Tag Archive for: Detection

Opti9 Launches Standalone Ransomware Detection Platform and Managed Services for Veeam Solutions

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Opti9 Launches Standalone Ransomware Detection Platform and Managed Services for Veeam Solutions

Mar 23, 2023 (PRNewswire via COMTEX) —
PR Newswire

GARDEN CITY, N.Y., March 23, 2023

GARDEN CITY, N.Y., March 23, 2023 /PRNewswire/ — Opti9 Technologies, LLC. (Opti9), a trusted North American managed cloud services provider, announces Observr Software-as-a-Service (SaaS) ransomware detection and standalone managed services – two new standalone service offerings that cater to organizations leveraging Veeam® Software, the leader in Modern Data Protection. Opti9 is a Platinum Veeam Cloud & Services Provider (VCSP) partner and a Veeam Technical Alliance Partner (TAP).

Opti9 launches Observr ransomware detection and managed services for Veeam.

As the complexity of organizations’ IT continues to evolve, technical leaders are increasingly looking to shift ownership to 3rd party experts for critical layers of their stack. This is especially true for components such as backups and disaster recovery, which must provide resilience despite constant changes such as the shift to hybrid clouds and SaaS, application modernization, use of software-defined networking, and the increased risks associated with ransomware and data theft. To address these needs, many organizations turn to managed service providers to consume backups or disaster recovery-as-a-service (BaaS/DRaaS). However, the rigidity and isolated nature of most of these offerings do not address the complexity or risks faced today. Organizations are looking to decouple value-added managed services, as well as critical security monitoring from infrastructure services. Today, Opti9 introduces its standalone offerings for Veeam, which are completely independent of its BaaS and DRaaS services: managed services for Veeam Software and its AI-based ransomware detection and remediation tool, Observr.

“Opti9 has leveraged Veeam’s feature rich API in an innovative and unique way to address the very real security challenges being faced by IT organizations,” says Danny Allan, Chief Technology Officer at Veeam. “Observr…

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Benefits of Real-Time Bot Detection

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For those unaware, the bot revolution is happening right before our eyes. In fact, nearly half of all internet traffic consists of bot traffic. While some of this traffic is considered good bot traffic – think useful bots like web crawlers or AI chatbots for customer service – much of this can be considered bad bot traffic. 

Many of these bad bots are on the hunt for vulnerabilities to exploit, which is why it is imperative that enterprises look to a bot management solution. That said, any bot management solution should prioritize bot detection in real time. After all, if you can’t detect bots first, how can you mitigate them before the damage is done?

Want to learn more about bad bots, but don’t want to read anymore? Watch our video webinar. Beat Bad Bots by Building Cross-Functional Bonds. 

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The rise of bad bots

Malicious bots have become the tool of choice for many cybercriminals. The growth of cybercrime-as-a-service (CaaS) offerings, in which cybercriminals can purchase malicious bots, is fueling their popularity. CaaS provides cybercriminals with sophisticated bots ready-made to commit fraud and other crimes. For instance, a cybercriminal can purchase a malicious bot or botnet for web scraping, distributed denial of service attacks (DDoS) that overwhelm web servers, conduct account takeover (ATO) attacks, or send spam and phishing emails. 

Bots can also be used for inventory scraping or sniping attacks in which a cybercriminal uses bots to purchase a popular item – like sneakers, game systems, or concert tickets – and sell them for upcharge prices online. These instances can frustrate potential customers who have to pay more money for inventory that seems to get gobbled up before they have the chance to make their own purchase. Additionally, bots can be used to leave poor reviews of a company, create fake accounts, or impact conversations about an enterprise on social media. 

Regardless of use, all of these bad bot instances go beyond hurting an enterprise’s bottom line and have the potential to negatively impact an enterprise’s hard-earned brand reputation and…

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Netography Detection Model Release – February 23, 2023

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Netography Detection Model Release – February 23, 2023

 

The Netography Threat Research Team has released its latest detections:

The team creates Netography Detection Models (NDMs) to detect botnets, malware, P2P, data exfiltration, ransomware, phishing, SPAM, DDoS activity and more. These powerful threat and network configuration detection models are included at no additional charge and are continuously refined, with new NDMs being added frequently as threats evolve. There are no packages to download, and no updates to push. All models are completely open, customizable, and transparent to your analysts.  

Netography Detection Model Updates:

social_discourse_detection – This DM detects the use of the social network: “Discourse” on the network. Discourse is modern forum software for businesses and communities. This DM is disabled by default. 

social_instagram_detection – This DM detects the use of the social network: “Instagram” on the network. Instagram is a social media platform that emphasizes photo and video sharing via its mobile app. This DM is disabled by default.

social_linkedin_detection – This DM detects the use of the social network: “LinkedIn” on the network. LinkedIn social media and associated services is a business oriented social media network. This DM is disabled by default.

social_meta_detection — This DM detects the use of the social network: “Meta” on the network. This DM covers Facebook and it’s associated services. This DM is disabled by default.

social_okcupid_detection — This DM detects the use of the social network: “OkCupid” on the network.  OkCupid is an online dating website that uses quizzes and multiple-choice questions to find a match for the user. This DM is disabled by default.

social_reddit_detection — This DM detects the use of the social network: “Reddit” on the network.  Reddit is essentially a web-based bulletin board system that allows posting and commenting on nearly any topic.  This DM is disabled by default.

social_tiktok_detection — This DM detects the use of the social network: “TikTok” on the network. Tiktok social media and associated services are a social media platform primarily…

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EDR: Endpoint Detection and Response

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Endpoint detection and response (EDR) is a security analysis approach that focuses on detecting, analyzing, and responding to malicious activity on endpoints, such as laptops, servers, and mobile devices. It involves continuously monitoring endpoint activity for signs of potential threats, and then using that information to identify, investigate, and respond to those threats in real time.

EDR originated in the early 2010s as a way to address the growing complexity and volume of cyber threats faced by organizations. With the proliferation of cloud computing, mobile devices, and the Internet of Things (IoT), traditional security approaches were no longer sufficient to protect against the full range of threats facing organizations. EDR was developed as a way to provide more visibility and control over endpoint activity, and to enable organizations to respond more quickly to potential threats.

Threat hunters can leverage EDR to identify and investigate potential threats by analyzing endpoint data in real time. This includes analyzing network traffic, process execution, and other endpoint activity for signs of malicious behavior. EDR can also be used to detect and respond to threats that have already infiltrated an organization’s systems, by providing the visibility and context needed to understand the extent of the compromise and take appropriate action. Overall, EDR is an important tool for threat hunters because it provides the real-time visibility and context needed to identify and respond to potential threats, and to continuously improve an organization’s security posture.

The post EDR: Endpoint Detection and Response appeared first on Cyborg Security.

*** This is a Security Bloggers Network syndicated blog from Cyborg Security authored by Cyborg Security. Read the original post at: https://www.cyborgsecurity.com/glossary/edr-endpoint-detection-and-response/

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