The world’s largest security conference, RSA, came and went earlier this month at its normal home in the Moscone Center in San Francisco. There was some speculation the show might be canceled due to Verizon, AT&T and IBM pulling out, but the show went on with more than 40,000 people, myself included, coming to learn what’s new in the world of cyber security.

With each new year comes the inevitable flood of articles touting predictions. In the case of ransomware, predictions started to show up by mid-2019. The consensus? Ransomware is going to get worse. Most see ransomware attacks becoming more prevalent and damaging. More entities will be hit more frequently. There are many points to support such theories.

Security staff burnout and overload is a continuing dangerous situation. Security staff cannot look at all the alerts discovering 50% false positives. Security staff sometimes turns off alerts to alleviate alert fatigue. More data does not mean better security, only more work. The mean time to identify and mean time to resolution of security issues is getting longer.

I was fortunate to have been asked by the folks at TMC to moderate this interesting panel at the ITExpo Conference in Ft. Lauderdale last week. The session includes comments on the state of AI and ML in Security as well as what should be done to make threat protection and employee policies more rigorous. Security is a continual process not an event you check off and say you’ve done.

It’s no secret that managing security within enterprises, organizations, and small and medium businesses have become exponentially more complex as more applications and services enter “the mix” in the brave new world of IT-based primarily on cloud and XaaS architectures. By Arti LoftusFebruary 21, 2020 It’s no secret that managing security within enterprises, organizations, and small and medium businesses have become exponentially more complex as more applications and services enter “the mix” in the brave new world of IT-based primarily on cloud and XaaS architectures.

Security provider Stellar Cyber, with the first Open-XDR platform, announced its new Firewall Traffic Analysis (FTA) Application, which supercharges firewalls by analyzing their data to spot undetected anomalies.

Startup Stellar Cyber has teamed with Check Point Software Technologies (NASDAQ: CHKP) in a move that demonstrates a strong market trend toward API-fueled alliances in cybersecurity as well as other cloud-enabled functions.

Security provider Stellar Cyber, with the first Open-XDR security platform, added a User Behavior Analytics (UBA) App to its Security App Store, making it much easier to track threats by specific users.

Stellar Cyber makes Starlight, the first open detection/response (Open-XDR) cybersecurity platform, connecting dots across security infrastructure and automatically responding to attacks wherever they occur.

Security provider Stellar Cyber, with the first Open-XDR security platform, today announced its new Threat-Hunting App Library, which eliminates an analyst's need to use custom queries in order to search for cyber threats or create custom widgets and dashboards to make sense of the data under investigation.

As the volume of cyberattacks grows, security analysts have become overwhelmed. To address this issue, developers are showing more interest in using Machine Learning (ML) to automate threat-hunting. In fact, researchers have tried to implement ML in cybersecurity solutions since the late 1980s, but progress has been slow. Today, ML is showing increasing promise with the advent of Big Data because the quality of information from which ML can learn is improving. However, there is much more to be done.

Security provider Stellar Cyber, with the first Open-XDR security application platform, announced that it has added a new “Data Streaming” Application to its Starlight platform.

Let’s start with some conditionals: First, if you focus on indicators, then detection and response can be preventive (think about it). Second, if you substitute enterprise systems and devices for endpoints, then EDR evolves to XDR (AKA anything-DR). And third, if you have a great security platform, then managed service providers can become managed security service providers. These conditionals effectively introduce Stellar Cyber.

Join us for Stellar Cyber coverage starting at 17:45 seconds, recorded live from the floor of Black Hat 2019 in Las Vegas. This annual cyber security conference covers the aspects of information security. We feature interviews from DHS to the actual hackers themselves. William SIkkens, Jeremy and Gretchen Winkler, Chaz Wellington

There’s a new brand of security information and event management (SIEM) startups that are making moves — and gunning for incumbents including Splunk and IBM. Three in particular, Exabeam, Chronicle, and Stellar Cyber, announced significant deals and product news this past week aimed at displacing the old guard and pulling a bigger piece of the lucrative $124 billion market.

Stellar Cyber, a security analytics vendor, launched Starlight 3.1 as its first unified security analytics platform, using AI and machine learning to detect and thwart attacks.

