Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

With the rapid adoption of AI and automation technologies, the automotive industry is experiencing a massive transformation. From autonomous driving tech to vehicles connected with cloud-based services, these innovations are reshaping how automakers and suppliers operate globally. However, these shifts have introduced new vulnerabilities, especially cyber risks, that need to be addressed.

Security leaders often face challenges that extend beyond the firewall: a major gap in communication between the security function and executive leadership. This misalignment can have severe consequences, including stalling deals, increasing organizational risk, and preventing security from being recognized as a key driver of business growth.

There’s a growing sense of risk awareness in the SaaS space as companies face increasing scrutiny over information security. According to Vanta’s State of Trust report, nearly two-thirds of organizations report that their stakeholders expect proof of a robust security posture and alignment with popular cybersecurity standards. ‍ ISO 27001 is one of the most widely recognized frameworks for demonstrating a strong security posture.

Introducing third-party AI into your systems can be a milestone for productivity and growth, but it also expands your attack surface in unpredictable ways. If your AI vendors have weak controls, threats like data poisoning and algorithm failure can ripple through your systems.

This past month, the Vanta team launched new features to help you: ‍

As organizations integrate AI into their everyday systems and operations, the scrutiny on the risks it introduces is higher than ever. According to Vanta’s State of Trust Report 2024, more than half of organizations express concerns over security risks compounded by AI. ‍ The growing unease highlights a new business expectation: you must be able to prove your organization is using AI securely and responsibly.

The Criminal Justice Information Services Division (CJIS) within the FBI manages Criminal Justice Information (CJI). Considering the highly sensitive nature of law enforcement data, you have to implement federal security standards to safeguard CJI against increasingly complex cybersecurity threats. ‍ The CJIS Security Policy was introduced in 1992 as a framework to protect CJI through both strategic and tactical measures.

Organizations across industries are actively investing in AI to streamline operations, boost productivity, and stay ahead in competitive markets. However, most proceed with caution when rolling out new AI solutions internally as they need to meet standards for AI security, compliance, and responsible use through rigorous testing and assessments. ‍ At the same time, teams may occasionally adopt AI solutions outside formal channels to simplify their workload.