Tag: data driven compliance

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Compliance Successes Using Data-Driven Compliance

I recently had the opportunity to visit with Vince Walden, founder and CEO of KonaAI for a podcast series on the uses of data driven compliance. KonaAI is the sponsor of those podcasts. This blog post series will flesh out the podcast show notes. Over the next five blog posts, we will discuss generative AI and ChatGPT in compliance, the profiles of a corrupt payment, making the business case for data-driven compliance, what to ask for and how to ask for it and some success stories. In this Part 5, we will look at some compliance successes using a data-driven approach.

As always, I am joined by Vince Walden, founder and CEO of KonaAI. There is a quiet revolution happening in the realm of compliance. It’s one that, if harnessed correctly, can turn a typically reactive process into a proactive strategy. I am of course talking about data-driven compliance. By making use of the vast amounts of data your organization collects, you can uncover potential compliance risks before they turn into actual problems. This approach can be a game-changer, not just for your role as a compliance officer, but also for your organization’s overall risk management strategy. No longer will you be caught off guard. Instead, you’ll be leading the charge, armed with real-time insights and actionable data.

Sometimes, we face unintended consequences in a business setting – consequences that occur unexpectedly because of actions taken. They could be beneficial, like improvements to the business or reduced costs. Or, they could point to underlying issues that need addressing. However, these consequences can become visible only when multiple risk triggers are considered. Here’s the interesting bit. Vince underscored the importance of considering multiple risk triggers when analyzing data. Relying on just one test or indicator won’t cut it. It isn’t just one anomaly that signals an issue. The convergence of multiple risk signals helps in identifying the potential problem areas.

Compliance is not simply about rules and regulations. It is about understanding and managing risks, ultimately leading to better business decision-making. When well-executed, it can yield great rewards or “compliance wins”. One example is identifying high-risk areas in your business and managing them proactively. A high-risk business unit in high-risk FCPA environments. By analyzing their fraud risks, the company found that salespeople wound up spending quite a bit on gifts, travel, and entertainment for foreign officials to secure a sale. The solution? Limit setting. Not only did it save them money, but decreased the sales cycle, and the cherry on top – a clientele of higher quality.

Using data analysis techniques to improve business efficiency is of utmost importance in today’s business environment. By leveraging data analysis, you have the power to identify bottlenecks, streamline processes, and optimize your operations. This not only saves time and resources but also enhances overall compliance and risk management efforts. With every step you take towards harnessing the power of data, you are paving the way for increased business efficiency and success in your industry.

Compliance is the critical aspect that ensures organizations adhere to legal and ethical standards. Compliance not only helps companies avoid legal troubles but also plays a significant role in improving business efficiency and profitability. Data driven  of advanced compliance tools for fraud detection and cost savings was discussed. This article aims to provide a comprehensive analysis of the key factors that impact advanced compliance tools for fraud detection and cost savings, exploring the tradeoffs involved, the challenges faced, and the importance of considering the impact on decision-making.

One of the advanced compliance tools discussed in the episode is Unit Price Analysis. This tool utilizes advanced technology to identify discrepancies in vendor invoices, potentially saving companies significant amounts of money. By comparing prices charged for the same product by the same vendor in different locations, contract compliance can be achieved. As Walden explained, even a small difference in unit prices can translate into substantial recoveries when multiplied by tens of thousands or hundreds of thousands of units. This tool highlights the importance of scrutinizing vendor invoices and ensuring fair pricing across different locations.

To effectively detect fraud and ensure compliance, it is crucial to integrate multiple data sources into compliance monitoring programs. As Vince Walden mentions, transparency is key, and integrating various data sources brings that transparency into play. By pulling in third-party payments, due diligence work, sanctions lists, whistleblower hotline data, and other indicators, companies can gain actionable insights and identify improper payments and risk scoring. The ability to put in multiple risk triggers and analyze data from various sources allows for a more comprehensive and accurate assessment of potential risks.

