Exploring Cybersecurity Complexities Using Decision-Making Tools in Governance
In the dizzying world of enterprise cybersecurity, navigating through the labyrinthine landscape of cloud assets can often feel like cruising an endless, shifting metropolis at night. With countless data points, numerous cloud environments, and siloed teams, visibility can be a precious commodity, leaving gaps ripe for threats to lurk.
Enter Karen Kim, CEO of Human Managed, and her innovative cloud-native data and AI service platform, Human Managed. Designed for cyber, digital, and risk decisions, this platform allows businesses to harness the power of AI and automation to reduce the cost of data breaches and streamline their operations.
When tackling the complexities of multicloud environments, darkness often creeps in. Cloud assets can stretch far and wide, creating blind spots that leave businesses vulnerable to a myriad of unseen threats. Add to this the fact that most companies operate in multicloud environments, each with its unique architecture, rules, and configurations, and it becomes clear that a unified approach is crucial.
Moreover, siloed operations can wreak havoc on communication between critical teams, such as security, IT, and DevOps, leading to inefficiencies and increased vulnerability.
As IBM's Cost of a Data Breach Report 2024 reveals, 40% of data breaches affected data residing in multiple environments. Worst yet, the report indicates that breaches involving public cloud environments had the steepest average cost – a whopping $5.17 million.
Fortunately, decision intelligence platforms (DIP) can serve as a GPS, guiding businesses towards better outcomes by offering a real-time, unified view of all their data and insights. DIPs translate these insights into explicit decisions and actions, paving the way to a desired business outcome. Think of it as a sophisticated navigation system that learns from past experiences and adapts for future improvements.
As Gartner researchers predict, the market for decision intelligence tools and techniques is steadily growing, with 50% of organizations expected to evaluate ABI and DSML platforms as a single platform by 2026.
In the realm of cybersecurity, DIPs offer several advantages:
- Contextualized and Unified Visibility: By mapping out assets across cloud platforms, tracking changes as they occur, and maintaining up-to-date business context to inform decisions, DIPs eliminate blind spots and provide a comprehensive view of the data landscape.
- Real-time Threat Detection: DIPs continuously monitor cloud environments, providing early warnings and allowing teams to reroute or take preventative action before damage occurs.
- Predictive Analytics: DIPs anticipate potential vulnerabilities by analyzing historical patterns and emerging trends, enabling proactive security management.
- Explicit and Transparent Decisions: Through the combination of data analytics and AI techniques, DIPs generate explicit and auditable decisions, ensuring accountability and transparency.
- Continuous Learning: DIPs evaluate outcomes from decisions and actions, consistently improving decision models based on feedback, fostering a learning culture within the organization.
Although DIPs have undeniable potential, implementing them in multicloud environments brings numerous challenges. From organizational resistance, integration issues, data privacy concerns, to the risk of alert overload, the road to successful implementation is paved with challenges that require strategic decision-making and technical problem-solving.
However, with collaborative efforts between service providers and early adopters, the world of decision intelligence is poised for unprecedented growth. In the future, DIPs will represent the nexus of human-machine interactions, creating a seamless and efficient system where human ingenuity and artificial intelligence work together to support, augment, and automate decision-making processes.
In sum, by implementing decision intelligence platforms in multicloud environments, businesses can reduce the complexity of decision-making, enhance cybersecurity, and harness the power of AI to create a safer, more productive future.
- Karen Kim, along with her team at Human Managed, has been actively addressing the inconsistencies in multicloud environments, aiming to provide a unified approach for businesses like Karen's colleague Kim from ASEAN's Siems.
- Despite the benefits of decision intelligence platforms, there are inherent risks involved, such as cloud-based asean operations encountering threats that could potentially cost millions, as revealed in IBM's 2024 Cost of a Data Breach Report.
- Karen Kim and her team at Human Managed are working closely with service providers and early adopters to mitigate the risks associated with implementing decision intelligence platforms in multicloud environments, ensuring that cloud services, such as those used by Kim at Siems, remain secure and efficient.
