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Risks often emerge when an organization neglects rigorous application portfolio management, particularly with the rapid adoption of new AI-driven tools which, if unchecked, can inadvertently expose corporate intellectualproperty. That may sound straightforward, but many CIOs fall short of this fundamental discipline, Grimes observes.
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. Whats our risk tolerance, and what safeguards are necessary to ensure safe, secure, ethical use of AI? As part of that, theyre asking tough questions about their plans.
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. Its become ultra-important for CISOs to monitor LLM interactions, track protected source code in cloud repositories (repos), and prevent unauthorized AI indexing of intellectualproperty and other private data.
This could force companies to share sensitive information, raising concerns over intellectualproperty and competitive advantage. On the other hand, such a push for transparency could also drive wider AI adoption, according to Sharath Srinivasamurthy, associate VP of research at IDC.
Seven companies that license music, images, videos, and other data used for training artificial intelligence systems have formed a trade association to promote responsible and ethical licensing of intellectualproperty. The situation could become even more complex for multinational companies.
For networking security leaders, too many blind spots in their network security operations means too many vulnerabilities. With the shift to hybrid work, data, applications, intellectualproperty, and personal information is no longer stashed safely behind a corporate firewall. Network Security
Between our research and dozens of conversations with customers and partners, there are a number of trends that we can expect to see this year, in 2024, and onward. The release of intellectualproperty and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data.
One of the biggest ways that data analytics is changing marketing is that it can help with marketing research. Startups require a solid foundation founded on extensive market research to flourish in this volatile climate. Protect IntellectualPropertyIntellectualproperty (IP) is a significant asset in the tech hardware business.
However, cloud-native application development can pose significant security risks as developers are often dealing with exponentially more cloud assets across multiple execution environments. Filter Bypass: LLM tools are typically built with security filters to prevent the models from generating unwanted content.
Chatbots are almost like a living organism in that they are continually iterating, and as they ingest new data,” says Steven Smith, chief security architect at Freshworks. For engineers, AI-generated code used in software development may contain security vulnerabilities or intellectualproperty ingested during training.
Enterprises are looking to AI to boost productivity and innovation, and one-third of organizations with an interest in the technology have hired or are looking for a chief AI officer, according to new research from Foundry, publisher of CIO.com.
In researching this article, I found gaps where CIOs promised capabilities to stakeholders, but implementations and business impacts have lagged expectations. And while static application security testing (SAST) was the top-rated tool for usefulness by 82% of respondents, only 28% claim these tools are used on at least 75% of their code base.
That’s why we are investing $1 billion in generative AI over the next three years and leading the development of new research to explore its potential for our clients, their employees, and end customers.” The announcement comes amid reluctance among some CIOs regarding the ROI of generative AI copilots.
Management rules typically exist to enable faultless decision-making, set a foundation for consistent operation, and provide protection from risk, observes Ola Chowning, a partner at global technology research and advisory firm ISG. Breaking a rule often happens after the CIO weighs the risk of removing or retaining a mandate,” she notes.
So says Andrew McAfee, principal research scientist at the MIT Sloan School of Management. Among their biggest concerns: exposing intellectualproperty through publicly available generative AI models, revealing the personal data of users to third-party vendors or service providers, and securing the AI itself from criminal hackers.
WP Engine will need to replicate that securityresearch on their own.” Michele Rosen, an IDC research manager tracking the open source ecosystem, said the lawsuit got very personal very quickly. The reason WordPress sites don’t get hacked as much anymore is we work with hosts to block vulnerabilities at the network layer.
The volume of shadow AI is staggering, according to research from Cyberhaven, a maker of data protection software. Shadow AI is practically inevitable, says Arun Chandrasekaran, a distinguished vice president analyst at research firm Gartner. Yet that’s happening to some degree in many places, according to Genpact and HFS Research.
Google on Wednesday told the European Union (EU) that Microsoft is illegally using its dominant market position in Windows to force enterprises to use its Azure cloud service or face a 400% price penalty and a denial of upgrades and security patches. The UK is much more focused on cloud.”
Just look at the stats:Some 45% of 2,500 executives polled for a May 2023 report from research firm Gartner said the publicity around ChatGPT prompted them to increase their AI investments, 70% said their organization is already exploring gen AI, and 19% are in actual pilot or production mode. They’re looking for the art of the possible.
CIOs have been sued for allegedly accepting kickbacks from companies that their home companies had contracted with, and for failing to secure data that resulted in a major data breach. Make corporate security your personal business When CIOs are sued or fired, it’s often because of a significant cybersecurity breach.
Reliable and Trusted Security. The idea that the cloud lacks reliable security is completely outdated. Most cloud service providers deliver superior network security and safe infrastructure to resist cyber attacks and include disaster recovery contingency plans. Do they prioritize security to protect your intellectualproperty?
