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2023-10-05 06:00:21 | Proofpoint remporte l'innovation en cybersécurité basée sur l'IA de l'année aux prix de percés de cybersécurité 2023 Proofpoint Wins AI-based Cybersecurity Innovation of the Year at the 2023 CyberSecurity Breakthrough Awards (lien direct) |
Je suis ravi de partager cette plate-forme de protection contre les menaces de preuves Aegis a été reconnue comme l'innovation en cybersécurité basée sur l'IA de l'année aux Cybersecurity Breakthrough Awards.Le programme de récompenses est mené par Cybersecurity Breakthrough, une organisation de renseignement indépendante de premier plan qui reconnaît les principales entreprises, technologies et produits sur le marché mondial de la sécurité.
Depuis le dépôt de notre premier brevet d'intelligence artificielle (IA) il y a 20 ans, Proofpoint a été pionnier des applications innovantes de l'IA et de l'apprentissage automatique (ML) pour fournir à nos clients, qui comprennent plus de 85% du Fortune 100, avec des solutions industrielles qui ont été prisesAbordez les principaux risques de cybersécurité auxquels ils sont confrontés aujourd'hui à partir du compromis initial par un attaquant au mouvement latéral et à l'exfiltration des données.L'IA et la ML sont tissées dans notre suite de produits pour offrir aux clients une protection complète et constante en évolution contre un large éventail de menaces.Aujourd'hui, nous exploitons près de deux décennies d'expérience en IA, ML et en science des données dans notre plate-forme d'IA, qui alimente les produits PROVEPPOINT pour aborder efficacement un large éventail de risques de cybersécurité et de conformité.
Les grandes quantités d'alertes de données et d'alertes de sécurité sont confrontées chaque jour est stupéfiante, ce qui conduit à des défis dans l'identification, la priorisation et la réparation des attaques potentielles.Les humains ne peuvent plus évoluer pour sécuriser suffisamment une surface d'attaque au niveau de l'entreprise.L'intégration de l'IA et de la ML dans les solutions de points de preuve réduit la charge de travail sur les analystes de sécurité et les CISO, en particulier pour les organisations réglementées.L'IA et le ML sont intégrées dans notre plate-forme de protection des informations Sigma, et nous utilisons également ML pour classer les informations pour déterminer les informations qui comptent le plus.
ProofPoint Aegis Menace Protection est la seule plate-forme de protection des menaces alimentée par AI / ML à désarmer les attaques avancées d'aujourd'hui avant qu'ils n'atteignent les utilisateurs, y compris les compromis par e-mail (BEC), le phishing, les ransomwares, les menaces de la chaîne d'approvisionnement et plus encore.Notre ensemble de données massifs alimente le graphique de menace NEXUS Pointpoint, qui nous permet de former des modèles pour identifier les anomalies comportementales, des expéditeurs inconnus, des URL ou des sous-domaines inhabituels, des locataires SaaS inhabituels, des écarts sémantiques et plus encore.Depuis son déploiement, nous avons observé une amélioration de 6x de l'efficacité de détection pour les menaces de facturation, pour choisir un exemple représentatif.
Aujourd'hui, l'équipe de laboratoire de Proofpoint se dirige l'application de l'IA et du ML sur nos plateformes de protection.L'équipe est composée de scientifiques des données, d'ingénieurs d'apprentissage automatique, d'ingénieurs de données et de spécialistes des opérations d'apprentissage automatique qui se concentrent sur la meilleure façon de tirer parti de l'IA et de la ML pour améliorer à la fois nos caractéristiques du produit et augmenter nos flux de travail.
Il s'agit du troisième point de preuve consécutif de l'année a été reconnu par la percée de la cybersécurité.En 2021 et 2022, Proofpoint a été nommé le fournisseur global de solutions de sécurité par e-mail de l'année.Un panel de juges évalue des milliers de nominations en fonction des critères suivants: innovation, performance, facilité d'utilisation, fonctionnalité, valeur et impact.Notre série de victoires reflète notre leadership de marché et notre capacité à lutter efficacement contre les acteurs de la menace à travers la chaîne de cyberattaques.
