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To detect and respond to cyber-attacks organizations, businesses, and institutions of all sizes are investing in and implementing a variety of security technologies. These cyber security solutions can include firewalls, intrusion detection systems, and security information and event management (SIEM) solutions. Even with these technologies in place, the average time to identify a security breach is 228 days, while the average time to contain it is 83 days according to a 2022 report by Verizon.
Data analysis increases cyber threat response times
Unfortunately, typical cyber security technologies can produce vast amounts of unnecessary data. Skilled cyber analysts are challenged to find urgent issues hiding within this information (the proverbial needle in a haystack). To support this time-consuming effort, skilled resources are removed from investigating, mitigating, and remediating actual critical threats. According to a 2020 survey by SANS, the top challenge faced by incident response teams is analyzing overwhelming volumes of data.
Compounding this issue, the number of skilled cyber analysts within the industry has declined, making it difficult for companies to find qualified resources. Training new analysts and giving them opportunities to grow their knowledge base takes time. This further underscores the need for more efficient and effective cyber incident response processes.
To help reduce remediation times, adaptive cyber security playbooks generated by AI (Artificial Intelligence) have become a crucial tool for cybersecurity teams. In 2020, organizations using AI and automation had a 74-day shorter breach lifecycle and saved an average of USD 3 million more than those without (Ponemon Institute, 2020).
What is an AI-generated adaptive cyber security playbook?
An AI-generated adaptive cyber security playbook consists of a proven set of repeatable steps to investigate, mitigate, and remediate cyber threats – like a traditional playbook. Unlike traditional playbooks, the effectiveness of recommended solutions found in adaptive playbooks are continually improving. Artificial intelligence can quickly analyze historical and current data, identify patterns, and generate new or updated response procedures for the latest threats and attack vectors.
6 benefits of AI-generated adaptive cyber security playbooks
- Workload is reduced.Cyber analysts shift efforts from analyzing overwhelming volumes of data empowering them to use their skills to remediate critical security alerts.
- The risk of human error is lessened. By automating incident response processes, human mistakes are minimized, and response times are improved.
- Improves overall response effectiveness. A 2022 study by IBM found that organizations who use automated incident response processes can remediate security incidents up to 63% faster than those that rely solely on manual processes.
- Continuously adapt to new threats. Once a threat is indicated, AI can quickly analyze historical and current data, identify patterns, and generate response procedures.
- Improves compliance. Implementing security solutions using AI and automation can improve an organization’s security posture, reducing the breach lifecycle and saving money.
- Reduces false positives and false negatives. There is a misconception that, when using AI, there is an increased risk of false positive and false negatives. With continuous improvement and algorithm learning, the risk is diminished. For example, InsightCyber eliminates 95% of false positive and false negative alerts when passing data through its platform.
AI-generated adaptive cyber security playbooks, like those created by the InsightCyber Platform, are revolutionizing the industry by improving remediation effectiveness and efficiency, reducing the workload on human analysts, and improving organizational security postures to protect revenue.