Tag: Cybersecurity

As President and CEO at Axiado, please share your background in AI-enabled hardware security.

As the President and CEO of Axiado, my journey in AI-enabled hardware security has been both challenging and exhilarating. Over the past four years, I’ve leveraged my extensive experience from IDT, Marvell and Qualcomm to drive innovation in this field. My background in the wired and wireless networking industry has been crucial in understanding and advancing these technologies.

I’m often referred to as a ‘thrill-seeking CEO,’ a title that reflects my love for extreme sports like skydiving and bungee jumping, as well as other active sports like basketball and cricket. These activities are more than hobbies for me; they symbolize my approach to business—taking calculated risks, embracing challenges, pushing my limits and constantly striving for excellence.

One of the most exciting technology developments I’ve witnessed in my career is the advent of generative AI. I believe it’s the most significant innovation since the smartphone, with the potential to revolutionize various sectors.

What inspired you to lead Axiado in addressing security challenges in cloud data centres and 5G networks?

In this rapidly evolving threat landscape, Axiado saw an opportunity to provide a new approach to cybersecurity and embarked on a mission to conceive a solution that would fortify existing security frameworks. This solution is designed to be reliable, self-learning, self-defending, AI-driven, and fundamentally anchored within hardware. This ambitious vision ultimately gave birth to the concept of trusted compute/control units (TCUs), a meticulously crafted solution designed from inception to deliver comprehensive security for data center control and management ports.

Can you provide an overview of AI-enabled hardware security against ransomware, supply chain, side-channel attacks, and other threats in cloud data centres and 5G networks?

According to IBM Security’s most recent annual Cost of a Data Breach Report, the average cost of a data breach reached a record high of $4.45 million in 2023. The report concluded that AI technology had the greatest impact on accelerating the speed of breach identification and containment. In fact, organizations that fully deployed AI cybersecurity approaches typically experienced 108-day shorter data breach lifecycles and significantly lower incident costs (on average, nearly $1.8 million lower) compared to organizations without AI these technologies.

The ability of a hardware-anchored, AI-driven security platform to continuously monitor and perform run-time attestation of cloud containers, platform operating systems, and firmware creates efficiencies that help reduce time spent investigating potential threats. A hardware solution that integrates AI into a chip can analyze behaviors and CPU usage. This enables it to immediately investigate anomalies in user activity. With this approach, networks can no longer be infiltrated because of software vulnerabilities or porous firmware. AI technology enables heterogeneous platforms that include root-of-trust (RoT) and baseboard management controllers (BMCs) to offer hierarchy and security manageability. By deterring cybercrime at the hardware level, the industry can finally address the long-standing shortfalls of online security.

To Know More, Read Full Interview @ https://ai-techpark.com/ai-tech-interview-with-gopi-sirineni/ 

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Shaun, could you please introduce yourself and elaborate your role as a CEO of NINJIO?

I’m Shaun McAlmont, CEO of NINJIO Cybersecurity Awareness Training. I came to NINJIO after decades leading organizations in higher education and workforce development, so my specialty is in building solutions that get people to truly learn.

Our vision at NINJIO is to make everyone unhackable, and I lead an inspiring team that approaches cybersecurity awareness training as a real opportunity to reduce organizations’ human-based cyber risk through technology and educational methodologies that really change behavior.

Can you share insights into the most underestimated or lesser-known cyber threats that organisations should be aware of?

The generative AI boom we’re experiencing now is a watershed moment for the threat landscape. I think IT leaders have a grasp of the technology but aren’t fully considering how that technology will be used by hackers to get better at manipulating people in social engineering attacks. Despite the safeguards the owners of large language models are implementing, bad actors can now write more convincing phishing emails at a massive scale. They can deepfake audio messages to bypass existing security protocols. Or they can feed a few pages of publicly available information from a company’s website and a few LinkedIn profiles into an LLM and create an extremely effective spearphishing campaign.

These aren’t necessarily new or lesser-known attack vectors in cybersecurity. But they are completely unprecedented in how well hackers can pull them off now that they’re empowered with generative AI.

With the rise of ransomware attacks, what steps can organisations take to better prepare for and mitigate the risks associated with these threats?

