Download PDF version Contact company

ExtraHop announces Reveal(x) Summer 2018, setting the bar for Network Traffic Analytics at enterprise scale. This release includes capabilities designed to modernize enterprise security operations with critical asset behavior analysis that instantly surfaces the highest-risk threats, even those hiding within encrypted traffic. With this high-fidelity insight, security operations teams can zero in on critical threat patterns and investigate down to the root cause in seconds, not days.

Between 2017 and 2018, threat dwell time in the enterprise increased to 101 days, according to FireEye's M-Trends 2018 Report. The Verizon Data Breach Investigations Report noted, "In many cases, it's not even the organization itself that spots the breach—it's often a third party, like law enforcement or a partner. Worst of all, many breaches are spotted by customers."

The Reveal(x) Summer 2018 release significantly reduces dwell time by highlighting late stage attack activities

Real-Time Visibility, High-Fidelity Insight

The Reveal(x) Summer 2018 release significantly reduces dwell time by highlighting late stage attack activities, shining light on the "darkspace" in the enterprise – the hard-to-reach areas of the network along the East-West corridor. Through comprehensive network traffic analytics, Reveal(x) delivers real-time visibility and high-fidelity insight into threats to your critical assets throughout the hybrid enterprise. The "headlines" dashboard prioritises speed and accuracy, eliminating the fake news fire drills from other tools by highlighting the highest-risk detections correlated with external and industry threat intelligence. Other key features in the Summer 2018 release include:

  • TLS 1.3 Support: As of 2017, forty-one percent of cyber attacks’ used encryption to evade detection, so the ability to detect threats within encrypted traffic is even more critical. With the release, Reveal(x) is the only solution that offers out-of-band decryption at up to 100 Gbps and supports the requirements of the TLS 1.3 protocol as well as decryption of perfect forward secrecy.
  • Need-to-Know Decryption: Respect for privacy is simple now that authorized threat hunters and forensic investigators can be given rights to look inside suspicious packets for authoritative evidence (including content and user information), while other analysts only see the detections and metadata insights gleaned from the decrypted traffic.
  • Network Privilege Escalation Detection: Reveal(x) identifies changes to behavior that indicate an attacker has compromised a device, escalated access rights, and is using these higher privileges to explore and attack within the enterprise. Reveal(x) now infers escalation attempts on critical assets automatically based on changes in device behavior, commands, and protocol use, enabling detection of attacks underway and allowing SecOps teams to contain them before damage is done.

Reveal(x) now automatically correlates device behavior against peer devices for more precise assessment of anomalous behavior

  • Peer Group Anomaly Detection: Reveal(x) now automatically correlates device behavior against peer devices for more precise assessment of anomalous behavior, leveraging auto-discovery and classification of critical assets. This strong outlier validation improves insider threat and compromised host detection and enriches Reveal(x) investigative workflows with critical asset context that helps SecOps collaborate with IT teams controlling endpoints and data centers.
  • Threat Feed Integration: The release ingests Structured Threat Information Expression (STIX) formatted threat intelligence that contains suspect URIs, hosts, or IP addresses, and highlights correlations with detections from network traffic. SecOps teams can use STIX feeds in Reveal(x) or a secondary feed can be added for depth of intelligence. Analysts can confirm details within the workflow via easy access to enriched data and more easily retrace attack interactions that involve external actors, including Command and Control and exfiltration activities.
  • Third Party Integrations: Enterprise Security Operations teams need to partner with other IT teams and their tools to accomplish evaluation, scoping, containment, and mitigation within approved processes. ExtraHop's REST APIs provide formal integrations for automated interaction with premier threat intelligence, investigation, and response platforms including Anomali, Palo Alto Networks, Phantom, ServiceNow, and Splunk. These two-way integrations inject definitive Reveal(x) insights and wire data into other tools and let Reveal(x) interact as part of investigation and response workflows, including forensic packet analysis.

