By Jackson Schultz, CEO & Co-Founder of ArgusEye
Product security should be a business enabler. Yet for many organizations, it remains a bottleneck due to manual time-consuming workflows that often take weeks or even months to fully complete. With development cycles becoming more demanding, time-to-market is being pushed out even further, causing productivity losses and missed revenue opportunities.
For business leaders focused on accelerating product releases, the question is no longer how to cut security corners, but how to make the process faster and more efficient without compromising safety and compliance.
The cost of getting product security wrong
Across the board, 64% of security teams say their detection, triage, and investigation processes are still heavily manual. While essential, the workload compounds quickly as review cycles require carefully sifting through every vulnerability and identifying high-risk ones for remediation to ensure both customers and organizations are protected.
Spotting flaws before a product reaches the market is critical. To ensure these issues are caught, security reviews must be as comprehensive and accurate as possible so vulnerabilities don’t slip through the cracks.
Why the challenge is growing
Today’s threat landscape is only expanding and becoming more sophisticated, and every new risk requires more analysis and energy from security teams.
At the same time, 67% of organizations are short on cybersecurity staff to maintain this growing demand, meaning the additional workload falls on teams who are already stretched thin, inevitably delaying time-to-market market further.
Even if organizations could rapidly expand their teams, hiring alone won’t solve this problem. Change must be made at the system level to fully solve this bottleneck.
Continuous security is the new standard
The first step in alleviating this challenge is transitioning to continuous workflows that shift risk identification, assessment, and remediation from periodic checks to an ongoing practice. This allows teams to proactively identify and address vulnerabilities earlier and resolve them faster.
AI agents and digital workers embedded into product security workflows make this model easily attainable. In automating routine tasks, they speed up the review cycle by around half and free up time for teams to focus on higher-value work that requires more experience, expertise, and judgment.
AI agents can alleviate a variety of manual work that typically tacks on weeks to the review process, including:
- Threat modeling: AI accelerates threat identification by surfacing potential threats earlier in the development lifecycle.
- Triage risks: AI prioritizes weaknesses that pose the greatest risk, enabling teams to focus on what matters most.
- Remediation: AI recommends targeted code fixes and reduces the time required to resolve flaws. Code generation is a commodity. System understanding is the challenge.
- Reporting: AI automates audit-ready documentation and reporting, reducing manual administrative work and simplifying compliance.
Driving faster and safer product launches
Improving time to market is only a part of the equation. AI agents designed with transparency, accountability, and auditable decision-making can play a role in significantly mitigating security risk while speeding up the entire review process.
By combining threat modeling with risk analysis, AI digital workers give teams a complete understanding of how systems are connected, helping them identify issues that might otherwise be overlooked, reduce the likelihood of human error, and support more informed decisions throughout the production lifecycle.
As product development continues to advance and become more challenging, the organizations that support their security teams with responsible AI will be the ones who thrive. They’ll consistently bring safer products to market faster, increase team productivity, and capitalize on revenue opportunities.
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ABOUT THE AUTHOR
Jackson Schultz is the Co-Founder and CEO of ArgusEye. He has spent more than a decade in enterprise cybersecurity and previously served as Risk Lead at Google.
