By Sydney Price ( November 14, 2024, 5:54 PM EST) — A New York federal judge said media technology company Icaro Media Group Inc. and its CEO must face the U.S. Securities and Exchange Commission’s suit alleging they raised more than $22 million from investors on fake claims that the company was about to launch a sports content application in partnership with major telecommunications companies…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

“Nobody wants to admit that their own death is coming soon.” Low-code has been swinging the pendulum away from off-the-shelf applications and toward custom development for years. There are good reasons for this. When practical, fit-to-purpose software is best. And the lower cost, risk, and lead time of low-code development — coupled with an expanded developer pool, easier integration, management of apps on a common platform, leveraged licensing, etc. — makes it much harder to justify off-the-shelf software licenses and vendor sprawl. AI-powered enterprises will “build” software instead of “buy” it — and many applications in enterprise portfolios will consolidate onto low-code AppGen platforms. Until recently, this shift was typically unplanned and organic. Even as firms scaled low-code and told us that they were buying fewer apps and building more instead, they were often surprised to realize that their practices and view of “build vs. buy” had changed. It had just sort of happened along the way. But now, this “build first” mindset is becoming a deliberate enterprise strategy. Here is a sample of comments we’ve received from enterprises over the last few months: “We’re freezing all new app purchases. We start by developing [on low-code platforms].” (CIO, North American energy enterprise) “For new applications, our recommendation is [low-code platform] first.” (IT director, global engineering firm) “AI tilts the floor. We see a move away from the big enterprise apps. You’ve got a lot of single-purpose SaaS tools that are expensive when you put them all together. Some of those will collapse into one low-code platform.” (Partner, global consultancy) This last quote hits to the heart of the trend. Advancements in low-code and development practices already made the “build first” and “platform consolidation” strategy unavoidably practical. But it’s generative AI — and its killer use cases in TuringBots and low-code AppGen platforms — that has served as the accelerant for more firms to recognize these conditions and embrace them. AI-powered AppGen platforms will drain the competitive “moat” of domain knowledge encoded in off-the-shelf business apps. There are two benefits of genAI in software development that tip the scales: 1) even more speed and ease throughout the SDLC (self-evident) and 2) the infusion of business and industry “domain knowledge” through AI models into the development act. This second point is monumental. The typical remaining “moat” for many business application vendors is the “domain knowledge” and “industry best practices” encoded in their off-the-shelf software. AppGen will drain this moat. Even a vanilla large language model knows what a CRM is and how it’s put together, or what a truckload shipment process looks like, or what the airspeed velocity of an unladen swallow is. And AppGen platforms make this domain knowledge instantly available in the development act. This means you can ask the platform for the app you need and get it — like the gentleman we interviewed who generated an app for managed sea containers and their documentation. He marveled that the platform knew “his” industry! Where’s all this going? Over the next several years, these factors will lead to market consolidation as enterprises retire many of the apps in their portfolios (both off-the-shelf and custom) and replace them with bespoke, dynamic applications delivered using AI on low-code AppGen platforms. True story: a frank conversation with an enterprise software vendor. There are caveats to this prediction. Some specific app functionality is too high-risk and legally bound to be done custom by the typical firm (e.g., general ledger), some app vendors will become AppGen platforms themselves, some apps have legitimately differentiated technology that’s not easily replicated, and so on. But the many applications of the business world, which are basically collections of the same generic, fungible software components rearranged into different industry and use case patterns, is clearly under threat. And the vendors know it. To illustrate: Several months ago, we interviewed a leader at a significant software vendor. This vendor’s flagship product is an application in one of the major “three-letter acronym” enterprise software categories (such as ERP, CRM, HCM, etc.), which from here on we will refer to as “app.” In our discussion, he said: “Fast-forward five years. Building an [app] is going to be very easy. Half a dozen prompts, and something will work for you, and it’s going to be very specialized to your use case. So what is the value of our own [app] product? Or anyone’s [app] product for that matter? In 10–15 years, people won’t be buying our software. We might not even be slinging [app] anymore … that product could go to zero; we’re not going to be pulling money that way. People will be accessing that functionality through different mechanisms. There has to be the next-level step of where the value is going to be provided.” We agreed. Many trends in AI and software development point to it, and we had years of research backing it up. But outside our research, we’d never heard the point so boldly and clearly stated. So we asked, “Why are none of the software vendors talking about this?” His response: “Nobody wants to admit that their own death is coming soon.” source

