AI and Cyber Risk: What’s Changed and What Hasn’t

Recent headlines about advanced artificial intelligence (AI) models, including systems capable of identifying vulnerabilities and generating exploit code, have prompted understandable concern among investors, executives, and boards. These developments are often described in stark terms, with some suggesting a fundamental shift in the cyber risk landscape. It is important to separate signal from noise.

AI is indeed accelerating certain aspects of cyber risk. However, it is not rendering existing security practices obsolete. For organizations with disciplined cybersecurity programs, these advancements represent an evolution of the threat landscape, not a sudden or unmanageable disruption.

At Bessemer, we continue to closely monitor these developments and incorporate them into our broader cybersecurity strategy. The result is a measured, proactive approach grounded in experience rather than reaction.

What Has Changed

The latest generation of AI models introduces meaningful improvements in three areas relevant to cybersecurity. 

First, these systems can identify vulnerabilities more quickly and at greater scale. Tasks that once required significant manual effort can now be automated, allowing potential weaknesses in software or infrastructure to be discovered faster.

Second, AI can assist in developing attack code. While this does not eliminate the need for technical expertise, it lowers the barrier to entry and accelerates the process for those with malicious intent.

Third, these tools can help connect multiple weaknesses into coordinated attack paths, increasing the potential severity of an incident.

Taken together, these capabilities primarily affect the speed and scale of attacks. They do not fundamentally change the nature of cyber risk, but they do compress timelines and increase pressure on organizations that lack strong controls.

What Has Not Changed

Despite the attention surrounding AI-driven threats, the underlying causes of most cybersecurity incidents remain remarkably consistent.

In most cases, successful attacks do not rely on novel or highly sophisticated techniques. Instead, they take advantage of familiar gaps, such as weaknesses in identity and access controls, delays in patching known vulnerabilities, or misconfigurations across systems and cloud environments. In many instances, risk is further amplified through third-party relationships where security practices may not be as mature or consistently applied.

Artificial intelligence does not bypass well-implemented controls, nor does it negate the value of strong cybersecurity fundamentals. Organizations that maintain disciplined identity management, enforce appropriate access controls, and operate with a consistent approach to secure system configuration and monitoring are not suddenly exposed because of these advancements.

What AI changes is not the nature of cyber risk, but the speed at which existing weaknesses can be identified and exploited. For organizations with strong foundations, this distinction is critical. The most effective defense continues to be a well-executed, comprehensive security program built on proven principles.

How Bessemer Is Responding

Our approach is grounded in a simple principle: to anticipate where the threat landscape is evolving while continuing to reinforce the controls that matter most. 

We have been actively monitoring advancements in AI and assessing their implications within the broader context of cyber risk. Rather than treating these developments as isolated events, we incorporate them into an ongoing process of evaluation, testing, and refinement across our cybersecurity program.

This includes strengthening core protections across our environment, continuously evaluating potential exposure, and ensuring our monitoring and response capabilities can keep pace with faster-moving threats. 

Importantly, we regularly test our assumptions through scenario-based exercises and targeted testing, helping validate that our defenses remain effective under evolving conditions.

This work reflects a deliberate and forward-looking approach. We are not reacting to headlines.  Instead, we are continuously adapting our program to ensure resilience against both established and emerging threats. 

What This Means for Clients

For our clients, the key takeaway is that cybersecurity is a continuously evolving discipline. As the threat landscape changes, including with advancements in AI, we actively assess the implications and adapt how we protect, monitor, and respond.

Cybersecurity is not static. It requires ongoing investment, testing, and refinement. Our focus is on maintaining a resilient and adaptable program that can respond effectively as risks evolve.

We also maintain strong governance and oversight, with cybersecurity receiving attention at the highest levels of the organization. This helps ensure that decisions are informed, priorities are aligned, and accountability remains clear.

Organizations that have invested in strong foundations and adapt in a disciplined manner are best positioned to navigate these changes. At Bessemer, our focus remains on doing exactly that, continuing to invest in our strong foundation while maintaining a disciplined and practical approach to protecting client assets and information.