After 20+ years in Silicon Valley, where I led global teams at Lucent, Altera, and LSI and ran a $400 million sales and marketing organisation, I went on to grow a Silicon Valley startup to over $100 million in global revenue.I founded Primotech, a London-based advisory and growth partner, to bridge a clear gap in how cutting-edge technology companies enter and expand in the UK and European markets.Primotech helps high-potential cybersecurity, fintech, AI, and quantum firms win major enterprise projects, secure flagship logos, and build long-term relationships across financial services, telco, and data-centre sectors.We’ve achieved major wins with leading organisations including JP Morgan Chase, Barclays, Bloomberg, NYSE/ICE, LSEG, Vodafone, BT, Morgan Stanley, and BAE Systems, helping over 20 emerging vendors establish reference customers, channel partnerships, and seven-figure pipelines.Since 2023, I also run Cyber &amp; Beats, an invite-only roundtable series in London for CISOs and CTOs. The format provides early access to game-changing technologies, credible peer insights, and meaningful conversations under Chatham House rules. Senior leaders explore topics such as AI in security, regulatory change, human risk, and real-world enterprise strategy.For CISOs and CTOs:I offer early access to emerging technologies before mainstream adoption. Whether you want to benchmark, explore new ideas, or stay ahead of the curve, I connect you with credible insights and trusted peers — without sales pressure.For Founders and Growth Teams:I help you break into complex enterprise environments, secure strategic pilots, navigate long sales cycles, and close high-value deals with the right senior sponsors.With deep networks across the UK, Europe, the US, and China, I bring together the right leaders, ideas, and opportunities — enabling innovation to scale faster and more effectively.

Steve Dodsworth

It’s important to rethink how we protect our digital society after experiencing an unprecedentedly chaotic 2025 with numerous large-scale AI driven cyber attacks.

It became apparent that cybersecurity must be viewed not only from an IT standpoint, but also as a public safety issue given the impact these attacks had on critical sectors such as healthcare and food distribution.

Moving forward, organisations will need to focus on building and maintaining their resilience, as opposed to merely achieving compliance.

See more here: https://heyor.ca/nq8b1K

#DigitalSociety #CyberSecurity #AIThreats #PublicSafety

Advisor and Business Partner — Driving Innovation & Growth | Silicon Valley Veteran | Helping CEOs, CISOs & CTOs in Fintech, Cyber, AI | Co-founder Cyber&Beats Roundtable | * Award-Winning Film Producer

Open article: Cybersecurity lessons from 2025 we cannot ignore in 2026 – Intelligent CISO by intelligentciso.com

Cybersecurity lessons from 2025 we cannot ignore in 2026 – Intelligent CISO

*40 LinkedIn Top Voices in Tech for 2025*|Consulting Engineer working with CISOs, CIOs and their teams to scope and solution workloads in Cloud, Cloud Security, Cybersecurity and AIsecurity|Tech Analyst| USAF Vet|

📌 Q: What is a non human identity (NHI)

A: a Non-Human Identity (NHI) refers to a digital credential assigned to a machine, application, or automated process rather than a human user. NHIs act as an "invisible workforce," outnumbering human identities in enterprise environments by ratios typically between 17:1 and 50:1. 

Core Characteristics

🔑Automation-Focused: They are designed to operate 24/7 without manual intervention, such as a script querying a database at 3 AM.

🔑 Programmatic Authentication: Unlike humans who use passwords or biometrics, NHIs authenticate using API keys, tokens, certificates, or cryptographic keys.

🔑 High Privilege & Scale: They often possess elevated permissions to execute backend tasks and proliferate rapidly through automated deployment pipelines. 

Common Types of NHIs

🧩 Service Accounts: Accounts used by applications or background services to perform routine tasks like data backups.

🧩 API Keys & Tokens: Short or long-lived strings that allow programmatic access between different software services.

🧩 Machine Identities: Credentials used to authenticate physical devices, virtual machines (VMs), containers, or IoT sensors.

🧩 Cloud & Workload Identities: Automatically generated roles or principals (e.g., AWS IAM Roles or Azure Managed Identities) that authorize cloud-based resources.

🧩 AI Agents: An emerging class of NHIs where autonomous AI systems use ephemeral, context-based credentials to interact with other systems. 

v/ JumpCloud 

Cc: Stan Lowe | Brad Moldenhauer | Derek Bush 

#AIDefense

As cybersecurity enters the year 2026, cybersecurity professionals will be facing a new set of challenges characterised by AI-generated threats and highly sophisticated attacks requiring advanced defenses.

AI security observation tools will allow organisations to effectively monitor end-user devices and identify anomalies in real time to help reduce opportunities for a breach to occur.

While the use of AI for increased threat detection and improved efficiency is beneficial to cybersecurity, organisations need to recognise the continuing importance of skilled cyber professionals.

