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Startup 7AI Uses AI Agents to Address Alert Fatigue
cybersecurity

Startup 7AI Uses AI Agents to Address Alert Fatigue

7AI uses autonomous AI agents to reduce alert fatigue, saving security teams time and improving threat response.

July 30, 2025
5 min read
Jeffrey Burt

7AI uses autonomous AI agents to reduce alert fatigue, saving security teams time and improving threat response.

Startup 7AI Uses AI Agents to Address Alert Fatigue

Cybersecurity startup 7AI aims to tackle the overwhelming surge in security alerts that burden security teams and MSSPs. The company employs “swarming AI agents” to autonomously manage repetitive tasks such as triaging, investigating alerts, and enriching signals, thereby freeing security professionals to focus on higher-level priorities. Founded last year in Boston and launched in February with $36 million in seed funding, 7AI will showcase its 7AI Agentic Security Platform at Black Hat 2025 in Las Vegas. The platform features several innovations:
  • Dynamic reasoning: AI agents investigate new alerts and determine the best real-time approach.
  • Enterprise insights: Utilizes an organization’s “tribal knowledge” (policies, approved software, user roles) to reduce false positives.
  • Autonomous remediation: Enables AI agents to take authorized actions like isolating compromised hosts or blocking malicious traffic.
  • Incident management: Provides a unified view of related alerts as incidents for improved threat visibility.
  • Using AI to Defeat AI

    7AI’s approach leverages specialized AI agents—including reasoning, mission, and tools agents—to handle non-human tasks, allowing human analysts to concentrate on complex issues. This strategy also counters the AI tools used by threat actors in sophisticated cyberattacks. Nate Burke, 7AI’s Chief Marketing Officer, told MSSP Alert, “Security teams are buckling under the weight of alert volumes today. After decades of trying to solve this with more people and better automation, we're still losing ground. Technology changes too fast, traditional automation requires constant care and feeding, and solutions that need to be rewritten every time attacks evolve simply aren't sustainable.” He emphasized that false positives heavily tax already overburdened teams, as analysts must investigate alerts that are often benign but lack the right context to be dismissed quickly.

    Saving Time and Money

    7AI’s agentic AI platform has demonstrated significant efficiency gains. Some users report saving between 30 minutes and 2.5 hours per investigation. By April, the platform had processed over 178,000 customer alerts, saving security teams more than 68,000 hours of work—equivalent to 334 full-time analyst years and over $3.4 million in productivity. Security firm Cybereason highlighted alert fatigue as a growing problem, noting that 16% of SOC professionals handle only 50% to 59% of alerts weekly. SOCs often receive 500 investigation-worthy alerts per week, with investigations consuming 65% of their time. The volume of notifications can overwhelm teams, causing critical warnings to be missed.

    Running Autonomously at Machine Speed

    7AI’s AI agents operate at machine speed and scale without capacity limits, addressing the high alert volumes effectively. Through enterprise insights, the agents understand organizational context, such as which users can use VPNs or which file-sharing services are allowed, dramatically reducing false positives while ensuring no threat is overlooked. Burke clarified that 7AI’s agents differ from general-purpose AI chatbots or MCP servers, which have security concerns. “Unlike experimental AI tools, 7AI agents are purpose-built for security with security in mind from day one,” he said. The platform deploys many single-purpose AI agents, each with a defined mission, reasoning framework, and constrained toolset, minimizing risks of unintended behavior. When MCP servers are used to provide AI agents access to external data, 7AI enforces enterprise-grade security controls and strict authorization policies. Agents can only perform actions explicitly approved by security teams.

    A New Service for MSSPs

    Managed Security Service Providers (MSSPs) and Managed Service Providers (MSPs) can use 7AI’s platform internally or offer it as a service to customers. The company is collaborating with several MSSPs and MSPs and plans to announce key partnerships soon. “These partners can leverage 7AI's autonomous agents to deliver faster, more accurate, and more cost-effective services than traditional approaches,” Burke said. MSSPs and MSPs can deploy 7AI as an efficiency multiplier or as a new revenue stream with enhanced service offerings. The platform integrates seamlessly with existing tools and workflows.

    Frequently Asked Questions (FAQ)

    What is alert fatigue in cybersecurity?

    Alert fatigue refers to the phenomenon where security professionals become desensitized to or overwhelmed by the sheer volume of security alerts, leading to potentially critical threats being missed or ignored.

    How do AI agents help combat alert fatigue?

    AI agents, like those used by 7AI, can autonomously triage, investigate, and enrich security alerts. This automation handles repetitive tasks, allowing human analysts to focus on more complex threats and strategic priorities, thereby reducing the burden of constant alert monitoring.

    What are "swarming AI agents"?

    "Swarming AI agents" is a term used by 7AI to describe their approach where multiple specialized AI agents collaborate to address security alerts. This collective intelligence allows for dynamic reasoning and efficient handling of security tasks.

    What is dynamic reasoning in the context of 7AI's platform?

    Dynamic reasoning means that the AI agents can analyze new alerts in real-time and determine the most effective approach for investigation and response, adapting to evolving threats and situations.

    How does 7AI use "enterprise insights" to reduce false positives?

    7AI's platform integrates an organization's specific policies, approved software, and user roles (referred to as "tribal knowledge"). This context allows the AI agents to better distinguish between genuine threats and benign activities, significantly reducing the number of false positive alerts.

    Can 7AI's agents perform autonomous remediation?

    Yes, 7AI's platform enables autonomous remediation, meaning the AI agents can take authorized actions like isolating compromised systems or blocking malicious network traffic based on pre-approved security policies.

    How can MSSPs benefit from 7AI's platform?

    MSSPs can use 7AI's platform either internally to improve their own operational efficiency and service delivery, or offer it as a new service to their clients, enhancing their security offerings and creating new revenue streams.

    Crypto Market AI's Take

    The challenge of alert fatigue in cybersecurity, as addressed by 7AI, highlights a broader trend of leveraging AI for complex, high-volume tasks. This mirrors advancements in financial markets where AI agents are increasingly used for sophisticated market analysis, automated trading strategies, and risk management. Our platform, Crypto Market AI, provides similar AI-driven insights and tools, enabling users to navigate the complexities of the digital asset landscape with enhanced efficiency and intelligence. Understanding how AI can autonomously manage and interpret vast amounts of data, as 7AI does for security alerts, is crucial for optimizing operations in any data-intensive field, including finance. Explore our AI tools for trading and analysis to see how AI can transform your financial operations.

    More to Read:

  • AI Agents: Capabilities, Risks, and Growing Role
  • AI Driven Crypto Trading Tools Reshape Market Strategies in 2025
  • The Rise of AI in Cybersecurity: Protecting Against Evolving Threats

Source: Originally published at MSSP Alert on July 30, 2025.