The Challenge of Maintaining SOAR Rules
In the ever-evolving landscape of cybersecurity, the need for efficient and effective security orchestration, automation, and response (SOAR) solutions has never been greater. SOAR platforms promise to streamline security event triaging and response, but they come with their own set of challenges, primarily in the maintenance of rules and workflows. This blog explores the difficulties in maintaining SOAR rules and introduces a new generation of automated threat mitigation solutions like Cybermonic, which leverages graph knowledge and artificial intelligence to revolutionize security event triaging and response.
The Complexity of SOAR Rules
SOAR platforms are designed to automate the processes of detecting, triaging, and responding to security incidents. They rely on predefined rules and workflows to accomplish these tasks. While they offer many advantages, they also present some significant challenges:
Rapidly Evolving Threat Landscape:
Cyber threats are constantly evolving, and new attack vectors and tactics emerge regularly. Maintaining up-to-date rules to counter these threats is a relentless task. Security teams often struggle to keep pace with the ever-changing threat landscape, leading to gaps in security.
Rule Overload:
As organizations grow and their IT environments become more complex, the number of rules and workflows in a SOAR system can become overwhelming. Managing, updating, and troubleshooting a large number of rules can be time-consuming and error-prone.
According to the (ISC)2, an average (understaffed) security team is currently dealing with an average of 10,000 alerts per day, and it takes 280 days on average to process a breach.
False Positives and Negatives:
SOAR systems can generate false positives (incorrectly identifying benign actions as threats) or false negatives (failing to detect actual threats). Fine-tuning rules to reduce false alarms while ensuring genuine threats are not missed requires constant monitoring and adjustment. False positives can reach as high as 80 percent of all alerts received by the Security Operations Center. Resource-constrained security analysts who may lack time, understanding, a well-trained eye, or motivation, often triage only less than 10% of incoming alerts.
Cybermonic Enables a New Era in Threat Mitigation
To address the challenges of maintaining SOAR rules and workflows, a new generation of automated threat mitigation solutions is emerging, with Cybermonic leading the way. Cybermonic combines knowledge graph and artificial intelligence to revolutionize security event triaging and response.
Knowledge Graph:
Cybermonic leverages the power of graph databases to model the complex relationships between entities in an organization’s IT environment. This approach enables it to identify anomalies and threats by analyzing not just individual events but also their context within the network. This contextual awareness is a game-changer in threat detection.
Artificial Intelligence (AI):
By employing advanced AI algorithms, Cybermonic can adapt and learn from evolving threats. It continuously refines its threat detection capabilities, reducing false positives and negatives. This adaptability ensures that security teams can stay ahead of the threat landscape.
Automated Response:
Cybermonic doesn’t just stop at detection; it also offers automated response capabilities. When a threat is identified, it can take pre-approved actions to mitigate the risk, reducing the burden on security teams and minimizing response times.
To summarize, maintaining SOAR rules is undoubtedly a challenging task, given the dynamic nature of cybersecurity threats. However, with innovative solutions like Cybermonic, organizations can usher in a new era of security event triaging and response. By leveraging knowledge graph and artificial intelligence, Cybermonic empowers security teams to not only keep pace with evolving threats but also stay one step ahead. In the ever-escalating battle against cyber adversaries, embracing these new technologies is not just a choice; it’s a necessity for modern cybersecurity.
About Cybermonic
Cybermonic was founded by researchers with PhDs in graph systems, graph analytics, graph AI/ML, and a track record of DARPA funded research on cybersecurity challenge problems. They have perfected their graph systems and graph algorithms in order to supercharge cybersecurity analysts.