It’s no secret that organizations are quickly adopting Artificial Intelligence (AI) to improve their security posture.
Policy priorities
A top priority should be requiring implementation of AI Security Posture Management (AI-SPM) solutions. These tools need to complement current security infrastructures and regulatory frameworks, too. Businesses will be forced to answer complicated questions on the compatibility and functionalities of these solutions. Yet they’re under constant pressure to secure sensitive information and comply with regulations found worldwide.
When companies begin their search for AI-SPM solutions, there are a few key factors to keep in mind. Far more important than the extensibility of these solutions is their integration capabilities with any existing data security tools, identity governance platforms and DevSecOps toolchains. Firms must confirm that the alternatives deliver end-to-end visibility across all deployed fashions and resource dependencies. The following is a recap of the most important questions organizations should be asking themselves when selecting an AI-SPM solution. In doing so, they can bolster their security posture and maintain regulatory compliance.
Integrating with Existing Security Infrastructure
First and foremost, an AI-SPM solution must integrate effectively with existing data security tools such as Data Security Posture Management (DSPM) and Data Loss Prevention (DLP) systems. Smart organizations use these powerful tools to stay on top of known vulnerabilities and avoid catastrophic data breaches. The power of an AI-SPM solution is amplified exponentially when it integrates smoothly with these systems. This collaboration—it’s deeper than just a title—really helps bolster our entire security posture.
Additionally, connectivity to identity governance systems would be important. These platforms are responsible for providing user identity, and what users have access to, the backbone of any secure operating environment. An AI-SPM solution connects seamlessly with identity governance tools. This integration improves the ability to monitor known and unknown user behaviors and access patterns, allowing organizations to identify and minimize unauthorized access.
Considering the accelerated development cadence of today’s environments, integration with DevOps toolchains is a must-have. As software development continues to evolve, organizations require security solutions that can align with their agile methodologies and continuous delivery practices. AI-SPM solutions that enable these types of integrations are crucial to automating security assessments in the development lifecycle.
Ensuring Comprehensive Visibility
Another critical feature that enterprises should look for is the ability to quickly discover AI models and automatically create a centralized model inventory. An AI-SPM solution can’t just flag deployed models—it should keep a full and up-to-date inventory for total visibility. This type of visibility makes it possible for organizations to proactively audit their models. They can make them work and still follow security policy.
Furthermore, access to related resources—data, analysis, experience—is just as essential. Orchestration and interoperability Organizations must know how different models relate to each other as well as their underlying data sources. This type of collective transparency is imperative to detecting potential vulnerabilities and mitigating risks ahead of serious incidents becoming public.
Indeed regulatory compliance is the number one worry for companies around the globe. Organizations should ensure that their AI-SPM solutions are compliant with applicable legislation, including General Data Protection Regulation (GDPR), as well as Health Insurance Portability and Accountability Act (HIPAA), and National Institute of Standards and Technology (NIST) standards. Failure to comply can lead to criminal prosecution, treble damages, and significant reputational harm. Businesses need to choose solutions that provide robust monitoring and reporting features so they can maintain compliance.
The Role of SSE-Based Zero Trust Exchange
Advent of SSE-based Zero Trust Exchange has redefined cloud security architectures. This platform is the world’s largest in-line, API driven, cloud-based security solution. It runs on over 150 different data centers around the world. The SSE-based approach is built on a zero-trust model. No user or device is trusted by default in this system, which helps provide more robust security defenses.
AI solutions increase an organization’s ability to protect sensitive data by a significant margin. Third, they promote greater regulatory compliance. With a zero-trust framework, organizations can limit access to resources based on user identity, device health, and other contextual factors. This collaborative operating model is far superior in protecting against threats of unauthorized access and data breaches.