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Fraudsters have been around since the dawn of time. But the internet has completely transformed the scale at which they operate. There are now an unlimited number of potential victims they can target with various schemes, from phishing attacks and identity theft to sophisticated scams and financial fraud. And that’s exactly what they’ve been doing. According to the Global Anti-Scam Alliance, scammers stole over $1 trillion in 2023 alone. As the world continues to embrace new technologies, digital fraud is expected to rise proportionately. For companies in all industries, this means that cybersecurity measures and capabilities to combat fraud are no longer optional but necessary. Let’s look at some of the main digital fraud trends organizations are facing today and ways to effectively mitigate them. It has been an eventful few years for digital fraud powered by emerging technologies like artificial intelligence and machine learning. Account takeover attacks (ATO), particularly via session hijacking, have made many headlines throughout this year, forcing browser developers to implement stricter security controls. And that’s only one example. With cybercriminals attacking from all angles, it’s difficult to pinpoint all rising threats. With that said, there are a few that stand out. Related:In a Digital World, Anti-Fraud and Security Teams Should be Partners Deepfake Technology While deepfakes have been around for some time now, they have drastically evolved in recent years. Thanks to various AI tools, they’re not only more realistic and harder to detect but also significantly easier to create. Digital fraud involving deepfake technology is costing organizations millions. In one severe case, a Hong Kong-based company lost $25 million to scammers after they deepfaked the company’s CFO in a live video call. It’s easy to blame the worker who fell for the scam in this scenario, but was the organization doing anything to provide adequate training and tools to prevent such incidents? Digital Impersonation Prominent business figures aren’t the only ones being impersonated. Scammers are also creating fake websites that mimic legitimate businesses to commit fraud against unsuspecting users. This is a huge problem for businesses, as according to a report by Memcyco, 40% of customers who fall victim to fake-site scams stop doing business with the company being impersonated. There is also a lot of talk about government regulation stepping in to force companies to reimburse their customers who fell victim to fraud, which has already begun in the UK. This puts even more pressure on businesses to swiftly detect and mitigate fraudulent activities related to their brand. Evolution in Phishing By utilizing deepfake technology, generative AI, large language models (LLMs), and other technologies, cybercriminals can now orchestrate very sophisticated phishing attacks that are incredibly difficult even for security-savvy individuals to detect. Just two to three years ago, phishing messages were evidently crafted by non-native speakers, with many spelling and other errors that made them easier to spot. Now, the messages are not only grammatically correct but also much more personalized, thanks to advanced data mining and social engineering techniques. Considering these evolving threats, CISOs and other security professionals have their hands full in the effort to protect their organizations. Here are some of the most effective methods in combating the many forms of today’s digital fraud: Security Awareness and Phishing Training for Employees Human error is the number one cause (74%) of all cyberattacks. All the threats and attack vectors I discussed are largely ineffective unless an actual human falls for them. That’s why regular security awareness training should be among the first priorities for organizations looking to boost their fraud resilience. The training should include real-life scenarios and simulations of the latest techniques to make it easier for employees to pinpoint similar attempts from attackers. Fraud Detection Technologies Just as criminals are using technology to fill their pockets, the business community can also leverage advanced technologies to protect themselves. Sophisticated fraud detection systems utilize real-time scanning, machine learning, and behavior analytics to find suspicious activity, such as fake websites or unusual transaction attempts. It’s also worth mentioning that while 72% of the businesses surveyed in the above-mentioned report by Memcyco use website impersonation protection, only 6% found it effective. So, it’s important to invest in the right technologies. Otherwise, a business may have a false sense of security, which is worse than having no protection at all. Threat Intelligence