Alternatives to IDLive Face Plus

RapidSpike interacts digitally with customers just like customers, and monitors real and synthetic customer interactions from outside in order to provide clear insight into how to monitor, improve, and protect their digital experience. RapidSpike Magecart Attack Detection can detect client-side security breaches. Protect your customers' data, avoid massive fines, and protect your business' reputation.

Oz Liveness is a world-leading facial recognition and authentication software that is used by private and public organizations around the world to reduce the risk of biometric fraud. It prevents deepfake attacks and spoofing attacks. Oz Liveness uses advanced algorithms to detect many forms of biometric spoofing. This includes 3D and 2D masks, photos and videos displayed on iPads or laptops, and photos and videos. Our technology has been approved by the industry's most stringent testing standard, ISO30107 certification. This certification helps organizations verify that they are dealing with a real person within seconds. It also lowers compliance risk and fraud risk.

The adoption of facial recognition technology for authentication purposes is rapidly growing, particularly on mobile platforms. However, the combination of readily available images on social media and the advancements in both digital and print image quality has created vulnerabilities in biometric systems that can be exploited by malicious actors to deceive facial recognition software. These deceptive tactics, referred to as presentation attacks, encompass various methods such as using printed photographs, cutout masks, video replays, and 3D masks. Implementing liveness detection enhances security and improves the ability to identify fraudulent attempts. ID R&D's passive face liveness offers a notable advantage as it is not only secure but also user-friendly. Unlike other solutions that require additional steps and can be time-consuming, IDLive Face operates seamlessly, remaining unnoticed by users who are unaware that the liveness check is taking place. Moreover, the software does not provide any hints to potential fraudsters on how to bypass it. As a result of its intuitive design, passive liveness significantly minimizes user confusion, leading to lower abandonment rates and reduced need for human oversight. This streamlined approach ultimately contributes to a more efficient and secure user experience.

We have been developing facial recognition algorithms on different platforms for the past six years. Face Recognition SDK has been designed to be efficient. It uses low memory and delivers high performance. We have a wide range of algorithms, and we will provide an SDK that is tailored to the specific needs of our clients. The following are some examples of High Accuracy - Lightweight Model - Several algorithms Mobile and Server

Microblink delivers next-generation identity verification and fraud prevention through a fully adaptive AI architecture built for speed, scalability, and resilience. Its end-to-end platform spans ID document and biometric verification, AML watchlist screening, payment card capture, liveness detection, and address or age verification—all powered by proprietary AI. Unlike static verification systems, Microblink’s models evolve continuously to detect deepfakes, synthetic identities, and behavioral anomalies in real time. Organizations can choose between cloud-based, regional, or on-device processing, ensuring full data sovereignty and privacy compliance. With 20+ client-side ML models and 6x smaller SDKs than leading alternatives, it delivers faster onboarding and seamless user experiences. Trusted by global brands such as KLM, Allianz, Hard Rock, and UNHCR, Microblink verifies over 65 million identities monthly across 160+ countries. The platform’s adaptive UX dynamically adjusts capture guidance for optimal success rates and accessibility. Combining precision, privacy, and speed, Microblink empowers enterprises to balance frictionless user journeys with robust fraud defense.

The ability to detect deepfakes in real-time and at scale is crucial for both the present and the future. Deepfakes present an unprecedented danger, eroding our essential trust in both society and one another, while continually evolving to avoid detection. Their accessibility makes them a threat that is widespread and easy to produce. These manipulations can infiltrate all forms of digital content, including videos, audio, and images, allowing them to impersonate virtually anyone. Addressing the challenge of deepfake detection necessitates advanced, ongoing research in artificial intelligence and cybersecurity. The brightest minds in the field are joining forces with our specialists to create cutting-edge technology that addresses this issue. Clarity stands out as a pioneering AI cybersecurity startup that defends against deepfakes, as well as emerging social engineering and phishing threats propelled by the swift rise of generative AI. With its innovative, patent-pending technology, Clarity identifies manipulations in videos, images, and audio while ensuring media authenticity through encrypted watermarking. As generative AI continues to evolve, the importance of robust detection methods will only grow, highlighting the need for continual advancements in this domain.

