From Risks to Resilience: Evolving Security for the AI-Driven World

This summer underscored how quickly the security landscape is changing. From Hacker Summer Camp to our inaugural Datadog Detect, our team has been engaged in conversations with practitioners, customers, and partners about the opportunities and challenges ahead for the industry. 

This quarter, one theme rose above the rest: AI security. AI brings both excitement and uncertainty. It accelerates detection and response, yet expands the backlog of risks and vulnerabilities. From development to production, organizations need new approaches to secure their AI environments from end-to-end. 

For CISOs, this moment highlights a broader shift. The modern CISO is no longer just a technical leader — we are business leaders, communicators, and risk managers. In the AI era, that role means balancing innovation with accountability: embracing AI’s benefits while addressing the new risks and regulatory requirements. I spoke about the evolution of the CISO’s role at length in a recent podcast, where I explored what it takes to lead security programs in today’s tech and AI-driven environments. 

At Datadog, we are building with this future in mind. At DASH, we introduced Bits AI Security Analyst, alongside new end-to-end AI observability and security features. We also announced Datadog Code Security (now in GA), which helps detect and prioritize vulnerabilities in custom code and open-source libraries. These innovations enable teams to evaluate, monitor, and secure their AI systems with confidence, turning AI into a force multiplier, not a blind spot.

As we look ahead at the rest of the year and into 2026, I believe organizations best positioned for success will be those willing to experiment, adapt, and evolve their definition of security leadership. Breaches will always be a reality, but resilience will come from learning quickly and embedding security across the business. 

There’s much on the horizon for Datadog and our customers, but for now, catch up on all of the innovations and insights from our partners and customers, with a closer look at how Datadog is shaping the future of security and AI. 

— Emilio E. , CISO at Datadog

Smarter Tools for AI, Cloud Costs, and Workload Security

Our teams have been working hard to deliver powerful new capabilities that help you stay ahead, whether it’s optimizing costs, protecting workloads, or integrating with the latest AI tooling.

Integration with LiteLLM

Tracking LLM performance and costs can be tricky. Our new LiteLLM integration makes it easy to trace requests, monitor token usage, and compare model performance across your stack. See how in the blog.

Cloud Cost Recommendations

Cloud Cost Recommendations: Multi-cloud costs can quickly get complex. Our new tool surfaces daily recommendations to rightsize resources and cut waste. Read more on the blog.

Datadog Workload Protection for Kubernetes: Monitoring remote user sessions in Kubernetes is often difficult. Datadog Workload Protection helps you spot suspicious activity more effectively. Learn more in this blog.

Disaster Recovery, IaC Security, and more feature updates 

In case you missed it, we’ve also rolled out a number of features that bring even more depth and flexibility to your workflows. Here are some of the highlights:

• Anthropic Cost Integration: Cloud Cost Management now integrates with the Anthropic Usage and Cost API, giving you visibility into Claude AI spend alongside your broader cloud costs. Learn more.
• OCI Quickstart (GA): A streamlined way to begin monitoring your Oracle Cloud Infrastructure environment: our new OCI Quickstart collects metrics and logs across 30+ services in minutes. See how it works.
• Datadog Network Path: Troubleshooting network issues often requires piecing together fragmented tools. With Network Path, you can now see every hop a packet takes in one view. Read more on the blog.
• Feature Flagging: Feature releases are high-stakes moments in the software development lifecycle (SDLC). Even with modern CI/CD pipelines, many teams rely on feature flags that live outside their observability stack. This creates friction: context switching between tools, missed signals, and slower rollouts. With Datadog Feature Flags, you can bring feature management into the same platform you already monitor and secure. That means less overhead, tighter feedback loops, and faster, safer releases. Read more.

Milestone Reached: 1,000+ Integrations 🎉

We’re excited to share that Datadog has reached a major milestone: more than 1,000 integrations are now available on our platform. From foundational cloud and infrastructure to containers, security, SaaS, and AI, our integration ecosystem continues to scale alongside the rapid changes in enterprise technology. 

Read our blog post to learn more about our journey to 1,000 integrations.

This Month in Datadog

Every month we go behind the scenes with the people building the products you rely on and the stories behind those solutions. Check out the last few episodes of This Month in Datadog to see real-world solutions and how Datadog makes your day-to-day simpler, safer, and more efficient.

Datadog Summits

We loved connecting with the Datadog communities in San Francisco and Sydney this summer. Next up: Tokyo and Seoul! This fall, we’re looking forward to meeting the growing communities there, so engaged and active, they've even launched local Datadog User Groups.

Here’s a quick look back at what we experienced in the Bay Area and the Land Down Under.

