Do you worry over work decisions? Do you negatively compare your work to others? Chances are you’ve experienced imposter syndrome. And you’re far from alone — 90% of women in the UK experience it too. As Kim Diep from Trainline mentioned at Code Fest: “No matter what level you are in, in your tech career, I think everyone has some moments of self-doubt where they feel like they’re not good enough.” When you feel insecure, it’s easy to bottle those feelings up and keep your head down. To combat this, step out of your comfort zone and face these insecurities head-on. Remember, you were hired because of skills, talent and experience — not by luck! You don’t have to dive straight into delivering your next company all-hands. However, trying something as simple as active participation in meetings can help boost confidence. ... Whether you’re looking to transition into a tech-based career or have worked in the industry for years, mentors are an invaluable source of wisdom, experience and relationships. Look to your managers for advice — that’s what they are there for. Join webinars or virtual events, ask questions and don’t be afraid to drop someone you admire a friendly LinkedIn note to see if they’d be up for sharing any tips.
FinOps is the operating model for the cloud. FinOps enables a shift — a combination of systems, best practices, and culture — to increase an organization’s ability to understand cloud costs and make tradeoffs. In the same way that DevOps revolutionized development by breaking down silos and increasing agility, FinOps increases the business value of cloud by bringing together technology, business, and finance professionals with a new set of processes. Simply put, FinOps applies the same principles of DevOps to financial and operational management of cloud assets and infrastructure. Ideally, this means managing those assets through code rather than human interventions. To do this effectively, a FinOps practitioner must understand the patterns of both customer usage and product requirements, and map those correctly to maximize value while continuing to optimize for customer experience. ... When we started our FinOps project, all we had to work with were flat data files that lacked key information. With these flat files, we had no easy means of attributing dollar values to specific projects or research deployments. Needless to say, this was a nightmare.
First and foremost, businesses must have a clear idea of exactly what they want to replace with machines. If you shoot for the moon before understanding gravity, you're not going to get very far. When it comes to building AI-powered platforms, you have to build up to solving the big-picture problem by first automating lots of small functions and tasks. Often, businesses automate the wrong things and end up creating technology that is unable to deliver on its promise. Start by studying the industry to understand the most mundane, time-consuming, human-intensive or manual processes of a task or function; focus on areas like repetitive tasks, data entry, common requests, etc. This is where your automation work should begin. It is paramount that the foundational elements of an AI-powered platform are consistently operating with 100% accuracy before moving on to building the next layer of automation. ... It's a given you need to hire strong data scientists and technologists experienced in AI, machine learning and natural language processing, and many businesses are following this protocol: Job postings for AI-related roles grew 14% year over year prior to the Covid-19 outbreak in early March 2020.
At its core, risk management refers to a company’s ability to identify, monitor and mitigate potential risks, while compliance processes are meant to ensure that it operates within legal, internal and ethical boundaries. These are information-intensive activities – they require collecting, recording and especially processing a significant amount of data and as such are particularly suited for deep learning, the dominant paradigm in AI. Indeed, this statistical technique for classifying patterns – using neural networks with multiple layers – can be effectively leveraged for improving analytical capabilities in risk management and compliance. ... early experience shows that AI can create new types of risks for businesses. In hiring and credit, AI may amplify historical bias against female and minority background applicants, while in healthcare it may lead to opaque decisions because of its black box problem, to name just a few. These risks are amplified by the inherent complexity of deep learning models which may contain hundreds of millions of parameters. This encourages companies to procure third-party vendors’ solutions about which they know little of the inner functioning.
Much like "normal" firewalls, a WAF is expected to block certain types of traffic. To do this, you have to provide the WAF with a list of what to block. As a result, early WAF products are very similar to other products such as anti-virus software, IDS/IPS products, and others. This is what is known as signature-based detection. Signatures typically identify a specific characteristic of an HTTP packet that you want to allow or deny. ... Signatures work pretty well but require a lot of maintenance to ensure that false positives are kept to a minimum. Additionally, writing signatures is often more of an art form rather than a straightforward programming task. And signature writing can be quite complicated as well. You're often trying to match a general attack pattern without also matching legitimate traffic. To be blunt, this can be pretty nerve-racking. ... In the brave new world of dynamic rulesets, WAFs use more intelligent approaches to identifying good and bad traffic. One of the "easier" methods employed is to put the WAF in "learning" mode so it can monitor the traffic flowing to and from the protected web server. The objective here is to "train" the WAF to identify what good traffic looks like.