DeepfakeProof is an innovative and free browser extension that employs sophisticated technology to detect deepfakes, aiming to curb the dissemination of altered images across the internet. This state-of-the-art tool operates by scanning each webpage you access in real-time, delivering trustworthy notifications upon identifying any deepfake or manipulated visuals. With DeepfakeProof, users can feel confident knowing they are safeguarded from the deceptive effects of deepfake technology. Its dependable alerts and precise detection features contribute to a more secure online experience for everyone. Utilizing advanced AI-driven detection methods, DeepfakeProof efficiently analyzes all images on visited web pages, promptly notifying users if any manipulated content is detected. From celebrity impersonations to those generated by deepfake software, this extension ensures users are protected against the proliferation of misleading and potentially harmful deepfakes on the web, making your browsing experience safer than ever. Ultimately, DeepfakeProof empowers users with the tools needed to navigate the digital landscape with greater assurance.

Deepfakes represent a formidable challenge that AI poses to humanity, marking a significant turning point in cybersecurity. The industry must act swiftly to address the threats posed by deepfakes, as their potential to erode public trust in what is real looms large. This emerging danger, characterized by the malicious deployment of AI-generated synthetic media, stands as one of the most potent cyber weapons we have encountered to date. We anticipate that harmful applications of deepfakes will soon manifest, particularly in the form of sophisticated phishing attacks. A critical obstacle remains the current inadequacy of legitimate voice-swapping technologies, which presents a far greater risk than the more commonly discussed face or head-swapping methods. With the rapid advancement of AI, the need for robust countermeasures has never been more urgent.

DeepDetector is an advanced deep learning network specifically engineered to identify faces that have been generated or altered by AI. Functioning as an artificial neural network, it is adept at uncovering both forgeries and traces left by computer-generated images. This innovative tool plays a vital role in identity verification and fraud prevention. With its exceptional ability to detect AI-generated content, DeepDetector stands as a crucial ally in combating deepfakes. By incorporating biometric systems, it guarantees the authenticity of documents and protects user identity integrity, thereby facilitating Know Your Customer (KYC) processes. Users can achieve rapid and dependable identification of deepfake content in real-time, boasting an impressive accuracy rate of up to 99% and an analysis time of merely one second. Additionally, our versatile API integration allows for smooth customization, enabling the seamless incorporation of our deepfake detection capabilities into your current identity verification frameworks, ensuring you stay ahead in the fight against digital deception. As the landscape of digital content evolves, having such a proactive defense mechanism becomes increasingly essential.

SEAP® for Mobile serves as an SDK that seamlessly integrates into the customer's application without the need for special permissions, while SEAP® for Web utilizes JavaScript to function within the web browser environment, eliminating the requirement for agent installation. This innovative system identifies malware threats across both mobile and web platforms, including sophisticated attacks such as man-in-the-browser, man-in-the-app, remote access trojans (RAT), web injections, overlay attacks, SMS grabbing, memory tampering, and various forms of injection attacks. Additionally, SEAP® is capable of detecting and reporting technological vulnerabilities on devices, such as jailbreaking, rooting, attempts at reverse engineering, binary tampering, and repacking. For certain device conditions detected, the app can activate countermeasures through dedicated RASP APIs. Furthermore, SEAP® also identifies fraudulent activities that compromise existing user accounts by employing behavioral biometrics and device identity verification methods, ensuring enhanced security for users. This comprehensive approach to threat detection not only safeguards applications but also fortifies user trust in digital environments.

GetReal Security provides sophisticated, enterprise-level content verification solutions aimed at combating deepfakes and impersonation threats in real time across various audio and video platforms, including collaborative tools. Their comprehensive, multi-layered defense strategy encompasses various analyses such as content credentials, pixel, physical, provenance, semantic, human signals, biometric, behavioral, and environmental assessments to deliver robust protection. Engineered for smooth integration with current collaboration and cybersecurity processes, GetReal Security empowers organizations to uphold trust in digital communications by confirming the authenticity, source, and integrity of content, effectively tackling the issues brought forth by AI-generated misinformation and harmful digital content. Furthermore, their innovative technology not only safeguards against current threats but also adapts to evolving challenges in the digital landscape.

Innovative companies leverage Passbase to effectively and safely confirm the identities of their clients using identification documents, selfies, and official government databases. In just seconds, users can authenticate more than 6,000 government-issued identity documents from over 190 nations on both web and mobile platforms. By utilizing top-tier NIST face comparison technology, Passbase ensures accurate matching of IDs to faces while significantly reducing the risk of spoofing attacks through advanced liveness detection measures. This technology increases the confidence level during user onboarding by ensuring that individuals are physically present during each verification process. Furthermore, our sophisticated liveness detection capabilities are designed to thwart complex spoofing attempts by distinguishing between recaptured images and authentic live sessions, providing an extra layer of security. With such comprehensive verification methods, brands can enhance their user trust and maintain a secure digital environment.

