Tag: GenAI

AI is here to stay! One person’s perspective on attending Datatribe – Cyber Innovation Day 2025

November 14, 2025 / blog_Bizeman / 0 Comments

AI Security Takes Center Stage: Key Insights from DataTribe’s Cyber Innovation Day 2025 by Shawn Anderson, CTO and 2x CISO, Boston Meridian Partners

November 4th’s industry gathering revealed how artificial intelligence is fundamentally reshaping cybersecurity – from autonomous red teams to agentic AI governance

I was already a fan of DataTribe, but their daylong event at The Capital Turnaround—a historic Navy Yard car barn turned vibrant event venue—solidified my admiration. With engaging speakers, impressive startups, dynamic attendees, and great food, the event was a standout. Located in a revitalized area near the Washington Navy Yard, this venue is a must-see for your next event.

DataTribe’s Cyber Innovation Day 2025 brought together cybersecurity’s brightest minds to tackle the most pressing question facing our industry: How do we secure systems that are increasingly powered by artificial intelligence? From startup pitches to expert panels, the day revealed both unprecedented opportunities and sobering challenges ahead.

The AI Revolution in Security: Faster, Smarter, More Dangerous

The opening presentations from DataTribe’s portfolio finalists painted a picture of AI’s transformative impact. Anit Saeb, founder of Cytadel and former head of penetration testing at the Bank of England, demonstrated how AI-driven autonomous red teaming can achieve “full compromise in under 8 minutes—550x faster than ransomware groups.” According to Cytadel’s internal testing, his company’s AI agents have already bypassed the top three EDR vendors, proving that traditional defenses are struggling to keep pace.

Meanwhile, Tim Schultz from Starseer (formerly Verizon’s AI Red Team lead) highlighted a critical gap: “Current AI security tools only monitor user-LLM interactions, while agents act across databases and applications and communicate with other agents.” As organizations deploy AI agents that can independently access systems and make decisions, we’re entering uncharted territory for security governance.

The scale of this challenge became clear through Evercoast’s presentation on physical AI training. Their platform addresses a fundamental problem: “Physical AI has only thousands of hours of training data vs trillions for LLMs.” As AI systems move from chatbots to controlling physical infrastructure—from F-16 repairs to autonomous vehicles—the security implications multiply exponentially.

Industry Veterans Sound the Alarm

Jason Clinton, Deputy CISO at Anthropic, provided a sobering insider perspective on AI’s current trajectory. “AI compute [is] increasing 4x year-over-year since 1957,” he noted, with Anthropic now writing “~90% of code via Claude.” But this acceleration comes with risks: “Threat actor capability compression [is] occurring—Tier 1 and Tier 2 actors are converging as script kiddies can now ask models to write ransomware and C2 infrastructure.”

The shift in workflow is fundamental. As Clinton described it, we’re moving to “ask AI to do work, return to check results”—a complete reversal of traditional development processes. This creates new categories of vulnerabilities that traditional security tools weren’t designed to handle.

Dmitri Alperovitch, co-founder of CrowdStrike, brought historical perspective to these challenges. Reflecting on CrowdStrike’s founding after the 2010 Operation Aurora attacks, he emphasized that “if you can stop sophisticated actors, everything else becomes easy.” His advice for today’s founders was characteristically direct: “Don’t fear big company competition – fear unknown hungry startups.”

The Investment Landscape: Opportunity Amid Uncertainty

The investment panel featuring Rob Ackerman, Andrew McClure, and Phil Venables revealed a market in transition. “2025 cybersecurity financing: ~1,000 events, $15B volume with 50% being AI/AI-first companies,” they reported, but warned that “Series A to B graduation [is] declining (400 A rounds vs 40 B rounds = 10:1 ratio).”

The key insight? We’re moving from “orchestration” to what they termed “choreography” – AI agents organizing themselves in ways that traditional human-managed systems never could. This shift requires entirely new approaches to security architecture and governance.

Security Leaders Grapple with the “Lethal Trifecta”

Security practitioners Maurice Boissiere, Randy Sabett, and Pat Moynahan introduced a crucial framework for AI security risk assessment. They identified the “Lethal Trifecta for AI Agents: external data sources, external communications, and private data via unprompted input.” This framework provides a practical lens for evaluating AI deployments, though they admitted the overall assessment remains “chaotic due to AI adoption pressure vs security fundamentals.”

