Container and dependency scanning to ensure the coverage of all dependency types and covering as much of the possible risk area.
Broadening the security coverage and identifying whether there is a risk connected with dependencies inside your open source libraries.
Preventing new vulnerabilities from being introduced into the development process at any stage.
Prioritize vulnerabilities on the basis of severity and impact to remediate vulnerabilities in business-critical applications first.
Detects insecure dependencies in your code at the earliest to save time and effort in the future.
Scans your repositories directly on daily basis to monitor for the new vulnerabilities and maintaining your code healthy.
Prevent new vulnerabilities by automating the security checks during the build, test, and deploy phases.
Continuously test your running environment to verify that there is no existing vulnerabilities and regularly monitor for new vulnerabilities.
Dependency Scanning can also be considered as a part of Software Composition Analysis. SCA allows development teams to track and analyze each open-source component that is included into a project. All associated components, their supporting libraries, and their direct and indirect dependencies may be discovered using SCA tools.
Common Automated SCA Approaches are:
Examines open source components automatically.
Alerts sent and displayed for new vulnerabilities.
Continuous analysis.
Finds both publicly known and unknown security vulnerabilities in the source code.
SAST can be performed in various pipeline stages.
Can be integrated with other application security testing metrics.
Leverage security from build to runtime and accelerate innovation at scale with confidence.
Embrace prevention, detection, and response automation across the entire application lifecycle to secure the supply chain, cloud infrastructure and running workloads.
Integrate the threat awareness culture with comprehensive visibility to reduce risks and meet compliance requirements.
Continuous monitoring for detecting vulnerabilities, embedded secrets, and other security issues during the development cycle and minimize the attack surface.
AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability
AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly
Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics
Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment
AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready
Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter