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Social Engineering Hacking—Attack Types and Examples

Social Engineering Hacking—Attack Types and Examples

Security tactics such as IT audits, pentesting, vulnerability scanning, reports and alerts are highly sophisticated. Yet, social engineering hacking is able to circumvent this technology by ‘hacking’ our brain instead—taking advantage of our trust, fear, politeness, or inattention. This specific type of hacking may be supported by technology; but the catalyst is psychological exploitation.

BlogIT Support
Six IT Cost-Saving Strategies for Small and Midsize Businesses

Six IT Cost-Saving Strategies for Small and Midsize Businesses

Small and midsize companies are always looking for ways to save money without jeopardizing their mission and business operations. At the same time, shifts in the market and economic headwinds like inflation, technology advancements, and the threat of recession, bring uncertainty and new challenges that continually “stress test” a company’s workforce, systems, and security.

BlogRegulatory Compliance
What is Penetration Testing in Cybersecurity? | Pen Testing

What is Penetration Testing in Cybersecurity? | Pen Testing

What is penetration testing in cybersecurity? This blog post defines pentesting and explains the demand for it. It also sets out various pentesting approaches and what you can expect from pentest reports. Finally, it concludes with a strong business case for its adoption, along with some principles to help you commission or conduct successful pentests.

AIBlog
Supercharging IT Delivery with Artificial Intelligence Technology

Supercharging IT Delivery with Artificial Intelligence Technology

There is an incredible amount of buzz about artificial intelligence at the moment. Everyone seems to be talking about it and many have already jumped in to explore its power and potential benefits. But what does artificial intelligence (AI) mean in real-world terms, and how will it fit within today’s existing technology landscape, particularly for small and medium businesses (SMBs)? In the end, will AI be a powerful enabler, a business risk, or an interesting mix of both?