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Threat Cloud | ★★ | |
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2023-10-04 06:00:00 | Arrêt de cybersécurité du mois & # 8211;Phishing du code QR Cybersecurity Stop of the Month – QR Code Phishing (lien direct) |
This blog post is part of a monthly series exploring the ever-evolving tactics of today\'s cyber criminals. Cybersecurity Stop of the Month focuses on the critical first steps in the attack chain-reconnaissance and initial compromise-in the context of email threats. The series is designed to help you understand how to fortify your defenses to protect people and defend data against emerging threats in today\'s dynamic threat landscape. The first two steps of the attack chain: reconnaissance and initial compromise. In our past installments, we have covered supplier compromise, EvilProxy, SocGholish and e-signature phishing. All of these are examples of threats we regularly detect for our customers before they\'re delivered to users. In this post, we explore a recent detection of a phishing attack in which the URL was encoded into a QR code. We\'ll also explore the mechanisms employed by our AI-driven detection stack that ultimately prevented the email from reaching the inbox of its intended target. The scenario Phishing, especially credential phishing, is today\'s top threat. Bad actors constantly devise new methods and tools to gain authenticated access to users\' accounts. This illicit entry often results in financial loss, data breaches and supplier account compromise that leads to further attacks. We recently detected a phishing attack hidden behind a QR code at an agriculture company with more than 16,000 employees. Fortunately, our Aegis platform detected the threats and broke the attack chain. In this scenario, a bad actor crafted a phishing lure purporting to contain completed documentation about the target\'s wages. Instead of including a link for the target to click, the bad actor included a QR code instructing the recipient to scan with their mobile phone\'s camera to review the documentation. Once scanned, a fake SharePoint login screen prompts the user to provide credentials. QR Code phishing represents a new and challenging threat. It moves the attack channel from the protected email environment to the user\'s mobile device, which is often less secure. With QR codes, the URL isn\'t exposed within the body of the email. This approach renders most email security scans ineffective. What\'s more, decoding QR codes using image recognition or optical character recognition (OCR) quickly becomes resource intensive and difficult to scale. The Threat: How did the attack happen? Here is a closer look at how the recent attack unfolded: 1. The deceptive message: An email claiming to contain employee payroll information sent from the organization\'s human resources department. Malicious email blocked by Proofpoint before it was delivered to the user\'s mailbox. (Note: For safety, we replaced the malicious QR code with one linking to Proofpoint.com. The rest of the message is a redacted screenshot of the original.) 2. QR Code Attack Sequence: The recipient is instructed to scan the QR code with their mobile device. Typical QR Code Attack Sequence for Phishing. 3. SharePoint phishing lure: Once the user decodes the URL, a fake SharePoint login screen tries to fool the recipient into entering credentials. Decoded QR code redirecting to an example SharePoint phishing page. Detection: How did Proofpoint detect the attack? QR Code phishing threats are challenging to detect. First, the phishing URL isn\'t easy to extract and scan from the QR code. And most benign email signatures contain logos, links to social media outlets embedded within images and even QR codes pointing to legitimate websites. So the presence of a QR code by itself isn\'t a sure sign of phishing . We employ an advanced blend of signals and layers of analysis to distinguish between weaponized and benign QR codes. We analyze and profile: The sender The sender\'s patterns The relationship of the sender and recipient based on past communication Those clues help identify suspicious senders and whether they are acting in a way that deviates from an established | Tool Threat Cloud | ★★ | |
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2023-09-22 05:00:22 | Nébuleuse: une plate-forme ML de nouvelle génération Nebula: A Next-Gen ML Platform (lien direct) |
Engineering Insights is an ongoing blog series that gives a behind-the-scenes look into the technical challenges, lessons and advances that help our customers protect people and defend data every day. Each post is a firsthand account by one of our engineers about the process that led up to a Proofpoint innovation. Cyber threats are increasing in their frequency and sophistication. And for a cybersecurity firm like Proofpoint, staying ahead of threats requires us to deploy new machine learning (ML) models at an unprecedented pace. The complexity and sheer volume of these models can be overwhelming. In previous blog posts, we discussed our approach to ML with Proofpoint Aegis, our threat protection platform. In this blog, we look at Nebula, our next-generation ML platform. It is designed to provide a robust solution for the rapid development and deployment of ML models. The challenges We live and breathe supervised machine learning