The explosion of interest in artificial intelligence (AI) and specifically large language models (LLMs) has recently taken the world by storm. The duality of the power and risks that this technology holds is especially pertinent to cybersecurity. On one hand the capabilities of LLMs for summarization, synthesis, and creation (or co-creation) of language and content is mind-blowing.
Over the past year, we’ve been building something new for Calico Cloud that’s aimed at helping anyone who is charged with improving the security of their Kubernetes clusters. I’m excited to announce that Calico Cloud is releasing new capabilities for security posture management called Security Scoring and Recommended Actions.
It’s that time of the year again, 2024 planning. Security and third-party risk management leaders are scrambling to prioritize their initiatives for the coming year, advocate for more resources, and report on their progress over the past year. When only 16% of organizations report that they effectively manage third-party risk, the new year provides a blank slate to introduce new efficiencies to existing processes.
Just like other insurance markets, subjectivities have become a staple of cyber insurance. When a cyber insurance underwriter issues a quote to the broker and insured, there may be additional requirements that must be met before the policy and coverage are activated. The management and resolution of these subjectivities creates friction for all stakeholders involved. It takes longer for insureds to obtain coverage, for underwriters to collect premiums, and for brokers to earn their commission.