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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.
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.
INE Security , a global provider of cybersecuritytraining and certification, today announced its initiative to spotlight the increasing cyber threats targeting healthcare institutions. Every member of a healthcare team from physicians to IT personnel plays a role in cybersecurity, said Dara Warn, CEO of INE Security.
For this reason, the AI Act is a very nuanced regulation, and an initiative like the AI Pact should help companies clarify its practical application because it brings forward compliance on some key provisions. Inform and educate and simplify are the key words, and thats what the AI Pact is for.
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 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. Looking for help with shadow AI? Want to boost your software updates’ safety? New publications offer valuable tips.
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 cybersecuritytraining are severe and multifaceted. The average cost of a data breach ballooned to $4.88
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.
If there is a single theme circulating among Chief InformationSecurity Officers (CISOs) right now, it is the question of how to get stakeholders on board with more robust cybersecuritytraining protocols. Framing cybersecuritytraining as an essential investment rather than an optional expense is critical.”
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.
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.
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.
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.
If not, Thorogood recommends IT leaders build platforms that savvy business managers can use and encourage or require compliance with enterprise standards and processes. Double down on cybersecurity In 2025, there will be an even greater need for CIOs to fully understand the current cybersecurity threat landscape.
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. Another benefit is that with open source, Emburse can do additional model training.
Evolving Role and Responsibilities of CISOs The role of the Chief InformationSecurity Officer is expanding. Furthermore, as business and technology become increasingly intertwined, the role of the Chief InformationSecurity Officer has become crucial in bridging this gap.
GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. With companies increasingly operating on a global scale, it can require entire teams to stay on top of all the regulations and compliance standards arising today.
There are two main considerations associated with the fundamentals of sovereign AI: 1) Control of the algorithms and the data on the basis of which the AI is trained and developed; and 2) the sovereignty of the infrastructure on which the AI resides and operates.
That approach to data storage is a problem for enterprises today because if they use outdated or inaccurate data to train an LLM, those errors get baked into the model. The consequence is not hallucinatingthe model is working properlyinstead, the data training the model is wrong. Who is allowed to look at particular data?
CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. This involves establishing guardrails around AI, performing disaster training exercises, mitigating third-party threats, and more. To respond, CIOs are doubling down on organizational resilience.
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.
As data is moved between environments, fed into ML models, or leveraged in advanced analytics, considerations around things like security and compliance are top of mind for many. In fact, among surveyed leaders, 74% identified security and compliance risks surrounding AI as one of the biggest barriers to adoption.
What is playing on the minds of senior IT executives confronted with the multiple challenges of cybersecurity and compliance? One attendee, a global head of cybersecurity, shared insights into navigating ISO and SOC certifications – referring to it the “certification jungle”. Here are five main takeaways from the event.
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.
Ecosystem warrior: Enterprise architects manage the larger ecosystem, addressing challenges like sustainability, vendor management, compliance and risk mitigation. Data protection and privacy: Ensuring compliance with data regulations like GDPR and CCPA. This requires long-term thinking and investment.
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.
The financial and security implications are significant. This disconnect creates ongoing friction that affects operational efficiency, inflates costs, weakens security and hampers our ability to innovate. Features like time-travel allow you to review historical data for audits or compliance.
If your AI strategy and implementation plans do not account for the fact that not all employees have a strong understanding of AI and its capabilities, you must rethink your AI training program. Are we prepared to handle the ethical, legal, and compliance implications of AI deployment? She advises others to take a similar approach.
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.
Following that, the completed code of practice will be presented to the European Commission for approval, with compliance assessments beginning in August 2025. Srinivasamurthy pointed out that key factors holding back enterprises from fully embracing AI include concerns about transparency and data security.
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.
These standards form the foundation of cybersecurity measures within the healthcare sector, ensuring compliance, mitigating risks, and safeguarding patient trust. Understanding these requirements is critical for healthcare organizations to meet regulatory obligations and secure sensitive data effectively.
Agentic AI worries me on that front because fraudsters can use the technology to exploit weaknesses in security. Its also possible to train agentic AI to recognize itself and determine that responses during a verification are likely coming from a computer. Business verification might sound like an ideal use case for the technology.
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.
Today, cloud providers may offer better cybersecurity protections than many companies can provide on-premises. The security professional shortage Some 3.5 million cybersecurity jobs are unfilled globally, with 750,000 of them in the U.S., according to researchers at Cybersecurity Ventures.
The reasons include higher than expected costs, but also performance and latency issues; security, data privacy, and compliance concerns; and regional digital sovereignty regulations that affect where data can be located, transported, and processed. Adding vaults is needed to secure secrets. But should you?
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 intellectual property.
Without this setup, there is a risk of building models that are too slow to respond to customers, exhibit training-serving skew over time and potentially harm customers due to lack of production model monitoring. Cybersecurity underwent a similar evolution over the past 20 years.
Talk may be cheap, but when it comes to IT security, strategic conversations with colleagues, business partners, and other relevant parties can be priceless. Such discussions ensure the integration of cybersecurity initiatives and resource requirements in the enterprise’s business goals and objectives,” he adds.
And third, systems consolidation and modernization focuses on building a cloud-based, scalable infrastructure for integration speed, security, flexibility, and growth. Were piloting Simbe Robotics Tally robots, which improve on-shelf availability, pricing accuracy, promotional compliance, and supply chain operations.
Plus, a new guide says AI system audits must go beyond check-box compliance. And get the latest on cloud security, SMBs' MFA use and the CIS Benchmarks. Document the secure baseline configurations for all IT/OT systems. Secure internet-facing devices. Dive into six things that are top of mind for the week ending Nov.
Thats why we view technology through three interconnected lenses: Protect the house Keep our technology and data secure. Educating and training our team With generative AI, for example, its adoption has surged from 50% to 72% in the past year, according to research by McKinsey. Does their contract language reflect responsible AI use?
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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