The panel emphasized that while “C-suite [is] now paying attention,” many organizations still lack basic incident response capabilities, with insufficient logging and “no forensic capabilities to determine breach scope.”

Media and Market Reality Check

Daniel Whitenack from the Practical AI Podcast provided valuable context on AI’s evolution, identifying three distinct phases: traditional ML (still widely used for specific tasks), foundation models (requiring technical expertise), and current generative AI that’s “squeezing out the middle” by enabling “business domain experts [to] bypass data scientists.”

Maria Varmazis from T-Minus Space Daily highlighted sector-specific vulnerabilities, noting that the “$614B global space industry” remains “10-15 years behind cybersecurity best practices.” Recent incidents include University of Maryland researchers using an “$800 antenna to intercept sensitive military/police communications” and “Russia’s 2022 ViaSat attack [that] disabled Eastern European satellite communications.”

Startup Innovation: Hardware Meets AI

Beyond software solutions, Tensor Machines demonstrated how AI security extends to physical systems. With “$2M NSF funding and 5 patents filed,” they’re addressing the “$5T+ autonomous systems market” through “physics-informed neural networks for real-time physical fingerprinting.” Their live demonstration showed automatic failover when camera spoofing was detected – exactly the kind of autonomous response needed as AI systems become more prevalent in critical infrastructure.

Lessons from the Trenches: Fundraising and Building

Throughout the day, practical wisdom emerged from battle-tested entrepreneurs. Alperovitch’s fundraising philosophy resonated: “Would you rather have 50% of a pea or 10% of a watermelon? No one ever went bankrupt because of dilution.” His emphasis on execution over technology trends – “customers buy effectiveness, not technology trends” – provided grounding amid AI hype.

The bourbon tasting session offered its own metaphor for startup persistence, featuring Charleston Red Corn Bourbon made from a “colonial-era variety that nearly died out” until a “Clemson professor found 2 cobs in seed vault [and] regenerated the line.” Sometimes the most valuable innovations come from reviving what others have given up on.

Take Action: Preparing for the AI Security Future

The insights from DataTribe’s Innovation Day point to several immediate actions every cybersecurity leader should take:

Assess your AI exposure now. Use the “Lethal Trifecta” framework to evaluate every AI deployment in your organization. Catalog which systems have external data access, communication capabilities, and access to private data without human oversight.

Invest in behavioral detection over signatures. Traditional signature-based security is already failing against AI-generated threats. Companies like Tensor Machines are pioneering behavioral fingerprinting approaches that can adapt to new attack patterns in real-time.

Prepare for agent governance. Whether you’re deploying AI agents or defending against them, establish clear policies for agent identity management, permission structures, and audit trails. The companies that solve this challenge early will have significant competitive advantages.

Bridge the talent gap strategically. With AI democratizing both offensive and defensive capabilities, focus on hiring people who can architect secure AI systems rather than just operate traditional security tools. The future belongs to organizations that can “choreograph” rather than just orchestrate their security operations.

Plan for autonomous security. As Jason Clinton noted, we’re approaching a world where “AI writes code → AI finds bugs → AI tests vulnerabilities → AI fixes issues.” Start experimenting with AI-powered security automation in low-risk environments to build competency for this inevitable future.

The cybersecurity industry stands at an inflection point. Organizations that act on these insights now—while their competitors are still debating whether AI is hype or reality—will be the ones defining security standards for the next decade. The question isn’t whether AI will transform cybersecurity, but whether you’ll be leading or following that transformation.

I attended DataTribe’s Cyber Innovation Day 2025 and compiled insights from presentations, panels, and networking sessions throughout the event.

Please reach out to us via our webpage and LinkedIn below.

www.bostonmeridian.com

Boston Meridan LinkedIn Page <- Follow this company!

About the author

Shawn Anderson has an extensive background in cybersecurity, beginning his career while serving in the US Marine Corps. He played a significant role as one of the original agents in the cybercrime unit of the Naval Criminal Investigative Service.

Throughout his career, Mr. Anderson has held various positions, including Security Analyst, Systems Engineer, Director of Security, Security Advisor, and twice as a Chief Information Security Officer (CISO). His CISO roles involved leading security initiatives for a large defense contractor’s intelligence business and an energy company specializing in transporting environmentally friendly materials.

Beyond his professional achievements, he is also recognized for his expertise in the field of cybersecurity. He is a sought-after speaker, writer, and industry expert, providing valuable insights to both C-Suite executives and boards of directors.

