試す 金 - 無料
Strengthening Cybersecurity The Right Way
PCQuest
|December 2022
Cybercrime doesn't mean just data loss or server failure. Security breaches considerably influence the firm's reputation, profitability, and prospects. Data leakage caused by malware attacks results in millions of dollars in losses, and hence potential bankruptcy.
Technology has advanced dramatically in recent years, but the number of businesses falling victim to cyberattacks has not decreased. Unsurprisingly, cyberattacks escalated by 42% in the first half of 2022 compared to 2021. The ongoing year is regarded as one of the worst years in cybersecurity history. Although the advanced malicious attacks can be attributed to the negative impact of technological advancement, when experts delved more profoundly, they discovered that the negligence on the defence side was the cause of many data breaches.
Considering that even prestigious companies like MailChimp, Microsoft, and Uber, renowned for emphasising security, were not impervious to malicious attempts, the above studies prove that complacency is actually to blame for the rise in harmful attacks. Using proper and prominent cybersecurity software can be a solution to revert any possible attacks, but with sound strategy, it can be effective.
Why is cyber security strategy important?
The consequences of cybercrime are more than just data loss or server failure. Security breaches considerably influence the firm's reputation, profitability, and prospects. Data leakage caused by malware attacks results in millions of dollars in losses, potentially driving a corporation into bankruptcy in extreme situations. Evidently, within six months of experiencing a data breach, 60% of small firms declare bankruptcy.
However, a comprehensive cybersecurity policy may save a company from any unfortunate scenario, even if it is subjected to unforeseen minor attacks. Developing a pragmatic cybersecurity system will:
このストーリーは、PCQuest の December 2022 版からのものです。
Magzter GOLD を購読すると、厳選された何千ものプレミアム記事や、10,000 以上の雑誌や新聞にアクセスできます。
すでに購読者ですか? サインイン
PCQuest からのその他のストーリー
PCQuest
When Software Drives the Machine Need for Enterprise-Grade Software
Cars used to fail because of broken parts.Now they fail because of broken code. As vehicles become rolling computers, enterprise-grade software, ruthless testing, and fail-safe architecture decide one thing: whether a car keeps moving safely at 100 km/h
2 mins
March 2026
PCQuest
AI on the ground Practical use cases of AI in large enterprise operations
AI isn't a side project anymore, it's the quiet operator inside global giants. It reads invoices, senses machine fatigue, tailors every customer moment, flags risk in real time, and feeds leaders sharper instincts. Scale just got smarter
3 mins
March 2026
PCQuest
From AI experiments in 2025 to enterprise scale in 2026: Why data foundations will decide the winners
Everyone's betting big on Al, but most are burning cash instead of building value. The hidden culprit? Dirty data, clunky processes, and missing context. What if fixing your foundation, not your algorithms, was the real AI game-changer?
4 mins
March 2026
PCQuest
How automation at the periphery is accelerating digital transformation
Digital transformation is not tearing down the core anymore. It is happening at the edges. With AI and automation layered onto existing systems, companies are cutting costs, boosting productivity by up to 40%, and scaling smarter without risking operational chaos
2 mins
March 2026
PCQuest
When AI moves from chips to racks
AI performance is no longer just about faster chips. It is about how racks, power, networking, and orchestration work together. As agentic AI grows, infrastructure must become predictable, open, and built for scale from day one
4 mins
March 2026
PCQuest
Designing enterprise AI systems that stay fair
In 2026, bias is no longer treated as a communications issue or a public relations headache.
6 mins
March 2026
PCQuest
HALO smart sensor
What if bathrooms, locker rooms, and isolated spaces could become safer without adding cameras?
2 mins
March 2026
PCQuest
Building enterprise AI that doesn't discriminate
Bias in enterprise AI is not a side issue. It starts in data pipelines, training systems, product design, and engineering workflows. As AI scales, fairness, transparency, and accessibility are becoming core software requirements
4 mins
March 2026
PCQuest
Bias travels faster than code
Bias in enterprise AI is not a surface issue. It enters through data, features, model training, APIs, and UI logic, then spreads across the stack. The technical response is shifting from audits to architecture, observability, and deployment controls
6 mins
March 2026
PCQuest
How hospitals can use AI without risking patient data
With the fast pace of adoption of Artificial Intelligence (AI) and digital health systems in Indian hospitals, issues related to the security of patient data are also increasing at an equal rate.
2 mins
March 2026
Translate
Change font size