An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of deepfake technology.

FacePlugin is the leading provider of On-Premises Identity Validation Solutions. Our robust suite of products includes state-of the-art technologies, such as Face Recognition and Face Liveness Detection. We also offer ID Document Recognition, Palm Print Recognition, and Palm Print Recognition. Our face recognition algorithm is fast and unbiased. Our liveness detection model is able to detect spoofing, including 3D masks, printed photos, video replays, and deepfake. Our ID document recognition software can recognize ID documents from over 180 countries, including ID cards, passports and driver licenses. We offer SDKs - Face recognition SDK (Android, iOS, Server) - Liveness detection SDK (Android, iOS, Server) - ID document recognition SDK (Android, iOS, Server) - Palmprint Recognition SDK (Server). Programming languages Flutter, Swift, Java, Object C and Python We offer free integration support.

Reality Defender's proactive platform can detect deepfakes and stop them before they become a major problem. Deepfake-driven disinformation is exploding. AI-powered fraud techniques are now more accessible than ever. Reality Defender is a first-line defense against cybercrimes as attacks continue to increase. Scans user-generated content for fabricated items using API, Webhooks and Web Apps to stop deepfakes from the first day. Download PDF report cards and CSVs, or receive instant deepfake notifications via email. Our government-grade detection system, developed by the world's top AI research teams provides enterprises and entities of all sizes with intuitive protection against damaging deepfakes.

Netarx is an advanced detection system designed to protect businesses from the threats posed by deepfake and synthetic media in voice, video, and email communications. This platform operates in real time, constantly analyzing metadata and content across these communication channels, and promptly alerts users when any communications stray from established policies or show signs of suspicious activity. Netarx can be deployed through cloud services, on-premises installations, or within federated validator networks; it also features post-quantum security options and utilizes zero-knowledge proofs to enhance privacy. Organizations have the flexibility to configure multiple sites or divisions, each tailored with distinct security profiles to meet their needs. Users benefit from immediate, clear notifications in their existing applications through "flurp" warnings whenever an anomaly is detected. Additionally, IT departments receive precise signals to respond to potential threats, significantly lowering the chances of false alarms and bolstering their defenses against social engineering scams that leverage AI technology. This innovative approach positions Netarx as a vital tool in the ongoing battle against evolving digital threats.

Cerber Security vigorously defends WordPress from hacker attacks, spam, malware, and other threats. Blazingly fast and reliable in design A set of specialized request inspection algorithms screens incoming requests for malicious codes patterns and traffic anomalies. Bot detection engine detects and mitigates automated attacks. Reduces code injection and brute force attacks. GEO country rules restrict access. Both REST API and ordinary user numbers are blocked. Restricted access to REST API, XML-RPC. It uses a global list IP addresses that are known to be involved in malicious activity. Detects bots using heuristics and content-based algorithms. Compares IP address against a real-time list of IP addresses that are known to be disseminating spam, attacks on phishing and other malicious activity. Every file and folder on your website is thoroughly scanned for trojans, malware, and viruses. Automatically removes viruses and malware. Monitors suspicious, new, or changed files.

Phocus enables users to harness the power of our sophisticated AI deepfake detection API, DeepDetector. With this platform, individuals can easily manage employee accounts and submit images or videos for thorough examination via a user-friendly interface. After submission, Phocus generates an in-depth report detailing the likelihood that the submitted visual content is a deepfake, complete with a heat map for in-depth analysis. Additionally, Phocus securely saves these analytical results within the platform, providing users with the convenience of accessing their findings at any time. Experience the forefront of deepfake detection technology with Phocus, your trusted AI detection solution, and invite colleagues or external partners to collaborate. The detection process not only identifies potential deepfakes but also offers insightful explanations, ensuring users understand the results clearly. Moreover, the heat map highlights specific areas of the image that may raise suspicion, enhancing the overall analysis experience.

FortiDeceptor enhances the ability to detect and isolate advanced human and automated threats by tricking attackers into exposing their presence. As an integral component of the Fortinet SecOps Platform, it identifies and addresses in-network threats like the misuse of stolen credentials, lateral movement, man-in-the-middle attacks, and ransomware incidents. By incorporating FortiDeceptor into your cybersecurity framework, you transition from a reactive posture to a proactive one, utilizing intrusion-based detection alongside contextual intelligence. The platform draws attackers in during the reconnaissance phase through a variety of deception assets strategically placed throughout your infrastructure. It produces high-fidelity alerts derived from real-time interactions with both attackers and malware, enabling thorough analysis of attack activities and effective isolation measures. This capability notably reduces the workload on Security Operations Center (SOC) teams who often face an overwhelming number of false-positive alerts. Furthermore, FortiDeceptor supports various deployment methods to suit different organizational needs. Its versatility makes it a valuable asset for enhancing overall security strategies.

