Archive for category: News

Security Silos No More. – “The days of siloed security operations are behind us. Cybersecurity is now a critical conversation occurring at the highest levels of business and being intricately woven into every facet of operations.”

Navigating Internal and External Threats with Agility – “Organizations must contend with external hackers and internal employees who misuse resources (consciously or unconsciously) or engage in nefarious activities. The adoption of zero-trust models and emphasis on identity threat management in the face of these risks exemplifies a shift towards more sophisticated, data-driven security practices. These approaches not only defend against known threats, but also anticipate and mitigate potential vulnerabilities from within.”

Beyond Traditional Defenses: Embracing Comprehensive Security – “Modern security has evolved from a peripheral concern to a central element of strategic business planning. The harsh reality is that companies can now face closure due to a security breach, as demonstrated by numerous unfortunate instances. This shift signifies a transition from conventional security protocols to a comprehensive security model that integrates every facet of organizational operations. Through such integration, organizations enhance their ability to effectively anticipate, respond to, and recover from cyber threats.”

The Elusive Cybersecurity Nirvana – “Technological advancements, such as artificial intelligence (AI) and machine learning (ML), have revolutionized security monitoring. These technologies enable organizations to detect and respond to threats more efficiently by analyzing vast amounts of data to identify patterns and predict potential security incidents. Comprehensive security encompasses a multifaceted approach that extends beyond these technological defenses to include policy, governance, and human factors. It blends business acumen with security expertise, integrating solutions into an interconnected system that supports business continuity and creates value.”

Building a Resilient Future – “As organizations navigate the intricacies of the threat landscape, cybersecurity success will be defined by an emphasis on risk and resilience, alongside a proactive, data-driven approach. This integration of security monitoring services within a comprehensive security framework represents a pivotal shift in how organizations approach cyber defense. By seamlessly combining advanced monitoring capabilities, strategic planning, and a profound understanding of business operations, organizations can establish a resilient security posture.”

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While artificial intelligence (AI) is a hot topic and an almost necessary feature to add to your business systems, professionals often find themselves unable to truly leverage it. Sometimes they don’t fully understand AI’s capabilities, and other times they don’t fully utilize all the tools AI has to offer. Bernard Marr, strategic business & technology advisor, shares an article on Forbes mapping a strategic blueprint on how businesses should and should not use AI effectively.

Start With Strategy, Not Technology – “Before diving in, companies need to identify clear use cases where AI can have a meaningful impact that is aligned with business objectives. Whether it’s improving supply chain efficiencies, personalizing marketing efforts, or enhancing customer service, the key is to ensure that AI solutions address specific pain points and add tangible value.”

Ethical Considerations And Bias Mitigation – “As businesses explore AI, it’s crucial to address the ethical implications and work actively to mitigate biases in AI models. By maintaining transparency in data and algorithmic processes, companies can prevent the detrimental effects of biased AI, thereby upholding both ethical standards and customer trust.”

Regulatory Compliance And Legal Issues – “Regulatory compliance, including adherence to data protection laws like GDPR in Europe and CCPA in California, must be a priority. A case in point is the healthcare sector, where companies have leveraged AI while rigorously adhering to HIPAA regulations, showcasing how compliance can be seamlessly integrated into innovative AI solutions.”

Technology Infrastructure Requirements – “Modern cloud AI solutions provide an illustrative example of integrating AI into existing IT ecosystems, offering advanced data storage and computing capabilities tailored to support intensive AI operations. Businesses must consider these infrastructure needs early in the planning process to ensure seamless AI integration and scalability.”

The Pilot Paradox – “A common pitfall for many companies is the enthusiasm to create AI pilots without a roadmap for scaling them. These pilots often generate buzz but fizzle out without leaving a substantial impact on the business. Scaling AI requires not just technological readiness but also alignment with business operations and strategic vision. A successful transition from pilot to scale involves meticulous planning, cross-functional collaboration, and, sometimes, a dose of courage to push through organizational inertia.”