Read more in this article: https://heyor.ca/AfdS0p

#CyberSecurity2026 #AIThreats #AdvancedDefenses #AISecurityTools

Open article: AI-Powered Security Observability Becomes the Backbone of Cyber Defence by techerati.com

AI-Powered Security Observability Becomes the Backbone of Cyber Defence

As stated in the recent Marsh Cybersecurity Report, two-thirds of global organisations will be increasing their cybersecurity budgets by 2026 and more than one-quarter plan to increase their spending by more than 25%.

The main areas where organisations are focusing their increased spend are security technology, incident response, and an increase in the workforce; all represent a proactive strategy for improving the security of customer data and improving an organisation's ability to respond to incidents that may occur.

With the increased number of third-party risks, as well as the recent attacks on several high-profile companies in the UK, companies should be strengthening their vendor security programs and making investments in cyber resilience at the board level.

Find out more in this article: https://heyor.ca/J9ksBc

#Cybersecurity2026 #CyberBudgetIncrease #SecurityTechnology #IncidentResponse

Open article: Majority of global firms plan to boost cyber spending in 2026 by cybersecuritydive.com

Majority of global firms plan to boost cyber spending in 2026

2026 will continue to change the cybersecurity landscape as the use of AI-driven attacks and defences will completely transform how organisations think about threats and how they respond to them.

These changes include an increased use of AI-based malware and an increase in 'predictive' security operations centres (SOCs), which focus on proactively anticipating threats rather than just responding to alerts.

The emergence of deepfakes will require a major change in the way that we can verify trustworthiness, while operational systems such as ERP and OT will be increasingly targeted by cybercriminals.

See more here: https://heyor.ca/3dT8Va

#CyberSecurity2026 #AIDrivenAttacks #PredictiveSOCs #DeepfakeChallenges

Open article: 5 Cybersecurity Predictions for 2026: An Industry Insider’s Analysis by heyor.ca

5 Cybersecurity Predictions for 2026: An Industry Insider’s Analysis

According to Deloitte's "Tech Trends 2026" report, the enterprise landscape is rapidly changing as more organisations use AI. As a result, companies are using technology to improve their operations and competitiveness, in addition to creating greater value from the products and services they provide.

Examples of current trends include the development of physical AI and robotics along with agent-based workforce strategies, as well as the need for organisations to develop optimised AI infrastructure to achieve greater efficiencies and innovation.

While AI creates opportunities for businesses to improve operations, it may also create security risks for them; thus, businesses should think strategically about how to leverage AI's advantages, while also protecting against potential security issues.

Find out more in this article: https://heyor.ca/X5DLiD

#TechTrends2026 #AIInBusiness #EnterpriseInnovation #AIInfrastructure

Open article: Tech Trends 2026: AI Comes of Age - WSJ by deloitte.wsj.com

With AI's rapid advancements driving cyber attacks to be more automated and adaptive than ever, organisations must prioritise cyber resilience as they evolve their cybersecurity strategy.

To overcome the increasing use of automation in cyber attacks and defend against continuously evolving cyber threats, organisations should strengthen their foundational security, including adopting Zero Trust principles and practising proactive governance.

In addition, as organisations develop offensive and defensive strategies for cyber defence, they will need to create cyber risk frameworks that include considerations of cyber resilience.

Learn more here: https://heyor.ca/edb8V9

#CyberResilience #CyberSecurityStrategy #ZeroTrustPrinciples #ProactiveGovernance

Open article: Cyber resilience in an era of AI-enabled offense by heyor.ca

Cyber resilience in an era of AI-enabled offense

In the United Kingdom, the Cyber Security and Resilience Bill is designed to provide protection against cyber threats by enhancing regulations and offering greater powers to regulators.

The Bill will cover three areas that will help to develop an effective environment for cybersecurity within the UK.

As a result, the legislation will provide additional layers of protection to critical sectors such as healthcare and energy, by requiring that these industries comply with minimum cybersecurity requirements and that incidents be reported quickly so that their supply chains are secure.

For more information, click here: https://heyor.ca/4ZrvZU

#CyberSecurity #UnitedKingdom #ResilienceBill #CyberThreats

Open article: What are the key areas of focus of government's Cyber Security and Resilience Bill? by techuk.org

What are the key areas of focus of government's Cyber Security and Resilience Bill?

This mirrors what CISOs say to me. AppSec noise keeps rising.  Teams drown in findings while real, exploitable risk waits quietly. Kodem cuts through noise by anchoring decisions in runtime evidence. That focus changes outcomes.
#AppSec #CISO #CyberSecurity #RuntimeSecurity

Chief Information Security Officer "CISO" (Fintech / Private Equity / Tech) | BCS Author

It was great spending time with Aviv Mussinger, the founder of Kodem Security, at our recent Cyber & Beats night.  Kodem is doing genuinely cutting-edge work in the application security space—focused on helping security teams reduce real risk without slowing developers down.
If AppSec is on your roadmap, it’s well worth reaching out to them for a conversation. Steve Dodsworth

Cybersecurity in 2026 will increasingly involve the interplay of global tensions and cyber terrorism from state actors such as Russia, China, and Iran, and their respective use of cyber warfare tactics to compromise areas of increasing importance, such as semiconductors.