However, implementing advanced compliance tools for fraud detection and cost savings is not without its challenges. It is essential to know when to stop reviewing transactions or high-risk activities. Risk scoring frameworks help prioritize the most critical transactions, but continuous improvement is necessary to update the models and identify any missed risk triggers. Additionally, the complexity of integrating multiple data sources and implementing advanced compliance tools requires careful planning and consideration.

The impact of advanced compliance tools for fraud detection and cost savings goes beyond financial benefits. These tools can change the character of the people who interact with the company. By shifting the responsibility of travel expenses to foreign officials, the company not only achieved significant cost savings but also attracted decision-makers who came to sign contracts. This unexpected outcome demonstrates the power of compliance and fraud risk prevention in improving business efficiency and quality of customers.

In conclusion, advanced compliance tools for fraud detection and cost savings play a crucial role in ensuring legal and ethical standards are met while improving business efficiency and profitability. Unit Price Analysis and Fraud Risk Analysis are just two examples of such tools discussed in the podcast episode. By integrating multiple data sources, implementing risk scoring frameworks, and continuously improving compliance models, companies can achieve transparency, identify risks, and make informed decisions. However, it is important to consider the challenges and tradeoffs involved in implementing these tools. Ultimately, the impact of advanced compliance tools extends beyond financial benefits, positively influencing the overall business environment.

Resources:

Connect with Vince Walden on LinkedIn

Check out Kona AI

Connect with Tom Fox on LinkedIn

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Data Driven Compliance

The Uses of Data Driven Compliance: Part 3 – Making the Business Case for Data Driven Compliance

Welcome to Data Driven Compliance. In this podcast, we discuss how to use data to improve and enhance the effectiveness of your compliance program, creating greater business efficiency, all leading to more return on investment for your compliance regime. Join host Tom Fox as he explores how data will drive your compliance program to the next level. This podcast is sponsored by KonaAI.

I recently had the opportunity to visit with Vince Walden, founder and CEO of KonaAI, for a podcast series on the uses of data driven compliance. Over these five podcasts, we will discuss generative AI and ChatGPT in compliance, the profiles of a corrupt payment, making the business case for data-driven compliance, what to ask for and how to ask for it, and some success stories. Part 3 discusses how to make the business case for data-driven compliance.

Vince Walden, a seasoned professional with over 25 years of experience in compliance and risk management, is the founder and CEO of KonaAI, a software company specializing in automating data management for compliance and fraud risk management. Walden believes that compliance professionals play a crucial role in data-driven risk management. He emphasizes the need for these professionals to make a business case for data-driven compliance to both risk professionals and the CFO or head of operations.

According to Walden, data-driven compliance not only aligns with regulatory expectations and avoids risks, but it also improves the overall functioning of the business by identifying hidden money, reducing costs, eliminating waste and fraud, and preventing improper payments. His perspective is shaped by his extensive experience in the field, including his work as a consultant, fraud investigator, and forensic technologist. Join Tom Fox and Vince Walden as they delve deeper into this topic on this episode of Data Driven Compliance.

Key Highlights:

  • The Importance of Data Driven Compliance
  • Effectively Conveying Compliance Value to CFOs
  • The Impact of Data Driven Compliance
  • Maximizing Compliance ROI through Risk Mitigation

Resources:

Connect with Vince Walden on LinkedIn

Check out Kona AI

Connect with Tom Fox on LinkedIn

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Making the Business Case for Data Driven Compliance

I recently had the opportunity to visit with Vince Walden, founder and CEO of KonaAI, for a podcast series on the uses of data driven compliance. KonaAI is the sponsor of those podcasts. This blog post series will flesh out the podcast show notes. Over the next five blog posts, we will discuss generative AI and ChatGPT in compliance, the profiles of corrupt payments, making the business case for data-driven compliance, what to ask for and how to ask for it, and some success stories. Part 3 will discuss making the business case for data-driven compliance.

