Addressing open source security gaps [Q&A]
Organizations face significant challenges with open source security, primarily due to the rapid pace at which open source vulnerabilities are identified compared to the slower pace of remediation efforts.
This discrepancy creates a scenario where security teams are constantly trying to catch up, struggling against an ever-growing list of vulnerabilities that pose serious threats to their systems.
The risks and rewards of Active Directory modernization [Q&A]
Active Directory (AD) was introduced in the late 90's when corporate networking barely had virtualization and remote work, not to mention cloud services.
AD controls authentication and authorization to most of an organization's on-premises applications and data, and through synchronization and federation with Entra ID, Okta or other cloud identity provider (IDP) provides these same controls to cloud applications and resources.
How the rise of large graphical models can give enterprises a crystal ball [Q&A]
A new AI technology is emerging alongside LLMs -- Large graphical models (LGMs). An LGM is a probabilistic model that uses a graph to represent the conditional dependence structure between a set of random variables.
Organizations can use LGMs to model the likelihood of different outcomes based on many internal and external variables.
The critical role of load balancing [Q&A]
When the internet first emerged, the need for load balancers was mainly to optimize the growing use of PC servers and to support the surge in Web traffic. Their basic functionality was designed to pool server resources to meet this demand.
Load balancers have come a long way since, becoming broadly accepted as essential for evolving IT infrastructure and the exponential growth of apps.
How cloud optimization can fight rising costs [Q&A]
Cloud costs have been rising of late, making it vital that enterprises get a grip on their cloud networks and ensure they’re optimizing them to get the best value.
We spoke to Atif Khan, CTO of infrastructure on demand company Alkira, to discuss how businesses can manage their cloud assets and keep spending under control.
AI's impact on the startup and innovation ecosystem [Q&A]
Early stage businesses face many challenges. Not least of these is selecting the right technology solutions, something made even more difficult by the emergence of new technologies.
We spoke to Paul Pluschkell, founder and CEO of StartupOS, to find out about how AI and other technologies can impact on new businesses.
Why cloud attacks no longer need malware [Q&A]
As organizations have come to rely more on the cloud, it's become an increasingly attractive target for cybercriminals seeking to steal data or extract ransoms.
In the past this has involved the use of malware, but as attackers get more sophisticated there’s a move towards different types of attack. We spoke to Shai Morag, SVP and general manager cloud security at Tenable, to discover more about these threats and how to tackle them.
Why software support AI chatbots should supplement, not supplant, human experts [Q&A]
Many enterprises have begun to rely more heavily on chatbots to provide software support, and this often means customers find it hard to get in contact with an experienced, human engineer when they encounter an issue that they need help resolving.
While this might save costs in the short term, it can seriously damage the company’s brand in the long term. We talked to Craig Mackereth, EVP, global service delivery at Rimini Street to find out about the overuse of AI chatbots for enterprise software support and ways that vendors could use generative AI to actually improve the customer experience.
AI crawlers -- what are they and why are they a problem? [Q&A]
Organizations have grappled with business threats posed by various automated bots and crawlers over the years. The latest flavor to take the spotlight is AI crawlers which source proprietary content to feed the AIs they serve.
We spoke to Eyal Benishti, CEO of IRONSCALES, to discuss AI crawlers and why it's important for security teams to establish boundaries for their use.
How 'internet fracturing' is challenging enterprise growth [Q&A]
We tend to think of the internet as being something that's the same all over the world, but with nations like China, India and Russia increasingly closing off the wider web to their citizens, is the global nature of the internet under threat?
We spoke to Ruoting Sun, VP of Product at Secureframe about the phenomenon of 'internet fracturing' and what it means for businesses.
Why new compliance rules are changing the game for CISOs [Q&A]
The job of the CISO is becoming increasingly complex, with new rules around security and compliance, disclosure requirements following incidents, and more.
We spoke to John Morello, CTO of Gutsy, a company which was the first to apply process mining to security, to find out how things are changing and how CISOs should respond.
Why robust KYC procedures are crucial for all SaaS companies [Q&A]
For banks, know-your-customer (KYC) measures amount to 40 percent of all anti money laundering (AML) compliance costs, totaling $5.7 million each year. This sum is tiny, however, compared to what is paid for non-compliance. In 2022, global fines for inadequate AML grew by 50 percent, almost reaching $5 billion.
We spoke to Vaidotas Šedys, head of risk management at web intelligence platform Oxylabs, to discover that KYC-related challenges are not just faced by banks but are an issue for proxy and web scraping service providers too.
Protecting sensitive data in the cloud [Q&A]
The use of sensitive data for business is crucial. The growing amount of sensitive data stored in cloud infrastructure and applications creates an increasing and constantly evolving data risk landscape for organizations.
The main cause of risk is how broadly this data is shared within and outside the organization, and how it is being used by users, services, or other applications. We spoke to Liat Hayun at Eureka Security about how this risk can be addressed while still allowing safe use and storage of data.
The role of data governance in developing AI [Q&A]
The term 'prompt engineer' has become a bit of a buzz word for future-of-work topics. What isn't discussed as much, and is arguably more important to AI models, is the role of the data governance architect.
Satish Jayanthi, CTO & co-founder of Coalesce believes that without good data governance, organizations will go nowhere in extracting value from AI and ML models. We talked to him to find out more.
How to ensure customers and developers are on the same page [Q&A]
It should be the case that in the business world systems deliver for the customer. But often there can be conflict between what the customer wants -- usability and feeling valued -- and what the developer is looking to provide -- technical mastery, collaboration and self-serve capabilities.
We spoke to Gilad Shriki, co-founder of Descope to discover how enterprises can satisfy the needs of both.
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