COMMENTARY: Security teams have always walked a tightrope between speed and safety. But modern AI has raised the height of the wire. While AI is enabling engineering teams to help create new solutions faster than ever, it also brings new risks that require additional due diligence. Without a balanced approach, security can quickly shift from a business enabler into a bottleneck.
As AI drastically lowers the barrier to entry for cyberattacks, adversaries are deploying threats at unprecedented speed and scale. Manually defending against millions of daily attacks is not just impractical, it is mathematically impossible. Nobody needs another lecture on the importance of working smarter, but we do need to rethink traditional roles with modern technology, share insights as a community, and ensure security is integrated seamlessly into the business.
[SC Media Perspectives columns are written by a trusted community of SC Media cybersecurity subject matter experts. Read more Perspectives here.]
Operations set the baseline
Day-to-day operations may not be directly tied to shipping new products. But if your cyber operations team is drowning in manual triage and alert fatigue, they don't have the bandwidth to partner on higher-impact initiatives. Integrating AI and automation directly into operational workflows clears away that baseline friction, empowering their teams to focus on the risks and opportunities that matter most.
Generic severity ratings lack environment-specific context, and moving past them is easier said than done. But calculating true exposure changes how security teams prioritize vulnerability remediation. Factoring in internet visibility, sensitive data locations, and existing controls turns abstract risk numbers into actionable operational intelligence, cutting through the noise so teams can prioritize actual business risk.
Related reading:
- How AI Is Changing the SOC
- The agentic SOC: How to build machine-speed defense for the AI era
- As AI enters the SOC, evidence becomes more important than ever
- Your SOC, not the vendor’s: Why the AI SOC has to be customizable, not a black box
- The human factor: Why AI-powered SOCs still need people in charge
Similarly, bringing contextual risk logic to real-time security alerts allows automated Security Operations Center (SOC) agents to evaluate threats with nuance. In our environment, pairing this contextual logic with custom AI triage agents helps our global SOC auto-resolve nearly 50% of incident tickets while maintaining a 1-minute mean time to detect. High-precision automation clears away routine noise so analysts can spend their time hunting complex threats instead of rubber-stamping basic tickets.
Connecting security and technology teams
When cyber operations run smoothly, security teams can focus on integrating security architecture directly into technology engineering. Instead of sitting at the end of a build cycle as a final gatekeeper, uniting builders and defenders at the beginning under a shared framework embeds security controls even more directly into software development.
This shift changes how technology gets built. Providing engineering teams with streamlined development platforms and standardized code blocks lets them push updates faster without cutting corners.
Implementing AI accelerates this integration when paired with clear guardrails:
- Automated vulnerability remediation: Security tools shouldn't stop at finding flaws. Deploying custom AI agents allows systems to analyze container vulnerabilities, write the code fix, and submit a pull request directly to developers. In our case, handling over 213,000 findings annually through this automated workflow resolves backlog debt without interrupting product delivery.
- Agnostic model protection: Rather than trusting third-party model providers to safeguard data, building an agnostic control layer between users and external AI models sanitizes prompts, prevents personal data leakage, and blocks hidden prompt injections before commands reach internal systems.
- Safe agentic frameworks: Scaling AI across an enterprise requires moving from manual gatekeeping to Policy-as-Code. Enforcing automated evaluation gates, continuous drift monitoring, and standardized protocols, like Model Context Protocol (MCP) frameworks, let developers leverage remote AI code assistance without giving agents unchecked access to raw codebases.
- Accelerated design consults: Embedding AI assistants into internal workflow tools reduces friction for development teams. For example, deploying an AI advisory assistant helped our team slash security consult resolution times by 61%, dropping average turnarounds from 46 days to 18.
Using security transparency to build trust
When security is embedded into operations and engineering, it becomes an asset in customer relationships. Modern customers demand clear proof of security posture before signing contracts, turning responsiveness and transparency into genuine business advantages.
Internal AI tools can help transform customer assurance workflows. Deploying a specialized AI knowledge base grounded strictly in official policy documentation allows teams to respond to complex security questionnaires with greater speed and precision, achieving a 67% first-pass accuracy rate.
Transparency also extends to continuous operational visibility. As one example, we've engineered a way to offer customers real-time visibility into the security posture of their specific Equifax products, and hundreds are actively taking advantage of it. On top of that, making our public security controls framework accessible globally reassures customers while allowing other organizations to use the framework to augment their own programs. When customers have direct, verifiable visibility into how their data is protected, security becomes a primary driver of long-term trust.
Human intuition remains the foundation
Transforming security into a business accelerator requires more than technology alone to solve systemic risk. While AI and automation act as powerful force multipliers across operations, engineering, and customer assurance, critical thinking, human intuition, and strategic innovation remain the real differentiators.
By filtering out operational noise, embedding guardrails directly into development pipelines, and committing to radical transparency, security leaders can prove that modern defense isn't a barrier to innovation. It’s the foundation that makes fast, sustainable growth possible.