Vince Walden, the CEO and founder of KonaAI, is here with me as always. Walden pointed out a dual aspect to this, bringing risk and financial perspectives into play. The risk perspective aligns with meeting expectations from the Department of Justice, SEC, or other regulatory bodies, which include culture alignment and prudent data handling. The financial end deals with a knock-on effect of compliance: a potential improvement in financial performance by curtailing revenue leakage through fraud and improper payments. This is what compliance professionals do every day. In regulated industries, however, it is not simply about convincing others of the necessity. It is also about aligning the company’s tools and methods to meet the expectations of external regulatory bodies. In an ideal world, a company’s compliance goals should align with its business goals. But achieving this balance is easier said than done.

While regulatory compliance is important, businesses are about generating revenue and turning a profit. Balancing compliance with profitability can often seem like a tightrope walk. But businesses need to realize that this balance is possible and beneficial in more ways than one. Compliance and profitability could coexist with the help of a business-savvy compliance tool. Compliance professionals need to distance themselves from a narrow focus on policies and enforcement. A broader perspective, including understanding the importance of data-driven metrics and business context, can position these professionals as valuable contributors to an organization’s bottom line. Yet Walden warned against complacency, saying that professionals who only focus on regulation and leave the business aspect by the wayside can find themselves marginalized.

Increasingly, companies realize the value of having multiple perspectives at the decision-making table. While finance and internal audit have always been pivotal, including compliance in these discussions provides a more rounded view. This broad-based approach can unlock novel insights into operational efficiency, risk mitigation, and more. The dialogue between compliance, finance, and procurement has been improving. Industries like telecommunications, oil and gas, technology, and pharmaceuticals are leading this change, recognizing the value of integrated discussions. Vince stresses the need for transparency in transactions that pose risks to the organization and sees compliance professionals playing a significant role in these discussions.

One of the greatest challenges of being a compliance professional is speaking the language of the CFO and financial stakeholders. Convincing them about the monetary benefits of compliance involves more than just throwing around regulation jargon – it requires the ability to present your case strategically. Compliance professionals understand their audience and tailor their discussions accordingly. He advises professionals to focus on how data-driven compliance can save money, improve efficiencies, and prevent improper payments. This is how to get the CFO and other financial stakeholders on board and win them over with the business case for compliance.

Walden emphasizes the importance of understanding the CFO’s financial language to argue for effectively implementing data-driven compliance. Compliance professionals must demonstrate the return on investment and the success of compliance and fraud risk management programs. Key performance indicators such as dollar recoveries and risks avoided can be used to measure the impact of data-driven compliance. Walden also highlighted the significance of finding hidden money and stopping improper payments before they occur. By utilizing data-driven metrics, compliance professionals can identify the riskiest transactions and prevent fraud, waste, and abuse. This not only aligns with the DOJ’s expectations but also improves the overall functioning of the business.

Also of significance is the role of compliance professionals in finance and procurement. More and more companies are recognizing the need to have compliance professionals at the table when making financial decisions. Compliance professionals must be able to speak the language of CFOs and help them understand the importance of compliance in reducing costs, eliminating waste, and preventing improper payments.

To make a compelling business case, compliance professionals should focus on the financial benefits of data-driven compliance. For example, if a company disburses hundreds of millions or billions of dollars in accounts payable payments to third parties, implementing a risk scoring system can help identify the top ten riskiest transactions at risk for fraud, waste, and abuse. The company can recover millions of dollars by investing a relatively small amount, such as $200,000, resulting in a significant return on investment.

It is also important for compliance professionals to collaborate with finance, procurement, and internal audit teams. The Association of Certified Fraud Examiners (ACFE) and COSO collaborated on writing the COSO Fraud Risk Management Guide, which offers useful advice for running a fraud risk management program. The principles outlined in this guide align with the DOJ’s guidance on effective compliance programs. Compliance professionals should take the initiative to engage with CFOs, heads of accounting, and heads of internal audit to foster collaboration and ensure compliance efforts are aligned with overall business objectives.

