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Datadog LLM Observability Is Now Generally Available to Help Businesses Monitor, Improve and Secure Generative AI Applications

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New product helps companies like WHOOP and AppFolio monitor hallucinations, adopt LLMs and release generative AI features with confidence

NEW YORK, June 26, 2024 /PRNewswire/ — Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced the general availability of LLM Observability, which allows AI application developers and machine learning (ML) engineers to efficiently monitor, improve and secure large language model (LLM) applications. With LLM Observability, companies can accelerate the deployment of generative AI applications to production environments and scale them reliably.

Organizations across all industries are racing to release generative AI features in a cost-effective way, but implementing and bringing them to production can present several challenges due to the complexity of LLM chains, their non-deterministic nature and the security risks they pose.

Datadog LLM Observability helps customers overcome these challenges so they can confidently deploy and monitor their generative AI applications. This new product provides visibility into each step of the LLM chain to easily identify the root cause of errors and unexpected responses such as hallucinations. Users can also monitor operational metrics like latency and token usage to optimize performance and cost, and can evaluate the quality of their AI applications—such as topic relevance or toxicity—and gain insights to mitigate security and privacy risks with out-of-the-box quality and safety evaluations.

Unlike traditional tools and point solutions, Datadog’s LLM Observability offers prompt and response clustering, seamless integration with Datadog Application Performance Monitoring (APM), and out-of-the-box evaluation and sensitive data scanning capabilities to enhance the performance, accuracy and security of generative AI applications while helping to keep data private and secure.

“WHOOP Coach is powered by the latest and greatest in LLM AI. Datadog’s LLM Observability allows our engineering teams to evaluate performance of model changes, monitor production performance and increase quality of Coach interactions. LLM Observability allows WHOOP to provide and maintain coaching for all our members 24/7,” said Bobby Johansen, Senior Director Software at WHOOP.

“The Datadog LLM Observability solution helps our team understand, debug and evaluate the usage and performance of our GenAI applications. With it, we are able to address real-world issues, including monitoring response quality to prevent negative interactions and performance degradations, while ensuring we are providing our end users with positive experiences,” said Kyle Triplett, VP of Product at AppFolio.

“There’s a rush to adopt new LLM-based technologies, but organizations of all sizes and industries are finding it difficult to do so in a way that is both cost effective and doesn’t negatively impact the end user experience,” said Yrieix Garnier, VP of Product at Datadog. “Datadog LLM Observability provides the deep visibility needed to help teams manage and understand performance, detect drifts or biases, and resolve issues before they have a significant impact on the business or end-user experience.”

LLM Observability helps organizations:

Evaluate Inference Quality: Visualize the quality and effectiveness of LLM applications’ conversations—such as failure to answer—to monitor any hallucinations, drifts and the overall experience of the apps’ end users.Identify Root Causes: Quickly pinpoint the root cause of errors and failures in the LLM chain with full visibility into end-to-end traces for each user request.Improve Costs and Performance: Efficiently monitor key operational metrics for applications across all major platforms—including OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, Vertex AI and more—in a unified dashboard to uncover opportunities for performance and cost optimization.Protect Against Security Threats: Safeguard applications against prompt hacking and help prevent leaks of sensitive data, such as PII, emails and IP addresses, using built-in security and privacy scanners powered by Datadog Sensitive Data Scanner.

Datadog LLM Observability is generally available now. To learn more, please visit: http://datadoghq.com/product/llm-observability.

About Datadog

Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

Forward-Looking Statements

This press release may include certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption “Risk Factors” and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on November 7, 2023, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

Contact
Dan Haggerty
press@datadoghq.com

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Keeper Security Launches Integration With Wiz to Remediate Critical Cloud Vulnerabilities

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With new integration, Keeper’s identity security platform remediates vulnerabilities discovered by Wiz, enabling closed-loop protection across cloud environments.

CHICAGO, June 16, 2026 /PRNewswire/ — Keeper Security, the leading zero-trust and zero-knowledge identity security and Privileged Access Management (PAM) platform, today announces a new integration with Wiz, a leading cloud and AI security platform that is now part of Google Cloud. Joining the Wiz Integration Network establishes Keeper as a remediation engine for identity security vulnerabilities discovered by Wiz, closing the loop between cloud security detection and active risk resolution. When Wiz identifies an identity-related vulnerability, spanning human users, machine identities, AI agents and database accounts, it automatically surfaces the finding in Keeper’s Cloud Security dashboard, where security teams can review and remediate each issue directly within KeeperPAM®.

As cloud environments grow more complex, organizations face an expanding attack surface driven by the rapid proliferation of Non-Human Identities (NHIs), autonomous AI agents and over-privileged service accounts. Wiz surfaces these risks with unmatched cloud visibility and Keeper provides joint customers with an automated, trusted path from discovery to remediation.

