Twistlock announced a new integration between Datadog and Twistlock - ensuring seamless integration of cloud native security intelligence into the Datadog platform. This integration helps customers better centralize information from across the DevOps lifecycle and at every layer of the cloud native stack.
"Cloud native architectures have changed the game for application and infrastructure security teams by increasing the velocity of deployments and reducing time to delivery. To address this, we increasingly see our enterprise customers relying on Twistlock for security scanning and governance of their containerized workloads," said Ilan Rabinovitch, VP Product and Community at Datadog. "Our new integrations will allow our mutual customers to correlate changes in containerized environments with security events."
The Datadog Twistlock integration is fully developed and supported by the Datadog team, and bundled with the Datadog agent. For teams running cloud native applications at scale, the integration provides a seamless way to view the risk posture of their applications alongside other key health and performance metrics.
Customers can surface the following information from their Twistlock subscription within the Datadog platform - providing at a glance visibility into the risk posture of their cloud native applications.
- Vulnerabilities in containers and hosts - whether running or in registry.
- CVE details and risk scores powered by Twistlock's intelligence stream.
- Compliance status of containers, hosts and registries.
"By integrating Twistlock's incident forensics and risk overview into Datadog, our customers increase their ability to understand the overall health of their cloud native environments and respond in real-time to threats and risks. This gives them both a security and an operational advantage - making them safer and more efficient than before," said John Leon, VP Business Development and Alliances at Twistlock.
The integration is available now for all Datadog customers with a Twistlock license. All information shared via the integration can be used in custom reports and alerts, or combined with metrics from other data sources surfaced within Datadog.
The Latest
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
