Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Datadog

Datadog Code Security achieves 100 percent accuracy in OWASP Benchmark by using an IAST approach

As application architectures shift to the cloud and the velocity of software delivery accelerates, organizations are seeking more powerful capabilities to identify security vulnerabilities within their production applications. Traditional static application security testing (SAST) tools, by themselves, are insufficient.

Detect vulnerabilities in minutes with Agentless Scanning for Cloud Security Management

Security teams require complete visibility into their hosts, containers, and functions in order to detect, prioritize, and remediate their most pressing security risks. The Datadog Agent helps you achieve this visibility by collecting deep insights in your environment through logs, distributed traces, infrastructure metrics, and other key telemetry.

Prioritize vulnerability remediation with Datadog SCA

Software Composition Analysis (SCA) is the practice of identifying the open source libraries your code depends on. By using SCA, you can analyze these dependencies and determine whether they are affected by any known vulnerabilities, contain malicious code, introduce licensing risk, or are poorly maintained. SCA helps teams understand their software’s dependencies and the security implications of using them so that they can safely build on and innovate with open source code.

Redact sensitive data from your logs on-prem by using Observability Pipelines

As your business evolves to serve more users, your applications and infrastructure will generate an increasing volume of logs, which may contain sensitive data such as credit card numbers, IP addresses, and tokens. When you collect sensitive data, you may be subject to laws such as GDPR—which restricts the transfer of personal data across borders, and you may face legal consequences if this data is exposed outside your infrastructure.

State of DevSecOps

Shipping secure code rapidly and at scale is a challenge across the software industry, as evidenced by continued news of high-profile data breaches and critical vulnerabilities. To address this challenge, organizations are increasingly adopting DevSecOps, a practice in which application developers work closely alongside operations and security teams throughout the development life cycle.

Security at the Speed of Cloud

Cloud native technologies have empowered engineering teams to innovate rapidly: from releasing a few times a year to several times a day. This means security assessment have to be done continuously. To achieve this, developer, operation, and security teams have to collaborate in novel ways. Instead of communicating through backlogs, they need to work towards shared objectives. From processes to tooling, teams have to rethink the way they approach security, share context, and improve the security posture of their organization.

Report on changes to your security posture with Cloud Security Management

Achieving and maintaining compliance in the cloud proves challenging for many organizations, as it is a complex, ongoing effort that includes safeguarding sensitive data and ensuring infrastructure resources are correctly configured. Success often hinges on the ability to monitor compliance-related trends over time, enabling organizations to spot risk patterns, gauge their current compliance posture, and adapt as new risks emerge. However, gathering this data can be difficult.

Secure your Windows workloads with Datadog Cloud Security Management

As Windows organizations migrate toward cloud-based environments, they often lose context of their full stack. In addition to securing their on-premises servers, they now need to deal with virtual servers, managed services, and platform-as-a-service offerings. Cloud-based resources require organizations to relinquish control over physical infrastructure and limit their access to underlying operating systems.