Acquisitions and mergers both involve two or more businesses coming together. They both usually involve a change in ownership or control.

When choosing a vCISO provider, consider their reputation. Find providers with a history of success, supported by good client reviews, examples of their work, and industry recognition.

Learn six essential cloud security strategies, including Shift-Left Security, Zero Trust, and AppSec-as-a-Service, to protect applications in 2025.

A traditional, full-time CISO provides close, internal support. However, a vCISO can offer a more affordable, adaptable, and scalable option, which might be a better fit for smaller or expanding businesses.

Building a successful in-house application security program can be challenging. Key obstacles include limited resources, a lack of specialized expertise, and organizational cultural differences.

A comprehensive penetration test allows your organization to find weaknesses, improve security measures, and quickly meet compliance requirements.

Our Application Security as a Service allows businesses to prioritize the long-term security of their applications while streamlining their development process.

Discover how ioSENTRIX secures APIs in AI and LLM deployments. Learn to prevent model extraction, data leakage, and API abuse.

In contrast to traditional one-time penetration tests, PTaaS offers ongoing assessments, real-time updates, and quicker discovery of new vulnerabilities. This approach helps you identify and address security gaps more quickly, ultimately lowering your risk of a breach.

Transitioning to Penetration Testing-as-a-Service (PTaaS) can increase your risk remediation efforts by 50% or more. This approach is a great option for any organization seeking to streamline their security testing processes.

A vCISO identifies important assets, evaluates risks, establishes security measures, and ensures compliance with regulations. Thus, a vCISO helps protect your organization and supports its growth.

Learn how ioSENTRIX adapts threat modeling frameworks for AI and ML pipelines to address unique risks in data ingestion, model training, and deployment.