Mitigate lateral movement and prevent data theft by utilizing Avocado's security and visibility solutions that are both agentless and tailored for applications. This innovative approach combines app-native security with runtime policies and pico-segmentation, ensuring both simplicity and robust security at scale. By establishing microscopic perimeters around application subprocesses, threats can be contained at their most minimal definable surfaces. Additionally, by integrating runtime controls directly into these subprocesses, Avocado enables self-learning threat detection and automated remediation, regardless of the programming language or system architecture in use. Furthermore, it automatically shields your data from east-west attacks, functioning without the need for manual intervention and achieving near-zero false positives. Traditional agent-based detection methods, which rely on signatures, memory analysis, and behavioral assessments, fall short when faced with extensive attack surfaces and the persistent nature of lateral threats. Unless there is a fundamental shift in how attacks are detected, zero-day vulnerabilities and misconfiguration issues will persist, posing ongoing risks to organizational security. Ultimately, adopting such an advanced security model is essential for staying ahead of evolving cyber threats.

The recognition of web attacks utilizes a combination of AI and predefined rules, ensuring robust anti-bypass capabilities and maintaining low rates of both false negatives and false positives. This system effectively protects against prevalent web threats, such as those listed in the OWASP top 10, which encompasses issues like SQL injection, unauthorized access, cross-site scripting, and cross-site request forgery, among others. Additionally, users have the option to store essential web content in the cloud, enabling the publication of cached web pages that serve as backups to mitigate the risks associated with web page alterations. The backend infrastructure is safeguarded through a comprehensive strategy that includes concealing servers and applications before an attack occurs, preventing attacks during ongoing incidents, and replacing or concealing sensitive data after an event. Furthermore, the Web Application Firewall (WAF) conducts extensive DNS verification across the nation for the domains provided by customers, allowing it to identify and report any hijacking attempts affecting the protected domain names in different areas, which is crucial for preventing data breaches and financial losses linked to user hijacking on websites. This multifaceted approach not only fortifies security but also enhances user trust in web services.

Intel has developed the FakeCatcher deepfake detection technology, which evaluates the “blood flow” in video pixels to quickly assess the authenticity of a video in mere milliseconds. This system is seamlessly integrated into editing software widely used by content creators and broadcasters, allowing for effective detection of manipulated content during the editing process. Furthermore, it serves a critical role in screening user-generated content, ensuring that authenticity checks are part of the upload process. By providing a universally accessible platform for deepfake detection, it empowers individuals and organizations alike to verify the legitimacy of videos with ease. Deepfakes represent synthetic media that distort reality, presenting actors and actions that are fabricated. While many deep learning-based detection systems examine raw data to identify inconsistencies and flaws, FakeCatcher takes a different approach by searching for genuine indicators of authenticity within real footage, focusing on the minuscule evidence of human traits—such as the subtle variations in pixel color caused by blood circulation. When the heart pumps, the color of our veins shifts, creating the unique data that FakeCatcher utilizes to distinguish between real and manipulated videos. This innovative detection method signifies a significant leap forward in the fight against deepfake technology.

FaceSeek is an innovative platform that utilizes AI technology to facilitate facial search and recognition, enabling users to authenticate photographs, identify impersonation attempts, and trace the source of images found online. By employing sophisticated facial recognition algorithms, it offers capabilities such as reverse face searching, identity validation, and the detection of deepfake media. This powerful tool enhances online security and helps users navigate the complexities of digital image authenticity.

Utilize AI or Not to quickly identify whether images or audio are generated by artificial intelligence, protecting both your business and personal interests. In mere seconds, you can detect generative AI, thereby minimizing fraud and thwarting the latest scams. Additionally, safeguard music copyrights by determining if an artist's voice has been incorporated into AI-generated audio content. Equip your trust and safety teams with advanced AI content detection capabilities, ensuring precise identification of deepfakes with transparency. Furthermore, bolster identity verification and KYC compliance by protecting against the risks posed by AI-generated synthetic IDs. AI or Not serves as a web platform designed to assist users in swiftly and accurately discerning whether an image originates from AI or human creation, and if the former, it pinpoints the specific AI model utilized. For those needing to analyze multiple images, we provide an API that facilitates bulk analysis and easy integration into existing platforms. While our service allows free analysis for individual images, we also offer a premium API for extensive image assessments and commercial applications. In this rapidly evolving digital landscape, staying informed about the authenticity of content is more crucial than ever.