Compliance professionals play a vital role in data-driven risk management. By making a compelling business case for data-driven compliance, they can demonstrate the financial benefits, such as preventing fraud, improving cash flow, and uncovering hidden funds. Collaboration with CFOs and other key stakeholders is crucial to ensure compliance efforts are integrated into overall business strategies. Compliance professionals must continue to adapt and evolve their understanding of finance and procurement to effectively communicate the importance of data-driven compliance in mitigating risks and driving business success.

Finally, remember that data-driven compliance can improve financial performance and ROI. By harnessing the power of data to inform compliance activities, professionals in regulated industries can effectively navigate complex regulatory landscapes, minimize risks, and optimize business operations. The steps in making a business case for data-driven compliance lay the foundation for success, enabling professionals to leverage data insights, drive informed decision-making, and, ultimately, drive better business outcomes. Embrace data-driven compliance and unlock the potential for improved financial performance and ROI—within your reach.

 Resources:

Connect with Vince Walden on LinkedIn

Check out KonaAI

Connect with Tom Fox on LinkedIn

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Data Driven Compliance

The Uses of Data Driven Compliance: Part 1 – What’s the Hype?

Welcome to Data Driven Compliance. In this podcast, we discuss how to use data to improve and enhance the effectiveness of your compliance program, creating greater business efficiency, all leading to more return on investment for your compliance regime. Join host Tom Fox as he explores how data will drive your compliance program to the next level. This podcast is sponsored by KonaAI.

I recently had the opportunity to visit with Vince Walden, founder and CEO of KonaAI, for a podcast series on the uses of data driven compliance. Over these five podcasts, we will discuss generative AI and ChatGPT in compliance, the profiles of corrupt payments, making the business case for data-driven compliance, what to ask for and how to ask for it, and some success stories. In Part 1, we ask, ‘What’s all the hype around generative AI and ChatGPT in compliance’?

Vince Walden is a seasoned professional in the field of generative AI and chatbots, with a particular focus on compliance monitoring. He firmly believes that these technologies have the potential to improve the efficiency and effectiveness of compliance monitoring significantly. Drawing from her extensive experience in technology-assisted review and his current role at KonaAI, Walden sees practical applications for generative AI in navigating compliance monitoring functions and interacting with data dashboards, eliminating manual intervention. However, he also acknowledges the potential pitfalls of over-reliance on generative AI, such as the risk of false statements and the need for fact-checking. Despite these challenges, Walden remains optimistic about the future of generative AI and chatbots in transforming the compliance industry and explains why you should.

Key Highlights:

  • The Evolution of Compliance Monitoring with Generative AI
  • Efficient Compliance Monitoring with Generative AI
  • The Importance of Fact-Checking ChatGPT
  • Customizable Compliance Monitoring Tool for Companies

Resources:

Connect with Vince Walden on LinkedIn

Check out KonaAI

Connect with Tom Fox on LinkedIn

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Data Driven Compliance

Data Driven Compliance: Jason Patel on Go-to-Market Security, Compliance, and Data Privacy: Safeguarding Business and Customers

Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, which features an in-depth conversation around the uses of data and data analytics in compliance programs. Data-Driven Compliance is back with another exciting episode. The intersection of law, compliance, and data is becoming increasingly important in the world of cross-border transactions and mergers and acquisitions.

In this podcast episode, Tom Fox and Jason Patel delve into the critical aspects of go-to-market security, market intelligence security, and customer privacy enforcement in today’s digital world. They discuss the importance of protecting businesses and customers’ experiences, leveraging data for security and marketing strategies, and ensuring compliance with privacy legislation like GDPR and CCPA. They highlight the services offered by Cheq, a company specializing in go-to-market security, and stress the need for real-time compliance and a transparent approach involving various stakeholders. The conversation also explores the risks of relying solely on vendors for compliance and the impact of opt-in and opt-out strategies on data privacy. Looking ahead, they predict data privacy to be a leading issue, emphasizing the need for clear and explicit internet regulations to protect businesses and consumers.

