As AI use grows, so does its dependency on the energy grid remaining up and running. This makes the energy grid a more likely target for future attacks.
Security teams in financial services and insurance (FSI) companies have their work cut out for them. These organizations safeguard some of the most important data in the world—making them prime targets for attackers and among the most heavily regulated industries to operate in. Breach costs in finance remain among the highest of any sector, averaging $6.08M per incident in 2024. At the same time, many teams juggle dozens of disconnected systems and legacy platforms.
With regulatory complexity rising across all industries, managing multiple frameworks and amended regulations simultaneously has become the new security standard. Regular audits and continuous improvement have also become essential, both to ensure ongoing compliance and to strengthen customer trust. However, manual compliance audits are time- and resource-intensive. Their complexity grows with each new framework, significantly raising the risk of human error and compliance fatigue.
The widespread availability of large language models (LLMs) has driven the rapid development of generative and agentic AI applications for business use cases. These systems can reason, plan, and act autonomously, creating security risks that traditional security tools weren’t built to handle. Their popularity has widened the attack surface, both for organizations using external LLMs and those building their own GenAI applications.
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From customer-facing applications to internal systems, your businesses run on code. As CISOs, you may know that this reliance comes with a growing, complex challenge: securing the Software Development Lifecycle (SDLC) from end to end, especially against the insidious threat of software supply chain attacks.
Law firms really are under constant pressure to meet tight deadlines, maintain client confidentiality and protect privileged communications. And like most aspects of life with technology so deeply intertwined, the same tools that make work possible can also be significant sources of risk. Consider something as basic as email; likely the most commonly used tool in the profession.
Security and engineering teams today face a tough balance: protecting sensitive resources while keeping developers productive. As organizations shift from on-prem to the cloud, access management becomes one of the biggest challenges. With more identities—human and non-human—gaining access to more resources across hybrid environments, the risks rise.
Today’s man-in-the-middle (MitM) attacks go far beyond coffee-shop Wi-Fi: they target browsers, APIs, device enrollments, and DNS infrastructure. Using automated proxykits and supply-chain flaws, attackers hijack session cookies, tokens, and device credentials—turning one interception into persistent, high-value access. Concerningly, these are not edge cases.