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Adaptive SecurityAdaptive Security was founded in 2024 by seasoned entrepreneurs Brian Long and Andrew Jones. Since inception, the company has raised over $50 million from top-tier investors including OpenAI, Andreessen Horowitz, and executives from Google Cloud, Fidelity, Plaid, Shopify, and other industry leaders. Adaptive defends organizations against sophisticated, AI-driven cyber threats such as deepfakes, vishing, smishing, and spear phishing. Its next-generation security awareness training and AI phishing simulation platform enables security teams to deliver ultra-personalized training that adapts to each employee’s role, access level, and exposure. This training leverages real-time open-source intelligence (OSINT) and features highly convincing deepfake content—including synthetic media of a company’s own executives—to mirror real-world attack vectors. Through AI-powered simulations, customers can continuously assess and improve organizational resilience. Hyper-realistic phishing tests across voice, SMS, email, and video channels evaluate risk across every major vector. These simulations are fueled by Adaptive’s AI OSINT engine, giving teams deep visibility into how attackers might exploit their digital footprint. Today, Adaptive serves global leaders like Figma, The Dallas Mavericks, BMC Software, and Stone Point Capital. With an industry-leading Net Promoter Score of 94, Adaptive is redefining excellence in cybersecurity.
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ThreatLockerThreatLocker is a Zero Trust platform designed to prevent cyber threats by ensuring only trusted applications and processes are allowed to operate. It eliminates persistent admin privileges, applies least privilege controls, and gives organizations granular control over how software runs. Through application allowlisting, ringfencing, and storage controls, it blocks ransomware, zero day attacks, and unauthorized behavior before anything can execute. Built for today’s IT and security teams, ThreatLocker delivers centralized control and real time visibility across endpoints, users, and applications. It reduces attack surface, limits lateral movement, and supports compliance with detailed logging and audit trails. With rapid deployment, a continuously maintained application library, and efficient approval processes, organizations can enhance security while lowering operational complexity and maintaining uptime.
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Criminal IP ASMCriminal IP's Attack Surface Management (ASM) is a cutting-edge platform driven by intelligence that seeks to constantly pinpoint, catalog, and supervise all internet-connected resources associated with an organization, including often ignored and shadow assets, thereby granting teams insight into their genuine external exposure as seen by potential attackers. This innovative solution combines automated asset identification with open-source intelligence (OSINT) techniques, enhancements via artificial intelligence, and advanced threat intelligence to uncover exposed hosts, domains, cloud services, IoT devices, and various other entry points on the internet, while also gathering evidence like screenshots and metadata, linking discoveries to known vulnerabilities and tactics used by attackers. By assessing exposures in terms of business significance and risk, ASM highlights vulnerable components and misconfigurations, delivering real-time alerts and interactive dashboards that streamline investigation and remediation processes. Moreover, this all-encompassing tool not only aids organizations in managing their security stance but also equips them to stay ahead of emerging threats by fostering a proactive security culture within their teams. Ultimately, the proactive management of attack surfaces can significantly enhance an organization's resilience against cyber risks.
What is Tencent Cloud Web Application Firewall?
Detecting web attacks employs a blend of artificial intelligence and established guidelines, which helps to provide strong anti-bypass defenses while keeping false negative and false positive rates low. This approach effectively shields against common web vulnerabilities, including those outlined in the OWASP top 10, which features threats like SQL injection, unauthorized access, cross-site scripting, and cross-site request forgery, among others. Moreover, users can opt to save vital web content in the cloud, facilitating the publication of cached web pages that act as backups to lessen the impact of any modifications to web pages. The backend systems are protected by a thorough strategy that involves hiding servers and applications prior to an attack, defending against ongoing threats, and either obscuring or replacing sensitive information after incidents. In addition, the Web Application Firewall (WAF) carries out rigorous DNS verification nationwide for the domains provided by clients, which enables it to detect and alert on any hijacking attempts that may affect the secured domain names in various regions, a critical factor in averting data breaches and financial setbacks related to user hijacking on websites. As a result, this comprehensive strategy not only strengthens security measures but also significantly boosts user confidence in web services, fostering a safer online environment for all stakeholders involved.
What is Check Point WAF?
Check Point WAF is a comprehensive cloud-native security platform that provides unified protection for web applications, APIs, and generative AI applications through an advanced prevention-first security approach. Unlike traditional web application firewalls that rely heavily on signatures, rule creation, and ongoing tuning, Check Point WAF uses contextual artificial intelligence and machine learning to deliver proactive protection against both known and emerging threats. The platform analyzes application traffic through multiple AI-powered detection engines that evaluate attack indicators and behavioral context to accurately identify malicious activity while minimizing false positives. This enables organizations to defend against sophisticated attack techniques such as SQL injection, cross-site scripting, cross-site request forgery, API abuse, bot attacks, denial-of-service attempts, malware uploads, and zero-day vulnerabilities including previously unknown exploit methods. The solution also incorporates dedicated security controls for modern AI-powered applications and APIs, helping organizations protect sensitive data, maintain application integrity, and address evolving attack surfaces. Designed for cloud-native environments, Check Point WAF integrates seamlessly with DevOps workflows, CI/CD pipelines, infrastructure-as-code frameworks, and automated deployment processes, allowing teams to implement security without slowing innovation. Additional capabilities include real-time API protection, advanced file security, intrusion prevention, DDoS mitigation, bot management, and automated threat detection that continuously adapts to changing application behavior. By eliminating the complexity associated with manual rule management and signature maintenance, the platform significantly reduces operational overhead while maintaining high threat detection accuracy.
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
Tencent
Date Founded
2013
Company Location
China
Company Website
intl.cloud.tencent.com/product/waf
Company Facts
Organization Name
Check Point Software
Date Founded
1993
Company Location
United States
Company Website
www.checkpoint.com/cloudguard/waf/
Categories and Features
Web Application Firewalls (WAF)
Not specified
Categories and Features
Web Application Firewalls (WAF)
Not specified