Audio Recap
A new era in third-party cyber risk and exposure management is underway, one that operates in real time, informed by intelligence and scaled by automation. This shift wasn’t feasible even a few years ago. The scale, speed, and complexity of today’s threat landscape—spanning thousands of vendors, assets, and attack vectors—demand more than human capacity can manage.
Artificial Intelligence is the catalyst making this new model possible. By automating vendor assessments, continuously triaging exposure data, correlating risk with threat intelligence, recommending remediations, and even generating and routing workflows, AI empowers security and risk teams to operate faster and more strategically.
But while AI is powerful, it is not the answer. It is the key that unlocks the answer.
Most are racing to bolt it onto old systems—hoping automation alone will solve the scale and complexity of third-party cyber risk. But here’s the truth: AI is only as good as the data behind it. Without visibility into the full asset landscape, without understanding vendor context, and without intelligence on how threats are actually exploited, AI can’t tell the difference between noise and real risk.
Building a smarter AI foundation for TPRM
Bitsight’s AI strategy is grounded in three principles: quality inputs, contextual understanding, and ecosystem-driven action.
- Without trustworthy, real-time data about third-party assets and vulnerabilities, AI is left to reason with outdated or incomplete inputs.
- Without business context—what a vendor relationship entails, which assets matter most, how internal controls perform—AI can’t effectively distinguish between what is urgent and what is irrelevant.
- Without threat intelligence informing decision-making—what’s being exploited, by whom, and against which targets—AI can’t separate hypothetical risk from imminent threat.
This thinking drives our approach. We’re embedding AI across our integrated cyber risk intelligence platform—from summarizing threat intelligence to parsing SOC 2 reports, mapping vendor documents to compliance frameworks, and powering dynamic vulnerability scoring. Bitsight AI is doing more than augmenting existing workflows. It’s reimagining them.
Introducing Framework Intelligence and agentic workflows
Launched in August 2025, Framework Intelligence takes security documentation like SOC 2 reports and maps it automatically to industry frameworks using AI. Users can see which controls are met, why, and where in the document the evidence lives. Bitsight risk vectors are also mapped into this view, meaning risk intelligence is embedded on day one. This is just the beginning. Future iterations will incorporate additional context, specificity, and actionability, ultimately creating a unified control-based risk assessment experience across third parties and internal systems alike.
Other AI capabilities you can use today
At Bitsight, AI is embedded into the core of how we collect, contextualize, and deliver intelligence across first and third parties. Today that includes:
- Instant Insights is a feature for the Vendor Risk Management and Trust Management Hub applications that uses generative AI to extract a SOC 2 Type II report’s contents, analyze them, and then summarize the contents into deep and actionable insights. As a result, tasks that could take analysts hours can now be done in seconds.
- Dynamic Vulnerability Exploit Scoring (DVE) applies threat intelligence and AI to prioritize CVEs based on likelihood of exploitation in the next 90 days, allowing security teams to zero in on their greatest risks and act fast where it matters most. Today, the DVE score is included in Continuous Monitoring & Response, as well as the Bitsight Threat Intelligence portal.
- Bitsight Pulse, powered by AI, delivers personalized, real-time cyber threat news and deep, contextual summaries—turning raw intel into clear, actionable insights for any user.
- AI-Generated Remediation Support in Bitsight findings provides tailored, technical guidance on how to fix exposures faster, with context-aware recommendations.