Deepfake technology poses significant risks by enabling the creation of misleading videos and audio that can confuse audiences and spread false information. Our DeepFake Detector is designed to help you effectively identify and screen out these AI-generated media, ensuring that you can trust the content in critical contexts, such as news reporting and judicial matters. Recognizing the serious implications of deepfakes, we prioritize the need for genuine audio and video content. By utilizing our professional verification services, you can easily distinguish authentic media from misleading fakes. To begin the verification process, simply select a video or audio file for analysis, keeping in mind that files should ideally be a minimum of 8 seconds in duration and free from edits or special effects for optimal accuracy. Once you upload your chosen file, just hit the "detect deepfake" button to initiate the process, and you will receive an assessment indicating the likelihood of the media being a deepfake versus legitimate content. This empowers you to make informed decisions based on the authenticity of the media you are analyzing.

Our innovative system is designed to reveal altered facial characteristics while ensuring the safety of user information. It can either seamlessly integrate with your current infrastructure or function independently as a separate application. Our advanced Multimodal Biometric Authentication system employs a blend of facial, iris, and eye recognition technologies to deliver robust security and maintain user privacy. Mobai originated as a spin-off from the Norwegian University of Science and Technology, leveraging cutting-edge research in the field. The technology is crafted by globally recognized experts specializing in biometric systems and sophisticated attack detection within the information security and communication department. This collaborative effort ensures that our solutions remain at the forefront of security innovations.

Sekoia.io offers a groundbreaking perspective on conventional cybersecurity measures. By leveraging insights into attacker behavior, the platform enhances automated detection and response to threats. This empowers cybersecurity teams, providing them with the upper hand against potential intruders. Through the Sekoia.io Security Operations Center (SOC) platform, users can effectively identify cyber threats, mitigate their effects, and safeguard their information systems in real-time and from all angles. The integration of attacker intelligence and automation within Sekoia.io allows for faster identification, comprehension, and neutralization of attacks, which in turn frees teams to concentrate on more strategic initiatives. Furthermore, Sekoia.io simplifies security management across various environments, delivering detection capabilities that are independent of prior knowledge about the systems being protected, thus streamlining operations and enhancing overall security posture. This comprehensive approach not only reduces complexity but also bolsters resilience against evolving cyber threats.

Achieve extensive security for both on-premises and multi-cloud environments with the integrated firewall designed for cloud operations. The seamless, cloud-based Advanced Threat Protection system identifies and prevents sophisticated threats, such as zero-day vulnerabilities and ransomware assaults. With the support of a worldwide threat intelligence network that gathers data from millions of sources, you can quickly shield yourself from the latest dangers. Today's cyber threats, including ransomware, advanced persistent threats, and targeted attacks, necessitate increasingly advanced defense strategies that effectively balance precise threat detection with swift reaction capabilities. The Barracuda CloudGen Firewall provides an all-encompassing suite of next-generation firewall features to guarantee immediate network defense against a vast array of risks, weaknesses, and exploits, encompassing SQL injections, cross-site scripting, denial of service intrusions, trojans, malware, worms, spyware, and much more. By leveraging these advanced technologies, organizations can significantly enhance their resilience against evolving cyber threats and ensure the integrity of their data.

Lantern is a solution for External Attack Surface Management. It helps organizations identify, monitor and secure exposed assets, before attackers can exploit them. It allows for real-time detection of internet-facing infrastructure and detects vulnerabilities. It also sends instant alerts to security teams, allowing them to reduce their attack surface. Lantern's automated asset discovery, integrated risk scoring and seamless integration with AWS Azure and GCP ensures that public-facing resources are always visible. Lantern alerts users within 30 minutes of a security breach, unlike traditional tools which can take days to detect.

Lakera Guard enables organizations to develop Generative AI applications while mitigating concerns related to prompt injections, data breaches, harmful content, and various risks associated with language models. Backed by cutting-edge AI threat intelligence, Lakera’s expansive database houses tens of millions of attack data points and is augmented by over 100,000 new entries daily. With Lakera Guard, the security of your applications is in a state of constant enhancement. The solution integrates top-tier security intelligence into the core of your language model applications, allowing for the scalable development and deployment of secure AI systems. By monitoring tens of millions of attacks, Lakera Guard effectively identifies and shields you from undesirable actions and potential data losses stemming from prompt injections. Additionally, it provides continuous assessment, tracking, and reporting capabilities, ensuring that your AI systems are managed responsibly and remain secure throughout your organization’s operations. This comprehensive approach not only enhances security but also instills confidence in deploying advanced AI technologies.

