Why Observability is Critical to Cyber Resilience
Whether an enterprise operates in technology, healthcare, financial services, or another business vertical, cybersecurity must remain top of mind.
In addition to the numerous international cybersecurity regulations, like the NIST Cybersecurity Framework, GDPR, and other mandates, enterprises must also prioritize cybersecurity to mitigate downtime, protect sensitive data, and uphold customer trust and brand reputation.
However, maintaining an effective cybersecurity posture has become more challenging than ever.
IT environments are constantly expanding to support emerging technologies and data is proliferating at an unprecedented rate, placing increased pressure on IT teams. This tension coupled with a 30% increase in global cyberattacks in just a year has created a high-pressure system that makes an attractive target for bad actors, emphasizing the importance of strong cyber defenses.
Data Management and Effective Observability is Crucial
To establish, update, or maintain an effective cybersecurity posture, organizations must first take a step back and consider the importance of data management and observability as a foundational component of security and incident response.
Without a proper understanding of where an organization’s data lies, it can’t be successfully monitored or protected.
However, the continuing explosion of data and the increasing complexity of IT environments requires more monitoring than IT teams can scale to handle. As a result, teams are struggling to visualize the IT estate, sift through logs, and diagnose issues, leading to burnout and stretched resources.
Coupled with the blurring of boundaries with telework, multi-cloud and hybrid environments, and the line of demarcation of IoT and personal devices in the enterprise, there is simply just too much to manage manually.
The constant monitoring of this data volume and velocity simply cannot remain a human task, underscoring the importance of implementing effective monitoring of cloud and on-premises infrastructures to deliver holistic observability, real-time monitoring, and automated remediation.
Creating the Right Foundation
This is where the ScienceLogic AI Platform for IT monitoring comes in.
The biggest challenge to securing data hinges on an enterprise’s ability to visualize that data. With the ScienceLogic AI Platform, enterprises can bridge visibility gaps to see broadly across physical, virtual, software-defined, and cloud-based networks, storage, and compute resources running on-premises and/or in a multi-cloud estate.
With effective monitoring and data management delivered by the ScienceLogic AI Pplatform, enterprises can surpass the limits of traditional AIOps to implement proactive automation and free up even more time.
The recently launched Skylar AI suite of advanced AI capabilities further augments the platform, enabling organizations to intelligently process and respond to today’s business challenges, whether it be a system error, cybersecurity issue, or something else entirely.
For instance, Skylar Automated Root Cause Analysis (RCA) continuously sifts through an environment’s logs and data to proactively and automatically catch problems – known and unknown – and accurately diagnose the root cause, even when IT teams or their monitoring tool don’t know what to look for.
With Skylar Automated RCA, IT staff are unburdened and can instead focus on cybersecurity, compliance, and innovation. And, when vulnerabilities are inevitably uncovered, they’re immediately flagged to the team for incident response, stopping developing security incidents before they happen and preserving data security.
Navigating Incident Response
ScienceLogic strives to support its customers’ cyber resiliency so that they can proactively protect against cyber incidents and recover rapidly in the case of a breach. With the platform’s comprehensive observability and effective monitoring across cloud and on-premises deployments, enterprises can have eyes on their data at all times.
With support from ScienceLogic, IT teams can even automate incident response and mitigation actions.
When Skylar Automated RCA identifies the root cause of an issue, it allows IT teams to either approve or deny the suggested automation for resolution (or create a new one). Additionally, they can set an automated workflow to “automatic,” enabling it to autonomously address similar issues in the future without additional cycles and speeding mean time to repair (MTTR).
Maintaining A Strong Cybersecurity Posture
ScienceLogic’s proactive approach to anomaly detection and remediation not only supports a strong cybersecurity posture and that data remains secure but also supports effective cyber resilience and enables clients to align with federal and international cybersecurity regulations like the SEC and DORA.
With all this in mind, enterprises and third-party partners must not forget the importance of leveraging layers of cybersecurity solutions and policies to cover any potential gaps and ensure their cybersecurity posture is as strong as possible.
Learn more about how the ScienceLogic AI Platform and Skylar AI can help enable enterprises to see broadly across cloud and on-premise environments to eliminate visibility gaps and support rapid incident response.
