As Evolving Risks Rise in a Rapidly Digital World, Companies are Utilizing TPRM and AI

How can enterprises find the sweet spot between accelerating digital transformation and managing third-party risk with confidence and not slowing down innovation? 

What role does executive leadership and boards have in enterprise-wide risk strategies with the advent of AI-driven tools transforming the way we think about governance and compliance? 

As Industry 4.0 advances, what role can organizations with their vendors play to develop a shared accountability of a culture of cyber and operational resilience? 

As the pace of digital transformation increases, third-party risk management (TPRM) and AI-driven toolsets are central to enterprise resilience; for this assignment, you will research a particular industry (e.g., healthcare, manufacturing, or finance) and demonstrate, with the use of TPRM powered by AI, how organizations may be able to reduce their risk exposure while still enabling innovation. If possible, utilize real-world case examples, examine the challenges organizations perceive in moving to these systems, and suggest ways to address those challenges. You should reflect upon the balance of digitalization and consider security, while also providing recommendations for enterprise risk management designed to be future-proof.

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As Evolving Risks Rise in a Rapidly Digital World, Companies are Utilizing TPRM and AI

 

Digital transformation has changed the way companies operate, innovate, and implement competitive strategies. Hardly any industry today has not moved to a digital-first strategy – leveraging cloud, automation, connected ecosystems, and artificial intelligence (AI). While there have been gains in efficiency, scalability, and customer experience, the way we look at risk has significantly changed.

Companies today have risk at almost every level – from product development to sales, marketing, supply chain management, and compliance, almost every facet of operations is vulnerable to risk. Risk management for organizations seems to have evolved from purely a defensive posture to an intended capability reliably integrated with business strategy or allowed to become evasive and lose ground to new threats. 

Arguably the most important space of evolution is in Third Party Risk Management (TPRM). The case for effective management of third party risk has always revolved around compliance. But as companies grow more dependent on vendors, contractors, and a global supply chain, compliance is not enough. Companies need to take a more comprehensive approach to third party risk. This should start with establishing a third party risk policy that expands on definitions and roles and creates a foundation for future requirements.

The New Risk Paradigm: Vendor Ecosystems and Shared Data

Modern enterprises don’t work by themselves anymore. Enterprises now leverage an intricate web of vendor ecosystems with systems talking to one another using APIs, connectors, and shared data sets. In fact, modern enterprises see third parties as an essential ingredient of innovation and growth, even in industries with heavy regulation such as finance and healthcare.  

While this interconnectedness presents new and important opportunities, it also presents a tremendous amount of risk. Industry reports are stating that 60% of all data breaches come from an enterprise’s supply chain, which means that third-party risk is a top of mind concern in all sectors. As modern businesses expand their vendor networks and lean more heavily on cloud-type infrastructures, the risk they are at for breaches or attacks increases exponentially. 

For an enterprise, the larger and more complicated it gets, the more difficult it is to manage governance, risk, and compliance (GRC). For innovative leaders, TPRM isn’t a nice to have, it’s an essential feature of growth, innovation, and resilience.

Third-Party Risk Management: Why It Is More Important Now Than Ever

TPRM, at its core, involves evaluating and monitoring the behavior, performance, and risk that each vendor represents. As an example, TPRM extends beyond cybersecurity to include:

Data Privacy and Security Standards– We want our vendors to comply with our corporate privacy standards.  

Corporate and Social Responsibility (CSR) – We want to ensure vendors comply with our sustainability, ethics, and labor standards.

Anti-Bribery and Anti-Corruption (ABAC) – We want to ensure vendors are neither reputational nor legal risk.

Compliance (Industry-specific) – We want vendors to comply with our healthcare, financial, or industry-specific regulatory requirements.

The urgency and need for TPRM was emphasized when the US Office of the Comptroller of the Currency mandated that all regulated banks manage and mitigate risk across the third-party relationships. Since then, organizations have cascaded vendor oversight into nearly every industry , especially with the continuing growth in the sophistication and frequency of ransomware and cyber-attacks.  

Healthcare organizations, for example, are now the target of choice for attackers looking to steal patient health data or breach hospital operating systems. Entities in the manufacturing sector have also faced increasing ransomware attempts where, due to their need for real-time actions, a single minute of downtime can cost millions of dollars in loss of revenue. 

Industry 4.0: Opportunities and Threats for Manufacturing

While industries like finance and retail have moved full speed ahead with digital transformation, the industrial and manufacturing industries have lagged behind from a technology and population perspective.  Today, a typical factory may adopt connected factories, robotics, IoT-based devices, and data-driven automation as standard operating procedure, as opposed to an innovation.

