CISOs, CIOs, CFOs, and compliance professionals remain challenged to increase their readiness while reducing the overall operational management costs and manual processes. 

As more compliance regulators update their mandates and standards, organizations must adjust rapidly to comply with these constant changes. The cost of adjusting compliance postures requires increases in spending on security operations (SecOps), continuous monitoring, managed services engagement, and the constant challenge of recruiting and keeping talent.  

AI automation for compliance is a closely watched innovation. This capability can lower operational costs for compliance operations management and help organizations meet regulatory requirements. 

Tiebreaker AI's introduction of their platform, IntelVerse, opens the door to opportunity for CISOs and CIOs to leverage the power of AI automation to meet their compliance and security challenges while reducing their overall compliance operations cost.  

InterVerse processes data from documents and URL sources into a centralized format accepted by many regulatory and compliance agencies 

InterVerse provides a unified portal to help with collaboration with all the various internal and external stakeholders.  

IntelVerse helps reduce compliance management operations by automating policy and regulation reviews, creating a sole source of truth instead of several dashboards, and provides better workflow for ongoing upkeep of the organization's compliance status.  

Are you interested in knowing more? Schedule a demonstration today with the Tiebreaker team!  

Creating sustainable compliance readiness workflows 

Sustainability for compliance requires organizations to rethink their current workflows around operations management. Previously, C-Levels viewed compliance mandates as a quarterly or annual exercise just to stay compliant within the various business sectors. 

These C-level executives leverage existing cybersecurity and IT resources with little or no formal background compliance to complete various tasks, including log management, real-time monitoring, incident response, auditing, reporting, and remediation. These resources also engage with external assessment firms and various auditors to help keep the organization compliant and free from potential compliance issues.  

For an extended period, this traditional way of thinking resembled more of a "check the box" mindset and less about viewing compliance as a strategy advantage or an asset for the organization. The idea of continuous compliance to lower potential compliance risks became an afterthought compared with other IT and cybersecurity initiatives.  

As more compliance mandates become required for businesses to function within a specific regulated market, the need for compliance processes to become full time, well-funded, and part of the daily workflow within the organization became critical.  

The sustainability of this new mindset required a new way of thinking. Hiring experienced and often expensive compliance resources, along with investing in unproven tools, ended up costing the organization far more in financial capital than expected. Most organizations that failed to meet the compliance mandates or chose not to adequately fund the initiative considered exiting strategy marketplaces.  

Investing in AI automation for compliance management changes the way an organization can develop a cost-effective and sustainable readiness workflow with fewer human capital resources and costs.  

Strength and weakness of AI-automation for compliance 

The promise of AI automation has already become a proven solution strategy for customer success teams, software development, and SecOps. These unique businesses leveraging AI took time to happen. AI is not a plug, play, and forget technology.  

The Large Learning Models (LLM) leveraging natural language processing (NLP) required to process the needed data for AI is a multi-year event costs millions of dollars. Developing a mature AI model takes the provider's financial and resource commitment, along with sustaining access to relevant data.  

If developed with relevant data within the LLM, AI automation can deliver exceptional capabilities to the organization. The ability of AI to learn continuously based on processed and trusted telemetry data helps organizations recognize the benefits of AI. AI shows improvements across many functions, including reducing human interaction for the simplistic and repetitive routine tasks. This productive improvement allows organizations to reallocate valuable human capital to focus on proactive risk management or investing their time in researching other suspicious activities. 

The ability to extend more automation to improve productivity, access actionable insights, and continuous relocation resources are compelling reasons to invest in this capability. Organizations investing in AI also need to understand that this capability is not perfect, even while executing repetitive tasks. AI and machine learning techniques contain several technical and operational challenges that can lead to potential compliance breaches and poorly informed decisions. 

One potential problem with AI embedded in compliance automation tools is the risk of using inaccurate data in the learning and decision-making process, especially if there is a need for more reliable long-term data sources to provide helpful information.  

“The European Union (AI) AI laws mandate that all AI-based providers need to disclose the source of their data within their AI and ML engines.” 

Various EU regulatory bodies oversee AI, and its potential risks compel these agencies to mandate disclosure of AI tools before becoming introduced into the EU. This risk includes providers failing to comply with ethical standards, EU citizen privacy rights, and increased fraudulent activities.  

AI-automation simplified for continuous improvement  

Organizations look to AI automation to help provide a foundation capability towards a more continuous improvement (CI) culture. Improving CI requires more than technology and access to AI-driven insights and robotic process automation (RPA). Organizations realize that the process of improvement, workflow optimization, less administrative burden, and reducing repetitive tasks by their internal teams are the enablers of AI automation. Routine compliance tasks more accessible become part of the AI automation workflow. Ongoing compliance policy review, validation of the current compliance status, and activating robust security measures also become part of the AI automation workflow.  

These automated functions can operate with little to no human interaction. Ongoing compliance efforts, meeting regulatory obligations with fewer resources and operational expenditures, and reducing fines from regulatory violations all become a successful by-product of AI automation. 

Selecting the right AI-automation decisions for compliance

AI automation providers, including CrowdStrike, Splunk/Cisco, and Exabeam, continue to develop their LLMs for future AI and ML functions, specifically for observability and cybersecurity automated incident response. 

However, the field of AI automation specifically for compliance review is relativity new capability compared to automated incident response. AI-driven compliance management is a critical part of an organization's overall compliance-related activities. Complex regulations, compliance standards, and compliance costs will continue to rise. As compliance mandates change their legal requirements and regulatory frameworks, organizations need compliance tools with AI to help process regulation documents with their own security and compliance documents against the various mandates.  

The idea of manual compliance processes, manual, repetitive, rule-based tasks, and completing an audit process in time to meet the various compliance deadlines is no longer an option.  

Compliance automation solutions powered by AI enable compliance teams to meet their compliance objectives in less time and money while helping the organization show compliance and prepare for the next regular audits. 

Why Tiebreaker AI? 

Tiebreaker AI's IntelVerse platform compliance automation delivers exceptional capabilities, assisting compliance officers by automating their document review and alignment to the various compliance frameworks while protecting the client's data with a secure SaaS platform empowered by encryption and strict access control.  

Are you moving ahead with compliance automation? Tiebreaker AI should be your first call! Schedule your demo of this unique platform!