Key Highlights:

  • Check: Go-to-Market Security and Customer Privacy Enforcement
  • Designing GDPR-compliant controls
  • Real-time compliance in data tracking
  • The Impact of Opt-In vs. Opt-Out Strategies
  • The Future of Internet Regulations

 Resources:

Cheq

 Tom Fox 

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Julie Myers Wood on Navigating the AI Compliance Landscape: Mitigating Risks

I recently had the opportunity to visit with Julie Myers Wood, CEO at Guidepost Solutions. With her extensive background in law and government positions, Julie brings a wealth of knowledge and insights to our discussion on the challenges and considerations of incorporating AI into compliance programs. We took a deep dive into the intersection of compliance and artificial intelligence (AI).

With generative AI is coming at us with light speed, there are so many things a compliance professional to think about. Julie began with the first key thing is to take a high level perspective to step back and reflect on all the ways that AI can affect your company. You should ask several questions, including some of the following. What AI tools is the company using internally? What tools is the company using internally to help its operations or its capacity know about those tools? What is your company selling? Is your company selling tools that incorporate deep learning, generative AI or other sorts of machine learning?

Equally importantly what is the compliance part that each of your team is performing? What compliance tools are being used? Do you have individuals who are freelancing at your company trying to reduce their work using GPT or something else without telling you and maybe exposing some of the code? And finally, how are criminals using generative AI to get into your work? It all entails that , from a high-level perspective, what are various ways that AI can affect you.

Next it is important to think about is do you know what all these tools are that the company is using? You need to obtain an inventory of tools your employees are using. Compliance professionals need to have a comprehensive inventory of the tools being used within the company and fully comprehend their capabilities and limitations. This may not be easy, particularly if your organization is using a mix of homegrown tools as well as tools that are available for sale on the open market. Your compliance team must understand what are the tools that each part of the company is using because only then can you fully understand the privacy or other regulatory risks that may be involved.

In this inventory, you also need to understand who owns the software tools. When do they expire, how many seats to you have for your organization? Who owns the license keys and does the software legacy out?  This understanding is crucial for effectively managing compliance and mitigating potential risks. It is also a very good business practice.

Generative AI is rapidly advancing, and compliance professionals must stay informed and proactive in addressing its implications. Julie highlights the need to be aware of the risks related to generative AI, export compliance, and other potential problems. By staying updated on the latest developments, compliance professionals can adapt to the changing landscape and make informed decisions.

There are potential dangers of integrating AI into businesses and offers solutions to mitigate them. One key solution involves retraining or supplementing the training of employees. Companies need to educate their workforce on the rules of the road and provide a safe environment for exploring and experimenting with generative AI. Julie pointed to PwC’s billion-dollar investment in AI, including retraining and proprietary platforms, showcases the importance of investing in employee development. However, smaller companies may face challenges in investing in generative AI and effectively implementing it.

AI is revolutionizing compliance by enabling effective analysis and interpretation of large amounts of data. Compliance professionals are excited about the potential of AI for predictive analytics and identifying trends and patterns. However, choosing the right tools for compliance is crucial, as market winners and losers can impact success. A key for success for the compliance team is the need for collaboration between operations and compliance teams when considering the use of AI.

Clear policies defining what can and cannot be done with AI are essential to protect intellectual property and ensure compliance. But it is not simply policies and procedures, it is targeted and effective training, coupled with ongoing communications. All of this should be aimed at educating employees about the risks and consequences of using AI improperly is crucial. Compliance professionals should encourage caution when downloading AI tools from the web and carefully review terms and conditions to avoid unintended consequences.

