

Automox has achieved the TX-RAMP Level 2 Certification.
This accomplishment not only underpins Automox's steadfast commitment to data security but uniquely positions the company as a pioneer in compliance and cybersecurity within Texas' evolving digital landscape.
TX-RAMP (Texas Risk and Authorization Management Program), developed by the Texas Department of Information Resources (DIR), establishes rigorous criteria to ensure the security and privacy of cloud services for state agencies. By achieving TX-RAMP Level 2 Certification, Automox has demonstrated its capacity and determination to meet the most stringent security standards required for handling confidential and regulated data.
"Attaining TX-RAMP Level 2 Certification is no small feat. It underscores our dedication to not just meeting, but exceeding, the highest data protection standards," said Jason Kikta, CISO/SVP Product of Automox. "Our customers and partners can trust that their sensitive information is in the safest hands, bolstered by our uncompromising security and privacy measures."
Automox's decision to pursue TX-RAMP Level 2 Certification reflects its overarching commitment to fostering trust and credibility amongst clients, partners, and regulatory bodies. Furthermore, this certification reinforces Automox's competitive edge, solidifying it as the primary Autonomous Endpoint Management solution for entities prioritizing top-notch data security and regulatory compliance.
Automox adds this certification to its bank of other security certifications, including SOC 2, SOC 3, CSA STAR, GDPR, EU-US DPF, and PCI-DSS.
"TX-RAMP Level 2 certification ensures Texas government agencies and educational institutions that the Automox SaaS platform meets the security mandates put forth via Senate Bill 475. By achieving Texas's highest level of certification, Automox is confident all public sector entities will take comfort in Automox's commitment to security. We thank Texas DIR for the partnership and are excited about a future of protecting the public sector against cyber threats," added Automox Director, SLED, Jason Willadsen.
With Automox's TX-RAMP Level 2 Certification, businesses and state agencies alike can leverage a solution that meets the gold standard in security compliance, propelling Texas into a secure digital future.
The Latest
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...