But along with this innovation comes a larger attack surface . One weak spot in a vendor’s network can expose an entire factory network making it vulnerable to ransomware or dire attacks. The IBM Security 2023 X-Force Threat Intelligence Index shows that the manufacturing sector was the most hacked industry in terms of ransomware attacks for a second year in a row in 2022. The study showed that lower tolerance for downtime in manufacturing companies made them especially vulnerable by extortion.

The Boston Consulting Group (BCG), surveyed over 600 managers in the US and Germany on their views of Industry 4.0 adoption. What we learned:

  • 41 % of German manufacturers identified data security needs first. 32% of US Manufacturers identified data security needs first, but often much less than their German Manufacturer peers.
  • Both counties indicated significant investment costs associated with Industry 4.0 adoption, especially in secure adoption.

The research highlights the urgent need for integrated risk management solutions in manufacturing, where only one vendor risk is dependent on operational resilience.

Risk is a Team Sport, not a stand-alone activity: Integration of IT and OT

Traditionally, risk management roles and responsibilities have been considered separate departments:

  • IT Teams focused on cybersecurity, compliance, and data protection. 
  • OT Teams focused on operational resilience, uptime, and physical system security.

Today, these two departments are overlapping. Risk Management has become a team sport requiring collaboration with IT, OT, and executive leadership. More organizationally, organizations have begun to consider risk as a value driver at the board level, rather than as a merely technical issue. Organizations have begun to understand that innovation and growth cannot take place without a high degree of risk governance, enterprise wide.

The Use of AI in Today’s TPRM: An Example of ProcessBolt

To solve these challenges, organizations are looking to AI platforms to streamline and improve third-party risk management. One example is a Techstars-backed startup from Minnetonka, Minnesota, called ProcessBolt.

How is ProcessBolt Different ?

ProcessBolt is an AI-powered vendor risk management platform that reinvents a labor-intensive manual process. The ProcessBolt platform contains three robust components:

  • Deep Natural Language Processing (DNLP) – Automatically analyzes vendor policy documents, audits, and certifications to answer questions about risk assessment with citations.
  • ThreatScape Module – Continuously assesses vendors’ internet-facing attack surfaces to validate vendor assessment responses.
  • Integrated Intelligence – Compares assessment documents with the attack surface data to identify discrepancies and eliminate the risk of unknowingly obtaining inaccurate responses or missing responses entirely.

This model supports the enterprise to not only take the vendor’s word for what they do but validate it with real-world evidence.

Benefits for Organizations and Vendors

  • Time savings – Eliminate manually validating the document review, become productive and work on remediation.
  • Accuracy – Less risk of unknowable vulnerabilities by validating the vendor’s responses.
  • Less vendor fatigue – Vendors do not have to complete any extraordinary exhaustive questionnaires; they have to upload documentation once.

Global scalability of the ProcessBolt platform supports more than 10,000+ users in over 40 countries, covering every regulatory framework. ProcessBolt has a diverse clientele, including well-known organizations such as Boston Scientific, Medtronic, Veritas, Scholastic, and Capri Holdings (which own Versace and Michael Kors), as well as numerous SMBs, hospitals, and law firms.

Where Does AI Come Into Play? TPRM is the Future of Risk Management

The use of AI in TPRM is not a fad. AI in TPRM is the future of risk management. Traditional enterprise risk management/assessment is time consuming and lacks real-time visibility. The AI platforms will allow the enterprise to:

  • Shift from being reactive to anticipating risks before they would become crises.
  • To provide continual compliance to regulatory frameworks that are changing all of the time.
  • To allow for the advent of new technologies such as IoT (Internet of Things) and robotics with confidence, and zero downside risk.

With Industry 4.0, organizations will need platforms that proactively govern compliance, with real-time threat intelligence, to monitor and protect an organization’s digital, but more importantly, physical assets.

Final Thoughts: Risk Should Be A Catalyst For Growth

Step forward into the new world of risk management that will facilitate sustainable growth and competitive advantage, while encouraging invasive AI innovation instead of stalling. It is risky for organizations to be subject to repetitive, manual and time consuming processes that operate in silos, exposing them to rapidly changing threats and severely compromising vulnerabilities.

Active management of third-party risk management (TPRM) solutions to bring visibility, intelligence and reasonably productive resources, is no longer a luxury or optional capability, but rather is required from pandemic fallout of risk exposure. We face cross-impacts on various fronts at this juncture, including grounded threats (e.g., evermore substantial and destructive cyber threats, increasingly stringent regulatory requirements, evolving traditional supply chain risk) and linkages to all of the aforementioned risks (e.g., public risks are now fully private risks). 

Which risk management initiatives were previously nice to have with active TPRM practices are now mission critical; and it is patently clear that risk management is an organization-wide responsibility, and not limited to IT anymore. Don’t be left behind in the digital age; actively engaged organizations deploying AI solutions will thrive and more traditional organizations will not. 

Take the next step toward transforming business and technology as we recognize it; join AIU and lead with purpose, resilience and innovative thinking.

 

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