At 7AI we're building the first agentic security platform, and since we're creating something new, it's always useful to explain what we mean. In this post we'll define "agentic security".

What is Agentic AI?

Agentic AI refers to systems that are capable of making decisions and taking actions without the need for continuous human oversight. These systems are designed to operate autonomously, learning from their environment and adapting their behavior based on new information. Unlike conventional AI models that require human input to process tasks, agentic AI can analyze vast amounts of data and execute decisions on its own.

The key characteristics of agentic AI include:

• Autonomy: The system can function without human input, executing tasks in real time.
• Adaptability: Agentic AI can adjust its behavior based on new data, adapting to threats or changes in the environment.
• Learning: These systems can learn from past actions and improve over time, leading to smarter, more efficient decisions.

How Agentic AI Relates to Cybersecurity

In the cybersecurity space, agentic AI doesn’t replace existing detection systems like email security, EDR (Endpoint Detection and Response), or vulnerability scanning tools. Instead, it enhances their value by processing alerts from these systems and autonomously taking action based on the insights provided.

For example, when an email security tool flags a potential phishing email, agentic AI steps in to analyze the alert, investigate its context across different systems, and decide on an appropriate response, such as isolating the account or blocking future emails from the source. By doing this, agentic AI removes the burden of manually investigating and
responding to alerts, allowing human analysts to focus on higher-order tasks.

What is Agentic Security?

Agentic security is the application of agentic AI in the cybersecurity domain, using AI to handle alert responses from existing detection systems without the need for human intervention. Instead of simply detecting threats on its own, agentic security systems take input from external sources such as EDR platforms, threat intelligence feeds, and email
security systems, and then carry out investigations, come to conclusions, and implement mitigations or responses.

For instance, after receiving an alert from a vulnerability scanner that highlights an unpatched system, an agentic security platform might autonomously review the potential impact, correlate it with other security intelligence, and then either recommend or carry out remediation steps—such as applying a patch or isolating the vulnerable system. This end-to-end automation allows for a faster, more efficient response to potential threats.

By taking alerts from a variety of systems and acting on them, agentic security optimizes the use of existing security infrastructure

Read the eBook

To learn more about agentic security, download our eBook "The Agentic Security Revolution: How AI Is Transforming
Cybersecurity."