Artificial Intelligence (AI) has revolutionised industries, enhancing productivity, decision-making, and automation. However, with its rise, new types of cyber threats have emerged, making AI security a crucial concern. From AI-driven malware to adversarial attacks on machine learning systems, organisations are facing a range of challenges in securing their AI infrastructure.
In today’s world, most online communications are encrypted using SSL/TLS protocols. While encryption is vital for protecting data from prying eyes, it has also created a blind spot in cybersecurity. Cybercriminals now leverage encrypted traffic to hide malicious activity, making it harder for traditional security tools to detect threats. This is where SSL traffic inspection becomes crucial for organisations looking to secure their networks.
Attack Surface Management (ASM) is crucial for organisations as it offers comprehensive visibility into external-facing digital assets and helps identify potential vulnerabilities. By continuously monitoring for emerging threats, ASM enables proactive risk management and reduces the risk of cyberattacks. It helps uncover unknown or shadow assets, such as outdated servers or misconfigured systems, minimising blind spots that could expose the organisation to risks.
In today’s interconnected digital world, where data security has become a critical concern for individuals and organisations alike, lessons from ancient philosophies such as Jainism offer profound insights. Jainism, a religion and philosophy originating from India over two millennia ago, emphasises non-violence, truth, and self-discipline. At its core, Jainism teaches the importance of controlling one’s emotions and ego to achieve a state of spiritual purity and inner peace. Surprisingly, these teachings resonate deeply with the principles of data security in the modern era.