At ExtraHop we've spent years developing technology that can analyze the entire network in real time"

Reliable Security Infrastructure

"Today's threat actors are taking advantage of vast attack surfaces that extend across every endpoint from the branch office to the datacenter or the cloud and too often they operate unnoticed," said Jesse Rothstein, CTO and co-founder, ExtraHop. "At ExtraHop we've spent years developing technology that can analyze the entire network in real time – every critical asset and every transaction so that there are no blind spots. With Reveal(x) Summer 2018, we've applied that deep domain expertise to security operations, closing the visibility gap and surfacing the accurate, targeted information that allows SecOps teams to act quickly and with confidence."

"Security operations centers (SOCs) manage the business of security – maintaining a reliable security infrastructure, sorting through critical informational events and alerts, and working across the IT organization to fix security problems," said Eric Ogren, Senior Analyst at 451 Research. "Network traffic analytics are poised to play a pivotal role in modernizing security operations. ExtraHop Reveal(x) is a pioneer of this emerging market segment with the ability to deliver broad network visibility, prioritization of critical assets, and advanced behavioral analytics to reduce and possibly eliminate the dark space within the enterprise."

Share with LinkedIn Share with Twitter Share with Facebook Share with What's App Share with Facebook
Download PDF version Download PDF version

In case you missed it

What You Need To Know About Open Source Intelligence (OSINT) For Emergency Preparedness?
What You Need To Know About Open Source Intelligence (OSINT) For Emergency Preparedness?