Currently, Mr. Anderson serves as the Chief Technology Officer (CTO) for Boston Meridian Partners. In this role, he evaluates emerging technologies, collaborates with major security providers to devise cybersecurity strategies, and delivers technological insights to the private equity and venture capital community.

Overall, Shawn Anderson’s career journey showcases a wealth of experience in cybersecurity and leadership roles, making him a respected and influential figure in the industry.

Cybersecurity and convergence of IT/IoT/OT environments – It is time!

April 15, 2025 / blog_Bizeman / 0 Comments

The convergence of Information Technology (IT), the Internet of Things (IoT), and Operational Technology (OT) is reshaping industries, yet OT remains deeply rooted in its on-premises heritage. Industry trends estimate that 80-90% of OT systems are still managed locally, reflecting a historical preference for air-gapped or minimally connected setups to ensure uninterrupted operations in critical infrastructure. A prime example is the Programmable Logic Controller (PLC), a rugged industrial computer that automates processes like running assembly lines in manufacturing, regulating power grids in energy, or controlling water treatment in utilities. PLCs, with lifecycles often spanning 20-30 years, are built for reliability but rarely designed for cloud connectivity, anchoring many OT environments to legacy systems.

Thes systems are often incompatible with cloud connectivity. Recent market analyses highlight a slow but growing shift toward hybrid and cloud-based solutions, with cloud adoption in OT security and management projected to rise significantly—though it still lags on-premises dominance. This hesitancy stems from concerns over latency, cybersecurity risks, and regulatory compliance, particularly in sectors where downtime or breaches could have catastrophic consequences.

For CISOs, CIOs, and CTOs, navigating this transition is a strategic imperative. In this blog, we’ll explore four key points to help technology leaders prepare for this convergence and embrace a future-ready approach. During my three plus years at Boston Meridian we have come across a lot of exciting companies working in OT and helping to bridge the gap. The main topic of discussion coming up seems to be that of “active” vs “passive” or agent vs agentless based solutions. This is a tricky world to navigate because of the legacy of OT systems and the fact many of these operational systems are shifting over to the technical and security teams for monitoring. This requires architecture discussions and how to adopt new and emerging technologies for OT.

The On-Premises OT Landscape and Emerging Cloud Adoption
With 80-90% of OT systems still on-premises, industries prioritizing control—like manufacturing with its PLCs and SCADA, or energy with its grid management—favor localized setups to mitigate risks. However, IoT integration is nudging these sectors toward hybrid models, where cloud solutions enhance monitoring and analytics while preserving on-premises stability. Understanding this shift’s pace is critical for aligning with industry-specific needs.
Why Hybrid Environments Are the Sweet Spot
A hybrid approach blends on-premises reliability with cloud flexibility, delivering tailored benefits across OT-reliant sectors. It enables real-time insights and predictive maintenance—think centralized oversight for utilities or optimized logistics in transportation—all while maintaining security. This balance is especially appealing for industries like manufacturing and energy, where legacy systems must coexist with modern demands.
Strategic Choices: Cloud, On-Premises, or a Blend?
The path forward varies by industry. Staying on-premises offers control, crucial for oil and gas pipelines or healthcare’s smart systems, but limits scalability. Full cloud adoption suits data-driven monitoring in logistics yet risks latency in time-sensitive OT processes. A hybrid model often strikes the right chord—cloud analytics for non-critical workloads paired with local control for mission-critical operations—allowing leaders to tailor strategies to their sector’s realities.
Leveraging AI, ML, and Vulnerability Analysis as the Convergence Catalyst
Artificial Intelligence (AI) and Machine Learning (ML) transform raw data from IoT, IT, and OT systems into actionable intelligence, revolutionizing both architecture design and monitoring. In architecture design, AI-driven simulations help leaders model resilient hybrid environments, optimizing data flows between on-premises OT and cloud-based IT systems.

For example, in manufacturing, AI can predict how IoT sensors integrate with legacy PLCs, ensuring low-latency performance. ML algorithms refine these designs by learning from operational patterns, enabling adaptive architectures that scale securely—critical for energy grids or transportation networks. For monitoring, AI-powered anomaly detection identifies deviations in real-time, such as unusual equipment behavior in utilities or traffic anomalies in logistics, flagging potential failures before they escalate.

