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Today, security teams worldwide are under immense pressure. Today’s cybercriminals are leveraging advanced techniques to breach security perimeters – ransomware attacks are more targeted, phishing campaigns are increasingly sophisticated, and attackers are exploiting new vulnerabilities.
As Middle Eastern countries accelerate digital transformation through smart cities, AI adoption, and giga-projects, cybersecurity threats are evolving faster than defenses can keep up. Every time a new security measure is implemented, attackers find ways to bypass it within a short period. Partnerships are crucial in this ecosystem.
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
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.
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.
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).
Traditional security approaches have become unsustainable for technology leaders navigating todays complex threat landscape. Information risk management is no longer a checkpoint at the end of development but must be woven throughout the entire software delivery lifecycle.
What happened In CrowdStrikes own root cause analysis, the cybersecurity companys Falcon system deploys a sensor to user machines to monitor potential dangers. What if theres an urgent security fix? If theres a security threat and potential exposure, you have to go through the testing process as quickly as you can, Prouty says.
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 others, it may simply be a matter of integrating AI into internal operations to improve decision-making and bolster security with stronger fraud detection. According to a Cloudera survey, 72% of business leaders agree that data governance is an enabler of business value, underscoring the critical link between secure data and impactful AI.
As policymakers across the globe approach regulating artificial intelligence (AI), there is an emerging and welcomed discussion around the importance of securing AI systems themselves. A key pillar of this work has been the development of a GenAI cybersecurity framework, comprising five core security aspects. See figure below.)
As new technologies emerge, security measures often trail behind, requiring time to catch up. This is particularly true for Generative AI, which presents several inherent security challenges. No Delete Button The absence of a delete button in Generative AI technologies poses a serious security threat.
However, these advancements come with heightened security risks. This expanded attack surface has made OT systems a prime target for cyber threats, underscoring the need for a robust security framework tailored to remote OT environments. However, visibility alone is not enough.
That means IT veterans are now expected to support their organization’s strategies to embrace artificial intelligence, advanced cybersecurity methods, and automation to get ahead and stay ahead in their careers. Maintaining network devices like routers, switches, and firewalls by hand are examples.”
It could be used to improve the experience for individual users, for example, with smarter analysis of receipts, or help corporate clients by spotting instances of fraud. Take for example the simple job of reading a receipt and accurately classifying the expenses. Its possible to opt-out, but there are caveats.
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance.
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.
The promised land of AI transformation poses a dilemma for security teams as the new technology brings both opportunities and yet more threat. 1] It is beyond human capabilities to monitor and respond to these attacks; it is also putting immense stress on security teams. Security technicians need to harness the power of AI.
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. To truly safeguard enterprise, government and industrial operations, organizations need a holistic 5G security solution.
One of the significant advantages of the cloud is that you get a lot of security controls out of the box. But these security controls can also block you from being productive! How are these security controls blocking me? You can bring your ideas to life within the hour, enabling experimentation and driving innovation.
For example, some clients explore alternative funding models such as opex through cloud services (rather than traditional capital expensing), which spread costs over time. Solution: Implement a robust security framework that includes regular risk assessments, threat modeling, and continuous monitoring.
For example, if a business prioritizes customer focus, IT must step up by improving digital channels and delivering personalized services. This process includes establishing core principles such as agility, scalability, security, and customer centricity.
Take cybersecurity, for example. A staggering 21% of organizations report a severe shortage of skilled cybersecurity professionals, with another 30% finding it difficult to find suitable candidates. Only 8% of organizations have a relatively easy time finding qualified cybersecurity experts.
Founded by Jeff Moss as a gathering that delved into the hacker mindset, to its current stature as a global industry-leading cybersecurity conference, Black Hat has been a beacon for both the establishment and underground innovators. Advanced DNS Security to identify bad domains and detect threats, which leverage DNS as a vector.
