Coralogix has achieved FedRAMP® Ready status and is now listed in the Federal Risk and Authorization Management Program Marketplace.
This milestone underscores Coralogix's commitment to providing secure, compliant, and efficient observability services to customers, especially within the government sector.
FedRAMP is a government-wide program that promotes the adoption of secure cloud services across the federal government by providing a standardized approach to security and risk assessment for cloud technologies and federal agencies.
By meeting the stringent requirements of FedRAMP, Coralogix assures federal agencies and partners that it meets the highest standards in data security and privacy. Coralogix's observability platform, encompassing log analytics, APM, RUM, SIEM and more, delivers comprehensive insights while ensuring data integrity and compliance.
"Our FedRAMP Ready status confirms our dedication to upholding rigorous security standards, ensuring the protection of sensitive government data," said Ariel Assaraf, CEO and co-founder of Coralogix. He added, "Our winning combination of innovative products, world-class customer support and built-in cost optimization make us an ideal and cost-effective observability platform for government agencies."
Matt Handler, COO at Coralogix said, "We have been approached by governmental organizations interested in our ability to affordably handle the massive scale of telemetry data for homeland, security and other government entities." He added, "Being FedRAMP ready is an important step toward achieving full FedRAMP Authorization and showcases our commitment to serving the public sector with the highest levels of security and compliance."
With data volumes continuously growing and data processing and data storage both major line items, governmental budgets for observability are stretched thin. As a result, public sector agencies may be forced to cherry-pick which data they can afford to monitor, resulting in subpar troubleshooting, trend analysis and most concerningly, missing potential cyber threats. Coralogix directly addresses these challenges with its in-stream data analysis and flexible data pipeline prioritization that eliminates the need for expensive indexing and hot storage. In practical terms, with Coralogix, government entities can potentially enjoy a unified monitoring experience for all their operational and security data, while realizing significant savings of up to 70% when compared to other solutions in the market.
The Latest
As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...
Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...
The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...
Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...
Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to third party services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...
If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...
Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...
APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...
APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...
APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...