Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security teams don’t struggle to find exposures – they struggle to fix them. The new Seemplicity AI Agents change that. Integrated into the Exposure Action Platform, they combine intelligence and automation to help teams move faster, stay aligned, and reduce risk. From clear findings and ownership mapping to guided fixes and executive insights, Seemplicity’s AI Agents make exposure management truly action-driven.

Security teams are drowning in findings, but only a fraction of exposures actually put the business at risk. Treating every issue as equal spreads resources thin, slows down remediation, and leaves critical systems exposed. Threat Exposure Management (TEM) changes the equation by forcing teams to focus on the exposures most likely to cause real damage – and to build the operating model that ensures they get fixed.

The problem with cybersecurity risk today? It won’t sit still. Modern risk is messy. It spreads across cloud workloads, third-party services, shadow assets, and developer pipelines. It evolves faster than most teams can keep up. And it rarely announces itself with a neat dashboard alert. Yet many organizations still rely on the old playbook: manual risk assessments, stitched together from siloed tools, delivered days or weeks after they’re already outdated.

We’ve normalized drowning in vulnerabilities. Thousands of findings, weekly scans, red dashboards – it’s all become background noise. And still, attackers slip through. Why? Because we’ve been solving for the wrong variable. The real question isn’t what’s vulnerable, it’s what’s exposed. Not every vulnerability is a threat.

Despite ongoing investment in detection tools, vulnerability management continues to underdeliver. Security teams don’t lack data. They lack the systems to act on it. According to our latest research, 91% of organizations report delays in remediation, and 41% say they struggle to make findings actionable. The result is a persistent backlog of exploitable vulnerabilities, compounded by manual workflows and poor coordination between teams.

Tech companies love a good framework, especially ones that promise structure, transparency, and alignment with internal standards. Zoom’s Vulnerability Impact Scoring System (VISS) is one of those. It’s designed to translate internal security policies into a scoring model that supports impact-based decision making, particularly for bug bounty programs and external disclosure workflows. On paper, that sounds useful. But in practice, it doesn’t scale.