This brings AI/machine learning (AI/ML) to the Qualys Cloud Platform to help convert petabytes of highly integrated data into meaningful insights for customers. This acquisition will enable Qualys to leverage its powerful Cloud Platform and its more than 10 trillion data points to uncover behavior patterns including active vulnerability exploitation, identification of advanced network threats, and adaptive risk mitigation across all assets and applications. This dynamic combination of highly integrated security data with machine learning technology will bring predictive and automated reduction of cyber security risk to Qualys customers. "The team and I are delighted to join such an innovative, industry-leading cloud security company," said Nayeem Islam, CEO and co-founder of Blue Hexagon. "Our deep learning-based Network Detection and Response products augment Qualys' massive security data lake with network data and deep learning, enabling enhanced security risk assessment and detection."

Beena Ammanath, executive director of the Deloitte AI Institute, joined the board of trustees at AnitaB.org, the global nonprofit company focused on intersectional gender and pay parity in tech. Ammanath has held leadership positions at HPE, GE, Thomson Reuters, British Telecom and Bank of America and is the founder of the nonprofit organization Humans For AI. "I'm honored to join the distinguished executives and leaders on the AnitaB.org Board of Trustees," said Ammanath. "Throughout my career, I have been passionate about supporting the development of women leaders in the field of technology and I look forward to working with my fellow board members to advance the important work of AnitaB.org." StorMagic, a storage and security products provider, appointed Danial Beer as its chief executive officer. Beer brings more than 25 years of senior management experience in the global software industry. Beer previously held positions as CEO of GFI Software, COO of YOUI Labs Inc., and executive director of both the performance management and M&A divisions of IBM.

WIRE)--Blue Hexagon, a leading agentless cloud-native AI platform, today announces CRN's recognition of Blue Hexagon in the "10 Hottest AI Security Companies You Need to Know." This acknowledgment signifies the work Blue Hexagon has devoted to active and continuous AI-driven cloud security and network threat detection and response (NDR). As the leading cloud security platform, for actionable visibility, real-time threat defense and continuous compliance, this underscores Blue Hexagon's commitment to delivering innovative solutions to customers who need to secure their data, network and workloads in the public cloud. Blue Hexagon's deep learning models automatically analyze millions of traits within payloads, protocols, and headers to identify a wide variety of known and unknown file-based and protocol-based threats, in less than a second. The company's technology can analyze cloud configurations, cloud storage activity, and the entire threat kill chain in real time, without the burden of deploying and managing agents.

Deep Learning Innovator Earns Spot as One of "America's Most Promising Artificial Intelligence Companies" Blue Hexagon, a deep learning and cybersecurity pioneer, announced it has earned a spot on the coveted Forbes AI 50 list. As one of America's most promising artificial intelligence (AI) companies, Blue Hexagon is the only cybersecurity company that relies on deep learning (a subfield of artificial intelligence) 100% of the time for instant, real-time cyber threat detection. Modern malware is more adaptive than ever, and new variants are being created at a rate of more than 4 per second. The Blue Hexagon real-time deep learning platform addresses the limitations of perimeter defenses like intrusion detection systems (IDS) and sandboxes that cannot keep up with the daily onslaught of malicious malware variants. Launched in Q1 2019, the company is first to harness advanced deep learning for network threat protection and is proven to be greater than 99.5% effective in actual customer deployments in identifying attacks.

Much of the progress we've seen in artificial intelligence in the past five years is due to deep learning. Advances in software algorithm models, processing power and dramatically lower costs have put deep learning within reach of more companies, opening the door for broader innovation in products and services, and also supporting the execution of complex business processes. However, the terms artificial intelligence, deep learning and machine learning are often used interchangeably. That can be confusing if you are not aware of the distinction, so this blog clarifies what these terms are. Let's take the example of a security product that is being built to identify threats in Figure 2 below.

Danelle is CMO at Blue Hexagon. She has more than 15 years of experience bringing new technologies to market. Prior to Blue Hexagon, Danelle was VP Marketing at SafeBreach where she built the marketing team and defined the Breach and Attack Simulation category. Previously, she led strategy and marketing at Adallom, a cloud security company acquired by Microsoft. She was also Director, Security Solutions at Palo Alto Networks, driving growth in critical IT initiatives like virtualization, network segmentation and mobility.

Four new malware strains are created every second, and the banking industry is almost 300 times as likely to get attacked by malware as other types of businesses, according to Nayeem Islam, CEO of Blue Hexagon. That's why his deep-learning cybersecurity startup, which has been in stealth mode for a year and a half and officially launched Tuesday, is making financial services one of the primary industries it serves. The company has received $31 million in funding from the venture capital firms Benchmark and Altimeter Capital. Heffernan Insurance is its first public customer. Blue Hexagon uses self-learning technology to catch network threats, Islam said.

Nayeem Islam has spent the last eight years with chipmaker Qualcomm, where he founded its Silicon Valley-based R&D facility, recruited its entire team and oversaw research on all aspects of security, including applying analysis techniques like machine learning on mobile devices and in the network to detect threats early. One of the group's projects, in fact, was focused around on-device machine learning-based malware detection. Now Islam and a group of other former execs -- including from Qualcomm and Amazon, where Islam worked during the late '90s -- have created their own company that we gather is centered around a similar, enterprise-focused premise. Though the company isn't talking, Islam was acknowledged for a paper earlier this year titled "JavaScript Instrumentation for Browser Security" earlier this year. The new outfit, called Blue Hexagon, has notably attracted the attention of Benchmark, too.

Nayeem Islam has spent the last eight years with chipmaker Qualcomm, where he founded its Silicon Valley-based R&D facility, recruited its entire team and oversaw research on all aspects of security, including applying analysis techniques like machine learning on mobile devices and in the network to detect threats early. One of the group's projects, in fact, was focused around on-device machine learning-based malware detection. Now Islam and a group of other former execs -- including from Qualcomm and Amazon, where Islam worked during the late '90s -- have created their own company that we gather is centerd around a similar, enterprise-focused premise. Though the company isn't talking, Islam was acknowledged for a paper earlier this year titled "Javascript Instrumentation for Browser Security" earlier this year. The new outfit, called Blue Hexagon, has notably attracted the attention of Benchmark, too.