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Coralogix Launches AI Center

Coralogix launched AI Center, which empowers organizations with real-time visibility into all of their AI applications. 

By delivering comprehensive, real-time insights into AI performance, quality, security, and governance within a single platform, the AI Center empowers businesses to accelerate AI adoption and manage AI agents with confidence.

Coralogix tackles this issue by observing with customizable evaluators that address the “grey areas,” i.e. when AI appears to perform correctly, but has issues related to its responses. Coralogix reviews the content of the user and the AI to determine whether, for example, there is a chance that an exchange contains toxicity, the AI is hallucinating, or a bad actor is trying to breach the chatbot to steal customer data.

With this addition, Coralogix is now the first cross-stack observability platform, transforming how businesses analyze their software, security, and AI systems. The company’s unique ability to analyze data in real-time as it’s ingested provides businesses with real-time monitoring, advanced analytics, and incident management, all while significantly reducing costs and time-to-insight.

“AI is not just another technology layer; it’s a distinct stack with its own complexities and risks,” said Ariel Assaraf, CEO of Coralogix. “Our AI Center delivers real-time transparency into every aspect of that stack, ensuring organizations can monitor, troubleshoot, and secure their AI initiatives before minor errors become major crises. This launch represents a significant step forward in our mission to provide the most advanced cross-stack observability platform imaginable.”

In December 2024, Coralogix acquired Aporia, a leading provider of AI observability and guardrails. That acquisition fueled the rapid development of advanced AI solutions, culminating in today’s launch.

Coralogix’s AI Center Provides:

  • AI Evaluation Engine: Allows users to evaluate AI applications for quality, correctness, security and compliance. Moreover, they can tailor specialized evaluators for each AI use case. The evaluators actively assess each interaction, scanning every prompt and response for potential risks or quality issues.
  • AI-SPM (Security Posture Management): Provides real-time, dedicated monitoring of the security and performance of AI agents across an organization. Its dashboards highlight risks such as prompt injections, data leaks, and PII leakage, allowing teams to pinpoint and address breaches or security risks.
  • Complete User Journey & Cost Tracking: Provides full visibility into user interactions, from conversation histories and logins to token usage. This granular tracking enables teams to pinpoint suspicious resource consumption, detect cost harvesting attempts, and optimize budgets without compromising performance.
  • Performance Metrics: Delivers in-depth insights into AI agent performance. It detects issues like poor response accuracy, latency spikes, and malicious user inputs, enabling teams to resolve underperforming agents before they impact the user experience. By focusing on AI-specific metrics, organizations can ensure a seamless, high-quality AI environment.

“The launch of our AI Center unlocks a significant barrier faced by many AI teams - crossing the chasm from pilot to production,” commented Liran Hason, VP of AI, Coralogix and previously CEO of Aporia. “Having a centralized place to observe and manage all your AI applications for performance, quality and security is the key missing piece to launching AI apps safely.”

“Acquiring Aporia enabled us to rapidly deliver real-time AI observability and establish our new AI Research Center,” said Yoni Farin, CTO and Co-founder of Coralogix. “This expansion goes beyond observability; we’re investing in top-tier talent to build the next generation of AI-driven solutions for our customers worldwide.”

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Coralogix Launches AI Center

Coralogix launched AI Center, which empowers organizations with real-time visibility into all of their AI applications. 

By delivering comprehensive, real-time insights into AI performance, quality, security, and governance within a single platform, the AI Center empowers businesses to accelerate AI adoption and manage AI agents with confidence.

Coralogix tackles this issue by observing with customizable evaluators that address the “grey areas,” i.e. when AI appears to perform correctly, but has issues related to its responses. Coralogix reviews the content of the user and the AI to determine whether, for example, there is a chance that an exchange contains toxicity, the AI is hallucinating, or a bad actor is trying to breach the chatbot to steal customer data.

With this addition, Coralogix is now the first cross-stack observability platform, transforming how businesses analyze their software, security, and AI systems. The company’s unique ability to analyze data in real-time as it’s ingested provides businesses with real-time monitoring, advanced analytics, and incident management, all while significantly reducing costs and time-to-insight.

“AI is not just another technology layer; it’s a distinct stack with its own complexities and risks,” said Ariel Assaraf, CEO of Coralogix. “Our AI Center delivers real-time transparency into every aspect of that stack, ensuring organizations can monitor, troubleshoot, and secure their AI initiatives before minor errors become major crises. This launch represents a significant step forward in our mission to provide the most advanced cross-stack observability platform imaginable.”

In December 2024, Coralogix acquired Aporia, a leading provider of AI observability and guardrails. That acquisition fueled the rapid development of advanced AI solutions, culminating in today’s launch.

Coralogix’s AI Center Provides:

  • AI Evaluation Engine: Allows users to evaluate AI applications for quality, correctness, security and compliance. Moreover, they can tailor specialized evaluators for each AI use case. The evaluators actively assess each interaction, scanning every prompt and response for potential risks or quality issues.
  • AI-SPM (Security Posture Management): Provides real-time, dedicated monitoring of the security and performance of AI agents across an organization. Its dashboards highlight risks such as prompt injections, data leaks, and PII leakage, allowing teams to pinpoint and address breaches or security risks.
  • Complete User Journey & Cost Tracking: Provides full visibility into user interactions, from conversation histories and logins to token usage. This granular tracking enables teams to pinpoint suspicious resource consumption, detect cost harvesting attempts, and optimize budgets without compromising performance.
  • Performance Metrics: Delivers in-depth insights into AI agent performance. It detects issues like poor response accuracy, latency spikes, and malicious user inputs, enabling teams to resolve underperforming agents before they impact the user experience. By focusing on AI-specific metrics, organizations can ensure a seamless, high-quality AI environment.

“The launch of our AI Center unlocks a significant barrier faced by many AI teams - crossing the chasm from pilot to production,” commented Liran Hason, VP of AI, Coralogix and previously CEO of Aporia. “Having a centralized place to observe and manage all your AI applications for performance, quality and security is the key missing piece to launching AI apps safely.”

“Acquiring Aporia enabled us to rapidly deliver real-time AI observability and establish our new AI Research Center,” said Yoni Farin, CTO and Co-founder of Coralogix. “This expansion goes beyond observability; we’re investing in top-tier talent to build the next generation of AI-driven solutions for our customers worldwide.”

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Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

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 thirdparty 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 ...