Cybersecurity at the speed of AI: Agentic AI Supercharging SOC Teams

Security operations centers (SOCs) are being besieged by a new wave of automated weapons. These attacks move faster than ever and are harder to detect, detect and prevent.

It’s the enemy’s accomplishment a break of only two minutes and seven secondsit’s not a question of if the SOC will be attacked, it’s when. And 77% businesses have already been victimized by AI tools.

For a SOC to protect itself and the enterprise infrastructure, speed is essential.

Enter the agent AI

Agentik AI enables SOCs to make automated decisions, adapt to threats, and manage workflows, including drills and incident response. It is proven to be effective in improving safety and security by identifying risks and reducing the effort required to comply.

Leading cybersecurity providers offering AI solutions for SOCs include Arcanna.ai, Cato Networks, Cisco Security Cloud, CrowdStrike (Falcon platform and Charlotte AI), Dropzone AI, Google Cloud Security AI Workbench, Microsoft Security Copilot, Nagomi Security, Palo Alto Networks and Zscaler.

“The speed of today’s terrorist attacks requires security teams to quickly analyze large amounts of data to identify, investigate and respond quickly. Attackers are setting records, times less than two minutes, leaving no room for delay,” George Kurtz, President, CEO and cofounder of CrowdStrikehe told VentureBeat during a recent interview.

Configure SOC and agent AI teams to complement each other

For any AI or SOC AI implementation to be successful, crowdsourcing is essential. A recent Gartner report, “Prediction 2025: There will be no more Autonomous SOC,” promotes VentureBeat’s view of how SOCs are moving toward adopting AI technology and AI software and platforms. “Security leaders and chief operating officers need to know where human-led SOC operations are going and how to shift SOC professionals to roles that require human decision-making,” advises Gartner.

The report predicts that by 2026, AI will increase the power of SOC by 40% compared to 2024, from the evolution of SOC technology to the development, maintenance and protection of AI.

To successfully integrate effective AI, SOCs need a clear framework that balances technology and human expertise. Gartner’s broader model of SOC below shows how roles, capabilities and goals are aligned to enable better performance and flexibility.

SOC challenges are a great way to use agent AI

SOCs need effective AI that adapts to the speed and awareness of attackers when they find an opportunity to prevent an intrusion or breach.

Most SOCs are understaffed. Many also find it difficult to understand information from security systems and historical and event management (SIEM) systems that do not have visualization methods or use graph databases to map threats.

The need to continue to think in line, think as much in graphs as attackers do when planning a breach, is one of several things. driving strong competition for graph database tools across the industry.

Struggling with information tracking, false positives and continuous improvement work, SOC teams face these challenges every day:

Legacy systems leave SOCs exposed to AI threats. SOCs remain burdened with legacy SIEM systems, legacy detection and response (EDR), firewalls, and intrusion detection systems (IDS/IPS) that are ill-equipped to deal with the speed and complexity of AI-driven threats. Shlomo Kramer, CEO Cato Networks imagestold VentureBeat during a recent interview“The biggest threat to organizations is their security issues. Point products create gaps in their security, which leaves them a target for attackers.” Kramer added, “Over the next five years, I see cyber threats moving into three phases: tactical, and combat. of AI; work, through complexities; and in the form of global conflicts. Organizations that rely on distributed resources will struggle to protect these increasing threats.”

Chronic fatigue leads to ineffective intervention and increased employee turnover. SOC analysts struggle to manage thousands of alerts, false alarms and inconsistent reports from multiple SIEM and SOAR systems in their environment. CISOs say they see 10,000 events a day that come into their operating systems. They question whether it is a good use of their experts’ time to find three or four threats when AI has already proven that it can detect unpleasant situations.

Organizations are facing a shortage of staff for key SOC roles. It is impossible for most businesses to augment their SOC teams with internal talent alone. While outsourcing is always a good option, SOC teams need to invest in their team’s ongoing training and career development to maintain business expertise and strengthen online expertise.

A growing number of security threats threaten to disrupt SOC teams. Kurtz reviewed the scale of the problem in a recent interview, “One of the biggest challenges in security is the data crisis, and it’s one of the reasons I started CrowdStrike. That’s why I created the architecture we have, and it’s very difficult for SOC teams to analyze the amount of information and data.” volume to find threats.”

Where an AI agent is involved

The most important benefit from effective AI will come from supplementing SOC analysts and teams with regular tasks while giving them additional intelligence tools to learn from.

VentureBeat sees agent AI impacting the following areas:

Gaining benefits at the level of routine, repetitive tasks. Agetic AI pilots and production systems are providing better performance in automating routine tasks at scale. Vasu Jakkal, vice president at Microsoft, shared with VentureBeat in a recent interview The results of a study his company completed on Security Copilot’s productivity. “The study showed that first-time professionals who used Security Copilot were 26% faster and 35% more accurate. Professionals who used the tool were 22% faster and 7% more accurate, 90% indicated that they want to use it again,” said Sakkal.

Threat detection, analysis and intelligence in real-time, and fault finding on large data sets. Agetic AI software and the platforms that support it are useful in identifying threats and problems that people may miss. And human-in-the-loop design enables AI models to continuously learn and improve their risk detection skills.

Supporting SOCs to accelerate incident response. Critical to the design of any AI software, system and platform is the ability to identify and isolate critical tasks to respond to incidents in real-time to quickly address threats. VentureBeat recently spoke with Torque CTO Eldad Livni about his company’s many support systems, which he described as “transforming SOC operations by breaking operational challenges into specific, connected tasks managed by dedicated agents. This approach ensures that each alert is tested, analyzed and resolved accurately, reducing human error and enable SOC teams to perform better.”

Continuous Learning. Agentik AI empowers cognitive engineering in SOCs, where machines analyze threat intelligence datasets at scale. LLMs are trained to help security teams distinguish real threats from fake ones, providing real-time, real-time information that saves SOC professionals valuable time. VentureBeat has learned that this capability is driving success in threat response.

The success of Agetic’s AI relies heavily on human cooperation

“It is not about removing people; and increase the people,” Elia ZaitsevCTO of CrowdStrike, told VentureBeat in initial interview. “It’s a person supported by AI, which I think is the most important point … very far from wanting to change people. I think this is wrong, especially in the Internet.”