Sharing with Peers and Law Enforcement The cybersecurity community is fairly tight-knit, but murky information sharing, particularly when it comes to ransomware threats, makes it difficult for businesses to react in time. Open-source platforms like MISP and OTX encourage threat intelligence sharing among peers and should be used as a key resource to combat digital fraud. Based on the trends discussed in this article and others being used in the wild, it appears that deception is a highly prevalent tactic among cybercriminals. Therefore, it’s important to exercise caution during our everyday internet activity, whether it’s checking emails, visiting websites, or even making video calls. From an organizational perspective, the onus is on security leaders to stay on top of emerging threats and help employees learn how to deal with them effectively. Regular training, robust fraud detection systems, and a culture of vigilance are key to combating digital fraud these days. source

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More One of the buzzwords of 2024 in AI has been agents, specifically the agentic future. AI agents have become one of the most talked-about trends for enterprises, and as more organizations look to implement agents, the future for agents may look rosy. In the next year, more enterprises could bring AI agents out of sandboxes and into production, making AI agents a big trend for 2025. Steve Lucas, CEO of platform integration company Boomi, said the conversation around AI agents picked up speed this year due to multiple factors in the growth trajectory of generative AI and models.  “I believe there are moments in time in the course of history where there’s convergence, and things come together to create an outcome we didn’t expect so soon,” Lucas said in an interview with VentureBeat. “You have near infinite compute, extraordinarily powerful GPU processing capabilities, data that is not near infinite, sprinkle in a fundamentally new way to take and process inputs and outputs that have all converged at the same time.”  In other words, AI agents became a big deal because we can see a path for these agents to actually work.  When organizations and AI companies talk about an agentic future, they usually mean a time when many tasks within an enterprise are automated. People will either prompt, or do a simple action, and AI agents will begin fulfilling those requests.  In the past few months, large service providers have begun offering access to agents to customers. Salesforce has gone all in on agents with the release of agents called Agentforce. Salesforce chairman and CEO Marc Benioff said during the launch of Agentforce that AI agents represent the “third wave of AI” which the company is very excited about helping to usher in.  It isn’t just Salesforce that is talking up AI agents. Slack will let customers integrate agents from Salesforce, Asana, Workday, Cohere, Writer and Adobe. ServiceNow updated its Now Assist platform with a library of ready-to-use agents, and AWS introduced Agents for Bedrock so clients can build custom agents more quickly.  Lucas and other experts VentureBeat spoke to agreed that 2024 is the year enterprises realize they can bring agents into their technology stack. The following year will bring more agent deployment, but multiple agents working together could still take some time to work well.  The momentum is not slowing down The various platforms available to access a library of agents or low-code ways to build custom agents make it easier for enterprises to consider using agents. The adoption of agents is already growing. A survey from Forum Ventures showed that among 100 senior IT leaders, it spoke to, 48% are ready to bring AI agents into operations. Around 33% said they are very prepared.  As they continue experimenting and figuring out good use cases for their organizations, 2025 will allow companies to test out production in small tasks for agents.  Deloitte Head of AI Jim Rowan said clients who’ve started limited tests of agents see the potential of agents “as skilled collaborators that enterprises have been searching for that understands personal preferences.” Boomi’s Lucas said his company is anticipating the number of customers using its agents “should go up 10x next year.” He said around 2,000 clients actively use Boomi’s agents.  However, while 2025 could see a boom in agents, some enterprises may also consider the cost of using agents widely. Paul van der Boor, vice president for AI at investment company Prosus, told VentureBeat that agentic use will only keep growing, but companies have to remember there is a cost inherent to this technology.  “The trajectory is not going change because I think the direction is clear,” van der Boor said. “Keep in mind that there’s also a lot of practical considerations because one of the things agents do is they require multiple calls to various elements, and they require more tokens, so they’re more expensive.”  AI agents will see evolution, too Lucas said the best use of agents is when they move from solitary actors to digital employees working with each other and human workers to complete tasks. But we won’t see multi-agents in production early in 2025. Lucas said what is most likely is the rise of agent islands. “You’ll have islands, like the Salesforce island, the Boomi island, the Oracle island. Over time, these agents will talk to each other,” he said.  