The fundamental problem comes from the fact that negotiation of HTTP-related parameters (such as whether HTTPS or HTTP/3 can be used) is done through HTTP itself (either via a redirect, HSTS and/or Alt-Svc headers). This leads to a chicken and egg problem where the client needs to use the most basic HTTP configuration that has the best chance of succeeding for the initial request. In most cases this means using plaintext HTTP/1.1. Only after it learns of parameters can it change its configuration for the following requests. But before the browser can even attempt to connect to the website, it first needs to resolve the website’s domain to an IP address via DNS. This presents an opportunity: what if additional information required to establish a connection could be provided, in addition to IP addresses, with DNS? That’s what we’re excited to be announcing today: Cloudflare has rolled out initial support for HTTPS records to our edge network. Cloudflare’s DNS servers will now automatically generate HTTPS records on the fly to advertise whether a particular zone supports HTTP/3 and/or HTTP/2, based on whether those features are enabled on the zone. The new proposal, currently discussed by the Internet Engineering Task Force (IETF) defines a family of DNS resource record types (“SVCB”) that can be used to negotiate parameters for a variety of application protocols.
Microsoft issued a four-step plan to protect a user's environment and prevent outages: Update domain controllers with a patch released Aug. 11 or later; Find devices that are making vulnerable connections by monitoring event logs; Address noncompliant devices making vulnerable connections; and Enable enforcement mode to address CVE-2020-1472 in your environment. Microsoft issued the first phase of the patch on Aug. 11 to partially mitigate the vulnerability. It plans to issue a second patch Feb. 9, 2021, which will handle the enforcement phase of the update. "The [domain controllers] will now be in enforcement mode regardless of the enforcement mode registry key," Microsoft says. "This requires all Windows and non-Windows devices to use secure [Remote Procedure Call] with Netlogon secure channel or explicitly allow the account by adding an exception for the non-compliant device." ... "An elevation of privilege vulnerability exists when an attacker establishes a vulnerable Netlogon secure channel connection to a domain controller, using the Netlogon Remote Protocol (MS-NRPC). An attacker who successfully exploited the vulnerability could run a specially crafted application on a device on the network," Microsoft says.
Over the years, hackers have consistently reinforced the old adage: ‘where there’s a will there’s a way’. Defenders have inputted new rules into their firewalls or developed new detection signatures based on attacks they have seen, and hackers have constantly reoriented their attack methodologies to evade them, leaving organisations playing catch-up and scrambling for a plan B in the face of an attack. A paradigm shift came in 2017 when the destructive ransomware ‘worms’ WannaCry and NotPetya caught the security world unaware, bypassing traditional tools like firewalls to cripple thousands of organisations across 150 countries, including a number of NHS agencies. A critical response to the onset of increasingly sophisticated and novel attacks has been AI-powered defences, a development driven by the philosophy that information about yesterday’s attacks cannot predict tomorrow’s threats. In recent years, thousands of organisations have embraced AI to understand what is ‘normal’ for their digital environment and identify behaviour that is anomalous and potentially threatening. Many have even entrusted machine algorithms to autonomously interrupt fast-moving attacks. This active, defensive use of AI has changed the role of security teams fundamentally, freeing up humans to focus on higher level tasks.
“Ransomware criminals are intimately familiar with systems management concepts and the struggles IT departments face. Attack patterns demonstrate that cybercriminals know when there will be change freezes, such as holidays, that will impact an organization’s ability to make changes (such as patching) to harden their networks,” Microsoft explained. “They’re aware of when there are business needs that will make businesses more willing to pay ransoms than take downtime, such as during billing cycles in the health, finance, and legal industries. Targeting networks where critical work was needed during the COVID-19 pandemic, and also specifically attacking remote access devices during a time when unprecedented numbers of people were working remotely, are examples of this level of knowledge.” Some of them have even shortened their in-network dwell time before deploying the ransomware, going from initial entry to ransoming the entire network in less than 45 minutes. Gerrit Lansing, Field CTO, Stealthbits, commented that the speed at which a targeted ransomware attack can happen is really determined by one thing: how quickly an adversary can compromise administrative privileges in Microsoft Active Directory.
Quote for the day:
"A leader should demonstrate his thoughts and opinions through his actions, not through his words." -- Jack Weatherford