ML enhances this by continuously improving detection accuracy, learning from historical OT data to reduce false positives. Vulnerability analysis, a key AI/ML application, strengthens cybersecurity across converged environments. By scanning IoT devices, IT networks, and OT systems, AI identifies weaknesses—like outdated firmware in healthcare devices or misconfigured SCADA systems in oil and gas—prioritizing risks based on exploitability.

This proactive approach helps CISOs design segmented architectures that isolate critical OT assets while enabling secure cloud monitoring. Together, these technologies empower leaders to build robust, future-proof systems and maintain vigilant oversight, turning convergence into a competitive advantage.

Industries Poised to Benefit

This convergence impacts on a range of OT-dependent verticals, each with unique stakes:

Manufacturing: Industrial control systems and automation stand to gain from hybrid monitoring and AI-driven maintenance.
Energy and Utilities: Grid and water management can leverage cloud analytics while securing critical infrastructure.
Oil and Gas: Remote pipeline operations benefit from hybrid scalability without compromising safety.
Transportation and Logistics: Real-time coordination improves with AI and hybrid visibility.
Healthcare: Emerging OT in smart hospitals gains efficiency and security through strategic integration.

For technology leaders across these sectors, the IT/IoT/OT convergence demands action. What is the call to action:

Don’t wait for your organization to ask “what are we doing about OT?”. I know many of my peers are busy with the day to day, “blocking and tackling” and might feel they don’t have the time to look at this. You have to make the time.

Begin by assessing your infrastructure, how can cloud integration enhance your OT systems? Craft a roadmap balancing on-premises strengths with hybrid innovation, and harness AI to unlock data-driven potential. Whether you prioritize cloud agility, reinforce on-premises control, or blend both, preparation is key. Don’t underestimate the value of building architecture diagrams of the different systems. Make sure you have a strategy around vulnerability analysis and visibility. Finally, it’s about resilience and recovery as you WILL have issues. The adversaries are relentless and have more and more tools at their disposal every day.

In a few weeks I will be at the 2025 RSA Conference in San Francisco. I along with the team at Boston Meridian Partners would be happy to chat about the state of the markets or help you navigate the M&A process. Please reach out to us via our webpage and LinkedIn below.

www.bostonmeridian.com

Boston Meridan LinkedIn Page <- Follow this company!

About the author

Overall, Shawn Anderson’s career journey showcases a wealth of experience in cybersecurity and leadership roles, making him a respected and influential figure in the industry.

ZTA, Secure by Design, Platform, Best of Suite, what does all this mean???

November 22, 2024 / blog_Bizeman / 0 Comments

Boom… A little over a month ago, I published a blog around best of breed vs. best integrated vs. best of luck. Other related topics that CISOs, CTOs, and other C-Suite executives often discuss include Zero Trust Architecture (ZTA), Secure by Design, Best of Suite, and platform. Many CISOs and CIOs have strong opinions on these topics. Some feel ZTA is a bogus strategy and impossible to achieve, while others are committed to achieving it. Secure by Design is a dream many of us in the industry have had for decades. This blog will dive deeper into each of these topics, highlight companies in each area, and provide some talking points/benefits for each.

Defining Zero Trust Architecture (ZTA)

On the surface, Zero Trust Architecture is exactly what it sounds like: trust nothing without verification. This means verifying explicitly and using the principle of least privilege, where entities only have access when needed. Another key aspect is the “assume breach” mentality. While I understand the rationale, I prefer explicit verification over assuming a breach. For example, I know my house is secure because the doors are locked, and my dogs would alert me to any intruders. Similarly, a well-architected and monitored network should achieve the same level of security. Zero Trust is a continuous journey rather than a final destination.

Understanding Secure by Design

Secure by Design emphasizes integrating security into every layer of a system from the outset. As a CTO or CISO, fostering a culture of security by design is crucial. This approach includes principles like least privilege, assume breach, and defense in depth. Think of it like a car equipped with safety features such as airbags, seatbelts, and sensors. Similarly, your network should be designed with multiple layers of security. Achieving Secure by Design involves threat modeling, secure coding practices, and regular security training. Companies helping companies with this are Microsoft, Google, AWS, Cisco, IBM, Palo Alto Networks, and Crowdstrike. Crowdstrike has an interesting take on this as they push for “resilient by design” which I prefer as a practitioner. Security is always evolving and adversaries have even more resources to use against us. It’s critical to be resilient to achieve any level of success. Secure by Design is good as well so consider options of both when researching this for your own organizations

Best Integrated vs. Best of Platform

In a previous post, I discussed “best integrated,” which aligns with the concept of “best of platform.” This approach involves selecting a broad set of tools within an extensible framework that supports your goals and security needs. Always choose tools with built-in integration capabilities to ensure seamless operation. Some of the same companies as above are considered highly focused on on “best integrated” and walk the line into platform if customers wish to do so. Technology companies that focus on “platform” are Trend Micro, Qualys, Zscaler, Lacework, and Tenable. Thes companies focus on cloud-native solutions, compliance, advanced threat protection, insurance, and management solutions which all taken together help customers build a “best platform”.