The first and biggest step to mitigating that risk is making sure that everyone in an organization is aware of it and can spot an attack when they see one. It took a ten-minute phone call for a hacking collective to breach MGM in a ransomware attack that the company estimates will cost it over $100 million in lost profits. Every person at an organization with access to a computer needs to be well trained to spot potential threats and be diligent at confirming the validity of their interactions, especially if they don’t personally know the individual with whom they’re supposedly speaking. The organizational cybersecurity culture needs to extend from top to bottom.

Building that overarching cultural change requires constant vigilance, a highly engaging program, and an end-to-end methodological approach that meets learners where they are and connects the theoretical to the real world.

To Know More, Read Full Interview @ https://ai-techpark.com/ai-tech-interview-with-dr-shaun-mcalmont-ceo-at-ninjio/ 

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The potential for deepfakes to sway public opinion and influence the outcome of India’s Lok Sabha is raising red flags throughout the cyber community. While Indians are deciding on which candidate best represents their views, deepfakes, and generative technologies make it easy for manipulators to create and spread realistic videos of a candidate saying or doing something that never actually occurred.

The Deepfake threat in politics

The use of deepfakes in politics is particularly alarming. Imagine a scenario where a political candidate appears to be giving a speech or making statements that have no basis in reality. These AI-generated impersonations, based on a person’s prior videos or audio bites, can create a fabricated reality that could easily sway public opinion. In an environment already riddled with misinformation, the addition of deepfakes takes the challenge to a whole new level.

For instance, the infamous case where Ukrainian President Volodymyr Zelensky appeared to concede defeat to Russia is a stark reminder of the power of deepfakes in influencing public sentiment. Though the deception was identified due to imperfect rendering, there is no way of knowing who believes it to be true even after being disproved, showcasing the potential for significant political disruption.

Deepfakes as a danger in the digital workplace

Employees, often the weakest link in security, are especially vulnerable to deepfake attacks. Employees can easily be tricked into divulging sensitive information by a convincing deepfake of a trusted colleague or superior. The implications for organisational security are profound, highlighting the need for advanced, AI-driven security measures that can detect anomalies in user behaviour and access patterns.

The double-edged sword of AI in cybersecurity

However, it’s important to recognize that AI, the very technology behind deepfakes, also holds immense capabilities to help hackers discover cybersecurity loopholes and breach business networks. While AI may help discover new vulnerabilities for threat actors, it also can be used to discover counter-measures, such as identifying patterns in data that would have otherwise gone unnoticed.

A system can then flag the potential Deepfake content and remove it before it achieves its goal. This can help bridge the global skills gap in cybersecurity, enabling analysts to focus on strategic decision-making rather than sifting through endless data.

Companies must prioritise AI-driven cybersecurity solutions as part of a broader, company-wide approach that intertwines safety with quality across all aspects of their operations. From online behaviour to development processes, a centralised AI- ingested understanding of an organisation’s baseline is crucial. Such technologies can identify breaches in real time, whether perpetrated by external threat actors or employees misled by deepfakes. This proactive stance is essential for maintaining integrity and security in a digital landscape increasingly complicated by AI technologies.

To Know More, Read Full Article @ https://ai-techpark.com/deepfakes-and-the-quest-for-authenticity-in-a-digital-world/ 

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There has always been a growing concern and realization of the need for environmental, social, and governance (ESG) factors as a critical component for successful business development across all sectors. From customers to stakeholders, regulators have been insisting companies consider the environmental impact and contribute their share of corporate social responsibility (CSR) programs to developing a greener society.

Consequently, with the rising competition, ESG factors have arisen as crucial considerations for IT organizations across the globe.

Therefore, to ignite that constant innovation and sustainability consciousness in a business, the Chief Technology Officer (CTO) must come forward to develop a strategic company by uniquely positioning the leverage of numerous technologies that eventually help the company stand out from its competitors.

Today’s exclusive AI Tech Park article aims to highlight the role of the CTO in the ESG journey and how implementing ESG will transform your IT organization.

The Relationship Between ESG and the CTO

The CTOs are the driving force behind the ESG initiative in an IT organization; however, the contribution of employees is equally vital to getting on board for a dignified project. The employees and C-suites need to understand the company’s vision and guide the CTO and IT employees to positively adopt the new ESG practices and prototype sustainability goals that will benefit the overall business. Let’s focus on some of the steps the CTOs can take to adopt their achievable sustainability goals:

Reputational Risk

The failure to integrate the ESG program into the business model can lead to reputational damage and legal risks for the IT firm. CTOs can clearly define their ESG agenda with the help of a supportive ESG team. Further, CTOs need to ensure that the investors are well aware of the required ESG information to let them participate in strategizing ESG goals rather than depending on third-party agencies.