Have you ever stopped to consider the volume of new data created daily on social media? It’s staggering. Take Twitter, for instance. Approximately 500 million tweets are published every day, adding up to more than 200 billion posts per year. On Facebook, users upload an additional 350 million photos per day, and on YouTube, nearly 720,000 hours of new video content is added every 24 hours. While this overwhelming volume of information may be of no concern to your average social media user posting updates to keep up with family and friends, it’s of particular interest to corporate security and safety professionals who are increasingly using it to monitor current events and detect potential risks around their people and locations—all in real-time. Meet the fast-paced and oft-confusing world of open-source intelligence (OSINT). What is Open Source Intelligence (OSINT)? The U.S. Department of State defines OSINT as, “intelligence that is produced from publicly available information and is collected, exploited, and disseminated promptly to an appropriate audience to address a specific intelligence requirement.” The concept of monitoring and leveraging publicly available information sources for intelligence purposes dates back to the 1930s. The British Broadcast Corporation (BBC) was approached by the British government and asked to develop a new service that would capture and analyze print journalism from around the world. Monitoring and identifying potential threats Originally named the “Digest of Foreign Broadcast, the service (later renamed BBC Monitoring which still exists today) captured and analyzed nearly 1.25 million broadcast words every day to help British intelligence officials keep tabs on conversations taking place abroad and what foreign governments were saying to their constituents. OSINT encompasses any publicly accessible information that can be used to monitor and identify potential threats Today, OSINT broadly encompasses any publicly accessible information that can be used to monitor and identify potential threats and/or relevant events with the potential to impact safety or business operations. The potential of OSINT data is extraordinary. Not only can it enable security and safety teams to quickly identify pertinent information that may pose a material risk to their business or people, but it can also be captured by anyone with the right set of tools and training. OSINT for cybersecurity and physical threat detection Whether it be a significant weather event, supply chain disruptions, or a world health crisis few saw coming, the threats facing organizations continue to increase in size and scale. Luckily, OSINT has been able to accelerate how organizations detect, validate, and respond to these threats, and it has proved invaluable in reducing risk and informing decision-making – especially during emergencies. OSINT is typically shared in real-time, so once a situation is reported, security teams can then work on verifying critical details such as the location or time an incident occurred or provide the most up-to-date information about rapidly developing events on the ground. They can then continue to monitor online chatter about the crisis, increasing their situational awareness and speeding up their incident response times. OSINT applications OSINT can help detect when sensitive company information may have been accessed by hackers  Severe weather offers a good example of OSINT in action. Say an organization is located in the Great Plains. They could use OSINT from sources like the National Weather Service or National Oceanic and Atmospheric Administration (NOAA) to initiate emergency communications to employees about tornado warnings, high winds, or other dangerous conditions as they are reported. Another common use case for OSINT involves data breaches and cyber-attacks. OSINT can help detect when sensitive company information may have been accessed by hackers by monitoring dark web messaging boards and forums. In 2019, T-Cellphone suffered a data breach that affected more than a million customers, but it was able to quickly alert affected users after finding their personal data online. OSINT is a well-established field with countless applications. Unfortunately, in an ever-changing digital world, it’s not always enough to help organizations weather a crisis. Why OSINT alone isn’t enough? One of the core challenges with leveraging OSINT data, especially social media intelligence (SOCMINT), is that much of it is unstructured and spread across many disparate sources, making it difficult to sort through, manage, and organize. Consider the social media statistics above. Assuming a business wanted to monitor all conversations on Twitter to ensure all relevant information was captured, it would need to both capture and analyze 500 million individual posts every day. Assuming a trained analyst spent just three seconds analyzing each post, that would amount to 1.5 billion seconds of labor—equivalent to 416,666 hours—just to keep pace. While technology and filters can greatly reduce the burden and help organizations narrow the scope of their analysis, it’s easy to see how quickly human capital constraints can limit the utility of OSINT data—even for the largest companies. Challenges with OSINT OSINT data collection includes both passive and active techniques, each requiring a different level of effort and skill Additionally, collecting OSINT data is time-consuming and resource-intensive. Making sense of it remains a highly specialized skill set requiring years of training. In an emergency where every second count, the time required to sift through copious amounts of information takes far longer than the time in which an organization must take meaningful action to alter the outcome. Compounding the issue, OSINT data is noisy and difficult to filter. Even trained analysts find the need to constantly monitor, search, and filter voluminous troves of unstructured data tedious. Artificial intelligence and machine learning have helped weed through some of this data faster, but for organizations with multiple locations tasked with monitoring hundreds or thousands of employees, it’s still a challenging task. Adding to the complexity, collecting OSINT data isn’t easy. OSINT data collection includes both passive and active techniques, each requiring a different level of effort and skill. Passive vs Active OSINT Passive OSINT is typically anonymous and meant to avoid drawing attention to the person requesting the information. Scrolling user posts on public social media profiles is a good example of passive OSINT. Active OSINT refers to information proactively sought out, but it often requires a more purposeful effort to retrieve it. That may mean specific login details are needed to access a website where information is stored. Lastly, unverified OSINT data can’t always be trusted. Analysts often encounter false positives or fake reports, which not only take time to confirm accuracy, but if they act on misinformation, the result could be damage to their organization’s reputation or worse. So, how can companies take advantage of it without staffing an army of analysts or creating operational headaches? A new path for OSINT Organisations can leverage the benefits of OSINT to improve situational awareness and aid decision-making Fortunately, organizations can leverage the benefits of OSINT to improve situational awareness and aid decision-making without hiring a dedicated team of analysts to comb through the data. By combining OSINT data with third-party threat intelligence solutions, organizations can get a cleaner, more actionable view of what’s happening in the world. Threat intelligence solutions not only offer speed by monitoring for only the most relevant events 24/7/365, but they also offer more comprehensive coverage of a wide range of threat types. What’s more, the data is often verified and married with location intelligence to help organizations better understand if, how, and to what extent each threat poses a risk to their people, facilities, and assets. In a world with a never-ending stream of information available, learning how to parse and interpret it becomes all the more important. OSINT is a necessary piece to any organization’s threat intelligence and monitoring system, but it can’t be the only solution. Paired with external threat intelligence tools, OSINT can help reduce risk and keep employees safe during emergencies and critical events.