Safeguarding websites, the system operates in front of web application servers, establishing firewalls to thwart incoming threats. Ensure Your Website's Security. Available 24/7, it defends against various attack vectors such as SQL Injection, XSS, File Upload, JS Injection, Tamper Data, and more. With instant reporting and straightforward management, users can easily navigate the BEKCHY Panel from their computer, tablet, or smartphone to monitor the status of their website. It secures all input fields—including login, password recovery, and coupon codes—through its Smart Brute Force protection. Additionally, it guards against single-use emails, blacklisted IP addresses, fraudulent redirects, and all forms of deceit. Utilizing 67 distinct antivirus solutions, Bekchy identifies malicious code that may have been injected into the site. This comprehensive protection also guards against any attempts to mislead visitors and search engine crawlers. Thanks to its user-friendly design, accessing the BEKCHY Panel is seamless across various devices, ensuring that users remain informed and in control of their website's security.

Seraphic can protect any browser version on any device from phishing and spear-phishing, clickjacking and man-in-the-middle attacks, as well as Zero-day and unpatched N-Day attacks. This allows your end-users to use any combination of browsers they like, and allows you to centrally manage corporate policy for browsing and enterprise/private apps environments. Seraphic also features robust policy and governance controls, including state-of-the-art DLP engines that scan all outbound and input data in any format for any file. This ensures complete privacy first.

A Web Application Firewall (WAF) serves as a crucial defense mechanism for your website servers by safeguarding them from unauthorized access and intrusions. Our solution effectively identifies and blocks harmful traffic aimed at your websites and applications. By securing your essential business data, WAF also helps in preventing server malfunctions that can arise from malicious activities and cyberattacks. Alibaba Cloud WAF functions as a robust web application firewall that diligently monitors, filters, and restricts HTTP traffic to and from web applications. Leveraging the extensive big data capabilities of Alibaba Cloud Security, it is designed to combat prevalent web threats such as SQL injection, Cross-site scripting (XSS), web shells, Trojans, and unauthorized access, while also mitigating the impact of massive HTTP flood requests. This protection ensures that web resources remain secure and maintains the integrity and availability of your website. In this video, we will demonstrate how to effectively utilize and configure the Web Application Firewall, showcasing its capabilities in action and illustrating how WAF can be an integral part of your website protection strategy. Additionally, we will provide insights into best practices for optimizing your WAF setup for maximum security.

Our comprehensive solution facilitates your global growth by effectively classifying and analyzing identification documents. Combat fraudulent activities with our advanced, multilayer AI-driven forensic toolkit. Access in-depth reports detailing the nature of any identified forgery via our analytics dashboard. Ensure that only users whose facial features align with those on the submitted ID are allowed onboard. Our system is capable of locating and matching a face within a database of a million faces, achieving an impressive accuracy rate of 99.2%. With our passive liveness detection technology, your clients won’t have to take any additional actions in front of the camera. We utilize four distinct analytical methods to examine documents from various angles, empowering your fraud prevention team to detect a wide array of document fraud. Accelerate the document verification process from hours down to mere seconds while gaining actionable insights to assess the risk levels of new clients. Additionally, maintain oversight effortlessly through a straightforward and user-friendly dashboard that keeps all activities in check. This innovative approach ensures a seamless experience for both your team and your clients, enhancing security and efficiency in every transaction.

Symantec Endpoint Security offers the most comprehensive and integrated platform for endpoint security available globally. Whether deployed on-premises, in a hybrid environment, or in the cloud, the unified Symantec solution safeguards all types of endpoint devices, including traditional and mobile, while leveraging artificial intelligence (AI) to enhance security decision-making. The streamlined cloud-based management system facilitates the protection, detection, and response to complex threats aimed at your endpoints. Maintaining uninterrupted business operations is crucial, as compromised endpoints can severely disrupt productivity. By employing innovative techniques for attack prevention and reducing the attack surface, this solution provides robust security throughout the entire attack life cycle, addressing various threats such as stealthy malware, credential theft, fileless attacks, and “living off the land” tactics. Avoiding worst-case scenarios is essential, as full-scale breaches represent a major concern for CISOs. With advanced attack analytics, the platform enables effective detection and remediation of persistent threats, while also preventing the theft of Active Directory credentials, ensuring a secure environment for your organization. Additionally, this comprehensive approach helps organizations stay one step ahead in an ever-evolving threat landscape.

