There will be a ransomware attack on businesses every 14 seconds by the end of 2019 . Every 40 seconds, one of those attacks will prove successful , with devastating effects ranging from permanent loss of irreplaceable data to life-threatening interruptions to patient care. In years past, expert malware authors packaged up their know-how into costly exploit kits sold on the underground market. Cyber criminals had to recover high upfront costs before launching a campaign and realizing a profit. Today, ransomware-as a-service groups like Satan make it easier than ever before for would-be cyber criminals with minimal technical skills to launch attacks, offering free ransomware toolkits and hands-on help to manage campaigns and extort payments. Read our white paper to learn how CylancePROTECT® prevents Petya, Goldeneye, WannaCry, Satan, and many more from executing, with machine learning models dating back to September 2015, long before the ransomware first appeared in the wild.
There is now broad consensus among security professionals that artificial intelligence (AI) technologies can play an important role in reducing cyber risks. Exactly what that role is, however, and how it will evolve over time remains unclear for respondents to a new SANS Institute research study sponsored by BlackBerry Cylance. Opinions varied about the maturity of AI, its benefits and risks, and the baseline requirements for an AI-enabled security solution. Download the report today for the complete survey results and learn: 1) How perceptions of AI vary across industry sectors and organizational roles and responsibilities; 2) How AI technologies compare and contrast with human intelligence; 3) How machine learning is driving advances in the field; 4) What respondents believe to be the greatest risks and benefits of AI; and, 5) The most significant barriers to broader AI adoption.
When Daniel Shuler joined Phoenix Children’s Hospital (PCH) as CISO in 2016, he knew the hospital would be a tempting target for cyber criminals due to the massive troves of sensitive data it collects to diagnose and treat patients. Over the next three years, Shuler spearheaded a complete overhaul of PCH’s security fabric. First, he decommissioned the legacy AV and engaged BlackBerry Cylance’s ThreatZERO™ consultants to deploy CylancePROTECT® on over 4,000 endpoints. Soon after, CylancePROTECT stopped a ransomware attack that could have disrupted patient care by preventing access to electronic medical record data. Next, he engaged a BlackBerry Cylance Red Team to perform annual penetration testing assignments. Says Shuler, “Our relationship is unique in my experience. BlackBerry Cylance has proven repeatedly that they have our best interests at heart and that they share our commitment to provide the best care possible for children and their families.” Read the case study for the full s
“More than 70 percent of cyber attacks target small businesses," according to National Cyber Security Alliance estimates. That’s not surprising when you consider how many small and medium-sized businesses (SMBs) still rely on legacy AV tools despite their repeated failures to stop modern malware, ransomware, and zero-day attacks. Legacy AV is a lose-lose-lose proposition for SMBs. Attacks get through and cause damage. IT staff struggle to keep up with endless signature file updates from their AV vendors. End-users complain about sluggish system performance during scans and signature file updates. Fortunately, next-generation solutions are now available that protect endpoints with artificial intelligence (AI) rather than signatures. Ready to learn more? Then read the new eSecurity Planet executive brief sponsored by BlackBerry Cylance.
Artificial intelligence (AI) has become the buzzword du jour for endpoint protection platform (EPP) vendors struggling to remain relevant in a rapidly changing threat landscape. Why does one EPP prevent breaches while another only facilitates incident response? BlackBerry Cylance’s new eBook cuts through the noise with a concise analysis of AI’s role in cyber defense and the four key criteria for evaluating EPP investments. Read the BlackBerry Cylance eBook to learn more.
“More than 70 percent of cyber attacks target small businesses," according to a National Cyber Security Alliance estimate. Yet 68 percent of small business owners in a recent survey seemed oblivious to the threat. Why the disconnect? What should they be doing to protect their business-critical systems and data? How can small businesses wring maximum value from their cybersecurity investments? Where do AI-based endpoint protection, detection, and response platforms fit into the mix? Read this BlackBerry Cylance sponsored white paper, Small Organizations Still Need Big Security, to find out.