Datadog Summit San Francisco

We first brought Summit to San Francisco in 2017, and since then, the local community has grown tremendously. This year, we welcomed thousands of practitioners for a full day of learning, knowledge sharing, and real-world stories of how teams are using Datadog to solve their toughest challenges. Highlights included:

• Datadog in the era of AI: How we’re embedding real-time insights across the software development lifecycle and enabling the next generation of AI-native companies to build efficiently.
• Customer success stories: Technical teams from Glassdoor, UberFreight, Cambia Health, and Mux shared how Datadog helps them drive success.
• Thriving in an AI-powered world: A fireside chat led by Yanbing Li (Datadog CPO) with Aparna Sinha (SVP of Product, Vercel) and Chen Goldberg (SVP of Engineering, CoreWeave) on the opportunities and challenges of AI.

The best part? We are going to be back next year. 📺 ICYMI: Catch up on sessions here.

Datadog Summit Sydney

Big things are happening in the Land Down Under! Australian organizations are innovating rapidly, leaning on Datadog to support ongoing cloud investments and AI initiatives. We’re proud to be part of their journey and inspired by their vision.

In Sydney, we heard from leading companies on how they are transforming cloud performance and driving innovation with Datadog at the core. A big thank you to Culture Amp , Flight Centre Travel Group , and ACM for sharing the ways you’re driving value with Datadog. Your insights and experiences inspire how we continue to build and improve the platform. 📺 ICYMI: Catch up on sessions here. 

Datadog Summit is coming to a city near you! Keep an eye on the Summits hub to join your local community.

Datadog LIVE Bengaluru

We were thrilled to return to India for our second Datadog LIVE in Bengaluru, and it was bigger than ever!

We were joined by engineering leaders from Sony Pictures Networks India , Wow! Momo , CARS24 , Urban Company , Superset , Truworth Wellness , and Tevaera , who shared their perspectives on building resilient systems and embracing innovation. Their discussions on observability and Agentic AI brought incredible depth and energy to the event, sparking conversations that will shape the way we think about the future of technology. A massive thank you to all 1,000+ attendees who joined us and made the event one for the books. 🎉

Security Labs Highlights

Security Research: The Cloud Threat Landscape 

This summer, Datadog researchers gathered with other security professionals to share security research, tips, and open source tooling to the community. 

We also shared our Q2 threat roundup, which highlights notable threats and insights identified by our Security research teams. From significant patterns in the cloud threat landscape to the evolution of the Mimo threat actor, we continue to see the emphasis on software supply-chain attacks that exploit developer trust and tooling. Threat actors are also engineering more durable, cloud-native persistence, from obfuscated NPM packages to “persistence-as-a-service” in serverless environments — signaling a shift toward long-term footholds and platform-agnostic access. 

Datadog Security Digest 

Our Security Labs team is bringing you a monthly newsletter curated by Datadog security experts, created by practitioners, for practitioners. If you’re interested in security, this one’s for you. Check out the latest editions here and subscribe to get insights from the cloud security community and Security Labs posts directly to your inbox.

Datadog Customer Spotlights 

Porsche Informatik: Unified monitoring drives automotive excellence

Porsche Informatik GmbH develops and operates applications that power online storefronts for iconic brands such as Volkswagen, Audi, Porsche, and others. With Datadog, they cut troubleshooting time, reduced MTTR, consolidated 10 tools into one, and accelerated Volkswagen Group’s digital transformation. Read on to learn how Porsche Informatik is accelerating digital transformation with Datadog. 

PayPal: Scaling observability with Datadog + OpenTelemetry

PayPal needed observability at global scale and chose Datadog + OpenTelemetry to power it. The results: faster issue resolution and seamless rollout monitoring. Read the full case study here. 

Flight Centre: Redefining observability as a strategic lever 

In this article from iTnews, A/NZ CTO Grant Currey shares how the Flight Centre team consolidated their observability stack globally with Datadog, supporting 95 countries worldwide and creating a more unified customer and employee experience. Read the full story here. 

Vistar: Scaling monitoring for global ad delivery

Managing custom metrics volume and cost without sacrificing visibility was a major challenge for Vistar Media . But they didn’t just want cost data—they needed cost insights their engineers could trust. Learn how they deployed Datadog Cloud Cost management to make cost a KPI everyone could rally behind.

#DatadogSpotlight

From unifying fragmented monitoring tools to championing workflows, our customers are tackling some of the biggest challenges in observability today. Hear from the individuals themselves as they share how they’ve improved customer experiences, reduced operational costs, empowered cross-functional teams and more.