Best of Suite

The best of suite approach involves selecting a comprehensive suite of security tools from a single vendor. Having worked at an investment bank for the past three years, I’ve seen a trend towards security consolidation. The managed services space is also growing as more companies outsource their security needs. While the initial cost can be higher, this approach requires careful planning and architecture. It is important to understand there are small differences in each of these. While Microsoft is on many of these lists it is due to the fact you can choose some or all of their capabilities. Google is very similar where you can look at Gartner, 451, or Forrester¹ and they will have both companies highly rated. This is important for “Best of Suite”. Other companies to consider would be Salesforce, Oracle, SAP, Adobe, Workday, and ServiceNow. They have “platforms” around Enterprise resource planning, customer relationship management, IT Service Management, and Operations Management. They can integrate tools across marketing, sales, service, and commerce.

Conclusion

Over the past two blogs, we’ve explored best of breed, best integrated, best of suite, platform, and Secure by Design. Each approach has its complexities, costs, and challenges. It’s essential to consider the data and remember that “culture eats strategy” every day of the week. As a new CIO, CTO, or CISO, gaining buy-in from key stakeholders is crucial. My recommendation is to choose a framework, build your architecture based on existing capabilities, and develop a roadmap for gradual improvement. Change requires time and endurance, but with a strategic approach, you can shift the culture one tool at a time.

In conclusion, take a strategic approach rather than a tactical one to avoid constantly playing “whack-a-mole.” A well-developed architecture will align the C-Suite and help you create a robust security plan. Avoid making decisions based on personal preferences alone, and focus on building a cohesive and secure environment.

If I missed speaking with you at Blackhat, I along with the team at Boston Meridian Partners would be happy to jump on a call to chat about the state of the markets or help you navigate the M&A process. Please reach out to us via our webpage and LinkedIn below.

www.bostonmeridian.com

Boston Meridan LinkedIn Page <- Follow this company!

About the author

Shawn Anderson² has an extensive background in cybersecurity, beginning his career while serving in the US Marine Corps. He played a significant role as one of the original agents in the cybercrime unit of the Naval Criminal Investigative Service.

Currently, Mr. Anderson serves as the Chief Technology Officer (CTO) for Boston Meridian Partners. In this role, he evaluates emerging technologies, collaborates with major security providers to devise cybersecurity strategies, and delivers technology insights to the private equity and venture capital community.

Overall, Shawn Anderson’s career journey showcases a wealth of experience in cybersecurity and leadership roles, making him a respected and influential figure in the industry.

Boston Meridian Fireside chat at RSA Conference Reception 2024. — It's all about the data!

Observations from RSAC2024 – A Security Roadmap for AI

June 10, 2024 / blog_Bizeman / 0 Comments

Most of us have fully recovered from our very busy week at this year’s RSA Conference. The massive cyber security event which takes place in San Francisco with over 60k of my closest cybersecurity friends. As most of us already figured would be the topic de jour, there were very few if any in attendance, who were not talking about GenAI. Specifically, the impacts it is and will have on our industry and the rest of the world as we know it.

I have written about Artificial Intelligence (AI) in the past and how it’s going to be the integration of GenAi and different other solutions which will truly cause significant disruption. GenAI and the combination of other technologies such as robotics, medical, oil and gas exploration, retail delivery, fast food experience, and even tier 1 and 2 security operations center functions. This all sounds really cool and fascinates me with the massive potential GenAI has to impact the world.

Boston Meridian Partners, the company I work at, hosts a reception on Sunday evening each year prior to the conference. We host this meeting for numerous startups and friends from the private equity and venture capital world as well as many C suite executives with interest in cyber security. Our goal the past few years has been to get some top-notch speakers to share their wisdom with the crowd and this year’s speakers did not disappoint.