As compliance professionals, we play a vital role in ensuring the safety and security of our businesses. The integration of AI into compliance programs presents both challenges and opportunities. By understanding the tools, risks, and solutions associated with AI, we can adapt to the changing landscape and make informed decisions.

For the full podcast with Julie Myers Wood, check out Compliance and AI here.

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Data Driven Compliance

Data Driven Compliance: Heidi Hunter on Leveraging AI and Data-Driven Solutions for Risk Management in The Financial Industry

Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, which is a podcast featuring an in-depth conversation around the uses of data and data analytics in compliance programs. Data Driven Compliance is back with another exciting episode The intersection of law, compliance, and data is becoming increasingly important in the world of cross-border transactions and mergers and acquisitions.

In this podcast episode, Tom Fox and Heidi Hunter, Chief Product Officer – GBG Americas, explore the intersection of compliance, risk analysis, fraud detection, and cybersecurity. They discuss the importance of identity verification solutions in meeting regulatory requirements and mitigating fraud during customer onboarding. The conversation also delves into the challenges and opportunities of AI in compliance, emphasizing the need for transparency and documentation. AI’s role in risk analysis and fraud detection is examined, highlighting the need for human reasoning and oversight to overcome AI’s limitations. The importance of understanding and mitigating cybersecurity risks is emphasized, with a discussion on red-team and blue-team exercises. Overall, the episode provides insights into maintaining compliance, mitigating risks, and addressing threats in the financial industry.

·      Identity verification solutions

·      Challenges and Opportunities of AI in Compliance

·      The Role of AI in Risk Analysis

·      AI and Fraud Detection

·      The Importance of Understanding and Mitigating Cybersecurity Risks

Resources:

Heidi Hunter on LinkedIn

GBG

 

Tom Fox 

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Implementing AI Technology for Data Driven Compliance

In the age of information, data is the lifeblood of any organization and now every compliance function. The integrity, accessibility, and security of this data are crucial for the effective functioning of businesses, making its compliance a top priority. As digital landscapes continue to evolve, maintaining compliance becomes increasingly complex. Enter AI technology. With the ability to streamline processes and make sense of unstructured data, AI technology is fast becoming the go-to solution for data compliance in organizations. This blog post will delve into how you can implement AI technology for data compliance within your organization, enhancing your compliance monitoring and proactively detecting potential risks.

Here are the key steps:

  • Understand Your Data Landscape: Get familiar with the types of data your organization handles – structured, semi-structured, and unstructured. Identify the sources of these data, like emails, documents, or messages.
  • Identify the Risks: Be aware of the potential risks associated with each type of data. These could include the disclosure of sensitive information, potential misconduct, or hidden threats, especially within unstructured data.
  • Implement AI Technology: Choose a technology partner that can assist in implementing AI capabilities for data compliance. The AI tools can help with data cleansing, reducing false positives and supporting the detection and even the prevention of compliance violations.
  • Establish Prevention Measures: Create a culture where prevention is given priority over detection.

 1. Understand Your Data Landscape

Stepping into the complexities of your data landscape is a pivotal component of maintaining an ironclad compliance program. As the pivotal backbone of any organization, data comes in all shapes and sizes –structured, semi-structured, and unstructured and from various sources such as emails, Word documents and text messages. This varying landscape can often be a figurative minefield, teeming with potential hazards. This makes it crucial to sift through this landscape, charting out the contours of your information trove, identifying relevant data and understanding how it interacts with your needs and obligations.

This first step sets the foundation for implementing a more efficient and effective compliance monitoring system within your organization.  Integrating AI technology, as emphasized, is a game-changing strategy for tackling the challenges presented by the data landscape. There is even a greater amount of data that compliance professionals must grapple with due to remote work and newer communication platforms. With AI-powered data cleansing, this unstructured data can be whittled down to pertinent, human-generated content, thus increasing efficiency and reducing instances of false positives.