at Proofpoint. And we face active adversaries who attempt to bypass our systems. As such, we have a few unique considerations for our ML process: Speed of disruption. Attackers move fast, and that demands that we be agile in our response. Manual tracking of attacker patterns alone isn\'t feasible; automation is essential. Growing complexity. Threats are becoming more multifaceted. As they do, the number of ML models we need escalates. A consistent and scalable modeling infrastructure is vital. Real-time requirements. It is essential to block threats before they can reach their intended targets. To be effective on that front, our platform must meet unique latency needs and support optimized deployment options for real-time inference. In other ML settings, like processing medical radiographs, data is more stable, so model quality can be expected to perform consistently over time. In the cybersecurity setting, we can\'t make such assumptions. We must move fast to update our models as new cyber attacks arise. Below is a high-level overview of our supervised learning process and the five steps involved. A supervised learning workflow, showing steps 1-5. Data scientists want to optimize this process so they can bootstrap new projects with ease. But other stakeholders have a vested interest, too. For example: Project managers need to understand project timelines for new systems or changes to existing projects. Security teams prefer system reuse to minimize the complexity of security reviews and decrease the attack surface. Finance teams want to understand the cost of bringing new ML systems online. Proofpoint needed an ML platform to address the needs of various stakeholders. So, we built Nebula. The Nebula solution We broke the ML lifecycle into three components-modeling, training and inference. And we developed modular infrastructure for each part. While these parts work together seamlessly, engineering teams can also use each one independently. The three modules of the Nebula platform-modeling, training and inference. These components are infrastructure as code. So, they can be deployed in multiple environments for testing, and every team or project can spin up an isolated environment to segment data. Nebula is opinionated. It\'s “opinionated” because “common use cases” and “the right thing” are subjective and hence require an opinion on what qualifies as such. It offers easy paths to deploy common use cases with the ability to create new variants as needed. The platform makes it easy to do the right thing-and hard to do the wrong thing. The ML lifecycle: experimentation, training and inference Let\'s walk through the ML lifecycle at a high level. Data scientists develop ML systems in the modeling environment. This environment isn\'t just a clean room; it\'s an instantiation of the full ML lifecycle- experimentation, training and inference. Once a data scientist has a model they like, they can initiate the training and inference logic in the training environment. That environment\'s strict polici | Threat Medical Cloud | ★★★ | |
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2023-09-19 05:00:12 | Pourquoi les données sur les soins de santé sont difficiles à protéger et quoi faire à ce sujet Why Healthcare Data Is Difficult to Protect-and What to Do About It (lien direct) |
Hospitals, clinics, health insurance providers and biotech firms have long been targets for cyber criminals. They handle data like protected health information (PHI), intellectual property (IP), clinical trial data and payment card data, giving attackers many options to cash in. And as healthcare institutions embrace the cloud, remote work and telehealth, the risks of attacks on this data only increase. Besides outside attackers, insider risk is another concern in an industry where employees face high and sustained levels of stress. And then there\'s the increasing risk of ransomware. In the 2022 Internet Crime Report from the FBI\'s Internet Crime Complaint Center, healthcare was called out as the critical infrastructure industry hardest hit by ransomware attacks. In this blog, we\'ll take a look at some of the information protection challenges faced by the healthcare industry today. And we\'ll look at some solutions. Healthcare data breach costs Not only are data breaches in healthcare on the rise, but the costs for these breaches are high for this industry, too. IBM\'s Cost of a Data Breach Report 2023 says that the average cost of a healthcare data breach in the past year was $11 million. These costs can include: Ransoms paid Systems remediation Noncompliance fines Litigation Brand degradation There\'s a high cost in terms of disruptions to patient care as well. System downtime or compromised data integrity due to cyber attacks can put patients at risk. For example, when Prospect Medical Holdings faced a recent cyber attack, its hospitals had to shut down their IT networks to prevent the attack\'s spread. They also needed to revert to paper charts. The Rhysida ransomware gang claimed responsibility for that attack, where a wealth of data, including 500,000 Social Security numbers, patient files, and legal documents, was stolen. Information protection challenges in healthcare Healthcare firms face many challenges in protecting sensitive data. They include: Insider threats and electronic health record (EHR) snooping What are some insider