Identify the imperceptible threats and thwart sophisticated attacks effectively. Trellix Network Detection and Response (NDR) empowers your team to concentrate on genuine threats, swiftly contain breaches with intelligence, and eradicate vulnerabilities within your cybersecurity framework. Ensure the protection of your cloud, IoT devices, collaboration platforms, endpoints, and overall infrastructure. Automate your security responses to keep pace with the ever-evolving threat landscape. Seamlessly integrate with various vendors to enhance efficiency by focusing only on the alerts that are significant to you. By detecting and mitigating advanced, targeted, and elusive attacks in real-time, you can significantly reduce the risk of expensive data breaches. Explore how to leverage actionable insights, robust protection mechanisms, and a flexible architecture to bolster your security measures effectively. Additionally, staying ahead of potential threats will allow your organization to maintain a resilient cybersecurity posture.

Protect your APIs from fraud, data breaches, and business interruptions in both web and mobile environments. UltraAPI serves as an all-encompassing security solution meticulously crafted to safeguard your entire API ecosystem, including those that are external. This integrated platform defends against harmful bots and fraudulent activities while also maintaining adherence to regulatory standards. Gain insight into your external API vulnerabilities with our cloud-based security solutions, which provide a perspective of your APIs from an attacker's viewpoint, no matter where they are situated. Our secure API framework consistently uncovers new API endpoints, keeping your security compliance teams well-informed and prepared. Achieve API compliance through real-time visibility, thorough testing, and continuous monitoring of your APIs. UltraAPI simplifies the process of identifying and correcting issues that could lead to data loss or fraud, ensuring compliance with both security and regulatory mandates. Additionally, it effectively detects and mitigates API attacks, providing robust protection for your digital infrastructure against various threats. With UltraAPI, organizations can proactively bolster their defenses while fostering trust in their API usage.

WebOrion Protector Plus is an advanced firewall powered by GPU technology, specifically designed to safeguard generative AI applications with essential mission-critical protection. It delivers real-time defenses against emerging threats, including prompt injection attacks, sensitive data leaks, and content hallucinations. Among its notable features are defenses against prompt injection, protection of intellectual property and personally identifiable information (PII) from unauthorized access, and content moderation to ensure that responses from large language models (LLMs) are both accurate and relevant. Additionally, it implements user input rate limiting to reduce the risk of security vulnerabilities and excessive resource consumption. Central to its robust capabilities is ShieldPrompt, an intricate defense mechanism that incorporates context evaluation through LLM analysis of user prompts, employs canary checks by integrating deceptive prompts to identify possible data breaches, and prevents jailbreak attempts by utilizing Byte Pair Encoding (BPE) tokenization combined with adaptive dropout techniques. This comprehensive approach not only fortifies security but also enhances the overall reliability and integrity of generative AI systems.

Locurity offers a revolutionary, patent-pending 360-degree security platform that operates on a 'zero trust' security model, which is essential for defending the modern enterprise's newly defined identity perimeter. As identity becomes the focal point of enterprise security, it is crucial to safeguard it immediately to effectively counteract the alarming statistic that 81% of all cyber attacks stem from compromised identities, according to the Verizon DBIR. By enabling proactive detection of cyber threats, organizations can thwart attacks before they escalate into damaging breaches, thus ensuring the protection of valuable enterprise assets. Locurity's platform effectively mitigates a wide array of identity and credential-related attacks, including phishing, whaling, hacking, brute force attempts, scraping, social engineering, keylogging, account takeovers, and credential stuffing, among others. With its decentralized architecture, the system eliminates the risk of a centralized honeypot for identity crown jewels, thereby enhancing overall security. In addition to fortifying defenses, Locurity's solution also boosts productivity by reducing the costs associated with login, password, and access-related helpdesk requests, which can be a significant burden for organizations. The platform seamlessly integrates with various applications, including email, VPNs, and popular SaaS services like Office365, GSuite, Salesforce, and Slack, as well as specialized healthcare and finance applications. It employs advanced multi-factor authentication methods, such as biometric options like TouchID and FaceID, along with PIN/pattern security and cutting-edge elliptic curve cryptography, ensuring a robust defense against unauthorized access while fostering a more secure and efficient user

Dark Web Monitoring and Attack Surface Management. ImmuniWeb®, Discovery uses OSINT and our award winning AI technology to illuminate a company's Dark Web exposure and attack surface. This non-intrusive, production-safe discovery is ideal for continuous self-assessment as well as vendor risk scoring to prevent supply-chain attacks.

