Mediaboss Marketing

Jeremy Hanger

Megantic, an Australian SEO specialist agency dedicated to ecommerce, has promotedJeremy Hanger to the newly created role of GM and appointed Rick Pantas strategic partnerships manager.

Hanger, formerly Megantics director of marketing, sales and partnerships, said he isboth grateful and delighted to have an opportunity to support what is a really unique offering in digital and, more specifically, eCommerce.

"The demand for online specialists with deep technical knowledge has fuelled not only our growth but our appetite to continue to deliver best-in-class products, service and results for our clients," said Hanger.

Digital continues to evolve at a rapid pace, and were ensuring we have the most passionate and skilled teams. Together with the establishment of a continuous improvement team and a robust training development function, Im confident that our team will continue to flourish and reach new heights.

Formerly the SEO director at StudioHawk, Pantas said he is thrilled to be joining the Megantic team as he has always admired and respected the companys approach to SEO.

"In the current landscape, which is experiencing unprecedented levels of online shopping, there has never been a more exciting time to be a part of the eCommerce industry," said Pantas.

"As Megantic's Strategic Partnerships Manager, I look forward to aiding in Megantics continued success whilst partnering with companies that share our aspiration for providing the best level of service and performance possible. There are certainly big things ahead.

Zan Ristov, co-founder and continuous improvement manager at Megantic, said after 10 plus years of focusing exclusively on SEO for ecommerce businesses with operations in Australia, Europe and North America, Megantic continues to grow and be recognised as a global leader in helping online retailers increase their revenue through organic search.

"Were thrilled to continue our growth story with Jeremys promotion and Ricks appointment during this exciting time. Their deep understanding of our business, customers and industry will be invaluable as our organisation soars to new heights," said Ristov.

At Megantic, our commitment to continuous improvement is reflected in everything we do, including our focus on career development and learning."

Back in February,Megantic partnered with Deakin University to transform Victorias online retailers eCommerce with SEO services.

Have something to say on this? Share your views in the comments section below. Or if you have a news story or tip-off, drop us a line at adnews@yaffa.com.au

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SEO agency Megantic promotes one and hires another - AdNews

The challenges of securing organizations havent changed much in the past year, and that means theres still a lot more that needs to be done especially as generative artificial intelligence and chatbots will require new tactics to fight attackers.

Thats according to two panels that presentedat last weeks RSA Conference in San Francisco. Among their other findings: Responding to incidents still could be better with more threat sharing and better public/private partnerships, analysts still have some tough sledding ahead as these new attacks appear almost like clockwork, and theres still a burning need for more training of new professionals in the field.

There are some bright spots, such as the way analysts quickly figured out the 3CX supply chain attack and shared its particulars. But ransomware and data extortion are still popular attack methods, and the bad guys are getting better at finding and fooling their target victims.

The first panel wasa perennial favorite at the conference, organized by the SANS Institute, a leading security training and education nonprofit. Moderated by Ed Skoudis, who is president of the SANS College, it featured SANS top cybersecurity instructors with many decades of collective cybersecurity experience: Heather Mahalik, a senior director at Cellebrite DI Ltd.; Katie Nickels, director of threat intelligence for Red Canary and one of the contributors to the Mitre ATT&CK framework; and Stephen Sims and Johannes Ullrich, both of SANS.

They came together to discuss their top most dangerous new attack techniquesthey have seen in the past year. Each panelist focused on their own favorite attacks, includingsearch engine optimization and paid advertising, adversarial AI, ChatGPT-powered social engineering and software supply chain attacks.

Nickels showed Gootloader, a new piece of this type of malware(below), which exploit SEO keywords and paid ads by placing their search results and ads at the top of the page. This tricks victims to click on their spoofed, and similarly appearing, websites and then download malware to their computers that open up access for the attackers.

The best ways to fight these attacks is to continually improve user awareness training methods that illustrate the attacks and train users to download software from trusted sources. If you see Gootloader in your environment, make sure you cut it off early because it could lead toward ransomware, Nickels said. This can lower the barriers for attackers and make them more effective.

Adversarial AI attacks are certainly top-of-mind these days as the explosive use of machine learning and large language models has focused interest in this topic. AI has made it easier to hone phishing attacks, improving their focus and their grammar to make them more realistic to temp their targets. Sims showed how he used the AI to seek out and find these types of exploits. Sims and Nickels both suggest that better defense-in-depth is needed that automates detection, response and mitigation actions.

ChatGPT-powered social engineering is your malicious access point, says Mahalik, who took the AI-as-bad-actor theme a step further. She had it write various impersonating phishing lures for her nine-year old son, with his prior consent. They were quite believable. For businesses, she recommends that you learn how to use it and understand how it works.

