Posts under Cyber Threat
We were pleased to present at Google Cloud Next 2018 at the request of Allan Naim, a Kubernetes Engine product manager at Google. In our talk, we highlighted reference architectures for container security and technical demos of attack vectors in the ecosystem. Our talk centered around architectures for FinTech companies running on Google Kubernetes Engine (GKE), but anyone running containers and Kubernetes can leverage the findings we’ll review here. Allan started the discussion with an overview of the Google Cloud products that retail and financial services businesses can use to build rich, tailored, easy-to-operate solutions for their customers.
We’re picking up our coverage of Gartner’s security conference with a continued discussion of the Top 10 Security Projects Gartner recommends you do this year, in prioritized order. In Part I of the discussion, we highlighted Privileged Account Management, CARTA-inspired Vulnerability Management, and Active Anti Phishing. Neil continued his list by highlighting the need for protections like StackRox provides. #4 – Application Control on Server Workloads For this project, Neil emphasized the need to reduce the attack surface and limit certain functions from running on servers.
We’ve been highlighting a number of the talks at Gartner’s security conference last month, including on the value of shifting right with security, risk-prioritized vulnerability guidance, and the principles of continuous security. In this recap, we’ll profile Neil MacDonald’s presentation on the Top 10 Security Projects you should undertake this year. He led off the talk acknowledging we’re never “done” in security, and that it’s futile to try to build perfect security.
In recent blog posts, we’ve been highlighting some of the key takeaways from Gartner’s recent security conference. In the session on the top 10 principles of CARTA (Continuous Adaptive Risk and Trust Assessment), Neil MacDonald highlighted how organizations need to change their security practices to match today’s world. One of the more interesting observations Neil made was that organizations in general have over-invested in preventative measures and they’ve underinvested in the detection and response.
In the seventh video in our demo series, we’ll take a look at StackRox reports. StackRox gives you summary reports for any period of time to help you get a sense of the risk in your environment. In this video, you can see how we provide a number of preset reports, including an overview summary, alerts by severity, top attacks, policy violations, infected applications and services, top vulnerable services and images, and external infection sources.
“Keep Cloud Native Weird.” That was the motto of KubeCon + CloudNativeCon 2017, which I had the opportunity to attend last week in Austin. With the conference attracting more than 4,100 participants, hundreds of technical sessions, new project announcements, and key updates on existing initiatives, it is clear that the cloud native computing revolution continues to accelerate. Here are some of the highlights I found most interesting. KubeCon welcome mural
Machine learning (ML) can be a powerful tool for augmenting the detection efficacy of a cybersecurity solution. Using it effectively means first cutting through the hype and understanding the tangible steps needed to build models with it. The vast majority of enterprise security solutions – from antivirus applications to firewalls to intrusion detection and prevention systems – use (or at least claim to use) ML to detect threats that traditional approaches can’t, in many cases because such threats unfold faster or on a much larger scale than a traditional security solution can process.
In this fourth video of our demo series, I show how our solution gives responders the capabilities to hunt for threats in their environments by looking for malicious indicators. In this video, see how StackRox tracks suspicious events over time and surfaces them if they are used in malicious activity.
On Tuesday, I had the honor of speaking about “Bringing the fight back to your security team,” at Structure Security 2017. My panel was comprised of former U.S. Government cybersecurity leaders who are now in the private sector, helping defend enterprises against attacks. Acknowledging that we’re flooded with breaches – with a record-breaking 4 billion personal records stolen by hackers in 2016 – we discussed strategies to turn the tide.
Earlier this year, the Center for Strategic and International Studies (CSIS) Cyber Policy Task Force published a report that made a number of cybersecurity policy recommendations for the 45th Presidency of the United States. As co-chair of the taskforce, I answered questions from The Hewlett Foundation about our recommendations.* Which of the task force’s recommendations do you think are most critical for the President and his team to focus on in the near term?
At StackRox, we’re thrilled to have the support of Ron Gula, an industry luminary and invaluable mentor to me for the past decade. Ron is a longtime leader in the security community, having started his career at the National Security Agency (NSA) conducting penetration tests of government networks and performing advanced vulnerability research. Ron is also an experienced entrepreneur, CTO, and CEO, as the original author of the Dragon Intrusion Detection System, CTO of Network Security Wizards (acquired by Enterasys Networks), and cofounder of Tenable Network Security, where he served as CEO from 2002-2016.
The last few decades have seen tremendous progress in machine learning (ML) algorithms and techniques. This progress, combined with various open-source efforts to curate implementations of a large number of ML algorithms has lead to the true democratization of ML. It has become possible for practitioners with and without a background in statistical inference or optimization – the theoretical underpinnings of ML – to apply ML to problems in their domain.
Forensics in the age of containers You’ve seen it countless times in television’s most popular dramas: professional investigators descend on the scene of a crime to meticulously record and analyze every detail and clue before anyone else can disrupt the scene. If the crime appears to be related to other ongoing cases, clues are tacked to the peg board back at headquarters. Only once all the pieces have been assembled do patterns emerge.
Why everyone from investors to the C-suite should consider container security Over the past few years, virtually all of the most innovative enterprise firms – from multinational banks like Goldman Sachs, to cutting-edge technology companies like Google – have set out to modernize the way they deliver software applications through containers and microservices architectures. By breaking down large applications into smaller, composable pieces, software developers and those in charge of managing applications have discovered that containers – and the microservices approach they enable – allow for software development that is far more agile, resilient, and efficient than traditional monolithic approaches.
Introduction Container technology has radically changed the way that applications are being developed and deployed. Notably, containers dramatically ease dependency management, so shipping new features or code is faster than ever before. While Docker containers and Kubernetes are great for DevOps, they also present new security challenges that both security practitioners and developers must understand and address with diligence. Docker’s team of security experts has built some valuable security features into the Docker platform over the last several years.
WAF the heck do I do to protect against attacks on my container-based web applications? The hackers who want your organization’s valuable data will invariably target your web applications. Despite the steady increase in distributed denial-of-service (DDoS) attacks and ransomware, web application attacks represent the most common cause of data breaches.1 The vast majority of these attacks are executed by botnets, operated by organized crime2. Their goals: stealing credentials, growing the size of the botnet, and, of course, exfiltrating information that can be used for financial gain.