By customizing models and policies to align with your organization’s risks, and by utilizing AI to review irrelevant content and target potential misconduct, organizations not only detect but also prevent instances of non-compliance.  The importance of understanding your data organization’s landscape extends beyond the detect prong of a best practices compliance program; it helps to predict where potential hazards might arise and informs the preventative measures you need to take. Implementing an AI-powered solution that is tailored to your unique organizational landscape means improved efficiency, minimizing the risk of non-compliance, and the potential for a more predictive and preventative approach to compliance management.

  1. Identify the Risks

Understanding unstructured data is not merely necessary for everyday operations but forms the backbone of compliance monitoring system. Recognizing that sifting through vast volumes of data can be onerous, the advent of AI-powered data cleansing capabilities will significantly streamline this process. It does this by eliminating duplicative content, junk, and non-human generated content from communications. This helps to focus on content that is risky and relevant for compliance teams, thereby minimizing the number of false positives.

Indeed this is the very foundation upon which a corporate compliance function can build out its strategy for risk mitigation. Once these risks are identified, compliance teams can take action to address them promptly, thereby creating a healthy culture of compliance within the organization. This kind of proactive approach serves as a deterrent to potential threats that could affect your company’s culture of doing business ethically and in compliance. Moreover, it sets clear expectations about the kinds of behaviors that are tolerated within the organization and those which are not through effective monitoring. All of this means that as a compliance professional you must work to address the challenges of unstructured data and identifying risks as an integral part of compliance monitoring going forward.

  1. Implementing the Tech

Navigating the massive waves of unstructured data within any organization can be a challenging task. With the advent of remote working conditions and a persistent reliance on diverse communication platforms, this data influx has exponentially grown, making the effective data management vital for a functioning compliance monitoring system. The collected data can involve communication records, report alerts, investigations, and training data.

As a recovering lawyer I can attest that the assimilation and interpretation of such fragmented information can be taxing on the compliance officers, primarily if they a traditional legal training. Not only is access to every corporate data silo mandated by the Department of Justice in the Evaluation of Corporate Compliance Programs, but the extraction of relevant insights from such a vast data pool can indeed be an uphill task.

  1. Establish Prevention Measures

When faced with unanticipated challenges like investigations, litigations, privacy compliance, and stringent government requests, compliance professionals must be equipped with a robust data analytics system. Your data solution or tool should provide an AI-powered data cleansing capability that eradicates duplicative content, junk, and non-human generated data. The key is for your solution to swiftly categorizes risky information which is then processed and referred to the compliance wing. But even more significantly,  a swift detection of misconduct and remediation process, will help to demonstrate a robust corporate culture can be promoted where accountability is the cornerstone.

Unarguably, the essence of navigating unstructured data demands exclusive attention. What might come across as a mere pile of unwarranted information might be a minefield of hidden risks and prominent disclosure threats that have the potential to jeopardize the whole organization. Our exclusive focus on the prevention of such risks is the precursor of a strong foundation where necessary expectations and behavioral norms are set. While some may argue about the necessity of such elaborate processes, their significance can only be understood by the way they shape our ability to identify hidden threats. These alone could potentially be the building blocks for a more secure, responsible, and ethically functioning organization.

As compliance officers, the journey towards mastering the realm of unstructured data and successfully implementing AI technology for data compliance can be a game-changer. This task, though complex, is pivotal in ensuring the integrity of your organization in today’s competitive and highly regulated business environment. The steps shared in this blog post are a roadmap to success, guiding you through understanding your data, identifying potential risks, and harnessing the power of AI. These measures will undoubtedly empower you to establish a culture of prevention in your organization. So, take a leap of faith, embrace AI technology, and watch how it revolutionizes your compliance monitoring and risk detection efforts.

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Data Driven Compliance

Data Driven Compliance: Igor Volovich – Compliance Therapy

Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, is a podcast featuring an in-depth conversation around the uses of data and data analytics in compliance programs.

