LATERAL MOVEMENT DETECTION & CONTAINMENT

Stop lateral movement before it becomes a breach

Detect attacker movement inside your network, expose hidden attack paths, and contain threats before they reach critical systems.

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CHALLENGE

Perimeter security can’t stop what’s already inside

After initial access, attackers use trusted credentials, internal communication paths, and legitimate protocols to move quietly across hybrid and multi-cloud environments, leaving security teams blind to lateral movement techniques.

East-west traffic lacks visibility

Most tools focus on perimeter defense, leaving internal communication and lateral movement activity largely unmonitored.

Legitimate credentials enable spread

Attackers use valid accounts and trusted services to expand access without triggering traditional signature-based alerts.

Command-and- control blends in

Encrypted or stealthy C2 communications often resemble normal internal traffic, delaying detection until damage occurs.

Segmentation gaps go unnoticed

Implicit trust relationships and excessive access create hidden attack paths that security teams struggle to identify.

OUR APPROACH

Detect lateral movement from within

Vectra AI approaches lateral movement detection from the perspective of an attacker already inside the environment, exposing abnormal connections, stealthy C2 channels, and techniques that traditional controls often miss.

Monitor internal communication patterns

Detect unusual east-west traffic, abnormal access between systems, and suspicious behavior across hybrid and multi-cloud environments.

Expose active attack progression

See how attackers move from initial compromise to reconnaissance, credential abuse, command-and-control, and access to critical systems.

Reveal trusted-but-risky paths

Identify where legitimate credentials, protocols, and internal routes are being used in ways that indicate compromise.

See beyond endpoint blind spots

Detect lateral movement and C2 behavior even when endpoint tools miss or cannot inspect internal traffic.

THE VECTRA AI PLATFORM

How we detect and contain lateral movement attacks

Vectra AI brings together three core capabilities to help you see what’s happening, act on it, and strengthen your security over time.

Observability

Vectra AI reveals where identities, systems, and workloads connect across the network, highlighting potential attack paths and segmentation gaps.

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Threat detection, investigation, and response

Vectra AI’s behavioral AI detects reconnaissance, lateral movement, and command-and- control activity as attackers move across environments.

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Threat exposure & posture improvement

Security teams gain visibility into how attackers traverse the network, allowing them to close exposure gaps and reduce blast radius.

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OUTCOMES

Stop lateral movement before impact

Detect attacker movement earlier, contain threats faster, and reduce the blast radius before lateral movement turns into ransomware, data theft, or business disruption.

Spot intrusions earlier

Identify attacker movement inside hybrid and multi-cloud environments before ransomware deployment, data exfiltration, or operational disruption occurs.

Contain threats faster

Prioritize real attacker behavior with clear attack-path context, so analysts can stop threats before they spread.

Accelerate investigations

Replace manual stitching across logs, endpoints,network, and cloud security tools with correlated detections that show how the attack is progressing.

Reduce the blast radius

Expose risky paths, abnormal connections, and segmentation gaps so teams can limit how far attackers move across the modern network and multi-cloud environments.

CUSTOMER RESULTS

2,000+ security teams rely on Vectra AI

Hydro Ottawa gained visibility into east-west traffic and attacker movement, dramatically reducing investigation time and enabling earlier containment.

Kinetsu closed common retail lateral movement paths bycovering unmanaged POS systems and internal access risks.

Anonymous Customer

“The biggest different was finally seeing what was happeninginside the network, not just at the perimeter.”

FAQs

Understanding lateral movement detection and containment

What is lateral movement?

Lateral movement is the process attackers use after initial access that occurs in networks and cloud networks to move deeper into an environment. They may use stolen credentials, internal systems, remote access tools, trusted protocols, or compromised identities to reach higher-value assets, expand control, and prepare for data theft, ransomware, or disruption.

How do attackers typically move laterally inside enterprise networks?

After gaining initial access, attackers move laterally by using legitimate credentials and trusted tools to expand their reach across systems, typically following a predictable sequence:

Gain initial access through phishing, credential theft, or exposed services

Harvest additional credentials from compromised systems

Access internal systems using remote services such as RDP or SMB

Escalate privileges to gain broader control over the environment

Move toward high-value data, domain controllers, or administrative systems

Common techniques include pass-the-hash, Kerberoasting, abuse of remote desktop protocol (RDP), and misuse of trusted administrative tools. Because these actions rely on legitimate access, they often appear as normal internal activity.

Why do traditional security tools miss lateral movement?

Traditional security tools are not designed to track how attackers move inside the network, creating critical blind spots once an attacker is already inside. This leads to several limitations:

Perimeter tools focus on inbound and outbound traffic, missing internal east-west movement

Endpoint tools detect isolated events but lack cross-system correlation

Tools operate in silos across network, identity, and endpoint environments

Signature-based detection fails when attackers use valid credentials and trusted tools

How does Vectra AI detect lateral movement differently?

Vectra AI gives security teams visibility into how attackers actually move inside their environment, so they can detect and stop lateral movement before it turns into ransomware or data loss. Instead of chasing isolated alerts, teams see the full attack as it develops across their network:

Continuously monitors east-west traffic across data center, cloud, and hybrid environments

Correlates reconnaissance, credential use, and internal movement into a single attack story

Detects techniques such as pass-the-hash, Kerberoasting, and internal reconnaissance early

Connects activity across systems so teams can prioritize and act with confidence

Explore how the Vectra AI Platform helps your team see lateral movement clearly, reduce alert noise, and stop attacks before they impact critical systems or data.

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