Next up are attacks specifically targeting third-party developers as part of leveraging the software supply chain. These attacks included malware that was installed on developers during the SolarWinds and LastPass breaches, along with the more recent 3CX attack. Ullrich showed how hard it is to figure out when a malicious piece of code is substituted for a legit one during the development cycle. He mentioned that often developers ignore security warnings, thinking they are false positives. A better strategy is to educate developers, review plug-ins, audit and limit credentials, and scan for dependent code throughout software supply chains.

The 3CX exploits were also the topic of another panel that described real-world incidents and threat response stories. The panel featured Lily Hay Newman, a Wired magazine senior writer and the moderator, Lesley Carhart of Dragos Inc., Nickels from Red Canary in her second appearance at the conference, and Wendi Whitmore, senior vice president of Unit42 at Palo Alto Networks Inc., who also appeared on theCUBE, SiliconANGLEs livestreaming video studio.

While the first panel spoke about the actual incidents, this panel was focused on more of the how, such asdealing with breach fatigue, disclosure announcement timing, transparency and mentoring new professionals.

Nickels pointed out that the quick action of CrowdStrike Holdings Inc. analysts on a Reddit discussion forum elevated the method of the 3CX attack, the specifics which Wikibon Chief Analyst Dave Vellante and Idiscussed recently, to a wider community of threat responders who were able to diagnose, mitigate and document what happened.

It is an example of the power of collaboration and public sharing, she said. Something that is targeting you is probably hitting other organizations, and it helps to share tactics and techniques. Carhart and Whitmore both recommend getting more involved in professional groups that are designed for sharing breach details, such as the various Information Sharing and Analysis Centersand NSAs Cybersecurity Collaboration Center that have been constructed for this purpose.

The first24 hours after a breach are critical, especially for an analyst to get beyond being scared and to try to be somewhat skeptical. Think skepticism, curiosity and stay calm, Whitmore advised. Nickels said analyst must be careful of what they know and what they dont know, especially initially. She mentioned cases of data extortion, and recommended that an analyst should take the time to figure out if the stolen data is actually a new case or something that transpired in the past.

The panel discussed how to deal with breach fatigue and analyst burnout as well. There is a lot of high stress and can go on for weeks, so it is important to plan for handoffs among analysts, Carhart said. And as Nickels pointed out, Panic should not a necessary part of incident response, there is a difference between panicking and having a sense of urgency. She also recommended having a shorter on-call rotation among a group of analysts, such as a couple of days, and conducting after-action discussion after an incident has ended and follow up on any needed changes so analysts dont make the same mistakes.

Newman asked her panel to talk about difficult issues for incident responders, and the panel touched on the fact that many incidents happen because of simple security hygiene mistakes, and that many victims dont want to disclose to the public what happens. Know what your perimeter is, that your network is properly segmented, and you know what your overall assets are, said Carhart. They can be challenging especially if you have a large network.

The panel also covered how to train and mentor the next crop of analysts. We didnt have a great support structure when we all got into this field, noted Carhart. She runs several online resources, including career counseling office hours, to help build our pipelines. We need people from all over the world to help with this effort, she said.

TheCUBEis an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate thecontent you create as well Andy Jassy

THANK YOU

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At RSA Conference, tales of real-world cyberattacks and warnings of ... - SiliconANGLE News

Ive written about ways to use ChatGPT for SEO and content marketing-related tasks, like keyword research, crafting title tags and local SEO.

I use it at least once daily for a variety of tasks. The more you use the platform, the more valuable it will be to you to understand its limitations.

The founder of OpenAI (the company that built ChatGPT) has called the tool incredibly limited and a horrible product and has cautioned users about how much they rely on it:

Multiple publications have published content with errors on meaningful YMYL (Your Money or Your Life) topics like personal finance and health.

This article discusses the most common technical errors and the frequent mistakes when using ChatGPT and how to address them.

If youve been using ChatGPT for a long time (i.e., since late 2022), youve probably seen the prompt below at some point.

Obviously, a new software product in an emerging technology field thats massively popular will run into problems.

If youre making ChatGPT an integral part of your daily workflow, knowing the common issues you may encounter is helpful.

ChatGPT also has issues familiar to any website, such as 404 not found errors, 5xx internal server errors, 403 access denied errors, and Cloudflare errors like 1020 and 524 errors.

Often these can be fixed by clearing your cache, using (or turning off) a VPN, or ensuring youre typing the web address correctly.