At the same time, the growth of AI will provide new opportunities for malicious users to launch attacks in an advanced manner via techniques including, but not limited to, AI voice cloning, prompt injection, and automated botnets, which can be used for malicious activities.

AI will also provide organisations with tools to improve their ability to identify, analyse and respond to threats, in addition to creating a need for organisations to change quickly to help mitigate risk and protect critical infrastructure. This is as cyber warfare extends into the realm of outer space as a result of GPS systems now being used as an attack vector for disrupting GPS signals.

Read more in this article: https://heyor.ca/vX77Qt

#Cybersecurity2026 #CyberTerrorism #StateActors #CyberWarfare

Open article: 2026 cyber forecast: AI attacks and rising political tensions by heyor.ca

2026 cyber forecast: AI attacks and rising political tensions

According to a recent report from Genetec, as cyber and physical security converge in 2026, collaboration between security teams will become a focus area.

The trend is towards integrated technology versus using separated physical security systems.

Organisations will use data more efficiently and have greater operational efficiency with integrated technology and contribute to continued business.

For more information, click here: https://heyor.ca/A1iGcC

#CyberSecurity2026 #PhysicalSecurity #SecurityConvergence #IntegratedTechnology

Open article: With physical and IT security merging, collaboration will be a 2026 priority: Genetec by heyor.ca

With physical and IT security merging, collaboration will be a 2026 priority: Genetec

I’m at TechEx Global 2026 on 5 February at Olympia London. If you’re around, join me for a coffee and a quick catch-up.

David Pidsley is a British decision intelligence (DI) leader bridging business and technology insights in analytics and AI. 

“Data-driven was a dogma. Drop the D-word. D is for Decisions. Be decision-centric. Adopt Decision Intelligence, CDO.”

He joined Gartner in 2020 and has 20 years experience advising on business technology transformations. Before that, he was Chief Technology Officer (CTO) for Analytics at system integrator DXC Technology, having previously held three Head of Data, Analytics and BI roles and was founder of content intelligence company Cause Analytics, and earlier headed marketing strategy for UNIT4.

Business technology is a path to a more agile, innovative and productive future. The teams I’ve been asked to advise have pioneered profitable projects by bridging the gap between Business: clients, teams, shareholders, and Technology: products, computing and cognition. In over twenty years advising businesses from startup to market impact, I’ve learnt we succeed by being the bridge.

David Pidsley

Analytics told us what happened but #DecisionIntelligence governs what happens next - and Gartner’s first Magic Quadrant for Decision Intelligence Platforms makes it unmistakable that decisive advantage now comes from AI for decisions, not just generating insight from data.

The first Magic Quadrant for Decision Intelligence Platforms has published today. This marks a significant milestone for our field in moving from emer

Open article: Decision Intelligence Platforms by David Pidsley • 9 min read

“Actionable insight”—is the em dash of BI.

It is how business intelligence (BI) practitioners and vendors admit the decision model is still missing.

It is often a signpost pointing to nothing.

It tells you the organization is still oriented on seeing data, not deciding.

BI was built for a slower, waterfall world, where daily dashboards report what happened.

By the time they are asked for and built they are not needed; by the time they load, the business has already moved.

That is why time-to-insight of a dashboard no longer matches time-to-decision.

Dashboards are owned by report builders. 

Decisions are taken by decision leaders.

That gap is where economic value is lost.

Dashboards are where the decision advantage goes to die.

Insight alone does not create action.

Action is the execution of a contextual choice.

Only a decision model connects data to that choice.

The “data-driven” era measured success in charts. In some organization it is a now graveyard, cataloging the expenses of “data hygienists” obsessing over outputs that can now be prompted, instantly. #AgenticAnalytics arrived.

The decision-centric era measures success in decision outcomes and decision quality.

That’s not just data-to-insight; it’s also data-to-impact and back again to close the loop with learning.

Decision intelligence (DI) bridges the insight-to-action gap. It is also technology agnostic.

It replaces dashboards as the center of gravity with explicitly designed decision models that bind data, options, risk and execution. Monitoring and governance of decisions executes has been core to that practice for decades.

Business leaders already make and use decisions spaces, to actively design the right decision models, not just decision traces that can help infer human habits after the fact. DI is already vibrant and keenly adopted for operational decisions in larger enterprises in regulated-workflows where correct and safe decision making cannot be discarded to an LLM.

When decision modeling happens, insights no longer pretend to be actionable.

Analytics becomes decisional, not delusional. 

That’s why I’ve come to think that:

“We deliver you ‘actionable insights’”—is the em dash of BI.

#DecisionIntelligence #DecisionTrace #ActionableInsight #BI

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