How Vectra AI’s Agentic AI Is Transforming Threat Detection and Response

The Rising Challenge of Modern Cyber Security

Cyber attackers are moving faster, using more sophisticated techniques, and bypassing traditional security controls with ease. To keep pace, security operations centres (SOCs) need more than signatures and rule-based tools. They need intelligence that evolves as quickly as adversaries.  

This is where Vectra AI’s Agentic AI comes in, redefining how threat detection and response is delivered across the modern hybrid attack surface. 

What is Vectra AI

Vectra AI is an advanced AI-driven network security platform designed to stop attacks that others can’t. Its platform is fuelled by machine learning and deep behavioural analytics, providing real-time visibility into attacker behaviours across network, identity, and cloud environments. 

By connecting these domains, Vectra AI helps SOC teams modernise operations by eliminating noise and surfacing high-fidelity alerts, improve resilience with real-time detection of attacker behaviours, and reduce risk through seamless integrations with existing SIEM, SOAR, and EDR tools. The result is faster, more confident responses and a security operation that is proactive rather than reactive. 

Why Choose Vectra AI?

Vectra AI provides end-to-end visibility with unified coverage across network, identity, SaaS, and cloud control planes. Its AI-driven detection relies on behavioural models trained to spot attacker activity, not just known malware signatures. Rapid response is achieved by automating and accelerating incident response through integrations with SOC tools. The platform has proven its effectiveness at scale, trusted by enterprises, governments, and critical infrastructure worldwide. Most importantly, it empowers SOC teams to detect, investigate, and respond with more context and less noise. 

Vectra AI’s Network Detection and Response (NDR) approach delivers actionable detections by connecting the dots across multiple domains. This provides a correlated narrative of attacker progression, from initial compromise to cloud takeover. 

Traditional tools focus on isolated signals. Vectra AI correlates behaviours across network, identity, and cloud, ensuring there are no blind spots across hybrid environments. Investigations are accelerated with context-rich detections, and threats are identified earlier, even when attackers evade legacy defences. 

Transforming SOCs with Agentic AI

Traditional tools only detect isolated signals, often leaving blind spots across cloud and identity systems. Vectra AI’s NDR approach connects the dots across multiple domains, creating a correlated attacker narrative from initial compromise to lateral movement and potential cloud takeover. 

This integrated view allows SOC teams to: 

• Detect attacker progression earlier. 

• Contain threats before they escalate. 

• Stay ahead of adversaries who bypass legacy defences. 

Real World Examples

Every attacker leaves a trace in network traffic, NDR allows your SOC team to detect the trace before it becomes a problem.  

Scattered Spider: Stopping Credential Abuse

Scattered Spider is a group that is known for using SMS phishing and SIM swapping to steal credentials. Once they use the stolen credentials to log in to the system, traditional security measures struggle to pick up on the use of the credentials as they are legitimate, and the activity will look normal. However, with NDR in place these activities would have stood out as risky sign-ins, mailbox manipulation, and identity privilege anomalies are detected in real-time.  

Mango Sandstorm: Blocking Lateral Movement

Mango Sandstorm is another malicious group that exploited internet-facing servers to gain initial access. After gaining access they moved laterally via RDP and RPC, before transitioning into Azure AD to target the Azure environment directly. This attack was missed because the existing tools could not correlate activity across the environments. If an NDR had been in place this activity would have triggered an alert, and SOC teams would have been able to contain the threat earlier.  

If you want to hear more real world applications, check out this article by Vectra AI.