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csideEffectively tracking third-party scripts removes ambiguity, guaranteeing that you remain informed about what is sent to your users' browsers. 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.
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KrakenDDesigned for optimal performance and effective resource management, KrakenD is capable of handling an impressive 70,000 requests per second with just a single instance. Its stateless architecture promotes effortless scalability, eliminating the challenges associated with database maintenance or node synchronization. When it comes to features, KrakenD excels as a versatile solution. It supports a variety of protocols and API specifications, providing detailed access control, data transformation, and caching options. An exceptional aspect of its functionality is the Backend For Frontend pattern, which harmonizes multiple API requests into a unified response, thereby enhancing the client experience. On the security side, KrakenD adheres to OWASP standards and is agnostic to data types, facilitating compliance with various regulations. Its user-friendly nature is bolstered by a declarative configuration and seamless integration with third-party tools. Furthermore, with its community-driven open-source edition and clear pricing structure, KrakenD stands out as the preferred API Gateway for enterprises that prioritize both performance and scalability without compromise, making it a vital asset in today's digital landscape.
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Control DControl D is a versatile DNS filtering and traffic redirection service that utilizes advanced Secure DNS protocols such as DNS-over-HTTPS, DNS-over-TLS, and DNS-over-QUIC, while also accommodating traditional DNS. With Control D, users can effectively eliminate harmful threats, restrict various types of undesirable content across the network—including advertisements, trackers, IoT data, adult material, social media, and more—while also redirecting traffic through transparent proxies and monitoring network activities and usage patterns at a client-specific level. Consider it your own personalized Authoritative DNS resolver for the entire Internet, providing you with detailed control over which domains are allowed to be resolved, redirected, or blocked. This capability not only enhances security but also empowers users to tailor their online experience according to their preferences.
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Criminal IPCriminal 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.
What is Formal?
Formal operates as a sophisticated reverse proxy that understands various protocols, thereby improving security for databases, APIs, infrastructure, and AI tools through the implementation of least privilege principles at the wire-protocol layer. Deployed as a single stateless binary within a Virtual Private Cloud (VPC), it utilizes platforms like Terraform, Kubernetes, or Docker, placing itself strategically between users and resources without requiring any modifications to existing applications, SDKs, or agents. Capable of analyzing over 15 different protocols—including PostgreSQL, MySQL, MongoDB, Snowflake, SSH, Kubernetes, HTTP, MCP, S3, Redis, RDP, BigQuery, ClickHouse, and DynamoDB—Formal enables more granular decision-making based on specific queries instead of relying on broad network filtering alone. Additionally, its policies can manage user authentication and authorization, mask or filter data fields, alter requests, restrict certain actions, enforce multi-factor authentication, isolate sessions, revoke access, or allow impersonation during session, request, and response phases. Moreover, teams can safeguard AI agents and MCP servers by stripping personally identifiable information before processing by a model, preventing unauthorized tool access, and thoroughly auditing every action performed. This multifaceted strategy not only strengthens security but also assures adherence to data protection regulations, fostering a more secure operational environment for all users involved. In conclusion, Formal exemplifies an innovative approach to modern security challenges, effectively balancing functionality with compliance.
What is Espresso AI?
Espresso AI is an advanced platform designed to optimize data warehouse performance, significantly reducing compute and query costs for systems like Snowflake and Databricks SQL through the use of machine-learning agents that manage scaling, scheduling, and query rewriting in real-time. The platform incorporates three crucial agents: an autoscaling agent that predicts workload increases and minimizes idle computing resources, a scheduling agent that effectively allocates queries across various clusters to improve utilization and decrease downtime, and a query agent that leverages large language models and formal verification methods to rewrite SQL, ensuring consistent results while boosting performance. Promising quick deployment, Espresso AI asserts that users can begin utilizing the service within minutes rather than months, and it operates on a pricing model based on the actual savings it creates, meaning there are no costs if it doesn’t reduce expenses. By automating numerous optimization decisions daily, Espresso AI not only delivers substantial cost reductions but also enables engineering teams to focus on developing features that enhance overall value. This transformative approach empowers businesses to maximize their data warehouse capabilities without the typical burdens associated with data management, ultimately reshaping how they interact with and leverage their data resources for strategic advantage. As organizations increasingly rely on data-driven insights, tools like Espresso AI will play a pivotal role in streamlining operations and driving innovation.
Integrations Supported
Snowflake
Amazon DynamoDB
Amazon S3
ClickHouse
Databricks
Datadog
Docker
Google Cloud BigQuery
Kubernetes
Model Context Protocol (MCP)
Integrations Supported
Snowflake
Amazon DynamoDB
Amazon S3
ClickHouse
Databricks
Datadog
Docker
Google Cloud BigQuery
Kubernetes
Model Context Protocol (MCP)
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Formal
Company Location
United States
Company Website
formal.ai/
Company Facts
Organization Name
Espresso AI
Date Founded
2023
Company Location
United States
Company Website
espresso.ai/
Categories and Features
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
Categories and Features
Cloud Cost Management
Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting
Popular Alternatives
No Alternatives