And there are also several errors more specific to the platform:

Often, users may hit specific character limits, token limits, or limits in functionality with the ChatGPT API.

There are limits to how many characters you can enter into ChatGPT and how many characters ChatGPT responses can be.

They vary depending on your version (e.g., GPT-3.5 has an input limit of 2048, and GPT-4 is 4,096) and in the web interface versus the API.

If ChatGPT is processing a long and complex response, it will sometimes just time out.

You might see this when asking the platform to perform functions like writing code or analyzing and responding to long inputs.

Not an error per se, but frequently, if you ask ChatGPT to write code or a long text, it will just stop mid-way.

You can type continue, and it will finish within the next few prompts in these instances.

ChatGPT, at the time of writing, limits the number of messages you can use per time period, even for paid accounts.

Similarly, there is specific rate-limiting for different GPT versions, OpenAI tools, and account types.

Depending on the level of access required or session duration. ChatGPT may log you out, or you may not have access to certain features with certain account statuses.

Most of these issues can be resolved by:

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ChatGPT makes many mistakes, including:

Other users have detailed instances of the platform lying to get a CAPTCHA solved and issues with simple math problems related to age and distance.

Some of this has improved with GPT-4, but not all. Here is a prompt and output using the latest version of ChatGPT:

While its fun to do gotcha prompts and catch ChatGPT saying incorrect or goofy things, its more beneficial to be aware of areas where ChatGPT can be wrong the categories of wrongness, if you will.

Understanding these will make you both a better prompt engineer and output editor. Let's walk through the most common categories of mistakes I know.

The hallucination issue is a significant problem for ChatGPT and other generative AI solutions.

ChatGPT will answer all kinds of questions that it doesn't know the answer to in a compelling way. That doesn't make the answer right.

The example screenshot above shows that it doesn't use any qualifying language or hedge at all. You get a decisive answer without equivocating.

ChatGPT is terrible at estimating and understanding character counts in any precise way.

If youre doing work related to SEO and content, this is a major limiting factor. You might be looking to write title tags, meta descriptions, or content where meeting a word count is necessary:

This is actually pretty close. I've had instances where the tool was much farther off.

I searched for logic puzzles and grabbed the first list of easy logic puzzles I found.

ChatGPT got the first three puzzles correct, then the fourth one wrong:

There are several real-life examples now of people using ChatGPT to build websites, apps and browser extensions or troubleshoot coding issues.

That said, ChatGPT can also generate code that doesn't work. I've encountered the following issues when using ChatGPT to help code:

Again, its imperative you always check the code youre deploying carefully and test the output of anything ChatGPT helps with.

Some users have also reported that GPT- 4 or even legacy mode (rather than the new default, Turbo) leads to better results for coding tasks.

The training data for ChatGPT may be updated at some point and various plugins and tools have started to integrate web crawling and real-time data.

Still, the web version of ChatGPT currently can't crawl the web and isnt aware of information from before late 2021.

This is important, particularly when coupled with the confident but wrong issue.

There is a limit to how many characters within a chat ChatGPT will remember so it will frequently make mistakes due to losing the context of your early prompts or its early answers.

As with coding, if you ask ChatGPT to perform functions like creating a table or formatting text in a certain way, it will sometimes make mistakes or ignore specific instructions.

So how can you get the most out of ChatGPT while dealing with the platforms issues and limitations?

Focusing on these key areas can help you avoid much of the potential downside of using ChatGPT in your day-to-day tasks:

Staying up to date with specific product limitations like (i.e., character limits for prompts and responses, the date of training data for GPT, etc.) will help you craft prompts that generate good responses and QA outputs better.

OpenAI does a good job of updating this information with new releases. Some items here are things they've explicitly said they are addressing.

This should be fairly obvious, but you must carefully edit any text and QA code before publishing or deploying it.

Due to how convincingly confident ChatGPT can be, I'd strongly recommend having a domain expert review content and code before its deployed.

Its relatively easy to be fooled by some of the content and assertions put out by ChatGPT, especially if a topic isnt your area of expertise.

But if you have deep experience on a topic, it's easier to catch misleading or inaccurate statements.

OpenAI has rolled out plugins and made a ChatGPT-specific API available.

You can address some of the platforms limitations by using different tools that others create or by creating some yourself.

Now that you know the potential pitfalls of ChatGPT, you can go on and establish guardrails for using the tool leveraging its benefits while avoiding many of the negatives.

Opinions expressed in this article are those of the guest author and not necessarily Search Engine Land. Staff authors are listed here.

