Prominent Cybersecurity Technologies To Safeguard Your Business

In 2024, businesses just need to have their presence online and join hands with technology for their operations. In fact, organizations of all sizes rely profoundly on computerized systems and online platforms for their daily operations. 

Cybercriminals are employing sophisticated techniques at an alarming rate to compromise networks and steal sensitive data. Reports published by Comptia Community suggest that cyber-attacks rose significantly in the last few days, affecting more than 2200 organizations and individuals every day. 

Cybersecurity Technologies To Safeguard Your Business

Below we talk about all the essential cybersecurity technologies that you must consider implying to protect your business for all online attacks. Take a look.

Artificial Intelligence and Machine Learning

Artificial intelligence (AI) and machine learning (ML) have become indispensable for modern cybersecurity solutions. At their core, AI and ML make computers smarter at detecting patterns in huge volumes of data. When applied to cybersecurity, they can significantly boost threat detection and prevention capabilities. Key factors like easy implementation and automation have prompted to incorporate AI into Business operations and therefore even small to mid-sized businesses are investing in AI-powered cybersecurity tools like next-gen antivirus, endpoint detection, etc.

How AI/ML Help:

• Anomaly detection: AI algorithms can analyze user/entity behaviours and flag any anomalies that may indicate malicious activity. This helps catch even unknown threats.
• Advanced analytics: Powerful AI obtains unprecedented insights into the constantly evolving cyber landscape. It reveals strategic blindspots, predicts future risks and optimizes security strategies.

Internet of Things (IoT) Security

The growing interconnection between devices through IoT provides operational benefits but also expands the attack surface. As per reports published by GSMA, over 25 billion devices will be connected to the internet by 2025, each needing protection from exploits. Businesses can consult with a reputed IoT Development Company and implement a defined-in-depth strategy balancing safety, accessibility and reliability needs.

Fundamentals of IoT Security:

• Device discovery and inventory: Identify all IoT and OT devices on the network, their configurations, vulnerabilities for prioritized protection.
• Authentication and authorization: Enforce strong authentication on devices and authorize access control based on user roles for critical functions.

Cloud Security

Cloud adoption has benefited entrepreneurs and enterprises of all sizes with agility, scalability and economic factors. However, it has also increased the attack surface if not implemented securely. 

Important Aspects of Cloud Security:

• Identity and access management: Leverage strong authentication, authorization and access control services inherent to cloud platforms.
• Data security: Implement automatic encryption of data at rest and in transit. Use  fine-grained access policies to monitor and control data sharing.

Blockchain for Security

Blockchain has emerged as a highly secure and trusted technology suitable for many use-cases beyond cryptocurrencies. Its key attributes of decentralization, transparency and immutability make it an ideal option for building trust networks without reliance on central authorities.

Some use-cases for blockchain in security:

• Secured credentials: Technologies like self-sovereign identity allow individuals and IoT devices to prove attributes without relying on central databases prone to hacks.
• IP protection: Intellectual property rights like copyrights, design patents can be publicly registered on blockchain with cryptographic proof of original creation to curb duplication or theft.

Data Loss Prevention

Malicious insiders, careless users, targeted attacks or technical errors can all potentially lead to unauthorized data breaches if not checked. This is where Data Loss Prevention (DLP) technologies become important to define controls and monitor data flows.

Key facets of an effective DLP strategy:

• Data discovery and classification: Scan all file servers, databases and endpoints to generate an inventory of sensitive data types like PII, financials, health records etc.
• User awareness: Train end users about information security fundamentals and their responsibilities through awareness programs complementing technology controls.

Last Words

As technology accelerates digital transformations, cyber risks diversify in scope and impact. Adopting a proactive, adaptive and intelligence-led security posture underpinned by prominent technologies equips organizations to assure continuous service delivery, safeguard crown jewels and build trust with stakeholders. Good luck! 

Special thanks to the author of this article Harikrishna Kundariya