Tom welcomes Igor Volovich, the Compliance Therapy doctor from Qmulos, to discuss how to bridge gaps between compliance, security, and risk management. Volovich emphasizes the need for education and evangelism to unlock the value that compliance could offer businesses. He introduces their compliance therapy branding and highlights the importance of evidence-based compliance management through automation to improve trustworthiness. As we move towards real-time risk governance, automation is key for continuous attestation. Compliance processes have been highly manual and outdated, but regulatory bodies recognize the importance of automation in managing risks.

In the podcast, Tom dives into the need for convergence in compliance and discussing risk in real-time and translating technical terms into risk frameworks. If you’re interested in the convergence of compliance, security, and risk, check out Qmulos’ published guide and resources on their website and social media profiles. Don’t miss out on the chance to learn from the experts and continue the conversation with Igor Volovich and Tom Fox. Listen today! 

Key Highlights

·      Introduction of Compliance Therapy Expert

·      Objective Compliance Management: From Opinion to Evidence

·      Importance of trust and governance in data

·      Revolutionizing Compliance Processes with Automation

·      Effective Risk Management for Businesses 

KEY QUOTES

“Most of the folks have these really weird misconceptions about what compliance is We need to reframe the mindset to rejoin the conjoined twins of compliance and security and risk and get them back together.”

“How do we evolve from this opinion-based compliance management, to objective evidence based compliance management. That’s the question that we asked. It’s more robust. It’s more trustworthy. it’s more real. Right? We’re moving from fiction to fact.”

“Within the sphere of influence that we actually do have, how much control can you exert? How much control can you demonstrate reliably, incredibly? To me, that’s the metric. How much can you prove about what you know? Is it belief or is it true? That’s the thing that we try to focus on.”

“The ultimate answer is, of course, automation, you can’t throw more people at the problem.”

Resources:

Igor Volovich on LinkedIn 

Qmulos

 Tom Fox 

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Data Driven Compliance

Data Drive Compliance: Dale Waterman – The Role of Data Sovereignty in Data Driven Compliance

Are you struggling to keep up with the ever-changing compliance programs in your business? Look no further than the award-winning Data Driven Compliance podcast, hosted by Tom Fox, which is a podcast featuring an in-depth conversation around the uses of data and data analytics in compliance programs.

In this episode, host Tom Fox brings in industry expert Dale Waterman as a guest to discuss data sovereignty and its implications for businesses. Waterman, Managing Director at Secretariat, shares his experience in the Middle East and Africa region and how US companies looking to invest in the region need to be aware of local laws and their complexities. Listeners will learn about data protection principles, such as data minimization and de-identification, and the importance of considering third-party risks in data protection. Dale also provides tips for improving data security and predicts a growing trend of cybersecurity and data governance convergence. Tune in to this podcast to learn how to navigate issues related to data sovereignty, cross-border data transfer, and evolving data privacy and protection laws. Subscribe to the Data Driven Compliance podcast today!

Key Highlights:

·      Data sovereignty and cross-border laws

·      The Global Impact of Tech Surveillance

·      Data Sovereignty and Regulations in the EU vs. the Middle East

·      Future Challenges in Data Governance

 Notable Quotes:

“The sovereignty of data refers to the fact that no matter where the data moves, across borders, you still apply the laws of the country where the organization is based.”

The term is I’ve talked briefly about the fourth industrial revolution, and you’ve got these data driven technologies, and all of them are predicated on an ability to access and process data, and they need that free flow of data across borders.

“Step number 1 is we’ve got this broad global move by governments to kind of aggregate data and keep control of it.”

“All of this, again, is created in this concept of sovereignty where the data’s ours, and you can’t send it out our region unless x, y, and zed happens.”

 Resources

Dale Waterman on LinkedIn

Secretariat

 Tom Fox 

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