Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Speed is everything in the modern business world. Our attention spans are shorter than ever, consumers demand short and seamless interactions, and the slightest delay in service delivery can see organizations fall far behind their competitors. This is why real-time APIs are so important; they enable systems to communicate and exchange data with minimal delay, allowing for near-instantaneous updates and interactions to create a more dynamic and responsive user experience.

This week, we announced an important development in our journey to deliver the industry’s most powerful, comprehensive identity security platform. CyberArk has acquired Zilla Security, a leader in modern Identity Governance and Administration (IGA) solutions, bringing their cutting-edge, AI-powered technology into the fold of our industry-leading platform.

Google Cloud Armor is a web application firewall (WAF) service from Google Cloud Platform (GCP) that safeguards web applications against DDoS attacks and security threats. It integrates seamlessly with the Google Cloud HTTP Load Balancer, providing protection for Google Cloud applications against internet-based attacks.

AI has become both a powerful ally and a formidable weapon in today’s cybersecurity landscape. While AI enables security teams to detect and neutralize threats with unmatched speed and precision, adversaries are equally quick to exploit its potential with increasingly sophisticated and automated attacks. This duality has created an arms race in which organizations must not only adopt AI but continually innovate to stay ahead.

As organizations race to adopt the latest advancements in artificial intelligence, DeepSeek serves as a cautionary tale about the potential dangers of rushing into the hype cycle without adequate consideration of security and ethical implications. DeepSeek, a Chinese AI startup, has been identified as having several significant security risks and vulnerabilities that could pose threats to both the company and its users.

As AI Agents continue to revolutionize everything about how business is done, ensuring the security of these agents has become paramount. While organizations have rushed to adopt DLP processes and whitelist/blacklist policies to block the use of malicious prompts, it’s worth noting that DLP and firewalls have been around for a very long time and have proven limited in mitigating the risks of users copy/pasting sensitive information onto the internet.

Unlike static environments, cloud workloads are constantly shifting, with containers and virtual machines spinning up and down, and crucial sensitive information flowing dynamically across multiple platforms. Recent incidents, such as the increase in container-based malware infections and cloud misconfigurations resulting in major data breaches, have highlighted the need for runtime security.