IBM Security QRadar and Kaspersky Anti-Targeted Attack Platform compete in the cybersecurity threat detection and response category. IBM Security QRadar is viewed as having the upper hand in support and pricing, while Kaspersky stands out with its advanced feature offerings.
Features: IBM Security QRadar offers robust analytics, seamless integration with varied systems, enhancing threat intelligence plus detection capabilities, and is known for its ease of use. Meanwhile, Kaspersky Anti-Targeted Attack Platform is praised for its advanced detection techniques, particularly in identifying targeted attacks using machine learning, real-time threat data, and its ability to detect threats unique to Russian-origin.
Room for Improvement: IBM Security QRadar could enhance its feature set with more advanced machine learning capabilities, improve integration with non-IBM products, and expand its customization options for complex environments. Kaspersky needs to streamline its deployment process, improve its global technical support services, and reduce the resource-intensiveness of its solutions.
Ease of Deployment and Customer Service: IBM Security QRadar provides a straightforward deployment process with extensive support services that ease integration. Kaspersky offers a more complex deployment but delivers comprehensive customization options with dedicated customer support, albeit requiring more time for personalization.
Pricing and ROI: IBM Security QRadar is known for a more attractive setup cost, providing solid ROI through cost-effective solutions and scalability. Kaspersky Anti-Targeted Attack Platform requires a higher initial investment but compensates with advanced protection and flexibility, resulting in substantial ROI in high-security demand environments.
IBM Security QRadar (recently acquired by Palo Alto Networks) is a security and analytics platform designed to defend against threats and scale security operations. This is done through integrated visibility, investigation, detection, and response. QRadar empowers security groups with actionable insights into high-priority threats by providing visibility into enterprise security data. Through centralized visibility, security teams and analysts can determine their security stance, which areas pose a potential threat, and which areas are critical. This will help streamline workflows by eliminating the need to pivot between tools.
IBM Security QRadar is built to address a wide range of security issues and can be easily scaled with minimal customization effort required. As data is ingested, QRadar administers automated, real-time security intelligence to swiftly and precisely discover and prioritize threats. The platform will issue alerts with actionable, rich context into developing threats. Security teams and analysts can then rapidly respond to minimize the attackers' strike. The solution will provide a complete view of activity in both cloud-based and on-premise environments as a large amount of data is ingested throughout the enterprise. Additionally, QRadar’s anomaly detection intelligence enables security teams to identify any user behavior changes that could be indicators of potential threats.
IBM QRadar Log Manager
To better help organizations protect themselves against potential security threats, attacks, and breaches, IBM QRadar Log Manager gathers, analyzes, preserves, and reports on security log events using QRadar Sense Analytics. All operating systems and applications, servers, devices, and applications are converted into searchable and actionable intelligent data. QRadar Log Manager then helps organizations meet compliance reporting and monitoring requirements, which can be further upgraded to QRadar SIEM for a more superior level of threat protection.
Some of QRadar Log Manager’s key features include:
Reviews from Real Users
IBM Security QRadar is a solution of choice among users because it provides a complete solution for security teams by integrating network analysis, log management, user behavior analytics, threat intelligence, and AI-powered investigations into a single solution. Users particularly like having a single window into their network and its ability to be used for larger enterprises.
Simon T., a cyber security services operations manager at an aerospace/defense firm, notes, "The most valuable thing about QRadar is that you have a single window into your network, SIEM, network flows, and risk management of your assets. If you use Splunk, for instance, then you still need a full packet capture solution, whereas the full packet capture solution is integrated within QRadar. Its application ecosystem makes it very powerful in terms of doing analysis."
A management executive at a security firm says, "What we like about QRadar and the models that IBM has, is it can go from a small-to-medium enterprise to a larger organization, and it gives you the same value."
Today’s cybercriminals constantly design unique and innovative methods of penetration and compromise. To avoid perimeter prevention technologies they use social engineering, non-malware and supply chain attacks to operate under the radar of security designed to catch ‘bad’ traces. It’s not enough to just ‘know’ what’s bad or dangerous – enterprises need to understand what’s normal, and use AI-driven techniques that simplify and automate this process. Targeted Attack Analyzer is a machine learning engine that involves self-learning to establish the baseline of normal, legitimate activities of an entire network. Through continuous network telemetry collection it finds deviations, detects suspicious activities and predicts further malicious actions at the initial stages of multilayered attacks.
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