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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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What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...

In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...

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There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

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IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

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In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...

Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty ...

IT infrastructure (on-premises, cloud, or hybrid) is becoming larger and more complex. IT management tools need data to drive better decision making and more process automation to complement manual intervention by IT staff. That is why smart organizations invest in the systems and strategies needed to make their IT infrastructure more resilient in the event of disruption, and why many are turning to application performance monitoring (APM) in conjunction with high availability (HA) clusters ...