This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The Cybersecurity Maturity Model Certification (CMMC) serves a vital purpose in that it protects the Department of Defense’s data. But certification – which includes standards ensuring that businesses working with the DoD have strong cybersecurity practices – can be daunting.
These advancements offer immense economic growth and innovation potential, but they also introduce new cybersecurity challenges. Securing these technologies is paramount in a region where digital infrastructure is critical to national development. Huawei takes pride in its compliance,” Malik explained. “We
As organizations look to modernize IT systems, including the mainframe, there’s a critical need to do so without sacrificing security or falling out of compliance. But that’s a balancing act that is easier said than done, especially as cybersecurity threats grow increasingly sophisticated. PCI DSS v4.0).
Recognizing this, INE Security is launching an initiative to guide organizations in investing in technical training before the year end. This approach not only ensures wise expenditure of remaining budgets but also significantly strengthens organizational security postures.
In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.
Oren Yunger is an investor at GGV Capital , where he leads the cybersecurity vertical and drives investments in enterprise IT, data infrastructure, and developer tools. He was previously chief informationsecurity officer at a SaaS company and a public financial institution. So why is compliance alone not enough?
The hope is to have shared guidelines and harmonized rules: few rules, clear and forward-looking, says Marco Valentini, group public affairs director at Engineering, an Italian company that is a member of the AI Pact. The first consists of information exchange within the AI Pact network. The Pact is structured around two pillars.
INE Security , a global provider of cybersecurity training and certification, today announced its initiative to spotlight the increasing cyber threats targeting healthcare institutions. Healthcare cybersecurity threats and breaches remain the costliest of any industry with the average data breach in a hospital now costing about $10.93
Meta will allow US government agencies and contractors in national security roles to use its Llama AI. The clarity on data sharing could be crucial, as it may impact how effectively the model adapts to government-specific needs while maintaining data security.
But if everyone knows that the development team is the lifeblood of your application and company, why are they often saddled with embedded technologies they don’t enjoy using? That means easy embedding, data integrations, seamless automation, total security, and much more. Choosing the right embedded partner matters.
But when it comes to cybersecurity, AI has become a double-edged sword. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses.
However, this leap in computing power poses significant challenges, particularly for cybersecurity, which forms the backbone of data protection in our digital world. The Risks for Businesses and Organizations Quantum computing introduces vulnerabilities that could disrupt how organizations secure their data.
However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.
To thrive in todays business environment, companies must align their technological and cultural foundations with their ultimate goals. The answer informs how you integrate innovation into your operations and balance competing priorities to drive long-term success. They ask: Where do we need to be in five or 10 years?
For instance, AT&T launched a comprehensive reskilling initiative called “Future Ready” to train employees in emerging technologies such as cloud computing, cybersecurity, and data analytics. Organizations fear that new technologies may introduce vulnerabilities and complicate regulatory compliance.
Reinvention-ready companies are positioned to succeed in the long term, Tay observes. If not, Thorogood recommends IT leaders build platforms that savvy business managers can use and encourage or require compliance with enterprise standards and processes. Are they still fit for purpose?
It has been sluggish on the M&A front in most sectors all year — and cybersecurity is no different. However, on Thursday New York-based data security startup Cyera bought data loss prevention firm Trail Security for $162 million. In April, Cyera raised a $300 million Series C led by Coatue at a $1.4 billion valuation.
In modern business, cybersecurity is not merely a technical concern but a crucial financial safeguard. With cyber threats growing in sophistication and frequency, the financial implications of neglecting cybersecurity training are severe and multifaceted. The average cost of a data breach ballooned to $4.88
Adopting multi-cloud and hybrid cloud solutions will enhance flexibility and compliance, deepening partnerships with global providers. Cybersecurity will be critical, with AI-driven threat detection and public-private collaboration safeguarding digital assets. Cybersecurity continues to be a significant concern globally.
Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. Both types of gen AI have their benefits, says Ken Ringdahl, the companys CTO.
Let me give you a few examples of this in action: Smart 5G Networks I recently met with a telecommunications company that has been combining AI with 5G to build smart 5G networks. Critical Infrastructure A global oil and gas exploration and production company, with offices in remote locations, decided to centralize its SCADA systems.
One Identity , a leader in unified identity security, today announced that One Identity Active Roles has been named a winner in the Hybrid Active Directory Protection category of the 2025 Cybersecurity Excellence Awards. This year marks the 10th anniversary of the awards, making this recognition particularly meaningful.
CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. However, CIOs must still demonstrate measurable outcomes and communicate these imperatives to senior leadership to secure investment. To respond, CIOs are doubling down on organizational resilience.
Other key uses include fraud detection, cybersecurity, and image/speech recognition. Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. Companies are seeking ways to enhance reporting, meet regulatory requirements, and optimize IT operations.
After more than a decade leading the digital transformation and cybersecurity initiatives of the services company, hes managed to forge a synergy where tech and informationsecurity are established as fundamental pillars for business success. Technology exists at the foundation of the company, he says.
Securities and Exchange Commission (SEC)began enforcing new cybersecurity disclosure rules. This pushed C-level executives and boards to adopt measures for compliance and transparency. In this post, we look at the enforcement actions the SEC has taken and what public company CISOs should do to stay in compliance.
Financial Institutions Are Facing Growing Security Challenges Financial organisations face unprecedented cybersecurity challenges that threaten their operations, reputation and customer trust. Together, Palo Alto Networks and IBMs experts share their top cybersecurity considerations in a new, compelling vodcast series.
The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Formulate a plan to bring those workstreams up to speed.
Core principles of sovereign AI Strategic autonomy and security Countries, whether individually or collectively, want to develop AI systems that are not controlled by foreign entities, especially for critical infrastructure, national security, and economic stability.
Cybersecurity and systemic risk are two sides of the same coin. As we saw recently with the CrowdStrike outage, the interconnected nature of enterprises today brings with it great risk that can have a significant negative effect on any company’s finances. This should be no surprise since the global average cost of a data breach is $4.88
As such, cloud security is emerging from its tumultuous teenage years into a more mature phase. The initial growing pains of rapid adoption and security challenges are giving way to more sophisticated, purpose-built security solutions. This alarming upward trend highlights the urgent need for robust cloud security measures.
Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. Before we go further, let’s quickly define what we mean by each of these terms.
However, from a companys existential perspective, theres an even more fitting analogy. We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies. However, there is good news for smaller companies.
This is particularly important for our customers functioning in highly regulated industries who have to keep up with continually changing security, privacy, and compliance requirements. This means approaching security as an integral and continuous part of the cycle. However, sometimes it is not enough.
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. The latter issue, data protection, touches every company. Key challenges CISOs are and should be concerned about several AI-related areas in their cybersecurity pursuits. One is the monitoring of employees AI use.
The cybersecurity industry will experience tectonic shifts in 2025, unlike any we’ve seen in years past. These historic transformations will see the convergence of AI, data and platform unification, altogether changing how both cybersecurity defenders and attackers will operate and innovate.
By adopting AI-driven approaches, businesses can better anticipate potential threats, make data-informed decisions, and bolster the security of their assets and operations. The delicate balance between utilizing AI’s predictive power and guarding against its potential risks is crucial for maintaining operational security.
Vibram certainly isn’t an isolated case of a company growing its business through tools made available by the CIO. Emmelibri Group, a subsidy of Italian publishing holding company Messaggerie Italiane, is moving applications to the cloud as part of a complete digital transformation with a centralized IT department.
The code will outline exactly how companies can comply with the broad set of regulations. Following that, the completed code of practice will be presented to the European Commission for approval, with compliance assessments beginning in August 2025.
In today’s digital landscape, safeguarding sensitive information has become a top priority, especially for media publishing companies where the protection of data and intellectual property is crucial. Cybersecurity GRC by design concept implemented and embraced the users and all stakeholders to practice it.
At Lux, Isford invests in the companies working behind the scenes to make sure crypto exchanges are secure and reliable enough to avoid being hacked. Compared to web2, Isford said, web3 lacks enterprise-level security solutions. Another major challenge is managing fraud and downside risk, Isford added.
By 2028, 30% of S&P companies will use GenAI labeling, such as “xxGPT,” to reshape their branding while chasing new revenue. As the GenAI landscape becomes more competitive, companies are differentiating themselves by developing specialized models tailored to their industry,” Gartner stated.
Were proud to announce that Cloudera signed the Cybersecurity and Infrastructure Security Agency (CISA) Secure by Design pledge , joining a network of industry leaders dedicated to embedding security at every stage of the product lifecycle. What is the Secure by Design Pledge? Why is Secure by Design so Important?
We organize all of the trending information in your field so you don't have to. Join 49,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content