HSE report finds offshore industry “stepped up” to safety leadership challenge

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HSE report finds offshore industry “stepped up” to safety leadership challenge

The offshore industry has stepped up. Companies are now talking to one another on a level that we have never seen before. When we conducted our first inspection as part of our Process Safety Leadership Principles (PSLP) programme in January 2022, we wanted to challenge industry. We wanted to see how PSLP was being embedded. […]

The offshore industry has stepped up.

Companies are now talking to one another on a level that we have never seen before.

When we conducted our first inspection as part of our Process Safety Leadership Principles (PSLP) programme in January 2022, we wanted to challenge industry.

We wanted to see how PSLP was being embedded.

We had noted a stagnating safety performance and called on industry to do more to improve this record.

While we do have enforcement powers, for HSE, this programme was more about influencing for change. We want to be an enabling regulator that drives industry safety standards forward.

And by the time we completed our 13th and final inspection in May 2024, we had reached a point where we did not need to continue the programme.

But we were not just inspecting. We were engaging with senior leaders, having meetings with high level stakeholders based in the UK and overseas, and we were engaging with industry groups.

And as we look back on the findings of the programme, one of the big successes is that companies are engaging with one another and applying lessons that they are learning from other firms.

We found that firms were looking at themselves, identifying areas of improvement, engaging with other companies and above all – finding solutions.

This has led to key developments in process safety leadership, Major Accident Hazard (MAH) management and performance, workforce engagement and utilisation of the Elected Safety Representatives.

This is a massive win.

We cannot stop here however.

The programme may have finished but that is not an excuse for complacency.

We will continue to challenge industry, asking companies how they are implementing PSLP and whether they are still collaborating with other firms on the same level we witnessed during this programme.

While we will endeavour to challenge industry on these issues, we will now bring extra focus on risk management and risk tolerance.

The PSLP programme underlined to us that industry is prepared to tolerate a greater degradation of MAH barriers, rather than fixing them.

While knowledge and appreciation of the overall risk profile is improving, further work is required by companies in order to fully understand where they may be exposed.

There needs to be improvements in tackling cumulative risk, audit and assurance, and we note too that a decrease in headcount has led to a reduction in skills, knowledge and competency.

It is not just down to HSE to develop standards in these areas however, companies will need to drive their own self-improvement.

The PSLP programme shows that this can be done through collaboration, engagement and application – industry now needs to continue along this path.

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2025 playbook for enterprise AI success, from agents to evals

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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