Call Centre Security Language: The Hidden Cost of Imprecise Terminology

Matt Smallman Avatar Matt Smallman
5 min read
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The language organisations use to describe their call centre securitySecurity is one of three key measures of Call Centre Security process performance. It is usually expressed as the likelihood that the process allows someone who isn't who they claim to be to access the service (False Accept). processes reveals their fundamental understanding of what they're trying to achieve. Through implementing and observing security solutions across dozens of call centres, I've seen (or perhaps heard) how terminology constrains thinking and, ultimately, determines security effectiveness.

Early in my banking career, I spent months optimising an "identificationIdentification is call centre security process step in which an individual record is found in the organisation's systems of record. In this step users claim an Identity. and verification" process. We analysed knowledge-based question combinations, created sophisticated rules with mandatory questions, randomised sets, and variable failure thresholds. The result barely moved our fraud metrics before bad actors adapted their approach.

The failure wasn't execution, it was conceptual. By framing our challenge as "verification," we'd limited ourselves to checking information rather than making sure the caller was who they claimed to be to a reasonable degree of assurance. The language trapped us in knowledge-based approaches when more effective solutions existed.

The Language of Security Thinking

Listen to how agents introduce security processes:

  • "For security, I need to..."
  • "To verify your identity, can you please tell me..."
  • "For data protection, can you confirm your..."

Each phrase reflects a different organisational mindset about security objectives. More significantly, internal terminology inevitably shapes agent behaviour and customer experience, creating self-fulfilling prophecies about what security can achieve.

Authentication Clarity

Organisations using "authenticationAuthentication is the call centre security process step in which a user's identity is confirmed. We check they are who they claim to be. It requires the use of one or more authentication factors." and "security" language demonstrate precise thinking about their objectives. They understand the distinction between identification (finding the right customer record) and authentication (proving the caller is that customer).

This clarity manifests in their approach to performance measurement. They think in terms of:

  • Confidence levels rather than binary pass/fail
  • Risk tolerance for different transaction types
  • Cost-benefit trade-offs between security and friction

These organisations naturally gravitate towards measurable security methods—voice biometricsVoice Biometrics uses the unique properties of a speakers voice to confirm their identity (authentication) or identify them from a group of known speakers (identification)., network authentication, and device-based approaches because they're seeking appropriate degrees of confidence rather than absolutes.

Verification Confusion

Most call centres describe their processes as "verification." Whilst technically acceptable for knowledge-based approaches, this terminology often masks confused thinking about objectives and frequently conflates identification with authentication.

Verification-focused organisations typically exhibit:

  • Process compliance by agents over security outcomes
  • Implied belief that greater effort equals greater security
  • Difficulty breaking from knowledge-based authentication
  • Binary thinking about correct/incorrect answers
  • Limited measurement of actual fraud prevention

The fundamental issue: you can verify someone knows information without gaining confidence they are who they claim to be. Social engineering has rendered most "verification" processes ineffective, yet organisations persist because their language constrains their thinking.

One investment manager's verification process had become so complex that genuine customers regularly failed whilst fraudsters with basic preparation succeeded. The binary framework—callers either "passed" or "failed" and prevented a more nuanced approach based on risk levels.

Confirmation Limitations

Some organisations acknowledge their limited ambitions: "We need to confirm a few details for data protection purposes."

These organisations conflate identification and authentication but are honest about not attempting robust security. They prioritise regulatory compliance and operational simplicity over genuine protection. 

Despite this honesty, confirmation processes often become unnecessarily complex. Organisations ask multiple questions when one or two would achieve the same limited objective. This reveals risk aversion rather than security logic—adding steps without improving outcomes.

The irony is that confirmation-level security often fails even basic data protection requirements. Asking for publicly available information hardly constitutes "reasonable steps" to verify identity in an era of widespread data breaches. Many of these organisations have lost the origins of their process in corporate history and find any change difficult as the risks are not well understood.

The Security Theatre Problem

The most problematic organisations use authentication or verification language whilst implementing processes that achieve neither. This mismatch creates:

  • False confidence amongst stakeholders about security effectiveness. Boards and executives believe they have robust authentication when they're merely checking postcodes.
  • Resource misallocation optimising weak processes rather than implementing effective solutions. Teams spend months refining question sets that fraudsters easily bypass.
  • Extended vulnerability beyond the organisation's direct exposure. Weak security at utilities or retailers enables account takeovers at banks or government services.

Customer Risk Beyond Organisational Boundaries

Imprecise language doesn't just reflect muddled thinking—it creates genuine customer harm. Many organisations calculate their own exposure whilst ignoring broader implications.

A utility company might assess minimal risk from billing information disclosure. But that same compromised account becomes a stepping stone for sophisticated attacks elsewhere. Fraudsters use these weak links to build credibility for higher-value targets.

One case I reviewed involved weak "confirmation" type processes that were referred to as "verification" by everyone and enabled address disclosure to an estranged partner. What the organisation viewed as low-risk data protection became a life-threatening security failure. 

A Framework for Security Language

Based on implementing various approaches, I've developed this framework for assessing organisational maturity through terminology:

The language predicts not just current capability but capacity for improvement. Authentication-minded organisations adapt to new threats; verification-focused ones optimise existing processes; confirmation-level ones resist change.

Implementation Reality

Moving beyond linguistic constraints requires deliberate effort. I recommend organisations:

  • Adopt authentication language throughout the business. Call it what it is: a security process with distinct identification and authentication steps.
  • Measure confidence levels rather than process compliance. Not every interaction requires the same authentication strength—be explicit about risk-based decisions.
  • Acknowledge current limitations honestly. If you're providing confirmation-level security, don't pretend otherwise. This honesty enables realistic risk assessment.
  • Consider customer impact beyond organisational boundaries. Your weak authentication becomes someone else's vulnerability.

The Path Forward

Language shapes thinking, and thinking determines outcomes. Organisations trapped in verification or confirmation mindsets will struggle to implement effective authentication regardless of technology investments. The first step isn't selecting new technology—it's changing how you discuss security objectives. 

Your customers deserve precision in how you think about their security. That precision starts with the language you use.

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