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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.
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).
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?
At Palo Alto Networks, we've pioneered the integration of AI-driven solutions specifically designed to empower security teams and enhance operational efficiencies. Availability of AI Copilots Palo Alto Networks AI copilots are already transforming the way cybersecurity professionals interact with their technology environments.
At every step of the way, we offer development teams the tools they need to make their premier analytic applications faster, more efficient, and all with fewer resources than ever before. That means easy embedding, data integrations, seamless automation, total security, and much more.
So given the current climate of access and adoption, here are the 10 most-used gen AI tools in the enterprise right now. Launched in 2023, it leverages OpenAIs GPT-4 foundational LLM and is the second most used gen AI tool. Gemini is integrated with Google Workspace tools like Gmail, Docs, and Slides.
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.
Plus, learn why GenAI and data security have become top drivers of cyber strategies. And get the latest on the top “no-nos” for software security; the EU’s new cyber law; and CISOs’ communications with boards. This includes monitoring the usage of unapproved AI tools by employees — an issue known as “shadow AI.”
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. In 2025, data management is no longer a backend operation.
In this special edition, we’ve selected the most-read Cybersecurity Snapshot items about AI security this year. ICYMI the first time around, check out this roundup of data points, tips and trends about secure AI deployment; shadow AI; AI threat detection; AI risks; AI governance; AI cybersecurity uses — and more.
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.
Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance. As digital transformation accelerates, so do the risks associated with cybersecurity.
As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool. Cloud skills include programming languages, database management, DevOps, security, containerization and microservices, data visualization, AI and ML, and automation.
Across the world, governments are turning to AI to get things done faster and smarterfrom the US upgrading old systems to the UK testing tools like Red Box to simplify public services and reduce red tape. Its a bold move that could reshape how governments and businesses think about regulation, compliance, and the future of legal systems.
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.
Theyre actively investing in innovation while proactively leveraging the cloud to manage technical debt by providing the tools, platforms, and strategies to modernize outdated systems and streamline operations. They achieved these results through a culture that embraces change and a strong digital foundation, he says.
Security was another constant challenge. In response, traders formed alliances, hired guards and even developed new paths to bypass high-risk areas just as modern enterprises must invest in cybersecurity strategies, encryption and redundancy to protect their valuable data from breaches and cyberattacks.
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
The cybersecurity threats that loom large today look different than those even just a few years ago. Likewise, the way cybersecurity threats manifest in the years to come is all but certain to evolve. Myriad policies and security regulations play a role in shaping an organizations cybersecurity approachfrom HIPAA to GDPR.
tagging, component/application mapping, key metric collection) and tools incorporated to ensure data can be reported on sufficiently and efficiently without creating an industry in itself! Data protection and privacy: Ensuring compliance with data regulations like GDPR and CCPA.
CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. CIOs and CISOs must stay hyper-vigilant and aggressive in adopting new frameworks and tools. AI is a powerful tool that can drive innovation, improve decision-making, and streamline operations, says Rajavel.
Its all the areas around it that have to come into alignment: the data, security, governance, the controls, and the risk, legal, and compliance departments all working together with IT functions and business leaders. Gaining momentum To date, the IT function has had the most success getting value from gen AI.
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.
As operational technology (OT) environments undergo rapid digital transformation, so do their security risks. We’re pleased to announce new advancements in our OT Security solution designed to address these evolving risks. These advancements ensure seamless security while minimizing the risk of disruption.
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. Cybersecurity is also integral to Garca Dujos approach to transform.In
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.
Cybersecurity and systemic risk are two sides of the same coin. Although it was not a security event, the symptoms and responses all fall into the various categories of the cybersecurity program for any company. Systemic risk and overall cybersecurity posture require board involvement and oversight.
Cloudera’s survey revealed that 39% of IT leaders who have already implemented AI in some way said that only some or almost none of their employees currently use any kind of AI tools. In fact, among surveyed leaders, 74% identified security and compliance risks surrounding AI as one of the biggest barriers to adoption.
In the first installment of our Stronger Cloud Security in Five blog series, we outline five best practices for boosting your cloud configuration management. In addition, having misconfigured cloud resources puts your organization on the wrong side of regulatory compliance, and thus open to costly penalties, fines and litigation.
The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy. And there are thousands of gen AI-related open source tools, on top of the models themselves.
The Federal InformationSecurity Management Act (FISMA) provides a structured approach to safeguarding government information and assets against security threats. Key highlights: FISMA compliance is essential for organizations handling government data, ensuring robust security controls and regulatory adherence.
With increasing data privacy and security regulations, geopolitical factors, and customer demands for transparency, customers are seeking to maintain control over their data and ensure compliance with national or regional laws. As organizations expand globally, securing data at rest and in transit becomes even more complex.
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. Key challenges CISOs are and should be concerned about several AI-related areas in their cybersecurity pursuits. As AI solutions become more pervasive , its time to advance these organizational efforts in 2025.
Manish Limaye Pillar #1: Data platform The data platform pillar comprises tools, frameworks and processing and hosting technologies that enable an organization to process large volumes of data, both in batch and streaming modes. Pillar #2: Data engineering This function is responsible for transforming raw data into curated data products.
The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. Business objectives must be articulated and matched with appropriate tools, methodologies, and processes. But this scenario is avoidable. Check out this webinar to get the most from your cloud analytics migration.
There is a pending concern about how to manage AI agents in the cloud, says Dave McCarthy, research vice president at IDC, noting that the expanding availability of AI agents from startups and established vendors will give CIOs asset management, security, and versioning challenges.
In CIOs 2024 Security Priorities study, 40% of tech leaders said one of their key priorities is strengthening the protection of confidential data. Protecting data from bad actors In an era where cyber threats are increasingly sophisticated, organizations must adopt a proactive security strategy to safeguard sensitive data.
Too quickly people are running to AI as a solution instead of asking if its really what they want, or whether its automation or another tool thats needed instead, says Guerrier, currently serving as CTO at the charity Save the Children. Are we prepared to handle the ethical, legal, and compliance implications of AI deployment?
This award-winning access management project uses automation to streamline access requests and curb security risks. Access management is crucial in the legal world because cases depend on financial records, medical records, emails, and other personal information. There’s no more waiting for their requests to be manually reviewed.”
Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Ensure security and access controls. Ensure data governance and compliance. Choose the right tools and technologies.
Wondering what cybersecurity trends will have the most impact in 2025? Check out six predictions from Tenable experts about cyber issues that should be on your radar screen in the new year including AI security, data protection, cloud security and much more! After all, data is the fuel that powers businesses.
Rather than view this situation as a hindrance, it can be framed as an opportunity to reassess the value of existing tools, with an eye toward potentially squeezing more value out of them prior to modernizing them. A first step, Rasmussen says, is ensuring that existing tools are delivering maximum value.
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.
Network security analysis is essential for safeguarding an organization’s sensitive data, maintaining industry compliance, and staying ahead of threats. This article dives into how to conduct a network security assessment, its importance across industries, and best practices for long-term remediation and security.
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