As we move into a digitized business landscape, the incorporation of ESG has become an essential component of profitable business. The technologies implemented can be leveraged as a form of an ESG enhancement strategy with data and insights. CTOs and IT professionals also need to address ESG issues and integrate a modern approach that aligns security practices with business objectives.

To Know More, Read Full Article @ https://ai-techpark.com/the-role-of-ctos-in-esg/

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Eric, could you please introduce yourself and elaborate on your role as president at ProserveIT?

Hello, I’m Eric Sugar, President at ProServeIT, my focus is on helping clients set their strategic direction with regards to technology that enables their business.  Eric’s passion is teaching how technology can be leveraged by businesses to enable growth and added value.  As President at ProServeIT  I support our clients and team in creatively deploying and using technology.

Eric holds a Bachelor of Arts (Economics and Math) from the University of Toronto.

I’m an avid rower, cyclist and hockey player who can put a golf ball in the woods better than most.

Can you provide a concise overview of Zero Trust Architecture and its significance in modern cybersecurity?

Zero Trust Architecture (ZTA) is a security model that assumes that any user, system, or service operating within or outside of an organization’s network perimeter is untrustworthy until proven otherwise. It is based on the principle of “never trust, always verify” and requires strict identity verification for every person and device trying to access resources on a private network, regardless of their location. The principles behind a Zero Trust network include Identity and Access Management (IAM), Data Protection, and Network Segmentation

In the context of ZTA, how does the concept of “never trust, always verify” apply to both internal and external network environments? What are the key implications of this approach for organisations?

In the context of ZTA, the concept of “never trust, always verify” applies to both internal and external network environments. This approach has key implications for organizations, as it requires them to implement strict identity verification and access controls for every person and device trying to access their resources, regardless of their location. This helps organizations mitigate cybersecurity risks and protect sensitive data effectively

What are the key benefits of implementing Zero Trust Architecture, and how does it help organisations mitigate cybersecurity risks and protect sensitive data effectively?

The benefits of implementing ZTA include reducing the attack surface and preventing lateral movement by attackers within the network, as each resource is isolated and protected by granular policies and controls. It also enhances the visibility and monitoring of network activity and behavior, as each request and transaction is logged and analyzed for anomalies and threats.

To Know More, Read Full Interview @ https://ai-techpark.com/ai-tech-interview-with-eric-sugar-president-at-proserveit/

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In the early 2000s, many companies and SMEs had one or more C-suites that were dedicated to handling the IT security and compliance framework, such as the Chief Information Security Officer (CISO), Chief Information Officer (CIO), and Chief Data Officer (CDO). These IT leaders used to team up as policymakers and further implement rules and regulations to enhance company security and fight against cyber security.

But looking at the increased concerns over data privacy and the numerous techniques through which personal information is collected and used in numerous industries, the role of chief privacy officer, or CPO, has started playing a central role in the past few years as an advocate for employees and customers to ensure a company’s respect for privacy and compliance with regulations. 

The CPO’s job is to oversee the security and technical gaps by improving current information privacy awareness and influencing business operations throughout the organization. As their role relates to handling the personal information of the stakeholders, CPOs have to create new revenue opportunities and carry out legal and moral procedures to guarantee that employees can access confidential information appropriately while adhering to standard procedures.

How the CISO, CPO, and CDO Unite for Success

To safeguard the most vulnerable and valuable asset, i.e., data, the IT c-suites must collaborate to create a data protection and regulatory compliance organizational goal for a better success rate.

Even though the roles of C-level IT executives have distinct responsibilities, each focuses on a single agenda of data management, security, governance, and privacy. Therefore, by embracing the power of technology and understanding the importance of cross-functional teamwork, these C-level executives can easily navigate the data compliance and protection landscape in their organizations.

For a better simplification of the process and to keep everyone on the same page, C-suites can implement unified platforms that will deliver insights, overall data management, and improvements in security and privacy.