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ChatGPT fails: 13 common errors and mistakes you need to know - Search Engine Land

Money laundering is among the greatest threats to modern financial systems and society. From drug trafficking to illegal arms bartering, this criminal activity takes shape in many ways often with devastating consequences for unsuspecting victims.

To prevent money laundering from occurring, governments have increasingly mandated anti-money laundering (AML) training. But what does AML training entail? How do organizations go about implementing anti-money laundry protocols? In this blog post, well dive into the fundamentals of AML training so you can protect your business and keep customers safe from nefarious schemes.

Anti-Money Laundering training is essential in preventing financial crime. It refers to laws, regulations, and procedures to detect and prevent money laundering activities in financial institutions. AML training is designed to educate employees of financial institutions about the risks of money laundering and how to identify and report suspicious activities.

This training helps these employees to understand their role in preventing financial crime and how to comply with regulatory requirements. It also explains the importance of customer due diligence, transaction monitoring, and reporting suspicious behavior to regulatory bodies. Therefore, AML training provides financial institutions with the tools to combat money laundering and prevent financial crime.

An effective AML program is critical for any business in the financial sector. A robust AML program works to detect and deter money laundering activities by implementing various measures and policies that address multiple risk factors.

Some essential elements of an AML program include customer due diligence, enhanced due diligence for high-risk customers, ongoing monitoring, record-keeping, and reporting suspicious activities to regulatory bodies. A good AML program helps financial institutions fulfill their legal and regulatory obligations but also helps protect against reputational risks that may arise from association with money laundering activities.

As a result, businesses need an effective AML program to protect themselves, their customers, and the broader financial system.

In todays fast-paced world, financial institutions are critical players in ensuring the smooth operation of the global economy. However, these institutions are vulnerable to criminal activities such as money laundering, which can undermine the stability of financial markets. Anti-money laundering training can be a valuable tool for financial institutions to identify and prevent these illicit activities.

By providing employees with the knowledge and skills to recognize suspicious transactions, anti-money laundering training can help financial institutions protect themselves and their customers from financial crime. Additionally, such activity can help these institutions comply with regulatory requirements, ultimately leading to greater trust from their stakeholders and customers.

Financial institutions must have robust AML compliance programs as financial crimes continue to rise. To be effective, these programs must meet several requirements.

Firstly, institutions must have a clear internal governance structure that includes the leadership team, compliance officers, and other relevant departments. Secondly, a risk assessment process must be in place to identify and mitigate potential money laundering risks. Thirdly, institutions must implement policies and procedures that align with regulatory standards.

Fourth and last, staff should be trained on these policies, procedures, and compliance risks. An effective AML compliance program requires a comprehensive approach with clear governance structures, robust risk assessments, regulatory-aligned policies and procedures, and employee training.

An effective Anti-Money Laundering Program is crucial for all financial institutions to maintain compliance and prevent criminal activities. Companies can implement several key strategies to ensure the success of an AML program. This includes conducting thorough customer due diligence, implementing robust monitoring systems, training employees on AML best practices, and regularly reviewing and updating the program to stay ahead of evolving threats.

By staying vigilant and adhering to these strategies, financial institutions can protect themselves from legal and financial consequences and contribute to global efforts to combat money laundering and terrorist financing.

As AML regulations become more complex, organizations must find innovative ways to train employees and monitor compliance. Technology offers promising solutions. Leveraging virtual and augmented reality, e-learning modules, and data analytics can create a more engaging, interactive, and practical training experience.

Automated compliance monitoring systems can also help detect suspicious activity and flag potential money laundering cases. These tools not only improve AML measures but also save time, reduce costs, and provide valuable insights into the effectiveness of the entire AML program.

Technology can keep companies and their stakeholders safe as financial crimes become more sophisticated.

In summary, Anti-Money Laundering Training is essential for any financial institution. It helps to protect against different types of financial crime, including money laundering and terrorist financing. Ultimately, implementing an effective Anti-Money Laundering program is essential not only from a legal standpoint but also from an ethical perspective.

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The Benefits of Working with a B2B SEO Agency Instead of In-House - Times Square Chronicles

May 1, 2023 1:11 pm MDT | Updated May 1, 2023 2:26 pm MDT

Hey, hello! I'm back with your fresh edition of the Missoula Patch newsletter. Let's get this day started off right with a quick dive into everything you need to know about what's happening in town these days.

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Sean Peek

About me: Sean Peek is a writer and entrepreneur with a degree in English Literature from Weber State University. Over the years, he has worked as a copywriter, editor, SEO specialist, and marketing director for various digital media companies. He currently co-owns and operates content creation agency Lightning Media Partners.

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