threats that can lead to data breaches in healthcare? Here\'s a short list of examples: Employees might sneak a peek at the medical records of a famous patient and share the details with the media. Careless workers could click on phishing emails and open the door to data theft. Malicious insiders can sell patient data on the dark web. Departing employees can take valuable research data with them to help along own careers. A growing attack surface due to cloud adoption Most healthcare businesses are increasing their use of cloud services. This move is helping them to improve patient care by making information more accessible. But broad sharing of files in cloud-based collaboration platforms increases the risk of a healthcare data breach. It is a significant risk, too. Proofpoint threat intelligence shows that in 2022, 62% of all businesses were compromised via cloud account takeover. Data at risk across multiple data loss channels When EHRs are housed on-premises, patient records can still be accessed, shared and stored on remote endpoint and cloud-based collaboration and email systems. And as healthcare data travels across larger geographies, protecting it becomes much more of a challenge. How Proofpoint can help Our information protection platform, Proofpoint Sigma, provides unmatched visibility and control over sensitive data across email, cloud, web and endpoints. This unified platform allows healthcare businesses to manage data risk, while saving time and reducing operational costs. We can help protect your data from accidental disclosure, malicious attacks and insider risk. As the healthcare industry continues to adopt remote work and telehealth, there is one particular Proofpoint solution that stands out for its ability to help safeguard data. That\'s Proofpoint Insider Threat Management (ITM). It monitors user and data activity on endpoints. And it allows security teams to detect, investigate and respond to potential data l | Ransomware Data Breach Threat Medical Cloud | ★★ | |
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2023-09-18 05:00:09 | Comment mieux sécuriser et protéger votre environnement Microsoft 365 How to Better Secure and Protect Your Microsoft 365 Environment (lien direct) |
Microsoft 365 has become the de facto standard for email and collaboration for most global businesses. At the same time, email continues to be the most common attack vector for threat actors. And spam, phishing, malware, ransomware and business email compromise (BEC) attacks keep increasing in both their sophistication and impact. Verizon\'s 2023 Data Breach Investigations Report highlights the upward trend BEC attacks, noting that they have doubled over the past year and comprise 60% of social engineering incidents. While Microsoft 365 includes basic email hygiene capabilities with Exchange Online Protection (EOP), you need more capabilities to protect your business against these attacks. Microsoft offers Defender for Office 365 (MDO) as part of its security tool set to bolster security. And it\'s a good place to start, but it simply can\'t stop today\'s most sophisticated email threats. That\'s why analysts suggest you augment native Microsoft 365 security to protect against advanced threats, like BEC and payload-less attacks such as TOAD (telephone-oriented attack delivery). “Supplement the native capabilities of your existing cloud email solutions with third-party security solutions to provide phishing protection for collaboration tools and to address both mobile- and BEC-type phishing scenarios.” Source: 2023 Gartner Market Guide for Email Security The rise of cloud-based email security solutions Email threats are nothing new. For years now, secure email gateways (SEG) have been the go-to solution to stop them. They filter spam, phishing emails and malware before they can get to users\' inboxes. But with more businesses adopting cloud-based email platforms-particularly Microsoft 365-alternative email security solutions have appeared on the market. Gartner calls them integrated cloud email security (ICES); Forrester refers to them as cloud-native API-enabled email security (CAPES). These solutions leave the basic email hygiene and handling of email traffic to Microsoft. Then, they examine the emails that are allowed through. Essentially, they identify threats that have slipped past Microsoft\'s defenses. The main advantage of ICES and CAPES is their ease of deployment and evaluation. They simply require a set of permissions to the Microsoft 365 installation, and they can start detecting threats right away. It\'s easy to remove these solutions, too, making it simple and straightforward to evaluate them. Two deployment models: the good and the bad When you\'re augmenting Microsoft 365 email security, you have several options for deployment. There\'s the post-delivery, API-based approach, which is used by ICES and CAPEs. And there\'s the pre-delivery, MX-based approach used by SEGs. Post-delivery deployment (API-based model) In this scenario, Microsoft provides an API to allow third-party vendors to receive a notification when a new email is delivered to a user\'s mailbox. Then, they process the message with their platform. If a threat is found, it can be deleted or moved to a different folder, like quarantine or junk. However, this approach presents a risk. Because a message is initially delivered to the