• Paulo Atavila , IT Manager of Consumer, Connections, and Platform at Serasa Experian (LinkedIn Post)
• Joshua Ham , Senior DevOps Engineer at Beauty Pie (LinkedIn Post)
• H. Robert Wise III , CIO at TriZetto Healthcare Products (a Cognizant company) (LinkedIn Post)
• Bianca Veit da Silva , Senior Platform Engineer at iFood (LinkedIn Post)
• Michelle Chance , VP, Head of Infrastructure and Platform at PayPal (LinkedIn Post)
• Andrew Yu and Matthew Drozdz , VP of Engineering and Senior Engineering Manager at Okta (LinkedIn Post)

Datadog Ambassadors

Whether it’s sharing real-world experiences at Datadog Summits, or organizing community events, our Datadog Ambassadors are always finding new ways to share their knowledge and help solve technical challenges. 

Some standout contributions this past quarter include:

• Suraj Tikoo published a new blog post on how to build resilient browser tests with Datadog Synthetic Monitoring—a practical guide for catching issues before they impact users. Read it here.
• 👨🏻💻 Carles Javierre Aribau kicked off the new Datadog User Group in Madrid, bringing the local community together to share knowledge and best practices. Join the group.
• Ichiro KANO helped organize JDDUG Meet-up #12, featuring three full talks and five lightning sessions packed with insights for developers. Check out the event recap.
• YoungJin Jung spoke at Datadog Live Seoul for the first time as both a customer and an Ambassador, showcasing how his team uses CI Visibility, CD Visibility, and DORA Metrics to improve CI/CD observability. See the event page.
• Michael Levan explores how to integrate AppSec into DevSecOps with Datadog, showcasing hands-on steps for SAST and SCA to strengthen application security, read about it on his blog.
• Changhyeon Yoon and Yubin Kim are co-organizing the 7th Datadog Korea User Group meetup, where Changhyeon will give an in-depth RUM course—sharing how to combine Datadog RUM and APM for modern front-end architectures. RSVP here.

💡 You can also meet Datadog Ambassadors staffing our brand-new User Group Booths at regional summits. You can learn more about the User Group program in each region by stopping by and chatting with our Ambassadors and User Group Organizers:

• Seoul Summit: Changhyeon Yoon & Yubin Kim
• Tokyo Summit: Ichiro Kano & Shogo Hasanuma
• Berlin Summit: Santiago Gómez Sáez

Datadog Life

If you’ve ever wondered what Datadog’s offices look like, catch a glimpse of our Dublin office and our New York City office. We’ve also been busy celebrating moments with our Community Guilds, such as Pride Month and Disability Pride Month, and with our biannual Hackathon. 

Here are a few recent stories you can’t miss:

• We’re continuing to grow our Engineering teams. David, Engineering Manager on the Applied AI team and Emaad on our AI Research Lab share what Datadog is working on in the field of AI. 
• Hear from some of our sales leaders: Anu who leads the Nordics & Benelux Enterprise Sales team, Robbie from the land Down Under, and Rafik from the Benelux team, dig into leading and selling at Datadog.

Join our talent community to learn more about our people, product, and #DatadogLife.

Datadog in the News  

• The National CIO Review: Vibe Coding Moves Into the Mainstream
• Barrchives Podcast: Datadog’s AI Story with Olivier Pomel, Datadog Co-Founder and CEO
• KBKast: Deep Dive: Emilio Escobar | The Modern CISO
• CIO&Leader: From AI Chaos to AI Control: How Observability Is Saving Enterprise AI Deployments
• Springer Professional: Data Security: The nature of the problem has changed
• Interface: AI’s role in closing the DevOps productivity gap
• Enterprise Times: Operational resilience is becoming a high priority for UK businesses
• Frontier Enterprise: Datadog CISO on tackling APAC’s observability crunch
• ASCII: What are the latest features of Datadog worth paying attention to? Datadog Japan's CEO, IVRy, and newmo talk
• APMdigest: Datadog for Government Achieves In Process Authorization for GovRAMP High
• iTnews: Flight Centre Corporate now has a single observability strategy and tool
• Economic Times: Observability now equals watching AI
• Business Network: Datadog's annual DevSevOps report finds 80% of critical vulnerabilities are "unnecessary" to address
• Frontier Enterprise: Datadog’s plan to simplify the security stack
• KBI Media: Datadog Bolsters A/NZ Presence with Roz Gregory Appointment
• Intelligent CISO: FieldEx boosts resilience and efficiency in Malaysia with Datadog cloud observability
• KBI Media: Roller Achieves 60% Cloud Savings and Improved Reliability with Datadog
• Conversational AI News: Inside Datadog's AI Strategy with with Chief Scientist, Ameet Talwalkar
• ARN: Datadog adds local availability through AWS Sydney Region