

Vectra AI and SentinelOne Singularity Identity are prominent competitors in the cybersecurity threat detection market. Vectra AI holds an advantage with its network-centric focus, offering precise anomaly detection and alert reduction, while SentinelOne differentiates itself with endpoint protection and behavior-based threat detection.
Features: Vectra AI includes Cognito Recall and Detect for AI-driven analysis of network traffic, enhancing threat detection and consolidating alerts into single incidents. Its strengths lie in metadata enrichment and prioritized alert management. In contrast, SentinelOne offers behavior-based detection and a unified console, focusing on dynamic threat visibility across endpoints and providing robust incident response capabilities.
Room for Improvement: Vectra AI could improve its SIEM integration and packet capture capabilities, as users seek smoother third-party tool integrations and reporting enhancements. The challenge of fine-tuning to reduce false positives is notable. SentinelOne should refine its agent capabilities and reporting interfaces, with calls for improved endpoint management and licensing transparency.
Ease of Deployment and Customer Service: Vectra AI supports both on-premises and hybrid deployments, emphasizing comprehensive customer service, with users praising its responsive support team. SentinelOne, oriented toward cloud deployment, facilitates simpler setups, though users indicate a need for better support with complex issues.
Pricing and ROI: Vectra AI is often considered expensive due to its IP-based pricing and sophisticated features like Cognito Recall, yet users find value in its comprehensive detection capabilities. SentinelOne offers competitive pricing compared to peers like CrowdStrike, with pricing reflecting ongoing development, providing value through quick security response times and lower breach impacts.
Workload reduction on the SOC side is now 100% lighter than previously.
They have been responsive to our needs as integrators and those of the client.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
Customer support receives a rating of nine out of ten due to being very supportive and responding quite efficiently.
Vectra AI is scalable because it can work through different kinds of solutions and is compatible with all kinds of cloud solutions.
There is a clear roadmap for improvements, including enhancing capabilities with AI and seamless functionality in an MSP model for deeper visibility across multiple agencies.
ExtraHop's ability to decrypt encrypted data is a feature that Vectra AI lacks.
A native CMDB-like feature and risk scoring would be a big advantage.
All threats, including hacking attempts, should be comprehensively addressed.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
With visibility into endpoint telemetry, SentinelOne does provide useful information to find threat actors and empowers those who are in the business of threat hunting.
We now experience only two to three hours of downtime, whereas without Vectra AI and other tools, our downtime would exceed 48 to 72 hours.
Attack Signal Intelligence helped reduce irrelevant alerts by 80% to 90%, with metrics showing a 100-plus reduction in investigation workloads and roughly saving about 55,000 hours of investigation time.
There are extensive out-of-box detection capabilities.
| Product | Market Share (%) |
|---|---|
| SentinelOne Singularity Identity | 5.1% |
| Vectra AI | 2.7% |
| Other | 92.2% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 5 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 10 |
| Large Enterprise | 29 |
Singularity Identity, a component of the Singularity platform, provides threat detection & response (ITDR) capabilities to defend Active Directory and domain-joined endpoints in real-time from adversaries aiming to gain persistent, elevated privilege and move covertly. Singularity Identity provides actionable, high-fidelity insight as attacks emerge from managed and unmanaged devices. It detects identity misuse and reconnaissance activity happening within endpoint processes targeting critical domain servers, service accounts, local credentials, local data, network data, and cloud data. On-agent cloaking and deception techniques slow the adversary down while providing situational awareness and halting adversarial attempts at lateral movement. Singularity Identity helps you detect and respond to identity-based attacks, providing early warning while misdirecting them away from production assets.
Singularity Identity’s primary use case is to protect credential data and disrupt identity-based attacks. The most valuable function of Singularity Identity is its ability to misdirect attackers by providing deceptive data to identity-based recon attacks. Additionally, it can hide and deny access to locally stored credentials or identity data on Active Directory domain controllers.
Singularity Identity also provides rapid detection and respond to identity attacks, capturing attack activity and feeding it directly to the Singularity platform’s Security DataLake for enterprise-wide analysis and response.
By implementing Singularity Identity, organizations benefit from enhanced security, reduced credential-related risks, and improved user productivity. It detects and responds to identity-based attacks, ensuring only authorized individuals can access critical identity data. With its cloaking capabilities to hide identity stored locally on endpoints or in the identity infrastructure and it’s ability to provide decoy results to identity-based attacks, organizations can effectively secure their sensitive or privileged identities, resulting in improved overall identity security.
Vectra AI offers advanced hybrid network and identity security, detecting threats traditional tools miss. It uses AI to identify lateral attacks and credential misuse, providing a proactive defense for enterprises.
Vectra AI enhances security by using AI-driven detection across network, cloud, and identity layers, surpassing EDR and SIEMs by offering real-time threat detection. It ensures continuous observability and automates SOC workflows to minimize manual efforts, creating an efficient security environment. Its AI-powered approach significantly reduces noise, focusing on true threats, and provides insights into complex threat landscapes, with seamless integration into environments like EDR and Office 365.
What are Vectra AI's key features?Vectra AI is utilized across industries for comprehensive network and anomaly detection. Organizations deploy it for threat hunting and incident response, monitoring both on-premises and cloud activities. By placing sensors across sites, they optimize security practices and streamline their detection processes.
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