The next few years could see the rise of agents taking more of a proactive role in the enterprise. Deloitte’s Rowan said some AI agents could become multipurpose agents that anticipate users’ needs. For example, the agent could proactively scan someone’s inbox, categorize inbound emails from clients, reference those with a list of priorities, tailor responses and flag any information to the employee.  “Over time, agents will level up on the cognitive nature of the task they’re performing. I don’t think we’re there yet because agents now are still operating more at the behest of the employee,” he said.  One future AI agent evolution could be a conductor or orchestration agent. Meta agents, one of the many terms for this concept, is an AI agent that directs traffic or actions of other agents.  Paul Tether, CEO of market intelligence firm Amplyfi, said the so-called Meta Agents is the ultimate next step for enterprise AI agents.  “By the end of next year, we’ll start to see meta agents emerge,” he predicted.  source

Are you bullish on AI’s potential to transform the way frontline B2B marketers work? My research found that frontline marketing leaders in B2B organizations are very bullish. And according to Forrester’s B2B Frontline Marketing Survey, 2024, frontline marketing teams with advanced lifecycle revenue marketing strategies are the most likely to be AI-ready and have the highest levels of adoption. Here are some further details. Advanced Frontline Marketers Are Blazing The AI Trail My research found a high correlation between advanced lifecycle revenue marketing strategies and high AI readiness: The frontline marketing teams with the highest strategy maturity scores also have the highest levels of AI readiness and adoption. Forrester’s B2B Frontline Marketing Survey, 2024, also found that: Mature frontline marketers see the impacts of AI more clearly. Frontline marketers with high maturity scores are more than twice as likely to say that AI will make frontline marketing more productive, change the way work gets done, usher in a need to hire new roles, and lead to frontline marketing job losses. Mature frontline marketers are trained and ready to go with AI. Frontline marketers with high maturity scores are much more likely to be trained on how to use AI in their daily work, ready to use AI to create a marketing program or campaign, and ready to run a customer-facing program or campaign using AI. Frontline marketers with high AI readiness are more aligned with sales and within marketing. Ninety-one percent of frontline marketing leaders with high AI readiness say their teams are aligned with sales, compared to 72% with lower AI readiness. Frontline marketing teams in Europe are leading in the adoption of “AI for marketing” use cases. In Europe, 33% of B2B companies say they have AI use cases in production, compared to 21% in North American and Asia Pacific regions. Learn More About What Is Driving AI Readiness And Adoption In Frontline Marketing All the details about the global state of AI readiness and adoption in frontline marketing are now available in my new report, AI Is Already Changing The Game For Advanced Frontline B2B Marketers. Forrester clients can read the report and schedule a guidance session with me to discuss AI readiness, frontline marketing maturity, and lifecycle revenue marketing strategy. source

As the job market continues to evolve, the cost of living, salaries, and benefits are all rising globally. This quick evolution presents a difficult challenge for hiring managers and HR reps who want to keep up with their local market and what competitors offer new employees. That’s where salary compensation benchmarking tools can help. SEE: New employee checklist and default access policy (TechRepublic Premium) By providing up-to-date data on salary averages for different industries and even specific positions, compensation benchmarking tools can help HR teams compare their salary offers to the market rate to ensure they offer competitive wages. In this guide, learn about some of the best compensation benchmarking tools available today and how they can help your recruitment and hiring efforts. Best compensation benchmarking tools: Comparison table A key part of finding the right candidate for any role is offering an attractive salary that works for both the company and the candidate. The best compensation benchmarking tools can help you and your candidates agree on salary expectations. SEE: Find high-paying cybersecurity and IT support jobs in these U.S. cities These tools provide data on salaries in your area, considering factors such as experience, cost of living, and benefits. You can then adjust the salaries you offer according to your own needs and business goals. With that knowledge in mind, here are some of the best compensation benchmarking tools: Indeed: Best for up-to-date salary insights Image: Indeed Indeed is an online job search engine that allows job seekers to search for jobs posted by employers, create résumés, and apply for jobs. It also provides employers with a platform to post job openings and manage recruitment. In addition, Indeed provides a compensation