Alert triaging and surveys are the center of security operation. Since the SOC team is trying to keep up with the growing alert volume and complexity, it is an important solution to modernize the SOC automation strategy with AI. This blog allows AI SOC analysts to convert alert management to make more faster surveys and answers while dealing with important SoC issues.
The Security Peleration team is under pressure to manage the merciless flows of security alerts from various tools. All alerts take the risk of serious results if they are ignored, but the majority are incorrectly positive. The flood of this alert defeats the team with a boring and repetitive task cycle that consumes valuable time and resources. result? The extended team is struggling to balance the reactive alert “Whack-A Mole”.
Core issues
A large amount of alerts: The security theater team is almost impossible for analysts to receive hundreds to thousands of alerts a day and maintain them. In many SoCs, this overload causes a delay in response time, making a strict decision on which alerts the team prioritize.
Manual, Repetition Task: Repeated manual tasks must bear the conventional SOC workflow, analysts sifting logs, switching tools, and manually correlating data. These inefficiency not only delay alert surveys and incidents, but also worsen analyst’s burnout and turnover.
Employment and training issues: The global shortage of cyber security human resources makes it difficult for SOC to recruit and maintain skilled experts. The high turnover rate among analysts due to burning syndrome and the strict workload of requests will further worsen the problem.
A limited and aggressive threat hunting: Considering the reactive properties of many SoCs, positive efforts such as threatening often take back seats. Managing alerts and responding to the incident takes a lot of time, so few teams have a bandwidth that actively hunt not detected threats.
Missed detection: Lack of time and talent can completely ignore the decrease alert or turn off the detection, and the tissue is exposed to additional risks.
SOAR unreasonable promise: Security orchestration, automation, and corresponding (Soar) solutions are intended to automate tasks, but often fail because they require a wide range of playbook development and maintenance. Many organizations are struggling to fully implement or maintain these complex tools, which leads to automation and continuous manual work of patchwork.
MDR/MSSP assignment: MDR/MSSP vendors do not have an enterprise context required to accurately investigate custom detection. In addition, we believe that these vendors often work as an expensive black box, provide surveys and answers that lack transparency, and think it is difficult to verify their accuracy and quality.
Why is it time to act now?
The rise of AI -drive attacks
The conventional manual SOC process, which is already struggling to respond to existing threats, is far above the automated AI -driven attack. The enemy has been using AI to put additional pressure on the SOC team to start a sophisticated target attack. To effectively defend, the organization requires an AI solution that can quickly sort signals from noise and respond in real time. Since the phishing email generated in AI is very realistic, users are more likely to be involved with them, and analysts are relocated to the aftermath. In many cases, the incomplete context is expelled and the exposure risk is measured.
Progress of LLMS and agent architecture
The rise of large language models (LLMS), generated AI, and the rise of agent framework has released new levels and autonomy of SOC automation tools. Unlike static rules -based playbooks, these new approaches are dynamically planned, reasons, and learn from analyst feedback, and the survey is improved over time, and the AI -drive SOC Is open.
For AI SOC analysts
Rationalized survey
AI SOC analysts investigate all alerts within a few minutes, analyze the data through endpoints, cloud services, ID systems, and other data sources, filter malfunctions, and filter a true threat. Give priority.
Low risk
Faster surveys and restoring threats minimize the potential damage of violations, reducing costs and reduces reputation. Active hunting further reduces the possibility of hidden compromises.
Explanation
AI SOC analysts provide detailed explanations in each survey and accurately indicate how to reach the conclusion, so that transparency is ensured and the trust of automated decision -making.
Seamless integration
AI SOC analysts are integrated into popular SIEM, EDR, ID, electronic mail, cloud platform, case management, and collaboration tools. This enables quick development of existing processes and minimal confusion.
Improvement of SOC metric
By utilizing AI SOC analysts, the security theater team can overcome important issues and achieve an improvement in measuring important SOC metrics.
Shortening of stay time: Automatic surveys can find a threat before the threat spreads. Reduction of MTTR/MTTI: AI’s rapid triage and analysis will significantly reduce the time required to investigate and respond alerts. Alert coverage enhancement: All alerts are investigated so that threats are not ignored. By automating the alert triage and surveys, the organization can significantly reduce the residence time, the average time (MTTI), and the average time (MTTR).
A team that has been authorized
AI SOC analyst is a powerful Force Multipurer of SOC. Repeated tasks that remove the manual burden focus on high -value work such as threatening hunting and strategic security initiatives, releasing analysts. This not only enhances morale, but also helps to keep the top talent and maintain it.
Scalability
AI SOC analysts operate 24 hours a day, and automatically scaled with alert volume. Regardless of whether the organization sees hundreds or thousands of alerts every day, AI can handle the load without additional staff.
Future of SECOPS: Collaboration between humans and AI
The future of security operation lies in seamless collaboration between human expertise and AI efficiency. This synergistic effect is not an alternative to analysts, but enhances the ability so that the team can operate more strategically. As the complexity and amount of threats increase, this partnership can keep the SoC in agile, aggressive and effective.
Please see the details of the prophetic security
Alert triaging and surveys have long been a time -consuming process that burdens the SOC team and increases risk. Prophet security changes it. By utilizing state -of -the -art AI, large language models, and advanced agent -based architectures, the prophet AI SOC analyst automatically triades all alerts at unparalleled speed and accuracy. I will do it.
The prophet AI eliminates repeated manual tasks that lead to burnout syndrome, focus on serious threats and to improve overall security results.
Access the prophet security, request a demonstration today, and check how to enhance your security operation.
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