As organizations migrate more of their critical infrastructure to the cloud, the amount and complexity of cyberattacks have increased at an unprecedented rate. Security teams are often overwhelmed by the sheer number of alerts they receive, and investigating each potential threat can take days or even weeks using traditional methods. This is where artificial intelligence (AI) comes into play, and Cado Security is at the forefront of leveraging AI to enhance cloud investigation and response.
By incorporating AI-powered features into the platform, Cado helps security teams automate much of the manual work involved in incident response. Cado’s AI features accelerate investigations, helping organizations quickly identify, understand, and address potential threats
The Cado platform
Cado AI Investigator is powered by a local large language model (LLM). This AI-driven tool generates high-level summaries of incidents, providing analysts with a quick and comprehensive understanding of the situation. This capability is invaluable for security teams, especially when responding to multiple alerts simultaneously.
The Cado AI Investigator automatically analyzes potentially malicious files and highlights key indicators of compromise (IoCs). This not only speeds up the investigative process but also enables more junior analysts and non-technical stakeholders to quickly identify the severity and scope of an incident. For instance, within moments of detection, Cado’s AI delivers a concise summary of the incident, empowering teams to prioritize their response efforts.
Unlike many cloud-based AI solutions, Cado’s AI operates entirely within the customer's cloud environment. This ensures that no data leaves the customer’s infrastructure, addressing concerns around data privacy and security—a key consideration for many organizations dealing with sensitive or regulated information. Your data stays with you, controlled within your own environment.
Manually piecing together a timeline of events during an investigation is one of the most time-consuming tasks for security teams. Traditionally, this involves parsing through logs, system artifacts, and forensic data to determine the sequence of events that led to the incident. The process can take weeks, especially in large-scale or complex environments.
The Cado Platform automates the creation of a forensic timeline to correlate data from various sources—whether it’s disk images, memory snapshots, or cloud logs. The platform then reconstructs a complete timeline of events, making it easy for analysts to quickly identify the root cause of the incident.
By automating timeline analysis, Cado drastically reduces the manual work required, allowing analysts to focus on decision-making and response actions. What used to take weeks now takes minutes, helping organizations respond faster and mitigate damage sooner.
The Cado platform doesn’t just stop at data collection—it enriches that data to make investigations even more efficient. After capturing and processing forensic data, Cado’s AI automatically applies threat intelligence and custom YARA rules to highlight suspicious activities. This enables analysts to zero in on the most critical parts of the investigation, without having to manually sift through vast amounts of data.
The platform integrates both proprietary threat intelligence, from Cado’s internal research, and third-party feeds such as VirusTotal. This combination ensures that analysts are working with the most up-to-date information available, significantly improving the accuracy and speed of their investigations.
One of the biggest challenges for SOCs is alert fatigue. Security teams are bombarded with hundreds or even thousands of alerts daily, many of which are false positives or low-priority issues. Sifting through these alerts to find the critical incidents can be overwhelming, leading to burnout and, worse, missed threats.
The Cado Platform helps combat alert fatigue by intelligently analyzing and prioritizing alerts based on their severity and potential impact. Rather than overwhelming teams with a flood of data, Cado highlights the most relevant information and provides actionable insights. This ensures that security teams can focus on the most pressing threats without getting bogged down in low-priority alerts.
Another advantage of the Cado Platforms approach is its scalability. As organizations grow and their cloud environments become more complex, the number of systems, containers, and serverless functions that need to be monitored also increases. Manually investigating every incident in these sprawling environments is impractical, if not impossible.
Cado’s AI scales effortlessly, enabling organizations to handle more investigations without increasing headcount. Whether it’s investigating cross-cloud incidents, triaging compromised endpoints, or analyzing business email compromise (BEC) cases, Cado’s AI ensures that security teams can handle the growing workload efficiently and effectively.
The future of incident response is undeniably intertwined with artificial intelligence. By automating key aspects of the investigation process, Cado Security’s AI-powered platform helps security teams work smarter, not harder. Whether it’s generating instant summaries, automating forensic timelines, or enriching data with threat intelligence, Cado’s AI-driven capabilities are helping organizations stay one step ahead of cyber threats.
In a world where the volume of alerts is increasing, and the skills gap continues to widen, AI-powered forensics offers a way to close the gap and enhance security teams' ability to respond to incidents quickly and accurately. For organizations looking to modernize their incident response capabilities, Cado Security provides the tools needed to thrive in today’s fast-evolving threat landscape. If you want to see what the Cado Platform can do in your environment, Contact Us to schedule a demo.