Baltimore Is The Latest U.S. City To Target Facial Recognition Technology
Baltimore Is The Latest U.S. City To Target Facial Recognition Technology

The city of Baltimore has banned the use of facial recognition systems by residents, businesses and the city government (except for police). The criminalization in a major U.S. city of an important emerging technology in the physical security industry is an extreme example of the continuing backlash against facial recognition throughout the United States. Facial recognition technology ban Several localities – from Portland, Oregon, to San Francisco, from Oakland, California, to Boston – have moved to limit use of the technology, and privacy groups have even proposed a national moratorium on use of facial recognition. The physical security industry, led by the Security Industry Association (SIA), vigorously opposed the ban in Baltimore, urging a measured approach and ‘more rational policymaking’ that preserve the technology’s value while managing any privacy or other concerns. Physical security industry opposes ban In such cases, it is local businesses and residents who stand to lose the most" “Unfortunately, an outright ban on facial recognition continues a distressing pattern in which the clear value of this technology is ignored,” said SIA’s Chief Executive Officer (CEO) Don Erickson, adding “In such cases, it is local businesses and residents who stand to lose the most.” At the national level, a letter to US President Biden from the U.S. Chamber of Commerce Coalition asserts the need for a national dialog over the appropriate use of facial recognition technology and expresses concern about ‘a blanket moratorium on federal government use and procurement of the technology’. (The coalition includes Security Industry Association (SIA) and other industry groups.) The negativity comes at a peak moment for facial recognition and other biometric technologies, which saw an increase of interest for a variety of public and business applications, during the COVID-19 pandemic’s prioritization to improve public health hygiene and to promote ‘contactless’ technologies. Prohibition on banks, retailers and online sellers The ordinance in Baltimore prohibits banks from using facial recognition to enhance consumer security in financial transactions. It prevents retailers from accelerating checkout lines with contactless payment and prohibits remote online identity document verification, which is needed by online sellers or gig economy workers, according to the Security Industry Association (SIA). At a human level, SIA points out that the prohibition of facial recognition undermines the use of customized accessibility tools for disabled persons, including those suffering with blindness, memory loss or prosopagnosia (face blindness). Ban out of line with current state of facial recognition Addressing the Baltimore prohibition, the Information Technology and Innovation Foundation reacted to the measure as ‘shockingly out of line with the current state of facial recognition technology and its growing adoption in many sectors of the economy’. Before Baltimore’s decision to target facial recognition, Portland, Oregon, had perhaps the strictest ban, prohibiting city government agencies and private businesses from using the technology on the city’s grounds. San Francisco was the first U.S. city to ban the technology, with Boston, Oakland; Cambridge, Massachusetts; and Berkeley, California, among others, following suit. Police and federal units can use biometrics Unlike other bans, the Baltimore moratorium does not apply to police uses Unlike other bans, the Baltimore moratorium does not apply to police uses, but targets private uses of the technology. It also includes a one-year ‘sunset’ clause that requires city council approval for an extension. The measure carves out an exemption for use of biometrics in access control systems. However, violations of the measure are punishable by 12 months in jail. The law also establishes a task force to evaluate the cost and effectiveness of surveillance tools. Transparency in public sector use of facial recognition Currently, the state of Maryland controls the Baltimore Police Department, so the city council does not have authority to ban police use of facial recognition, which has been a human rights concern driving the bans in other jurisdictions. A measure to return local control of police to the city could pass before the year lapses. SIA advocates transparency in public-sector applications of facial recognition in identity verification, security and law enforcement investigative applications. SIA’s CEO, Don Erickson stated, “As public sector uses are more likely to be part of processes with consequential outcomes, it is especially important for transparency and sound policies to accompany government applications.”

What Are The Security Challenges Of Protecting Critical Infrastructure?
What Are The Security Challenges Of Protecting Critical Infrastructure?

Many of us take critical infrastructure for granted in our everyday lives. We turn on a tap, flip a switch, push a button, and water, light, and heat are all readily available. But it is important to remember that computerized systems manage critical infrastructure facilities, making them vulnerable to cyber-attacks. The recent ransomware attack on the Colonial Pipeline is an example of the new types of threats. In addition, any number of physical attacks is also possibilities. We asked this week’s Expert Panel Roundtable: What are the security challenges of protecting critical infrastructure?