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Cyber incidents can halt research and damage trust across complex life science ecosystems.
Published on 27 February, 2026
Cybersecurity is rightly a top priority for life science companies, but cyber threats are just one aspect of a broader operational risk landscape.
For brokers, the opportunity is to help clients see cyber as part of their wider operational resilience that also includes supply chain resilience, data integrity, facility disruptions, and reputational harm.
And AI is raising the stakes. Large language models can generate highly convincing phishing emails that mimic a colleague’s tone and style, using details pulled from public sources.
Generative AI can significantly boost productivity for legitimate organisations, but it can also make cyberattacks easier to create and scale. Tactics that once required time and technical expertise can now be automated quickly, and the tools to launch them are increasingly accessible on the dark web.
Why life science is a high-stakes target
Life science businesses are attractive to attackers because they sit on high-value assets and highly sensitive information, including intellectual property and patient trial data.
At the same time, the use of interconnected labs and systems, alongside complex third-party ecosystems, increases both the likelihood of an attack and the potential impact.
An incident can affect data, research continuity, trial timelines, reporting integrity, and partner obligations, all of which can quickly become commercial problems.
Phishing and social engineering: still the most common doorway
Phishing is designed to get an employee to click a link, share credentials, or approve a request that gives attackers access to systems and data, which can be held to ransom. The challenge is that phishing emails and messages can now look startlingly real, with natural language and tailored context that makes it harder for staff to spot.
Human factors remain central. It’s estimated that 95%* of cyberattacks succeed because of human error, including opening phishing emails. Brokers don’t need to be cyber consultants to make this point land.
Put cyber in the wider context of operational resilience
Life science clients often think that the key risk of a cyberattack is a data breach, but the operational impact can be far wider.
A serious incident can trigger:
- Loss of access to research, trial documentation, or lab systems
- Data integrity issues that require validation, rework, or disclosure
- Interruptions to manufacturing, logistics, or temperature-sensitive storage
- Third-party knock-on disruption where platforms or suppliers are compromised
- Reputational harm with partners, customers, investors, and regulators
This is why the strongest client advice often links cyber to business continuity and crisis readiness, not just prevention. And brokers should encourage clients to focus on practical resilience measures, including disaster recovery planning, crisis response playbooks, supplier continuity strategies, and data integrity controls.
Many security professionals now advocate a ‘zero-trust’ approach, where businesses assume an attack is inevitable and focus on early detection, containment, and rapid recovery. This includes practical measures such as offline backups, access controls, and regular incident response testing.
Broker-led actions: practical controls clients can implement now
A strong broker conversation doesn’t just focus on recommending cyber insurance; it also helps clients improve the fundamentals, including:
- Define acceptable-use policies for all technologies
- Review policies regularly, because tools and capabilities change fast
- Upskill employees with frequent, bite-sized training and phishing simulations
- Introduce strict verifications for high-risk requests, such as bank details changes
- Segment systems so an attacker can’t move freely if security is compromised
- Keep an up-to-date cyber action plan and store critical response information offline
Where specialist insurance fits
If the worst happens, specialist insurance can be vital for technical and financial resilience. Cyber and data risk cover can support incident response, investigation, notification, and recovery costs.
For life science SMEs, it also supports credibility with stakeholders, who increasingly expect to see clear controls, rehearsed response plans, and evidence of good governance.
Brokers add value by ensuring cover aligns with risk, including what data the client holds, how dependent they are on third parties, what downtime would cost, and how incidents would affect contracts and reputation. Done well, insurance sits behind strong controls, protecting the balance sheet and helping the business recover faster.
The takeaway
The big message for brokers is resilience.
Life science businesses need joined-up protection that covers data integrity, operational continuity, and trust. Brokers who frame cyber within that broader operational risk conversation will be best placed to support life science SMEs as they innovate and scale.
Resilience beyond cyber alone
Cyber risk in life science cannot be viewed in isolation. A dedicated life science proposition considers the interconnection between data, research continuity, supply chains, and reputation, helping brokers position insurance as part of a broader resilience strategy.
