Hosted by Mark Ehr, Senior Consulting Analyst for 451 Research Advisors and Igor Mezic, Chief Scientist and CTO for MixMode on Tuesday, November 1st at 1pm EST / 10am PST, they will discuss why security analytics needs to include advanced Third-Wave AI, which autonomously learns normal behavior and adapts to constantly changing network environments, to address the next generation of cyberthreats and increase SOC productivity.
October is recognized every year as Cyber Security Awareness Month (CSAM). Starting in 2004, this important awareness month has been a collaboration between The Cybersecurity and Infrastructure Security Agency (CISA) and the National Cybersecurity Alliance (NCA) to lead a collaborative effort between government and industry to raise cybersecurity awareness nationally and internationally.
MixMode, a leading provider of self-learning solutions to detect cyberattacks in real time, announces that Dan “Thor” Thormodsgaard has joined the company as a Strategic Advisor. Thor will apply his 25 years of experience in IT Consulting, of which 19 were in IT Security Consulting, to support MixMode in strategic planning and partnerships.
It’s no surprise that organizations are pouring resources into their security approaches, from investments into hardware and software and significant increases in Cybersecurity professional hiring. In fact, industry watchers expect organizations globally to contribute to $1.75 trillion in cumulative spending on Cybersecurity between 2021 and 2025.
An annual Harvey Nash Group/KPMG survey of CIOs and other IT leaders revealed that companies spent about $15 billion more each week in the early part of 2021 on work-from-home investments, a figure that represents one of the largest upticks in tech investment in history, according to Harvey Nash/KPMG.
The much-anticipated fifth generation (5G) of broadband cellular technology has arrived, ushering in unprecedented network speed and connectivity. The tech is also spurring innovation into new tech solutions to meet an ever-growing appetite for instant, reliable connectivity, often, faster than most enterprise Cybersecurity teams can handle. If there was ever a time for AI to deliver on the promises made by Cybersecurity platform vendors, it’s now.
Monthly reports that lack relevant details about an organization’s true risk level are insufficient and not representative of the further steps an organization should take to protect itself. This approach leaves organizations feeling secure against the threat of ransomware while they are actually left exposed to potentially expensive, wide-scale damage.