Neysa Aegis vs. AEGIS CTRM

Teradata VantageCloud: The Complete Cloud Analytics and AI Platform VantageCloud is Teradata’s all-in-one cloud analytics and data platform built to help businesses harness the full power of their data. With a scalable design, it unifies data from multiple sources, simplifies complex analytics, and makes deploying AI models straightforward. VantageCloud supports multi-cloud and hybrid environments, giving organizations the freedom to manage data across AWS, Azure, Google Cloud, or on-premises — without vendor lock-in. Its open architecture integrates seamlessly with modern data tools, ensuring compatibility and flexibility as business needs evolve. By delivering trusted AI, harmonized data, and enterprise-grade performance, VantageCloud helps companies uncover new insights, reduce complexity, and drive innovation at scale.

Ensuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.

Criminal IP functions as a cyber threat intelligence search engine designed to identify real-time vulnerabilities in both personal and corporate digital assets, enabling users to engage in proactive measures. The concept behind this platform is that by acquiring insights into potentially harmful IP addresses beforehand, individuals and organizations can significantly enhance their cybersecurity posture. With a vast database exceeding 4.2 billion IP addresses, Criminal IP offers crucial information related to malicious entities, including harmful IP addresses, phishing sites, malicious links, certificates, industrial control systems, IoT devices, servers, and CCTVs. Through its four primary features—Asset Search, Domain Search, Exploit Search, and Image Search—users can effectively assess risk scores and vulnerabilities linked to specific IP addresses and domains, analyze weaknesses for various services, and identify assets vulnerable to cyber threats in visual formats. By utilizing these tools, organizations can better understand their exposure to cyber risks and take necessary actions to safeguard their information.

ZeroPath is the AI-native SAST that finds vulnerabilities traditional tools miss. We built it because security shouldn't overwhelm developers with noise. Unlike pattern-matching tools that flood you with false positives, ZeroPath understands your code's intent and business logic. We find authentication bypasses, IDORs, broken auth, race conditions, and business logic flaws that actually get exploited and missed by traditional SAST tools. We auto-generate patches and pull requests that match your project's style. 75% fewer false positives, 200k+ scans run per month, and ~120 hours saved per team per week. Over 750 organizations use ZeroPath as their new AI-native SAST. Our research has uncovered critical vulnerabilities in widely-used projects like curl, sudo, OpenSSL, and Better Auth (CVE-2025-61928). These are the kinds of issues off-the-shelf scanners and manual reviews miss, especially in third-party dependencies. ZeroPath is an all-in-solution for your AppSec teams: 1. AI-powered SAST 2. Software Composition Analysis with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code scanning 5. Automated PR reviews 6. Automated patch generation and more...

Effectively tracking third-party scripts removes ambiguity, guaranteeing that you remain informed about what is sent to your users' browsers, while also boosting script efficiency by as much as 30%. The uncontrolled existence of these scripts within users' browsers can lead to major complications when issues arise, resulting in negative publicity, possible legal repercussions, and claims for damages due to security violations. Organizations that manage cardholder information must adhere to PCI DSS 4.0 requirements, specifically sections 6.4.3 and 11.6.1, which mandate the implementation of tamper-detection mechanisms by March 31, 2025, to avert attacks by alerting relevant parties of unauthorized changes to HTTP headers and payment details. c/side is distinguished as the only fully autonomous detection system focused on assessing third-party scripts, moving past a mere reliance on threat intelligence feeds or easily circumvented detection methods. Utilizing historical data and advanced artificial intelligence, c/side thoroughly evaluates the payloads and behaviors of scripts, taking a proactive approach to counter new threats. Our ongoing surveillance of numerous websites enables us to remain ahead of emerging attack methods, as we analyze all scripts to improve and strengthen our detection systems continually. This all-encompassing strategy not only protects your digital landscape but also cultivates increased assurance in the security of third-party integrations, fostering a safer online experience for users. Ultimately, embracing such robust monitoring practices can significantly enhance both the performance and security of web applications.

SOCRadar Extended Threat Intelligence is an all-encompassing platform built to proactively identify and evaluate cyber threats, offering actionable insights that are contextually relevant. As organizations strive for improved visibility into their publicly available assets and the vulnerabilities linked to them, relying only on External Attack Surface Management (EASM) solutions proves insufficient for effectively managing cyber risks; these technologies should be integrated within a broader enterprise vulnerability management strategy. Businesses are increasingly focused on safeguarding their digital assets from every conceivable risk factor. The traditional emphasis on monitoring social media and the dark web is no longer adequate, as threat actors continually adapt and innovate their attack strategies. Thus, comprehensive monitoring across various environments, including cloud storage and the dark web, is vital for empowering security teams to respond effectively. Furthermore, a robust approach to Digital Risk Protection necessitates the inclusion of services such as site takedown and automated remediation processes. By adopting this multifaceted approach, organizations can significantly enhance their resilience in the face of an ever-evolving cyber threat landscape, ensuring they can respond proactively to emerging risks. This continuous adaptation is crucial for maintaining a strong security posture in today's digital environment.

Google's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.

A10 Defend Threat Control is a cloud-based service integrated into the A10 software suite. It features an up-to-the-minute DDoS attack map along with a comprehensive inventory of DDoS threats. Unlike many existing tools that prioritize ease of use but often generate false positives or negatives, A10 Defend Threat Control offers in-depth insights into both attackers and their targets. This includes analytics on various vectors, emerging trends, and other critical data points. By delivering actionable intelligence, it empowers organizations to enhance their security measures and effectively block harmful IP addresses that could initiate DDoS attacks. Ultimately, this tool stands out in its ability to combine thorough analysis with practical defense strategies for businesses facing evolving cyber threats.

ESET Protect Advanced delivers a robust cybersecurity solution tailored for organizations of various sizes. This platform provides cutting-edge endpoint security to combat ransomware and zero-day vulnerabilities effectively. It features full disk encryption to uphold legal standards and safeguard data integrity. The solution employs adaptive scanning, cloud sandboxing, and behavioral analysis to defend against emerging cloud-based threats proactively. Additionally, mobile threat protection encompasses anti-malware and anti-theft measures for both Android and iOS devices. Beyond this, it includes cloud application security, mail server protection, vulnerability assessment, patch management, and comprehensive cloud app safeguards. Enhancements such as multi-factor authentication and extended detection and response (XDR) bolster threat detection and response capabilities. The system offers a unified remote management interface that allows for seamless visibility into threats and user activities. Furthermore, it provides in-depth reporting and tailored notifications to keep users informed of potential risks and system status. This holistic approach ensures that businesses can maintain a strong security posture in an increasingly complex digital landscape.

Chainguard Containers are a curated catalog of minimal, zero-CVE container images backed by a leading CVE remediation SLA—7 days for critical vulnerabilities, and 14 days for high, medium, and low severities—helping teams build and ship software more securely. Contemporary software development and deployment pipelines demand secure, continuously updated containerized workloads for cloud-native environments. Chainguard delivers minimal images built entirely from source using fortified build infrastructure, including only the essential components required to build and run containers. Tailored for both engineering and security teams, Chainguard Containers reduce costly engineering effort associated with vulnerability management, strengthen application security by minimizing attack surface, and streamline compliance with key industry frameworks and customer expectations—ultimately helping unlock business value.