Armour365, a cutting-edge voice biometrics solution from Gnani.ai, serves as a robust security platform aimed at thwarting fraud, improving customer satisfaction (CSAT), and lowering operational expenses. It boasts a sophisticated fraud detection system that can identify various threats, including anti-spoofing measures, synthetic voices, and replay attacks. The technology accommodates both active and passive biometric methods, requiring merely under one second of spoken input for effective authentication. Additionally, it provides dynamic passphrase options, supports multiple languages and text formats, and integrates effortlessly across various communication channels. Noteworthy advantages of this platform include a reduction in average handling time by more than 60 seconds, an 80% enhancement in fraud detection capabilities, and a boost in CSAT scores exceeding 30%. Moreover, its versatility ensures that organizations can adapt it to their specific needs without compromising security.

Utilizing public cloud services can make workloads vulnerable to unique cloud-native threats that are distinct from those encountered in on-premise settings. To effectively identify and mitigate harmful actions within a cloud infrastructure, Radware offers an extensive suite of Cloud Threat Detection and Response (CTDR) functionalities. This enables organizations to recognize suspicious activities within their cloud environments while also correlating these incidents into cohesive attack narratives, effectively illustrating the sequential development of threats. By presenting this information, Radware empowers organizations to intervene and prevent incidents from escalating into significant data breaches. The platform leverages specialized Malicious Behavior Indicators (MBIs) that are specifically designed to address the unique dangers associated with cloud environments. Additionally, Radware’s capabilities extend beyond mere detection, as it systematically connects individual occurrences over time and across various threat surfaces and resources, forming a comprehensive view of potential attacks. This holistic approach not only helps in recognizing patterns but also enhances an organization's readiness to address emerging threats promptly.

FraudHunt employs an intricate triggering system to evaluate your website visitors and identifies various types of fraudsters that could jeopardize your business operations. Whether you are dealing with issues like the creation of fraudulent accounts, account takeovers, content theft, or financial losses from advertising fraud, FraudHunt is your go-to solution. Notably, over 40% of internet traffic is generated by harmful bots that engage in content theft, spamming, and user impersonation. By effectively recognizing automated and bot-driven attacks, FraudHunt serves as a vital protective measure for your online presence. The tool adeptly identifies a range of evasion tactics, including the use of proxy servers, VPNs, emulations, and alterations to user agent strings. With FraudHunt at your disposal, you will be equipped to respond appropriately to each user interaction. Furthermore, it offers a straightforward integration process that sends unique, fraud-resistant identifiers directly to your Google Analytics account. This capability allows for a rapid comparison of your data against our fraud detection reports, and additional integration features enable you to assess the Fraud Score of every visitor, enhancing your ability to safeguard your business effectively. With these comprehensive tools, you can achieve greater confidence in your website's security and operational integrity.

Comprehensive Safeguarding for Applications and Container Workloads. Immediate Protection Against Zero Day Attacks. The K2 Security Platform excels in identifying increasingly complex threats aimed at applications, often overlooked by traditional network and endpoint security systems such as web application firewalls (WAF) and endpoint detection and response (EDR). K2 offers a user-friendly, non-invasive agent that can be set up in just a few minutes. By employing a deterministic method known as optimized control flow integrity (OCFI), the K2 Platform constructs a runtime DNA map of each application, which is essential for verifying that the application is functioning correctly. This innovative approach leads to highly precise attack detection, significantly reducing false positives. Additionally, the K2 Platform is versatile, capable of being utilized in cloud, on-premise, or hybrid environments, and it effectively safeguards web applications, container workloads, and Kubernetes. Its coverage extends to the OWASP Top 10 and addresses various types of sophisticated attacks, ensuring comprehensive protection for modern digital infrastructures. This multilayered defense strategy not only enhances security but also fosters trust in application reliability.

Compile embeddings from past attacks in a vector database to identify and avert similar threats down the line. Employ a specialized model to scrutinize incoming prompts for potential attack patterns. Incorporate canary tokens within prompts to monitor for any data leaks, enabling the system to catalog embeddings for incoming prompts in the vector database and thwart future attacks. Additionally, preemptively screen for harmful inputs before they reach the model, ensuring a more secure analysis process. This multi-layered approach enhances the overall defense mechanism against potential security breaches.