“Finding a vulnerability is the first half of the battle,” said Craig Lurey, CTO and Co-founder of Keeper Security. “By integrating with Wiz, Keeper helps customers rotate compromised credentials, enforce privileged access management and reduce over-permissioned identities, turning Wiz’s detection power into faster, more decisive risk reduction. This is the future of cloud security – detection and remediation working as one, giving security teams a clear path from vulnerability discovery to resolution across the identities and workloads that matter most.”

“We’re happy to welcome Keeper to the Wiz Integration Network,” said Oron Noah, VP of Product, Extensibility & Partnerships at Wiz. “Together, we’re helping customers connect cloud risk findings with privileged access controls, making it easier to move from discovery to remediation. By bringing cloud visibility and access management into a unified workflow, teams can better secure both human and machine identities at scale.”

At the heart of the integration is a real-time workflow that transforms Wiz’s Issues into Keeper-driven remediation actions. When a Wiz customer enables the Keeper integration, Wiz scans the cloud environment for identity security vulnerabilities within Keeper’s remediation scope. Security teams can then select a finding and execute the appropriate remediation action through KeeperPAM:

Rotate compromised credentials and vault updated secretsBring unmanaged accounts under PAM governanceReduce excessive privileges for users, service accounts and IAM rolesMap Wiz Issues to existing PAM records or onboard new resourcesSubmit resolutions back to Wiz to close the loop on each finding

This tight integration bridges the gap between cloud security detection and identity security remediation, giving security teams a single, closed-loop workflow. Rather than manually triaging Wiz Issues and separately executing remediation steps in Keeper, KeeperPAM works alongside Wiz by automatically receiving identity-related Issues and streamlining the remediation steps. For teams, this results in accelerated Mean Time To Remediation (MTTR) and a dramatically reduced window of exposure before a vulnerability can be exploited.

The integration is especially powerful in AI-native environments, where autonomous agents and service accounts can rapidly accumulate excessive permissions across cloud infrastructure. Wiz’s AI Application Protection Platform (AI-APP) detects over-privileged AI agents, insecure service configurations and other AI-native risks. Keeper serves as a designated remediation engine, enforcing least privilege policies and enabling just-in-time access controls for AI agents in response. Together, they secure the full AI lifecycle from code to runtime, without requiring manual intervention from security teams.

Key benefits include:

Streamlined Identity Remediation: When Wiz discovers an identity security vulnerability, Keeper takes action – rotating compromised credentials, enforcing PAM controls and reducing excess privileges – streamlining the steps between detection and resolution.Closed-Loop Security Workflow: Connect Wiz’s industry-leading cloud and AI vulnerability detection directly to Keeper’s privileged access management platform for a complete detect-to-remediate pipeline that operates at cloud scale.Accelerated Mean Time to Remediation: By accelerating response to identity vulnerabilities at the moment of discovery, organizations dramatically shrink the window of exposure and reduce the risk of breach escalation.Comprehensive Identity Coverage: Remediation scope covers the full range of identity types, including human users, machine identities, AI agents and database accounts, ensuring no privileged entity goes unmanaged across cloud environments.

KeeperPAM, Keeper’s cloud-native privileged access management platform, unifies password, secrets and connections management with zero-trust network access, endpoint privilege management and remote browser isolation in a single solution. Built on a zero-trust and zero-knowledge architecture, KeeperPAM provides real-time visibility, automated credential security and AI-powered session monitoring to help organizations prevent breaches and maintain compliance across hybrid and multi-cloud environments.

By connecting detection directly to remediation, Keeper and Wiz give security teams the confidence that cloud risks are not just visible, but actively resolved. KeeperPAM’s zero-trust architecture ensures every remediation action maintains a verifiable chain of custody – from Wiz’s initial finding through to Keeper’s corrective action – supporting both continuous compliance and audit readiness.

Keeper’s integration with Wiz is available now. Review the full release notes in the Keeper documentation.

About Keeper Security
Keeper Security is the leading zero-trust and zero-knowledge identity security solution, trusted by millions of people and thousands of organizations globally. KeeperPAM® is Keeper’s privileged access management platform that unifies password and passkey management, secrets management, privileged session management and endpoint privilege management in a single cloud-native platform, protected with quantum-resistant encryption. KeeperAI delivers real-time, AI-native threat detection across every privileged session. As AI agents proliferate and identity becomes the defining attack surface, Keeper governs access for humans, machines, non-human identities and AI agents, serving as the unified control plane for access, compliance and visibility across the enterprise. For more information, visit KeeperSecurity.com.

Learn more: KeeperSecurity.com

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Media Contact
Katherine Benfield
ICR for Keeper Security
keepersecurity@icrinc.com

 

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Benzinga Launches Institutional Portfolio Intelligence API for Faster Institutional Ownership Intelligence

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DETROIT, June 16, 2026 /PRNewswire/ — Benzinga, a leading provider of market intelligence and financial data APIs, today announced the launch of its Institutional Portfolio Intelligence API. The new dataset is designed to help brokerages, fintech platforms, quantitative researchers, and investor applications uncover signals hidden within hedge fund and institutional portfolios.

