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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.”

The Latest

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...