Darktrace and Splunk User Behavior Analytics compete in the cybersecurity domain with both emphasizing threat detection and data analytics. Based on the features, Darktrace seems to have an edge with its AI-driven threat detection offering immediate response capabilities.
Features: Darktrace integrates AI and machine learning, providing robust threat detection with its Enterprise Immune System. Features like Antigena for autonomous response and an intuitive dashboard stand out. Its capabilities in packet analysis and anomaly identification deliver comprehensive network threat visibility. Splunk User Behavior Analytics excels in real-time data collection from various sources and advanced analytics. Its customizable dashboards help detect patterns and anomalies, offering scalability for large environments.
Room for Improvement: Darktrace needs enhancement in integration and endpoint protection, particularly its SIEM integration and handling of false positives. There's room for improvement in pricing flexibility. Splunk UBA faces challenges with complex pricing and configuration. It could improve in integration capabilities and dashboard user-friendliness.
Ease of Deployment and Customer Service: Darktrace typically deploys on-premises but supports hybrid and private cloud options. It is praised for its technical support, though there's room for improvement in complex deployments. Splunk UBA offers both on-premises and cloud deployment with customer support that accommodates various skill levels effectively.
Pricing and ROI: Darktrace is seen as expensive, with costs linked to device counts, posing a barrier for smaller enterprises. However, it offers substantial ROI through preventative measures. Splunk UBA is also considered costly, with pricing based on data volume and functionalities. Its budgeting complexity impacts cost management, though its ROI is recognized for comprehensive data handling and integration.
Other NDR solutions provide virtual appliances that can be deployed on virtualization servers to get up and running quickly.
Using this solution provides financial benefits by securing from server attacks, which offers indirect savings.
The solution can save costs by improving incident resolution times and reducing security incident costs.
The technical support from Darktrace is of high quality.
Darktrace provides excellent technical support with a monthly meeting to review platform incidents, ensuring the system functions as expected.
The challenge lies in waiting for a response after logging a ticket.
Mission-critical offering a dedicated team, proactive monitoring, and fast resolution.
I would rate the support at eight, meaning there's some room for improvement.
Splunk's technical support is amazing.
Darktrace has high scalability, and I would rate it a nine out of ten.
Since it's cloud-based, it expands easily.
There is still a gap in terms of storage, and we are trying to figure out how to increase that capacity for regulated environments, which require data retention for 5 to 6 years.
Splunk User Behavior Analytics is highly scalable, designed for enterprise scalability, allowing expansion of data ingestion, indexing, and search capabilities as log volumes grow.
The stability of Darktrace is excellent, rated ten out of ten.
The appliance itself has never let me down.
For stability, I would rate Darktrace an eight out of ten.
Splunk User Behavior Analytics is a one hundred percent stable solution.
Splunk User Behavior Analytics is highly stable and reliable, even in large-scale enterprise environments with high log injection rates.
Sometimes issues occur when handling long-term data.
There is no dedicated salesperson in Egypt, and having one would help to improve focus on this market.
They say they can integrate with most firewalls, but when we did an integration with Meraki MX firewalls, that integration didn't work and still doesn't work to this day.
We need Darktrace on each branch to get the data out, and I suggest having some kind of a centralized product that gets data from multiple sources to aggregate and provide the data.
I encountered several issues while trying to create solutions for this advanced version, which seem unrelated to query or data issues.
High data ingestion costs can be an issue, especially for large enterprises, as Splunk charges based on the amount of data processed.
Advanced reporting could see enhancements as there are some issues with latency.
The product is considered expensive compared to others.
The pricing is costly in USD, and they charge based on device counts.
The licensing cost is approximately eight dollars a year.
Comparing with the competitors, it's a bit expensive.
The pricing is based on the amount of data processed, and it is considered a high-level investment for enterprises.
It is capable of responding to lateral movement and ransomware deployment within environments where there is data exfiltration.
I do not need to manually process incidents as Darktrace provides an incident summary, potential detection paths, and other details, all exportable with just a click.
If I am in a data center where I don't have layer two, it becomes an issue because the autonomous response is reliant on sending spoofed TCP resets to my core switch to block traffic, which is a major issue.
I also utilize it for anomaly detection and behavior analysis, particularly using Splunk's machine learning environment.
Features like alerts and auto report generation are valuable.
Splunk User Behavior Analytics offers several beneficial features, such as Insider Threat Detection, account compromise detection, risk scoring, threat detection, and machine anomaly detection.
Darktrace is a leading cybersecurity solution that leverages artificial intelligence and machine learning to provide advanced threat detection, response, and risk management capabilities. Many reviewers find Darktrace's AI and machine-learning capabilities to be valuable. They appreciate its ability to detect anomalies and threats that might go unnoticed by traditional security tools. Overall, the general sentiment towards Darktrace from reviewers is positive. Users seem to appreciate its scalability, stability, AI capabilities, visibility, and ease of use.
Darktrace offers a proactive and intelligent approach to cybersecurity. It utilizes AI algorithms to learn and understand the 'pattern of life' for every user and device within a network. This understanding enables it to detect anomalies that could signify a cyber threat, from subtle insider threats to more obvious ransomware attacks.
Its adaptability, autonomous response features, and comprehensive network visibility make it a top-tier solution for different sizes of organizations and across many industries. It was named one of TIME magazine’s ‘Most Influential Companies’ in 2021 and protects over 8,800 organizations globally from advanced cyber threats.
Darktrace Cyber AI Loop
The Darktrace Cyber AI Loop introduces an advanced artificial intelligence-based system for cybersecurity, designed to build a self-improving defense mechanism. This system functions like a closed loop, where each stage feeds information and insights into the next, amplifying the overall effectiveness of the platform.
The key components of the loop are:
Darktrace's AI algorithms can identify threats that traditional security tools might miss. It continuously learns and updates its understanding of what is normal for each environment, ensuring that it can quickly detect and respond to unusual activities that could indicate a breach. Darktrace's Antigena module can autonomously respond to threats in real time. This is particularly crucial in containing fast-moving threats like ransomware, where every second counts.
Darktrace's solution provides unparalleled visibility into all parts of the network, including cloud services, IoT devices, and industrial control systems. This comprehensive coverage ensures that no part of the network is left unprotected. However, while the Darktrace Cyber AI Loop offers a robust solution, it is not a complete cure-all and requires careful implementation and integration with existing security frameworks.Darktrace offers a comprehensive and unified approach to cybersecurity. It provides continuous protection against known and unknown threats, regardless of where they emerge. Darktrace's solutions provide visibility into your cloud infrastructure, continuous monitoring of application usage and communication patterns (e.g., identification of suspicious actions like unauthorized data access), comprehensive email security that goes beyond traditional spam and phishing filters, real-time protection for endpoints, and continuous monitoring of network traffic and device activity.
Darktrace also provides specialized coverage to secure your zero-trust architecture. Identifies compromised identities, unauthorized access attempts, and risky data exfiltration within a least-privilege environment. Finally, it has a dedicated solution for safeguarding industrial control systems and critical infrastructure. Monitors communication patterns, device behavior, and physical access within OT environments, protecting against operational disruptions and cyberattacks.
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
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