Analyst reaction to Thursday’s release by the US Department of Homeland Security (DHS) of a framework designed to ensure safe and secure deployment of AI in critical infrastructure is decidedly mixed. What if it goes rogue, what if it is uncontrolled, what if it becomes the next arms race, how will the national security be ensured?”
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 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.
This can involve assessing a companys IT infrastructure, including its computer systems, cybersecurity profile, software performance, and data and analytics operations, to help determine ways a business might better benefit from the technology it uses.
Whether you are a business leader, developer or security professional, understanding prompt attacks is essential. Palo Alto Networks has released Securing GenAI: A Comprehensive Report on Prompt Attacks Taxonomy, Risks and Solutions , groundbreaking research on adversarial prompt attacks targeting GenAI systems.
1 - New cyber guides unpack how to secure network edge wares Looking for insights and best practices for preventing and mitigating cyberattacks against network edge hardware and software devices, such as routers, VPN gateways, IoT devices, web servers and internet-facing operational technology (OT) systems? And a new U.K. And much more!
One example is toil. I’ll give you one last example of how we use AI to fight fraud. That’s an example of a problem humans could never solve at an appropriate scale with a payback that’s directly aligned with what we do in the business. These are live and dynamic environments where the inputs will change the outputs.
Like other data-rich industries, banking, capital markets, insurance and payments firms are lucrative targets with high-value information. Conversely, threat actors – from cybercriminals to nation-states – are harnessing AI to craft more sophisticated attacks, automate their operations, and evade traditional security measures.
Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. How do you build privacy, safety, security, and interoperability into the AI world? Thomas, based in St.
For example, a business that depends on the SAP platform could move older, on-prem SAP applications to modern HANA-based Cloud ERP and migrate other integrated applications to SAP RISE (a platform that provides access to most core AI-enabled SAP solutions via a fully managed cloud hosting architecture).
However, CIOs must still demonstrate measurable outcomes and communicate these imperatives to senior leadership to secure investment. According to Salesforces Perez, even though AI brings much opportunity, it also introduces complexity for CIOs, including security, governance, and compliance considerations.
Security and technology teams are under increasing pressure to strengthen their organizations cybersecurity posture. According to the National Cybersecurity Alliance , ransomware attacks, identity theft, assaults on critical infrastructure and AI-powered scams are all expected to escalate in 2025.
Managing change and transformation Paolo Sicca, group CIO of manufacturing company Industria Grafica Eurostampa, is an example of how his role is evolving. Training, communication, and change management are the real enablers.
However, while businesses across the globe leverage the vast benefits of these applications, they face an equally rapid rise in the complexity of securing their assets, delivering unprecedented challenges in detecting and tackling threats to their cybersecurity posture. According to Forrester, enterprises spend a mean of $2.4
Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. An example of the new reality comes from Salesforce.
Led by Pacetti, the company was able to reduce many variables in a complex system, like online sales and payments, data analysis, and cybersecurity. “We We use Google’s GA4 to compensate for missing analytics data, for example, by exploiting data from technical cookies.”
Rodney shares more insights on his comparison: “They connect disparate information, and they bring it together in a way that a security analyst doesn't expect. In the case of security folks, it’s in identifying and fixing vulnerabilities. It's flexible, cost-effective and fast.
For example: Direct costs (principal): “We’re spending 30% more on maintaining outdated systems than our competitors.” Business risk (liabilities): “Our legacy systems increase our cybersecurity exposure by 40%.” Operational drag (interest): “Our teams spend 25% of their time on workarounds rather than innovation.”
Fast food giant McDonalds, for example, dumped an AI-based ordering system in June after it wouldnt stop adding food to customer bills. [ The mother lode of meltdowns A faulty software update from cybersecurity vendor CrowdStrike in mid-July caused about 8.5 It seems like there were a combination of mistakes.
I give credit to all the team members within my group, from help desk to infrastructure to the application and software engineers to all of Novanta team members, because you can’t do cybersecurity alone, it’s a team event. I report to the board for oversight of the cybersecurity roadmap. So, always be honest. It’s moving very rapidly.
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