Cut Through the Noise: How CyberSaint’s Prioritized Findings use AI to Help CISOs Focus on What Actually Matters

CISOs (Chief Information Security Officers) and their teams are buried under alerts, dashboards, and compliance data, but what’s often missing is the answer to one deceptively simple question: What matters most right now?

That’s exactly why we built Findings Management, powered by CyberSaint’s AI engine. Businesses often receive thousands of cybersecurity alerts highlighting potential vulnerabilities. However, these alerts fail to indicate which threats pose the greatest financial risk if left unaddressed. The challenge isn’t finding what to fix; it’s knowing what to fix first, based on both your internal posture and real-world threats.

Trained in part by AI models such as IBM Granite - accessed through IBM watsonx.ai, an end-to-end AI developer studio - CyberSaint AI enables security teams to cut through noise and take smart, fast, and aligned action at scale.

Your Cyber Risk Strategy Needs AI, Not Alert Fatigue

AI-Powered Findings Management is designed to solve one of the most pressing problems in cybersecurity today: findings overload. CISOs and security teams aren’t short on data; they’re drowning in it. The real challenge is interpreting and correlating that data across internal controls, risk assessments, asset inventories, and real-time threat intelligence.

Sentia continuously maps relationships between vulnerabilities, threat actors, attack techniques (like MITRE ATT&CK), and a company’s internal posture - controls, gaps, and risk scores within CyberStrong. Drawing from sources like NVD, CVEs, CWE, breach data, and cyber loss intelligence, Sentia correlates what’s happening outside with what you look like inside. The result is a dynamic, prioritized list of findings, ranked by potential business impact in dollars. These insights help security teams focus on the most critical threats, enabling faster responses to emerging risks and resulting in a measurable reduction in cyber exposure.

For example, customers will see findings such as a $56.1M risk tied to RA-5 vulnerability scanning, flagged as most urgent by CyberSaint AI, alongside specific, high-impact controls like CA-7 Continuous Monitoring to immediately reduce exposures to active threats such as access misuse and privilege escalation, all based on real-time intelligence.

By integrating foundation models like Granite and Llama3-405b through watsonx.ai into CyberSaint, alongside CyberSaint’s own models, this model-agnostic AI engine was built to adapt to each customer’s evolving needs. This flexibility helps make sure that the CyberStrong platform is always interacting with the most effective models for the task at hand, delivering explainable, business-aligned intelligence that can scale across complex environments.

AI-Powered Clarity for the Boardroom and Beyond

With Findings Management, CISOs can now show their CEO or board that they’re not only compliant, but that they’re also focused on what matters most--buying down risk in real time based on external threat activity and internal control gaps. For cybersecurity teams, this unlocks the ability to prioritize actions based on ROI, rather than reacting to many alerts with equal urgency. And for enterprise leaders, it marks a shift from compliance checklists to risk-adjusted security strategy.

In a world where the cost of getting risk wrong continues to grow, CyberSaint and IBM are helping organizations get it right, with the tools, trust, intelligence, and confidence to act. The CyberSaint AI engine is a decision-support system built for the modern CISO, designed to bring precision, speed, and clarity to even the most complex cybersecurity programs.