Organizational data protection is a real and complex problem in the modern digitized world. According to a report by Statista in October 2020, there were around 1500 data breaching cases in the United States where more than 165 million sensitive records were exposed. Therefore, to eliminate such issues, C-level leaders are required to address them substantially by hiring a chief privacy officer (CPO). The importance of the chief privacy officer has risen with the growth of data protection in the form of security requirements and legal obligations.

To Know More, Read Full Article @ https://ai-techpark.com/data-privacy-with-cpos/

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The ever-evolving digital landscape presents a constant challenge in the face of cyber threats. While traditional security methods offer a foundation, their limitations often become apparent. AI & Cybersecurity emerges as a powerful new tool, promising to enhance existing defenses and even predict future attacks. However, embracing AI necessitates careful consideration of ethical implications and fostering harmonious collaboration between humans and algorithms. Only through such mindful implementation can we build a truly resilient and secure digital future.

The digital frontier has become a battleground teeming with unseen adversaries. Cybercriminals, wielding an arsenal of ever-evolving malware and exploits, pose a constant threat to critical infrastructure and sensitive data. Traditional security methodologies, built upon rigid rule sets and static configurations, struggle to keep pace with the agility and cunning of these digital attackers. But on the horizon, a new solution emerges: Artificial intelligence (AI).

The Evolution of AI in Cybersecurity

AI-powered solutions are rapidly transforming the cybersecurity landscape, not merely enhancing existing defenses, but fundamentally reshaping the way we understand and combat cyber threats. At the forefront of this revolution lie cognitive fraud detection systems, leveraging machine learning algorithms to scrutinize vast datasets of financial transactions, network activity, and user behavior. These systems, adept at identifying irregular patterns and subtle anomalies, operate at speeds that surpass human analysis, uncovering fraudulent activity in real-time before it can inflict damage.

Gone are the days of rule-based systems, easily circumvented by attackers. AI-powered algorithms, in perpetual self-improvement, evolve alongside the threats. They learn from prior attacks, adapting their detection models to encompass novel fraud tactics and emerging trends. This approach significantly surpasses the static limitations of conventional methods, reducing false positives and ensuring a more resilient, adaptive defense.

The future of cybersecurity is intricately intertwined with the evolution of AI. By embracing the transformative potential of these algorithms, while remaining mindful of their limitations and fostering a human-centric approach, we can forge a future where the digital frontier is not a battleground, but a safe and secure terrain for innovation and progress. The algorithmic sentinel stands watch, a powerful ally in the ongoing quest for a more secure digital world.

To Know More, Read Full Article @ https://ai-techpark.com/evolution-of-ai-in-cybersecurity/

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According to research from VMware Carbon Black, ransomware attacks surged by 148% during the onset of the Covid-19 pandemic, largely due to the rise in remote work. Key trends influencing the continuing upsurge in ransomware attacks include:

Exploitation of IT outsourcing services: Cybercriminals are targeting managed service providers (MSPs), compromising multiple clients through a single breach.

Vulnerable industries under attack: Healthcare, municipalities, and educational facilities are increasingly targeted due to pandemic-related vulnerabilities.

Evolving ransomware strains and defenses: Detection methods are adapting to new ransomware behaviors, employing improved heuristics and canary files, which serve as digital alarms, deliberately placed in a system or to entice hackers or unauthorized users.

Rise of ransomware-as-a-service (RaaS): This model enables widespread attacks, complicating efforts to counteract them. According to an independent survey by Sophos, average ransomware payouts have escalated from $812,380 in 2022 to $1,542,333 in 2023.

Preventing Ransomware Attacks

To effectively tackle the rising threat of ransomware, organizations are increasingly turning to comprehensive strategies that encompass various facets of cybersecurity. One key strategy is employee education, fostering a culture of heightened awareness regarding potential cyber threats. This involves recognizing phishing scams and educating staff to discern and dismiss suspicious links or emails, mitigating the risk of unwittingly providing access to malicious entities.

In tandem with employee education, bolstering the organization’s defenses against ransomware requires the implementation of robust technological measures. Advanced malware detection and filtering systems play a crucial role in fortifying both email and endpoint protection. By deploying these cutting-edge solutions, companies can significantly reduce the chances of malware infiltration. Additionally, the importance of fortified password protocols cannot be overstated in the battle against ransomware. Two-factor authentication and single sign-on systems provide formidable barriers, strengthening password security and rendering unauthorized access substantially more challenging for cybercriminals.