“Organizations have been combining automation and AI technologies for a few years now to improve their business processes,” says Maureen Fleming, program vice president at research firm IDC. “AI As part of its mission to democratize IA across the company, AT&T is deploying a secure generative AI platform, Austin says.
Christoph Wollersheim, a member of the services and artificial intelligence practices group at global consulting firm Egon Zehnder, pinpoints five critical areas most organizations need to address when implementing AI: accuracy, bias, security, transparency, and societal responsibility.
It highlights the need for data encryption and other data security measures. What Research Shows. Studies by the Pew Research Center twenty years ago (2002) reveal that even then over 70% of college students used the internet more than the library, as well as email communications. First of all, let’s look into some statistics.
Recent research conducted by Dell indicates that 91% of respondents have dabbled with generative AI in their lives in some capacity, with another 71% reporting they’ve specifically used it at work 1. Everything from privacy of customer data to intellectualproperty is at risk. It looks like I’m not alone. What’s at stake?
Our goal is to analyze logs and metrics, connecting them with the source code to gain insights into code fixes, vulnerabilities, performance issues, and security concerns,” he says. We leverage agentic AI across various verticals in our security programs,” he says. We do lose sleep on this,” he says. We’re working on adding that in.
Everest Group researchers find that some mature captives have built high-value capabilities to support key innovation, transformation, and revenue-generating initiatives. Research locations with an eye toward whether it possesses the labor and infrastructure necessary to support the scope of the center and any future growth.
But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. The potential is highly positive and impactful, particularly as a research tool or one which gives an initial, albeit fully formed, answer.
Michele Goetz, vice president and principal analyst at Forrester Research, agrees. That could lead to compromised intellectualproperty and regulatory penalties. This followed a ChatGPT hackathon to identify security risks. “It IDC Data and Information Security, Generative AI, IT Governance, IT Strategy
Some CTOs are also responsible for managing research and development initiatives and overseeing intellectualproperty at their organizations. The role of the CTO continues to evolve,” says Craig Stephenson, managing director for the North America Technology Officers Practice at organizational consulting firm Korn Ferry.
With AI, their users can get extremely smart research assistants. Now I’ve got summarization capabilities, access to the world’s best research librarian, and a first-draft text generator for a lot of things I want to do,” he says. Insight used the Azure OpenAI Service to do this. One option, however, is to use open source software.
Cybersecurity, often known as information security or IT security, keeps information on the internet and within computer systems and networks secure against unauthorized users. Cybersecurity is the practice of taking precautions to protect data privacy, security, and reliability from being compromised online.
For example, you can use any Amazon research tool that will simplify product listing monitoring, competitor analysis, and protection against hijackers. According to recent research, 54% of Amazon sellers successfully combine trading with another job. Most often, such blockings occur due to new security measures.
Department of Homeland Security (DHS). This includes research, design, engineering, development, analysis, prototyping, fabrication, integration, installation, test and evaluation, training and logistics support of telecommunications and related C-E systems, subsystems and components. Intelligence Community (IC) and U.S.
There’s an endless number of internal and external factors that contribute to an organization’s research accessibility across teams. This challenge leads to a reliance on multiple platform solutions, research blind spots, laborious data gathering, endless duplication of efforts across different teams, and a diminished ROI on research.
To keep up with all these changes, enterprises need a new approach to security. That’s where secure access service edge (SASE) technology comes in. What is Secure Access Service Edge (SASE)? ??Secure This shift is being driven by the need for organizations to provide better security and performance for their remote users.
With ongoing fluctuation and shifting variables, it’s important for investors to have the right information and resources to research and validate a potential deal. These reports also indicate cash flow, assets, liabilities, financing secured, and increasing or decreasing profitability.
Often, conducting investment research can be akin to mining for a nugget of gold—sifting through mountains of endless data with no guarantee of finding the precise insight you need. For investment firms, proprietary intelligence can include investment theses, pitch decks, memos, meeting notes, and research findings.
Good data handling and security best practices are a good start, but the volume of information in an enterprise requires automated monitoring, and that’s where DLP tools come in. Secure transport methods. Also see the Best Cloud Security Solutions. Also read: Implementing Best Practices for Data Loss Prevention.
The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value. Things will get worse.
Think of it as someone getting their hands on sensitive data that's locked behind a secure login without the proper clearance. This unethical practice not only defrauds consumers by offering inferior goods for a premium price but also violates intellectualproperty rights and brand integrity.
As generative AI (genAI) continues to transform global business practices, ranging from optimizing workforce efficiency, reducing costs, and speeding up research and development, industry analysts are beginning to scrutinize its applications with a critical eye. On the other hand, specialization plays a critical role in one’s research.
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