We had Chris Krebs from SentinelOne, Brian Finch from Pillsbury Winthrop Shaw Pittman LLP, and Kate Kuehn from WTI who shared key points on regulatory issues (Note: Thankfully we have the EU who have established many key requirements for the world to follow as our own US government has been slow to pass any legislation with real teeth). They also spent time talking about risk and the importance of collaboration and coordination. While we discussed many key investor topics around GenAI it couldn’t have been a better way to set the stage for the RSA Conference and our very full week of over 150 meetings from across the community. ¹

I took away quite a few pointers as I met with startups, CEOs, speakers at numerous events, and in general discussion around a good craft beer or cocktail in the evenings. Here are some take aways from and things to ponder as we push GenAI initiatives in our companies and industries we support.

As mentioned above, collaboration and coordination are key to success. It might seem like a no brainer but many of us are hardheaded and like to “go it alone” which can be a big mistake. It’s imperative we work closely with industry partners, government agencies, and relevant councils to manage AI-related risks and incidents. Fostering this collaboration will enhance GenAI security across the collective.
Risk – I have spoken on this, written about it, and will shout it from the highest mountain as long as I have air in my lungs; “It’s about the data”. It’s super critical to conduct thorough risk assessments specific to GenAI deployments and focus on the data risk. It’s being sucked like a vacuum into these Large Language Models (LLMs) with little to no understanding where the data is going or how it is being used. It is critical for CIO’s and CISO’s to identify potential vulnerabilities, threats, and attack vectors related to AI technologies.
Zero Trust and/or Secure by Design – We use the term “it’s easier to bake it in than spread it on like peanut butter” but often we find companies doing this very thing. Prioritize security from the outset. Ensure those GenAI systems are designed with zero trust (we trust nothing and no one without verification) and with security in mind, incorporating Multi-Factor Authentication, encryption, and access controls.
Supply Chain and 3rd party security – Extending security considerations throughout the entire GenAI supply chain is now a must do these days. One cannot assume the suppliers are doing the right thing or have you in their best interest. They should, but it’s up to you to verify and set up the appropriate controls and service level agreements. This goes back to the “collaborate” discussion above and ensuring safe and responsible use of GenAI.
Finally, we have the geek moment and have to allow technology and or the “hunters” to red team. This should be performed regularly as GenAI exercises and tabletops with the executive team’s involvement. By simulating attacks organizations can identify weaknesses and improve defenses. Since it’s often illegal to go on the offensive against adversaries we must have strong defenses in place.

Overall, it was another amazing week in San Francisco, and I enjoyed meeting so many innovative companies on the show floor. While GenAI is still in its infancy it has quickly become a show of force from all thing’s cybersecurity. GenAI will speed up our ability to do our jobs (but also the adversaries) but we have to be strategic and work faster through the traditional “blocking and tackling” abyss we so often fall into. Teamwork makes the dreamwork!

If you missed us at RSA, I along with the team at Boston Meridian Partners will be at Blackhat, Las Vegas this coming August so please reach out to us via our webpage and LinkedIn below.

www.bostonmeridian.com

Boston Meridan LinkedIn Page <- Follow this company!

Learn More: CISA Roadmap FAQs, CISA AI Roadmap, Cam Sivesind article on “cisa-roadmap-for-ai”, Grayson Milbourne – Forbes Article on “Small Business Roadmap for AI”

About the author

Throughout his career, Anderson has held various positions, including Security Analyst, Systems Engineer, Director of Security, Security Advisor, and twice as a Chief Information Security Officer (CISO). His CISO roles involved leading security initiatives for a large defense contractor’s intelligence business and an energy company specializing in transporting environmentally friendly materials.

Beyond his professional achievements, Anderson is recognized for his expertise in the field of cybersecurity. He is a sought-after speaker, writer, and industry expert, providing valuable insights to both C-Suite executives and boards of directors.

Currently, Anderson serves as the Chief Technology Officer (CTO) for Boston Meridian Partners. In this role, he evaluates emerging technologies, collaborates with major security providers to devise cybersecurity strategies, and delivers technology insights to the private equity and venture capital community.

Overall, Shawn Anderson’s career journey showcases a wealth of experience in cybersecurity and leadership roles, making him a respected and influential figure in the industry.

Tag: GenAI

AI is here to stay! One person’s perspective on attending Datatribe – Cyber Innovation Day 2025

Cybersecurity and convergence of IT/IoT/OT environments – It is time!

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