mailbox, a user still has a chance to click on it until the threat is retracted. Emails must be processed fast or hidden altogether while the solution scans the message for threats. Analyzing attachments for malware or running them through a sandbox is time-consuming, especially for large or complex attachments. There are also limits on how many alerts from Microsoft 365 that cloud-based email security solutions can receive. Pre-delivery deployment (MX-based model) This approach is useful for businesses that want to detect and prevent email threats before they reach their users\' inboxes. As the name suggests, email is processed before it is delivered to a user\'s inbox. To enable this model, an organization\'s DNS email exchange (MX) record must be configured to a mail server. The MX record indicates how email messages should be routed in | Ransomware Data Breach Malware Tool Threat Prediction Cloud | ★★★ | |
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2023-09-14 05:00:42 | Maximiser les soins aux patients: sécuriser le cheval de travail des e-mails des portails de santé, des plateformes et des applications Maximizing Patient Care: Securing the Email Workhorse of Healthcare Portals, Platforms and Applications (lien direct) |
In the modern healthcare industry, healthcare portals, platforms and applications serve as tireless workers. They operate around the clock, making sure that crucial information reaches patients and providers. At the heart of it all is email-an unsung hero that delivers appointment reminders, test results, progress updates and more. Healthcare portals, platforms and applications and many of the emails they send contain sensitive data. That means they are a top target for cyber criminals. And data breaches can be expensive for healthcare businesses. Research from IBM shows that the average cost of a healthcare data breach-$10.93 million-is the highest of any industry. In addition, IBM reports that since 2020 data breach costs have increased 53.3% for the industry. In this post, we explore how a Proofpoint solution-Secure Email Relay-can help healthcare institutions to safeguard patient information that is transmitted via these channels. Healthcare technology in use today First, let\'s look at some of the main types of healthcare portals, platforms and applications that are in use today. Patient portals. Patient portals have transformed the patient and provider relationship by placing medical information at patients\' fingertips. They are a gateway to access medical records, view test results and schedule appointments. And they offer patients a direct line to communicate with their healthcare team. The automated emails that patient portals send to patients help to streamline engagement. They provide useful information and updates that help people stay informed and feel more empowered. Electronic health record (EHR) systems. EHR applications have revolutionized how healthcare providers manage and share patient information with each other. These apps are digital repositories that hold detailed records of patients\' medical journeys-data that is used to make medical decisions. EHR apps send automated emails to enhance how providers collaborate on patient care. Providers receive appointment reminders, critical test results and other vital notifications through these systems. Health and wellness apps. For many people, health and wellness apps are trusted companions. These apps can help them track fitness goals, monitor their nutrition and access mental health support, to name a few services. Automated emails from these apps can act as virtual cheerleaders, too. They provide users with reminders, progress updates and the motivation to stick with their goals. Telemedicine platforms. Telemedicine platforms offer patients access to virtual medical consultations. They rely on seamless communication-and emails are key to that experience. Patients receive emails to remind them about appointments, get instructions on how to join virtual consultations, and more. The unseen protector: security in healthcare emails Healthcare providers need to safeguard patient information, and that includes when they rely on healthcare portals, platforms and applications to send emails to their patients. Proofpoint Secure Email Relay (SER) is a tool that can help them protect that data. SER is more than an email relay. It is a security-centric solution that can ensure sensitive data is only exchanged within a healthcare ecosystem. The solution is designed to consolidate and secure transactional emails that originate from various clinical and business apps. SER acts as a guardian. It helps to ensure that compromised third-party entities cannot exploit domains to send malicious emails-which is a go-to tactic for many attackers. Key features and benefits of Proofpoint SER Here are more details about what the SER solution includes. Closed system architecture Proofpoint SER features a closed-system approach. That means it permits only verified and trusted entities to use the email relay service. This stringent measure can lead to a drastic reduction in the risk associated with vulnerable or compromised email service providers. No more worrying about unauthorized users sending emails in your business\'s name. Enhanced security contro | Data Breach Tool Medical Cloud | ★★ |
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