program, Supplements Innovative Cloud Security Infrastructure with Private Data Sharing

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Snowflake Customers Can Safely Share Sensitive Data and Improve the Effectiveness of AML Initiatives, Healthcare Diagnoses and Finance Applications

TripleBlind Natively Supports Snowflake via JDBC, No Integration Required

KANSAS CITY, MO., May 4, 2021 – TripleBlind announced today its partnership with Snowflake, the Data Cloud company, to empower joint customers to run TripleBlind’s API-driven virtual exchange solution that enables data owned by one enterprise to run specific operations on data owned by another enterprise, on Snowflake’s platform.

“Snowflake’s platform includes multiple features such as dynamic data masking and end-to-end encryption, leveraging sophisticated cloud security technology to secure data both in transit and at rest,” said Riddhiman Das, co-founder and CEO of TripleBlind. “TripleBlind’s private data sharing builds on this strong foundation by allowing the data consumer to analyze and generate insights from sensitive data without decrypting it. With these insights, financial institutions create more effective anti-money laundering initiatives and healthcare systems that improve the quality of their diagnoses through access to larger, more diverse data sets.”

When a data owner and data consumer agree to private data sharing on Snowflake’s platform, TripleBlind’s solution automatically de-identifies the data and ensures they never move outside the owner’s firewall. The data consumer can only perform operations on the data specifically allowed by the data owner and all computations occur in the encrypted space. TripleBlind’s API-driven virtual exchange keeps intellectual property in an algorithm safe from reverse engineering attempts, while Snowflake’s secure data sharing technology means that data is never required to be moved or copied and is up-to-date. TripleBlind’s platform is architected to natively support data sets stored in the Snowflake Data Cloud, which means customers can seamlessly integrate the solution within their instance.

“Snowflake’s platform enables secure data sharing and the enforcement of privacy regulations to be seamless in the Data Cloud,” said Todd Crosslin, Global Head of Healthcare and Life Sciences, Snowflake. “Our partnership with TripleBlind can give customers the ability to securely share data in a governed way across their organizations and with partners, vendors and customers, without ever needing to move or copy the data.”

 

About TripleBlind

TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and commercialize regulated data, such as PII and PHI, and mission-critical enterprise data, such as tax returns and banking transactions. It unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and unutilized due to privacy concerns and regulations. With TripleBlind, decision-makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, while enabling enterprises to enforce today’s regulatory standards, such as HIPAA, GDPR, PDPA and other regulatory standards.

For more information, please visit tripleblind.ai.

Contact information:

Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
tripleblind@upraisepr.com
Tel: +1 (415) 397-7600

TripleBlind Receives Investment from Mayo Clinic, Expanding Current Collaboration

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KANSAS CITY, Mo., April 27, 2021 (GLOBE NEWSWIRE) — Today, TripleBlind announced that it expanded its collaboration with Mayo Clinic, which invested in a seed extension round, the only investor participating. TripleBlind recently announced that it raised $8.2 million in a significantly oversubscribed seed funding round. Mayo Clinic joins Accenture Ventures, Okta Ventures, NextGen Venture Partners, Operator Partners, Wavemaker Three-Sixty Health, AVG Basecamp Fund, Anorak Ventures, Quiet Capital, Clocktower Technology Ventures, Parity Responsible Technology Fund and Manresa Ventures as a TripleBlind investor.

“As part of our mission to commercialize innovative technologies for the benefit of patients worldwide, we are furthering our collaboration with TripleBlind through this investment,” said Andy Danielsen, Chair, Mayo Clinic Ventures.

TripleBlind is collaborating with Mayo Clinic on data-analysis, algorithm training and validation on one-way encrypted data and on next generation algorithm sharing. Mayo Clinic researchers are using TripleBlind’s tools to validate interoperability of encrypted algorithms on encrypted data and the training of new algorithms on private data.

TripleBlind’s API-driven virtual exchange solution is based on breakthroughs in advanced mathematics, which the Mayo Clinic team is using and validating. TripleBlind is not accessing any Mayo Clinic data.

“TripleBlind’s API-driven virtual exchange solution accelerates how organizations develop, test and deploy AI solutions in healthcare, and leverage third party data amidst heavily regulated privacy concerns,” said Riddhiman Das, co-founder and CEO of TripleBlind. “We believe Mayo Clinic’s investment further supports our approach and we’re excited to continue our collaboration to deploy TripleBlind’s encryption tools and work on real-world applications.”

TripleBlind’s solution functions as the innovative data encryption conduit that keeps the data and intellectual property in the algorithm secure and addresses the issue that today, healthcare systems have to either transfer data or algorithms outside their institution for experts to train or conduct research. The encryption conduit Mayo Clinic is evaluating will eliminate the need for data transfer or for sharing the algorithm, thus protecting intellectual property and data.

The collaboration is also seeking to demonstrate that TripleBlind’s toolset can be applied to train and develop entirely new algorithms from independent entities anywhere in the world without the need to share raw data, thus preserving privacy and security while meeting regulatory standards.

About TripleBlind

TripleBlind’s patented breakthroughs in advanced mathematics arm organizations with the ability to share, leverage and monetize regulated data, such as PII and PHI, and mission-critical enterprise data, such as tax returns and banking transactions. It unlocks the estimated 105 petabytes of data stored by enterprises today that are inaccessible and unmonetized due to privacy concerns and regulations. With TripleBlind, decision-makers generate new revenue for their organizations by gaining deeper insights faster, creating improved modeling and analysis, and collaborating more effectively with customers and partners and even competitors, while enabling enterprises to enforce today’s regulatory standards, such as HIPAA, GDPR and PDPA.

For more information, please visit tripleblind.ai.

Contact information:

Victoria Guimarin
UPRAISE Marketing + Public Relations for TripleBlind
Tel: +1 (415) 397-7600
tripleblind@upraisepr.com