Streamline your endpoint security stack and your team's workload with predictive, AI based, pre-execution malware protection plus prevention based EDR. CylancePROTECT combined with CylanceOPTICS = real-time, predictive threat prevention.
Artificial intelligence and machine learning approaches provide radically new and improved endpoint protection. But not all companies' claims of using machine learning add up to a threat prevention strategy. Know the difference."
The cyberattacks of 2017 proved more numerous, sophisticated, and ruthless than in years past. Threat actors, armed with knowledge stolen from the CIA and tools lifted from the NSA, demonstrated an elevated level of proficiency. WannaCry and NotPetya, two prominent threats from last year, successfully exploited these stolen assets in their assault on systems worldwide. As 2017 progressed, new opportunities developed in ransomware-as-a-service (RaaS), opening the gates of malware-for-profit to everyone. Advancements in fileless attacks provided new ways for threats to hide from once reliable detection methods. Malware features such as polymorphism continued to play a powerful role in evading traditional defenses. The victims of cybercrime ranged from private businesses to the fundamental practices of democracy. France and the United States saw significant data breaches during their recent presidential elections. Several high-profile companies lost their customers’ personally identifiable information to cyberattacks, blemishing their brands and costing them untold millions in recovery operations. This report contains an overview of the threat trends and malware families Cylance's customers faced in 2017. This information is shared with the goal of assisting security practitioners, researchers, and individuals in our collective battle against emerging and evolving cyberthreats.
Artificial intelligence (AI) seems to be on everyone’s mind. It powers natural language recognition within voice-powered assistants like Siri and Alexa, beats world-class Go players, and enables hyper-targeted e-commerce and content recommendations across the web, as we see with Amazon and Netflix. But recently, AI has begun actively expanding its footprint within the enterprise. Executives are trying to more fully comprehend what AI is and how they can use its insights into their data to better capitalize on business opportunities. This additional information can enable engaging with customers more productively and efficiently, forming an edge against the competition. Read more in our AI survey summary.
Cylance commissioned AV-TEST to perform an advanced threat prevention test of enterprise endpoint protection software. The testing methodology was jointly developed to provide additive testing to the commodity antivirus protection tests currently produced by AV-TEST. CylancePROTECT® was tested against five competitor endpoint products from Kaspersky, McAfee, Sophos, Symantec, and Trend Micro. The tests were performed in December 2016 and January 2017. This report contains the results of four test cases. The primary goal was to show the detection and prevention capabilities of new and unknown malicious executables. Read more in the AV-TEST report.
During NSS Labs’ 2018 Advanced Endpoint Protection (AEP) Group Test, CylancePROTECT® and CylanceOPTICS™ v2.0.1450 failed to initiate part of the CylanceOPTICS engine, which primarily impacted the exploit and blended threats test categories. This affected the Cylance® position on the Security Value Map (SVM)™. After working closely with NSS, Cylance rolled out a new version of its software (v2.2.1011) for CylanceOPTICS. Cylance submitted this updated product for follow-on testing using the AEP Test Methodology v2.0, the same methodology used in the AEP Group Test. The product improved its Block Rate by 6.9% and its Additional Detection Rate by 0.2%. Learn more about the results in the NSS Labs testing report.
When selecting a new cybersecurity vendor, Cylance® recommends that you review your options carefully. Here are 4 things to consider before making a selection: Effectiveness, Simplicity, Performance, Vendor Viability. See the infographic for more details.
With cybercriminals threatening nations globally, cybersecurity is taking a front seat in many regions. Most notably, the European Union (EU) has adopted regulations to combat the threats. Against the backdrop of increasingly sophisticated cyberattacks, the EU has set forth rules and procedures for enhanced cybersecurity, along with penalties for noncompliance, in the form of the General Data Protection Regulation (GDPR). This new body of mandated policies and procedures aims to protect EU member personal information collected and/or stored by organizations. Read more in the GDPR business brief.