Startup Spotlight: insider threat cybersecurity from Dtex
Insider threat protection refers to the unco...
San Jose, California-based Dtex Systems is a cybersecurity firm specialising in insider threat protection.
Insider threat protection refers to the uncovering of potentially dangerous activity within an organisation’s network, identifying and predicting risks across the proliferating number of endpoints inherent to a modern organisation. Dtex’s specific implementation is known as DMAP+, a technology which correlates telemetry, introspection and predictive modeling in real-time, to identify patterns and therefore threats.
Dtex’s approach has seen it raise $57.5mn since its Series A round in 2015. Earlier this month, the company raised $17.5mn in a Series D round led by Northgate Capital, with other investors including Four Rivers Group and Northwest Venture Partners.
“The addressable market for Dtex sits squarely in the enterprise insider threat cybersecurity sector, where the need to eliminate point solutions has already moved beyond the early adopters,” said Bahman Mahbod, President & CEO, Dtex. “Insider threat security needed a total revamp – one with a modern approach that offers comprehensive and organization-wide visibility. Dtex is providing customers with a simple and endlessly scalable platform to instrument the enterprise in real-time, with sophisticated analytics that are proven to find the needles in the haystack.”
The company said it had doubled revenues in 2019, and that it would use the new funding to expand beyond its traditional heartland of banking and financial services, critical infrastructure, government and defence into industries such as pharmaceuticals, life sciences and manufacturing.
“We’ve been impressed by the success of the Dtex management team that has successfully scaled and exited cybersecurity companies and has now delivered enterprise-wide deployments for world-renowned blue-chip financial services, critical infrastructure and government clients,” said Justin Stebbins, partner, Northgate Capital. “Today’s cybersecurity needs are greater than ever. Threat vectors and sophistication of attacks are increasing, and information security has become a battleground of fragmented point solutions, to the dismay of security operators.”
Confluent announces new private cloud building platform
Confluent, a platform that sets data in motion, today announced Confluent for Kubernetes, the first platform purpose-built to bring cloud-native capabilities to data streams in private infrastructures.
Confluent for Kubernetes allows platform teams to bring much of the same cloud-native experience found within Confluent Cloud to their self-managed environments while enabling operations teams to retain control of their data and infrastructure. As a cloud-native solution, Confluent for Kubernetes helps achieve faster time-to-value and reduce operational burdens with a fully elastic and scalable cloud-native experience in private infrastructure.
“To compete in the digital realm, organisations need to quickly deliver personalised customer experiences and real-time operations, which are only possible with access to data from all environments and cloud-native advantages,” said Ganesh Srinivasan, Chief Product and Engineering Officer, Confluent.
“For organisations that need to operate on-premises, we’re bringing the benefits of cloud computing to their private infrastructure with Confluent for Kubernetes. Now, any company can build a private cloud service to move data across their business regardless of its environment.”
How can Confluent for Kubernetes help?
Organisations who are transitioning to the cloud or who need to keep workloads on-premises can use Confluent for Kubernetes’ cloud-native capabilities, including a declarative API to deploy and operate Confluent. According to the company, the platform also makes moving applications to the public cloud easier by ‘seamlessly migrating workloads to wherever your business needs them with the ability to connect and share data with Confluent Cloud’.
Enhanced reliability – As a cloud-native system, Confluent for Kubernetes detects if a process fails and will automatically restart processes or reschedule as necessary. Automated rack awareness spreads replicas of a partition across different racks, improving the availability of your brokers and limiting the risk of data loss.
Automated elasticity – Meet changing business demands with the ability to scale up using API-driven operations. The platform will automatically generate configurations, schedule and run new broker processes, and ensure data is balanced across brokers so that clusters can be efficiently utilised.
Simplified infrastructure management – Confluent for Kubernetes extends the Kubernetes API, enabling organisations to define the desired high-level state of clusters rather than manage all the low-level details. This infrastructure-as-code approach reduces the operational burden and achieves a faster time to value, while enhancing security with standards that can be easily and consistently deployed across an organisation.