To Know More, Read Full Article @ https://ai-techpark.com/top-trends-in-cybersecurity-ransomware-and-ai-in-2024/

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Could you please share some insights into your professional journey as APJ Field CISO Director at SentinelOne?

Prateek: The role of Field CISO is very interesting as it focuses on the value proposition of the security initiatives and deployments. This role helps me in cutting the prevailing noise in the industry because of the overwhelming number of jargon, overmarketing, and overpromises of the providers. At the same time, it helps the security leaders climb the maturity curve and define the security charter.

Can you provide an overview of the current cloud security landscape in the Asia Pacific Japan region and explain why it’s becoming an increasingly critical concern?

Prateek: The adoption of cloud technologies and platforms is only accelerating in the APJ region alongside the threat landscape, and the risks are increasing too. With businesses moving their critical business applications, data, and operations to the cloud, they are increasingly being targeted by threat actors as the organizations’ maturity level in cloud security is relatively lower than the traditional architecture. Additionally, the data protection and privacy laws in different countries and regions emphasize the need for cloud security.

According to you, what could be the key strategies and best practices that organizations should prioritize when securing their cloud platforms within the Asia Pacific Japan region?

Prateek: The first step is the realization that the approach to securing the cloud is different from the traditional approaches and understanding the shared responsibility model between the cloud service provider and the client. Cloud is not inherently secured but can be secured with the right policy, configurations, and controls. The journey to securing the cloud should start with Cloud Security Governance.

Can you identify specific challenges that organizations in the Asia Pacific Japan region typically encounter when it comes to maintaining the integrity and security of their cloud-stored data?

Prateek: Security in the cloud is more of an identity and access management issue. When the identities and access to cloud resources such as data storage are configured with secured configuration such as no public access to storage buckets, expiration of API tokens, etc, it will ensure the integrity and security of the data stored in the cloud.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-prateek-bhajanka/

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In today’s interconnected business environment, companies regularly rely on third parties for critical business functions like supply chain, IT services, and more. While these relationships can provide efficiency and expertise, they also introduce new cybersecurity risks that must be managed. More than 53% of businesses worldwide have suffered at least one cyber attack in the past 12 months and one in five firms attacked said it was enough to threaten the viability of the business. Recent high-profile breaches like the SolarWinds attack have highlighted the dangers of supply chain compromises. Implementing a comprehensive third party risk management program is essential for security. In this post, we’ll explore key strategies and best practices organizations can use to defend against cyber threats from third party relationships.

Limit Access and Segment Third Parties

Once a third party relationship is established, limit their access to only what is required for their role. Segment them into their own virtual network or cloud environment isolated from your core infrastructure. Implement the principle of least privilege access for their credentials. Disable unnecessary ports, protocols, and services. Lock down pathways between your network and the third party. The goal is to reduce their potential impact and restrict lateral movement if compromised.

Continuously Monitor for Threats

Monitor third party networks vigilantly for signs of compromise. Deploy tools like intrusion detection systems that generate alerts for anomalous behavior. Monitor for unusual data transfers, unauthorized changes, malware, and other IOCs. Conduct vulnerability scans and penetration testing against your third parties’ environments. Audit their logs and security events for issues impacting your security posture. The goal is early detection that can limit damage from a third party breach.

Practice Incident Response Plans

Even rigorous security can still experience incidents. Develop plans for quickly responding to a breach impacting a third party. Define escalation protocols and response team roles. Maintain contacts for your third parties’ security staff. Institute plans for containment, eradication, and recovery activities to limit the impact on your organization. Practice responding to mock third party breach scenarios to smooth out the process. Effective incident response can significantly reduce the damage from real world attacks.

Foster Strong Relationships with Third Parties

While security requirements and controls are critical, also focus on building strong relationships with your vendors, suppliers, and partners. Collaborate to improve security on both sides. Offer guidance and training to enhance their practices and controls. Recognize those who exceed expectations. Build rapport at the executive level so security is taken seriously. Cybersecurity does not have to be adversarial – work together to protect against shared threats.

Third party risk management is essential in modern interconnected business ecosystems. Businesses can no longer rely solely on their own security – all external connections must be assessed and managed.
To Know More, Read Full Article @ https://ai-techpark.com/third-party-risk-management-strategies-against-cyber-threats/

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