In today’s digital ecosystem, data is both an organization’s most valuable asset and its biggest vulnerability. As sensitive information spreads across platforms like Salesforce, safeguarding it requires more than just firewalls and access controls—it demands a cultural shift.
In a recent webinar, host Justin Hazard of AutoRABIT sat down with Wipro’s Brian Rizman and Marty Rawle to explore the ever-evolving landscape of data security, the emerging risks across cloud platforms, and how organizations can proactively protect themselves.
We’ll discuss these key findings of the webinar:
1. Tackling Data Security Challenges Head-On
“Data breaches happen, and they’re always going to happen.” – Justin Hazard, Principal Security Architect, AutoRABIT
Data security today is no longer about if a breach will happen—it’s about when. Organizations now operate in a breach-first world, where sensitive data lives far beyond the confines of IT and is often scattered across departments.
This decentralization introduces risk, especially when business units deploy technology without standardized security protocols.
These threats are not just external—insiders, whether intentional or negligent, pose just as much danger.
It’s incredibly important to understand where your data lives, who has access to it, and how to detect suspicious activity early.
By focusing on internal threats first, organizations can also preemptively cover many external threat vectors. It’s a strategy that balances awareness with action—empowering businesses to stay one step ahead of inevitable attacks.
2. The Crisis of Trust in Data and the Role of Transparency
“There’s obviously a lot of different ways to solve the problem, but AI is shedding light on some of the data concerns.” – Marty Rawle, General Manager and Salesforce Head of Sales, Wipro
Trust in data is eroding—from both inside and outside organizations. The rise of AI is exposing just how inconsistent internal data quality can be. And as companies lean more on data-driven decisions, they’re realizing their foundational data may be flawed or fragmented across systems.
Without a strong MDM (Master Data Management) approach or standardized processes, leaders are left questioning whether they can trust the very data shaping their strategies.
Externally, the issue runs deeper. Consumers unknowingly interact with dozens—sometimes hundreds—of third-party vendors every time they share data.
That “chain of custody” becomes murky, especially when breaches occur, and customers are left wondering how their information got so far beyond their control.
The solution? More transparency and better tooling. Clearly communicating how customer data is used and secured is extremely important. Internally, teams need systems that monitor data flow and integrity across the entire lifecycle.
It’s not just about security—it’s about rebuilding trust in an interconnected digital world.
3. AI in Salesforce: Power, Risk, and Responsibility
“It’s very hard to have a customer conversation right now without talking about AI in one form or another.” – Brian Rizman, Senior Partner and Cybersecurity and Risk Services Advisor, Wipro
AI is everywhere in today’s Salesforce conversations—but adopting it isn’t as simple as flipping a switch.
Companies can’t blindly trust AI outputs unless they understand and control the full data flow. Especially in regulated industries, AI must be treated like any other user—with clear access boundaries and auditability.
While AI can speed up development, it still needs human validation. AI might get you 90% there, but that last 10%—the part that protects against risk—matters most.
Then there’s the “too helpful” problem. LLMs can surface sensitive data—like Social Security numbers—if prompted poorly. Without the right guardrails, AI becomes a liability.
That’s why secure prompt engineering and strict permissioning are critical. AI agents should be given only the access they need—and monitored like human users.
4. Security as Culture: From Siloed to Shared Responsibility
“Inside an organization and outside an organization, it’s much more critical now than ever to have that secure mindset.” – Marty Rawle
Security can no longer be the job of one person or one team. Effective security must become an organization-wide culture shift—one that empowers every team, not just the security office.
Successful organizations are building collaborative environments where security and IT act as service partners to the business. Champions programs—security advocates embedded within business units who understand both the risks and the workflows—are on the rise. This model enables proactive alignment instead of reactive policing.
True security needs to touch every layer—people, processes, and tech. It’s not just about data protection—it’s about mindset.
When everyone understands their role in keeping systems secure, the entire business moves faster and with more confidence.
To meet future demands, security must scale with the organization. That means embedding it into daily operations, building internal partnerships, and fostering shared ownership. It’s not just about enforcing rules—it’s about enabling secure innovation.