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.

As AI and automation become the norm, more and more organizations lean on them to streamline decision-making processes across business functions, including security. ‍ Traditional AI solutions take on repetitive and time-consuming tasks, freeing teams to focus on higher-level strategy and growth.

Many of our customers ran into an issue where they’d receive questionnaires via third-party vendor portals and would need to import them into the Vanta app. Since these portals lacked spreadsheet export, their only option was to manually copy and paste questions into a spreadsheet before uploading it to Vanta.

As AI becomes more user-friendly and performance-focused, organizations are increasingly adopting it into their systems to streamline elaborate workflows. However, the rapid pace of adoption means that teams often implement AI models before fully mapping the security and compliance implications that they bring. ‍ According to Vanta’s State of Trust Report, more than 50% of organizations view AI risks as a growing concern today.

As artificial intelligence becomes deeply integrated into business operations, organizations have started feeling the pressure to keep up. According to Vanta’s 2025 survey, more than 50% of the organizations report being overwhelmed by the speed of AI adoption and growing compliance obligations. ‍ This issue is aggravated by the fact that AI tools evolve faster than governance policies can adapt, potentially leaving complex gaps for security teams to fill.

When the Federal Financial Institutions Examination Council (FFIEC) released its Cybersecurity Assessment Tool (CAT) in 2015, it became the industry standard for evaluating cyber readiness. ‍ A decade later, the threat landscape has evolved—and rather than updating the CAT, the FFIEC retired it on August 31, 2025. With CAT no longer the industry's best practice, many financial institutions are asking: What’s next? ‍

When you’re moving fast, you can’t waste cycles on noise—you’ve got to focus on what actually matters. Compliance is no different. If you’re trying to lock in SOC 2 so you can close bigger deals, you don’t have time to vet claims in the market or to deep dive into a Reddit rabbit hole. ‍ That’s why we pulled together a crew of certified experts—and startup operators who’ve actually been through it—to cut through the myths.

Organizations worldwide are increasingly developing or implementing AI-powered tools to streamline operations and scale efficiently. However, the benefits come with unpredictable risks unique to AI that need to be mitigated with the right safeguards. ‍ One of the biggest AI security challenges is the lack of formalized oversight. According to Vanta’s State of Trust Report, only 36% of organizations have AI-informed security policies in place or are in the process of building them.

As AI adoption grows, so do the related risks. Organizations are actively looking for strategies to secure their AI systems. According to Vanta’s State of Trust Report, 62% of organizations plan to boost investments in AI security in the next 12 months. ‍ However, another recent survey on AI governance reveals that more than half of organizations find it challenging to keep up with AI security developments.

We’re thrilled to announce that Vanta has signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to make it even easier for businesses to scale securely in the cloud. We’re expanding the reach of our compliance automation and trust management platform, enabling organizations to build stronger security programs, accelerate audit readiness, and demonstrate compliance more efficiently—all while scaling on AWS. ‍

The AI boom has introduced intelligent tools into most industries, not just in tech-first organizations. But the rising adoption also opens the door to new risks. ‍ Vanta’s AI governance survey found that 63% of organizations rate data privacy and protection as the top concern with AI, followed by security and adversarial threats at 50%. These numbers emphasize how urgently organizations want to prioritize defenses for AI-specific attack vectors.