Cultivating The Right Culture – “Technology may be at the heart of AI, but people are the soul. For AI to thrive, creating the right organizational culture is paramount. This means cultivating an environment where innovation is encouraged and failures are seen as stepping stones to success.”

Taking People On The AI Journey – “Businesses need to ensure that they take their people along on the AI journey. This involves engaging with employees across all levels—talking, listening, and most importantly, addressing their concerns and aspirations regarding AI.”

Learning And Sharing Best Practices – “Sharing best practices and learnings not only within the organization but also with peers and industry cohorts can provide fresh insights and prevent common pitfalls. This collaborative approach can lead to a more robust AI strategy that benefits from collective experiences and innovations.”

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The ever-growing presence of cyber attacks and ransomware threats calls for an increased need in cybersecurity efforts for your business. One way to evolve your security operations is with artificial intelligence (AI). With cybersecurity threats evolving rapidly, the combination of AI in your security operations is almost essential. Tony Bradley, cybersecurity expert and Editor-in-Chief of TechSpective, shares an article on Forbes on how to evolve your security operations with AI by finding ways to leverage its strengths to improve security while accounting for its weaknesses and avoiding unnecessary pitfalls. “Automation through AI allows for quicker responses and more effective threat management,” Bradley states, “while AI-driven analytics provide deeper insights into security data, enhancing visibility across diverse and complex environments.”  Matt McKeever, CTO of Cloud Engineering at LexisNexis, adds, “AI can take over the grunt work of filtering through logs and writing detection rules, effectively promoting entry-level analysts to more advanced roles where they can focus on critical decision-making.” Automation with AI has been a game-changer in many aspects of your business systems, and cybersecurity is no different. Bradley notes that AI-driven automation not only speeds up these processes but also introduces accuracy and consistency, allowing humans to focus on more strategic security decisions. Moreover, he stresses that AI is going to continue to play a crucial role in evolving security operations. “By enhancing visibility, automating processes, and leveraging collaborative innovation, AI is setting new standards in the cybersecurity field, promising a more secure and efficient approach to tackling digital threats.”

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Business big and small are not immune to cyberattacks, especially in today’s vast digital landscape. Cybercriminals are becoming more clever and sophisticated by exploiting vulnerabilities faster than we can patch them up. Tony Bradley, cybersecurity expert and Editor-in-Chief of TechSpective, shares an article on Forbes with a key weapon to combat these cybersecurity threats in endpoint management: the artificial intelligence (AI) and automation. “These two tools offer a robust solution to augment human resources and bolster security postures,” says Bradley. He also cites Verizon’s 2024 Data Breach Investigations Report where it says that it takes organizations about 55 days to patch 50% of critical vulnerabilities once they appear in the CISA Known Exploited Vulnerabilities catalog. Meanwhile, the median time for a vulnerability in the CISA KEV catalog to be scanned by threat actors is just 5 days. “This disparity leaves a significant window of opportunity for cyberattacks,” he notes. “Additionally, a majority of breaches involve vulnerabilities that are over six months old, highlighting the persistent problem of delayed patching and vulnerability management.”  Bradley shares two effective roles you can include AI and Automation in your organization’s cybersecurity business model: Leveraging AI for enhanced security and automating compliance and risk management.

Leveraging AI for Enhanced Security. “The use of AI in cybersecurity offers significant advantages, particularly in prioritizing vulnerabilities and detecting threats in real-time. By using a combination of AI services for prompt writing, result generation, and result analysis, organizations can improve the overall performance of their AI-driven security measures​​.”

Automating Compliance and Risk Management. “Automation also plays a pivotal role in maintaining compliance with various security standards such as HIPAA and PCI. Organizations need to employ solutions with built-in capabilities to automatically monitor and enforce compliance, snapping endpoints back to the required standards whenever deviations are detected​​. This not only helps in passing compliance audits but also ensures that security best practices are consistently followed across the organization.”

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