benchmarking tool that allows employers to view detailed salary insights for informed compensation decisions. With Indeed Salary, employers can compare salaries for specific job roles, locations, and company sizes to see how their compensation stacks up to the competition. The tool allows employers to see how their compensation compares to industry averages and national and local salary trends. Job seekers can use it to understand what salary they can expect in a certain market or job type. Key features Salary estimates: Indeed estimates the average salary for a job title in a given location. Salary comparison metrics: This tool allows users to compare salaries for different locations, job titles, and industries. Multi-source data: It includes salary data from multiple sources, including job postings and surveys. Advice for job seekers: Indeed offers users salary ranges and salary negotiation advice. Salary calculator: Indeed includes a salary calculator to help users estimate their market value and negotiate salary offers. Company profiles: Indeed creates company profiles with information on job openings, ratings, and reviews from current and past employees. Pros and cons Pros Cons Mobile app available for on-the-go access. No information provided on potential bonuses. Detailed salary comparisons between different roles in the same industry. Data filters can be improved. Updated regularly with new data and job market trends. Free to use. Pricing The compensation benchmarking tool is free to use and provides a detailed look at salary data for job seekers and employers. Payscale: Best for enterprise HR teams Image: Payscale Payscale is an AI-powered compensation tool that helps employers and job seekers make informed decisions about salaries. It offers access to salary data on millions of job titles across hundreds of industries, including U.S. and international markets. It also analyzes job titles, pay trends, and salary data for specific locations. With its reports, employers can compare their pay structure to industry averages and adjust as needed. Job seekers can use the data to inform their salary negotiations and compare potential salaries for different job titles. Payscale also includes salary surveys, cost-of-living calculators, job descriptions, and employer-specific salary data. Key features Salary information: Payscale provides salary information to help employees make informed decisions about their careers and compensation. This includes average wages, salary ranges, and salary trends. Job search tools: Payscale allows users to search for jobs by salary, location, and industry. Career resources: Payscale offers career resources to help users make informed decisions about their career paths. This includes resources for job seekers, career changers, and employers. Cost of living calculator: Payscale’s cost of living calculator allows users to compare the cost of living in different cities. Negotiation tips: Payscale provides negotiation tips to help employees maximize their salary. Pros and cons Pros Cons Compensation scenario builder. Steep learning curve. Custom user profiles based on current job role. Comprehensive database of reported data from over 65 million employees. Pricing Price a Job tool, salary reports, and other tools for individuals: Free Full version for employers (including PayFactors, MarketPay, and Pay Equity Solutions): Quote available on request Bureau of Labor Statistics (BLS): Best for national trends Image: Bureau of Labor Statistics (BLS) The Bureau of Labor Statistics (BLS) is a government agency within the U.S. Department of Labor. It collects, analyzes, and disseminates labor-related statistical data to the public. The BLS manages data on various topics, including employment trends, wages and benefits, inflation, productivity, and workplace safety. It produces reports on special topics such as occupational injuries, job openings and separations, and labor force participation. Key features Access to comprehensive labor market data: The BLS provides access to the latest labor market data from the U.S. Department of Labor, including employment and unemployment statistics, occupational outlook data, and labor force projections. Interactive data visualizations: The BLS provides easy-to-use visualizations, allowing users to explore and compare data quickly. Jobs and wages database: The BLS provides access to a comprehensive database of job titles and corresponding wages, enabling users to compare wages across occupations and industries quickly. Industry-specific data: The BLS provides industry-specific data, allowing users to compare wages within a specific industry easily. Pros and cons Pros Cons Robust data filters. Interface could be modernized. Downloadable reports. Steep learning curve. Comprehensive database. Pricing This tool is free to use with no limits. SalaryExpert: Best for cost-of-living data Image: SalaryExpert SalaryExpert

Just as the Sarbanes-Oxley Act paved the way for greater transparency and accountability in financial reporting, the SEC’s cybersecurity rule is doing much the same for cybersecurity, ensuring that companies are resilient in the face of growing cyber threats, says Padraic O’Reilly at CyberSaint. source

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