Automating application and security risk assessments for ServiceNow & Splunk customers
A quick look in the rear-view mirror
Last week, our CEO, Sravish Sridhar, announced that TrustCloud secured $15 million in new funding from ServiceNow Ventures, Cisco Investments, and others. In his words, the raise “validates the urgent need to modernize GRC for enterprise CISOs and unify CISOs and chief risk officers around a shared view of risk.” The new capital accelerates our mission to automate governance, risk, and compliance for every security team – no matter which system of record they live in.
Because we’ve built a Hybrid Data Fabric that is a data lake of security and GRC data from cloud and on-premises sources,, TrustCloud aggregates and contextualizes telemetry data from both Splunk and ServiceNow. Specifically — security event data and Logs from Splunk, and CMDB data and process information from ITSM in ServiceNow. TrustCloud leverages this data to enable:
- Continuous Control Monitoring that puts control testing and evidence collection on autopilot
- Accurate, defensible application and infrastructure risk assessments that use objective data, not surveys
- Unified insight into the protection of critical data across your internal applications and infrastructure, as well as your third-party sources
The result: one engine, two ecosystems, zero siloes.
Two high-impact use cases you can activate today
1. Continuous Control Monitoring inside your ServiceNow environment
TrustCloud can pull information about your crown jewel applications and assets from CMDB, validate that the right protective controls are operating effectively, and feed into workflows in ITSM to streamline remediation. Every change auto-maps to the proper control and policy.
Why it matters
Before TrustCloud
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Quarterly surveys -
Manual screenshots -
Disparate risk, asset, and audit sheets
After TrustCloud
-
Continuous, provable risk assessments -
API-pulled evidence attached to each control -
Single dashboard showing residual risk in real time
Real-world win
A Fortune 500 firm turned quarterly risk assessments into continuous control assurance of their digital crown jewel applications in under 6 months, reducing their residual application security risk by over 70%.
Want to dig deeper?
Find more details on this solution here
2. Automated cyber risk assessments and quantification using data in Splunk Enterprise Security
Splunk Enterprise Security is a gold mine of logs, alerts, and asset context. TrustCloud converts that stream into programmatically quantifiable residual-risk scores aligned to many risk frameworks such as NIST and ISO. TrustCloud pulls high-fidelity alerts, context, and asset details from Splunk ES. Assurance AI filters noise, adds business context, scores residual risk in dollars, and pushes the number straight into your ERM dashboard.
Why it matters
Before TrustCloud
-
Thousands of noisy alerts -
“Red-Amber-Green” reports that no one trusts -
Log exports and spreadsheets at audit time
After TrustCloud
-
Prioritized gaps and findings, thanks to AI triage -
Risk tied to business impact that every exec understands -
Auto-generated evidence mapped to SOC 2, ISO 27001, CMMC and other standards
Real-world win
A global retailer turned Splunk alerts into automated control tests and fed residual-risk scores straight to its ERM dashboard, giving executives a single view of cyber exposure in dollars instead of red, amber, and green.
Want to dig deeper?
Find more details on this solution here
Why now?
Boards are asking for defensible numbers. Regulators are demanding continuous assurance, not point-in-time audits. And security teams are drowning in tool sprawl. Using an AI engine on top of your ServiceNow and Splunk environments enables you to accurately automate numerous security and GR workflows, and quantitatively prove that your controls are operating effectively.
Charting the next chapter with AI for GRC Transformation
The playbook for risk management is being rewritten in code, APIs, and real-time telemetry. When every control is validated continuously and quantified in business terms, security leaders stop chasing compliance and start shaping strategy. The future belongs to teams that can:
Automate at the data layer, not the spreadsheet layer.
AI and API-based workflows collapse months of manual effort into minutes.
Prove accuracy on demand.
Continuous Control Monitoring provides the assurance that auditors, boards, and customers now expect.
Bridge first- and third-party siloes.
Streaming data from ServiceNow, Splunk, and your cloud stack into one fabric unlocks a single, defensible view of risk.assessments, replacing security questionnaires (The security questionnaire is dead!)
This isn’t a distant vision; it’s live today for ServiceNow and Splunk customers who plug into TrustCloud. If you’re ready to move from point-in-time checklists to code-speed confidence, let’s talk.
Ready to put it to work?
Whether you sit in ServiceNow, Splunk, or both, our specialists can show you how to end manual evidence collection and translate every alert into a clear financial risk metric.
Let’s talk about activating these features in your environment.
The post Automating application and security risk assessments for ServiceNow & Splunk customers first appeared on TrustCloud.
*** This is a Security Bloggers Network syndicated blog from TrustCloud authored by Tejas Ranade. Read the original post at: https://www.trustcloud.ai/ai/automating-application-and-security-risk-assessments-for-servicenow-splunk-customers/