Shifting Security from Human to Machine Speed The process of automation to move security from human to machine speed is the next frontier in cybersecurity. “Skills shortages, technical complexity and the threat landscape will continue to drive the move to automation and outsourcing,” marketing research firm Gartner says.

Starlight is intended to augment the expertise and activity of human security staff, Senzing Software "hunts for bad guys" in ways that are essentially impossible for humans to duplicate.

A solution that not only has network data but server data, user data, and application data will be better prepared to find breach events because the dataset is more complete.

Jaz Communications has begun to use Starlight, a security solution developed by Silicon Valley based CEO Stella Cyber ​​(Chanmin Liu). The solution uses AI technology to detect network anomalies and security breaches.

A war is raging for cybersecurity talent. Both the government and the private sector are scrambling for talent. Thousands of information-security jobs are going unfilled as the industry in the U.S. struggles with a shortage of properly trained professionals. By one estimate, there will be 3.5 million unfilled cybersecurity jobs by 2021. Author: Dave Barton is Chief Information Security Officer, Stellar Cyber.

On this episode of Silicon Valley Insider host Keith Koo has special guest John Peterson, Chief Product Officer of Stellar Cyber (stellarcyber.ai) an innovative cyber security company using artificial intelligence (AI) and machine learning (ML) to empower SMBs (small and medium sized businesses) to gain access to the same types of advanced security tools that Fortune 500 companies do. John discusses how the founders of Stellar Cyber (formerly named Aella Della) got their start and how their security platform provides a unique approach via their customers' MSSPs (managed security service providers) and their SOCs (security operation centers). John discusses the struggle of any company to managed all of the cyber security tools they use due to resource and budget constraints.

CGTN's Mark Niu spoke to John Peterson, chief product officer at Aella Data, about the growing market of information security.

As attacks become more sophisticated and frequent, the startup Stellar Cyber is fighting back with artificial intelligence and machine learning.

Security analytics provider Stellar Cyber recently closed $13.2 million in series A funding and soon will launch Starlight 3.0, a data-and artificial intelligence (AI)-driven platform for pervasive data collection, breach detection, investigation and response.

Stellar Cyber came out of stealth mode just before this year's RSA Conference. The company's product, Starlight, is billed as a virtual security analyst able to perform a breach detection across massive networks. This week, the company added multi-tenancy to the product in Starlight 2.0

The RSA Conference has become a key venue for cybersecurity vendors to announce new products. Here are a few of the most interesting new tools being shown there. Starlight Key features: Stellar Cyber reckons its Starlight pervasive breach detection system can detect a breach within minutes, rather than days.

Stellar Cyber, which provides artificial intelligence-based cybersecurity solutions for MSSPs and VARs, has introduced the Starlight pervasive breach detection system (PBDS). Starlight unifies collected data and conducts advanced analysis across network infrastructure, according to a prepared statement. It uses advanced machine learning to provide high-fidelity alerts and integrates with existing perimeter defense, security information and event management (SIEM) and traditional cybersecurity solutions.

Stellar Cyber, a security company founded by former Juniper Networks, Fortinet, Barracuda, and Aerohive executives, exited stealth mode with its artificial intelligence-based breach detection platform Starlight. The AI startup will officially launch at RSA Conference later this month. It competes against other cybersecurity startups using AI and machine-learning to automate threat detection and response such as Darktrace, Vectra Networks, ProtectWise, StackRox, and Jask.

Each morning MSSP Alert broadcasts a quick lineup of news, analysis and chatter from across the global managed security services provider, SOC (security operations center) and IT outsourcing ecosystem. Today's MSSP & cybersecurity news involves Stellar Cyber

A new cybersecurity startup founded by execs formerly with Juniper Networks, Fortinet, Barracuda Networks, Cisco and more, has exited stealth mode with the launch of a partner program and a new artificial-intelligence (AI)-driven pervasive breach detection system (PBDS). Stellar Cyber is backed by NetScreen co-founder Feng Deng and his venture firm, Northern Light Venture Capital, as well as various security industry veterans and investors. Its Starlight PBDS unifies collected data and conducts advanced analysis to deliver alerts designed to reduce detection time from months to minutes, and alerting volume from thousands to only a few.