The dataset provides institutional holdings, capital flow trends, portfolio analytics, and ownership intelligence across more than 11,000 U.S. equities and ETFs. It delivers portfolio intelligence covering more than 8,000 hedge funds and institutional managers representing over $50 trillion in assets under management.

Unlike many institutional ownership datasets that refresh on quarterly reporting cycles, Benzinga’s Institutional Portfolio Intelligence API instantly incorporates newly filed 13F disclosures as they become available. Firms can use this data to identify emerging trends, monitor shifts in institutional conviction, and uncover actionable insights from large-scale portfolio activity sooner.

As investors seek deeper insights beyond traditional market data, understanding how professional money managers allocate capital has become an increasingly valuable source of intelligence.

“While institutional holdings are reported quarterly, the market doesn’t wait for quarterly data refreshes,” said Clint Rhea, Manager of Institutional and Channel Partnerships at Benzinga. “Our Institutional Portfolio Intelligence API captures new 13F disclosures as they are filed, allowing clients to identify position initiations, exits, and conviction changes from some of the world’s largest investors as quickly as possible. Whether you’re monitoring a crowded short, tracking institutional accumulation, validating an investment thesis, or understanding how professional money managers are allocating capital, speed and breadth of coverage matter. This dataset delivers on all of them.”

Key capabilities of the Institutional Portfolio Intelligence API include:

Institutional holdings and portfolio dataOwnership trends and capital flow analysisConsensus fund positioning insightsPortfolio concentration and allocation analyticsOutlier trade and conviction signal identificationHistorical coverage dating back to 2013Coverage across 11,000+ U.S. equities and ETFs (and 20,000+ delisted tickers)Fund sentiment by ticker, theme, industry or sectorFund performance and copy-traded returnsFund P/L and other fund manager metricsReal-time raw filings and insights

The dataset is designed for integration into brokerage platforms, portfolio research tools, screening applications, quantitative models, and investor-facing experiences. Available via API, WebSockets, and flat file delivery, the solution enables firms to incorporate institutional intelligence directly into their products and workflows.

The launch further expands Benzinga’s growing suite of institutional-grade market data solutions, helping clients build more informed investing experiences powered by actionable intelligence, alternative datasets, and more timely visibility into institutional portfolio activity.

About Benzinga

Benzinga is a leading financial media and data technology company that empowers investors with high-quality, real-time market intelligence. Through its news platform, APIs, and data products, Benzinga provides traders, financial institutions, and fintech platforms with the insights they need to make smarter investment decisions. From breaking news and analyst ratings to corporate events and alternative datasets, Benzinga’s tools help market participants stay ahead of the information that drives price movement.

To learn more, visit www.benzinga.com/apis/.

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Made Card and Multiply Mortgage Partner to Extend Homeowner Benefits Beyond Closing Day

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NEW YORK, June 16, 2026 /PRNewswire/ — Made Card, the first credit card purpose-designed for the homeowner, today announced a partnership with Multiply Mortgage, the leading provider of homeownership benefits, helping employees across 1,200+ employers finance homes with lower rates and concierge-level support through their workplace.

Made is designed for what comes after closing day. Multiply connects employees to expert loan advisors and competitive rates through a workplace benefit. Made picks up where the mortgage leaves off, turning unavoidable home costs into a measurable financial return. Through the partnership, homebuyers who finance with Multiply will receive access to a suite of exclusive benefits built for new homeowners including a sign-on bonus redeemable toward closing costs and elevated cashback on mortgage payments, utilities, maintenance, and repairs.

“This partnership is a personal one for me,” said Alex Song, Co-Founder of Made Card. “Two years ago, Multiply helped me buy my own home, and I believed in what they were building so much that I became one of their earliest investors. Today we get to build together as operators. Multiply reaches homebuyers at the exact moment they are making the largest financial decision of their lives, and they do it with a level of care I experienced firsthand. Connecting that moment to Made is exactly what this card was built for.”

“Multiply exists to make homeownership more accessible and less stressful, and Made Card extends that mission past closing day,” said Michael White, Co-Founder and CEO of Multiply Mortgage. “Our clients are navigating the biggest purchase of their lives. Pairing that with a card built around what owning actually costs is exactly the benefit our customers deserve.”

About Made Card
Made is building the first credit card purpose-designed for the homeowner’s expenses: the predictable bills, the unexpected ones, and the administrative and emotional weight that no existing financial product was built to address. Turning that unavoidable cost into a measurable financial return, Made addresses a spend category every other card ignores and is building the next-gen home ecosystem.

About Multiply Mortgage
Multiply Mortgage helps employees navigate the largest purchase of their lives: buying a home. Multiply’s financial wellness benefit offers mortgage interest rate discounts and personalized guidance throughout the home financing process, all with zero cost or administrative overhead for the company.

Media Contact
media@madecard.com
madecard.com

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