SenseOn has unveiled the integration of new AI-powered case summaries into its adaptive cybersecurity intelligence platform.
This latest AI-native feature is designed to help security teams instantly understand critical threats and accelerate response times by transforming complex security incidents into clear, actionable intelligence.
Case summaries
The new capability uses generative AI, which has been trained by and acts as an extension of the organisation’s SOC team, to develop a summary highlighting any risks and important details of a security case. This could include suspicious activities, devices, connections, or processes.
The case summaries generated by the solution combine disparate network, endpoint, cloud, and identity data into meaningful and actionable insights. This builds upon SenseOn's AI-native foundation, which uses machine learning to analyse and synthesise threats from multiple sources, surfacing only high-confidence security incidents.
Streamlined approach
Tasks that once required analysts for up to 30 minutes are completed instantly, with AI synthesising
Tasks that once required analysts for up to 30 minutes are completed instantly, with AI synthesising large volumes of security data.
This streamlined approach enables analysts to understand an attack incident and possible security consequences in minutes, rather than hours, which significantly reduces response times.
Gen AI benefits
The new generative AI capability offers SenseOn customers several distinct benefits:
- AI-Generated Case Summaries: SenseOn quickly analyses and synthesises information from multiple sources to provide instant insights and a clear, concise summary of each security case.
- Reduced alert fatigue: SenseOn analyses the attack path to enrich summaries with relevant evidence to reduce alert fatigue and encourage quick response and remediation in minutes.
- Instant Insights:: One-click context retrieval makes finding further supporting evidence quick and easy to obtain, saving time for busy, lean teams.
- Continuous Learning: The AI engine continuously improves the accuracy of detection and investigation action recommendations over time, empowering teams to make informed responses.
- Analyst Training and Development: The solution explains complex concepts such as command line activities, potential malicious indicators, and network communication patterns.
- Accessibility: Summaries are seamlessly presented within a Knowledge Graph visual, allowing stretched analyst teams to quickly grasp the situation and see connections in a few clicks.
Reducing MTTI and MTTR
Amid an ongoing skills shortage, the capability also allows cybersecurity teams to operate more efficiently
By leveraging AI in this way, SenseOn empowers users, regardless of skill level, to rapidly understand complex cases without extensive manual investigation and quickly make informed decisions, reducing Mean Time to Investigate (MTTI) and Mean Time to Respond (MTTR). SenseOn’s MTTR rate is just 16 minutes.
Amid an ongoing skills shortage, the capability also allows cybersecurity teams to operate more efficiently, with less experienced team members able to contribute more effectively.
Cybersecurity
David Atkinson, CEO, of SenseOn, said, “The launch of AI-generated case summaries reinforces our pioneering position in driving cybersecurity transformation."
"By developing our solution in close collaboration with our SOC team, we’ve ensured it addresses the real-world challenges our customers face, providing them with the exact capabilities they need to protect their organisations while maintaining direct access to a human SOC."
Data privacy
"As we continue to evolve our AI capabilities, we are committed to transparency at every stage. Customers will always be informed about significant changes in features and data processing. We uphold the highest data privacy standards and will continue to provide granular control over new features.”
AI-generated case summaries are provided at no additional cost to customers. Looking ahead, SenseOn is planning to further enhance the platform in the summer of 2025 with natural language querying capabilities to glean critical IT hygiene insights.
