The conversation about AI adoption and the conversation about cybersecurity are happening in parallel in most Central PA businesses right now. Leadership is evaluating whether to move forward with tools like Microsoft Copilot. IT is managing an ongoing set of security concerns. The two conversations often involve different people and produce different decisions.
That separation is a problem. Because AI and cybersecurity are not parallel tracks. They are on the same track. And treating them as separate decisions is one of the most consistent mistakes businesses make when they begin moving toward AI adoption.
AI Makes Your Security Posture Matter More
The foundational principle is straightforward. AI tools, including Microsoft Copilot, work by accessing and analyzing your organization’s data. The more capable the AI, the more data it can access, the faster it can surface that data, and the more consequential the gaps in your security posture become.
A permissions gap that was invisible when finding a file required knowing where to look becomes highly visible when an AI can surface that file in response to a plain-language query. A misconfigured account that was low risk when the threat actor had to work to exploit it becomes a higher risk when AI tools can query your entire environment through that account’s access level.
This does not mean that AI adoption is dangerous. It means that AI adoption on top of an unprepared security environment is dangerous. The distinction is important.
The businesses deploying AI successfully are the ones that treated the security conversation as a prerequisite to the AI conversation, not as a parallel track that could be addressed separately.
What AI Adds to the Threat Landscape
There is another dimension to the AI and cybersecurity relationship that is worth understanding before your organization moves forward with adoption.
AI tools are not only being deployed by businesses for productivity. They are being used by attackers to improve the sophistication and volume of their attacks.
Phishing emails are the most visible examples. For years, security awareness training has taught employees to look for grammatical errors, unusual formatting, and awkward language as signals that an email is fraudulent. AI-generated phishing content eliminates most of those signals. The emails are grammatically correct, contextually appropriate, and personalized in ways that previously required significant attacker effort to produce.
Organizations are reporting measurable increases in the sophistication of social engineering attacks that correlate with the broader availability of AI tools to threat actors. The pattern being observed is not more attacks; it is more convincing attacks that are harder to catch with the awareness signals that traditional training emphasizes.
This has two practical implications for Central PA businesses. First, security awareness training that has not been updated to address AI-enhanced phishing is less effective than it was 18 months ago. Second, technical controls that catch phishing attempts before they reach employees, advanced email filtering, link analysis, sender verification, have become more important, not less, as the human detection layer becomes harder to rely on.
How Good Security Enables AI
The relationship between AI and cybersecurity is not only a risk relationship. A strong security posture is also the foundation that makes productive AI adoption possible.
Microsoft Copilot is a clear example. Copilot operates within your Microsoft 365 tenant, governed by your existing security policies and access controls. For organizations with clean permissions, properly configured MFA, active conditional access policies, and well-organized data environments, Copilot adds AI capability on top of a foundation that is ready to support it.
For organizations where security configuration has not been maintained, where permissions have accumulated without review, where MFA is partially deployed, where accounts exist for employees who left months ago, Copilot deployment creates exposure rather than value.
The security investment is not a cost that competes with AI adoption. It is the foundation that makes AI adoption safe and productive. Organizations that sequence this correctly, security first, AI second, get both the protection and productivity. Organizations that reverse the sequence get neither reliably.
This is why the AI readiness conversation at TCW-GAV always starts with a security assessment. Not because we want to slow down the AI conversation, but because the security posture determines what is possible, and addressing the foundation before the deployment is what makes the deployment deliver.
The Practical Implications for Central PA Businesses
For manufacturing firms, construction companies, healthcare practices, insurance agencies, and financial services businesses across Lancaster County, the AI and cybersecurity connection plays out in three specific ways.
Compliance obligations get more complex with AI in the environment. Healthcare organizations managing patient data under HIPAA, financial services firms with state and federal regulatory requirements, insurance agencies handling policyholder information, all these organizations need to understand how AI tools interact with their data governance obligations before those tools are deployed.
The attack surface expands when AI tools are in use. More data accessible to more processes through more interfaces means more potential entry points for threat actors. The security controls that were adequate before AI adoption may need to be reviewed and strengthened as part of the deployment process.
The ROI of AI depends on the security foundation. Copilot surfacing content it should not because permissions were never reviewed is not a productivity tool. It is a liability. The productivity gains that make AI adoption worthwhile are only available to organizations whose underlying environments are ready to support them.
According to Microsoft’s own AI readiness guidance, security configuration and data governance are identified as the primary prerequisites for successful Copilot deployment, not optional steps but conditions that determine whether the deployment produces value or risk.
Join Us June 24th: AI and Copilot 101 Webinar
On June 24th at 11:00 AM ET, TCW-GAV is hosting a free live webinar, AI and Copilot 101: A Practical Guide for Central PA Businesses, co-presented by Steve Walter and Julie Hodges from Microsoft. Shadow AI, the policy gap, and what a properly governed AI environment looks like are all on the agenda.
Register for the June 24th AI and Copilot 101 Webinar
TCW-GAV: The Central PA Partner Who Connects Both Conversations
At TCW-GAV, we have been managing the security and technology environments of Central PA businesses for more than 30 years. Our approach to AI adoption starts with the security posture, because that is what determines what is possible and what is safe.
Our work with Central PA businesses on AI readiness includes:
- Security configuration review and gap identification before AI tools are introduced
- Permissions audit and remediation across Microsoft 365
- MFA and conditional access policy review and completion
- Data governance assessment aligned to AI deployment requirements
- A clear, sequenced roadmap from current security posture to productive AI adoption
Security and AI Are Not Two Conversations. They Are One.
To get the most from AI adoption, start with a security foundation. Treating it as a separate decision causes adoption to falter.
Schedule a complimentary technology assessment with TCW-GAV and we will show you exactly where your security posture stands and what it means for your AI readiness.