Exposure management company Seemplicity has launched four AI agents, each with a specific role, designed to help organizations find and fix security exposures faster across their attack surfaces.
Launched last week, the
new AI agents address a key challenge that security teams and MSSPs face when addressing their attack surface or those of clients, according to
Megan Horner, director of product marketing for the Arlington, Virginia-based company.
“If you spend any time with security teams, one thing becomes clear fast: finding exposures isn’t the problem, fixing them is,” Horner wrote in a
blog post announcing the AI agents. “Every day, teams are buried in data, context switching across tools, and chasing ownership just to make progress. That’s exactly what we set out to solve by introducing AI agents for exposure management. As part of Seemplicity’s approach to AI in vulnerability management, these agents apply intelligent automation to one of security’s toughest operational challenges: turning findings into fixes.”
In doing so, the five-year-old vendor, which fully embraces AI in its Exposure Action Platform and
raised $50 million in Series B funding in August, is joining most others in the cybersecurity industry in
integrating AI agents into their products and services to accelerate and scale their capabilities in a security environment that is seeing adversaries doing the same.
They’re already having an effect, according to Horner. In the first month of deployment, some organizations are reporting a four-times increase in the speed of remediation of exposure risks and up to a 95% improvement in resolving exposures, they said.
The Agents and Their Jobs
The agents, which are built into the Exposure Action Platform, each perform a specific task. The Clarity Agent takes raw technical data and molds it into easily understood and narrative-driven summaries, which allows security teams to review them more quickly and communicate more easily.
The Find the Fixer Agent cleans scanner tags and aligns them with team hierarchies, automatically building organization-aware ownership structures, Horgan wrote, adding that “ownership is one of the hardest parts of remediation. ... No more manual tag management or routing errors, just precise task assignment that ensures the right teams get the right work every time. This is where AI in vulnerability management meets real operational impact – simplifying the messy, human side of fixing.”
The remediation Agent embeds step-by-step guidance – including commands and procedures – into the findings and tailors them to an organization’s tools, while the Insights Agent turns dashboard data into prioritized intelligence, allowing CISOs and others to act on and share.
“AI agents for exposure management are designed to solve real problems security teams face every day: too much noise, too little context, too much manual work,” she wrote.
Rapidly Growing Adoption
Agentic AI will continue to be adopted by security teams and threat hunters. Capital venture firm
Menlo Ventures wrote that the ongoing evolution of both security for AI and AI for security will have to be reconsidered in terms of AI agents.
“How do we harness agents to revolutionize our defensive capabilities, turning them into autonomous threat hunters and incident responders?” the firm
wrote. “How do we secure a new class of software that operates with unprecedented autonomy and system access? Unlike traditional applications with predictable attack surfaces, agents make autonomous decisions about which systems to access and how to use them.”
That said, “when these agents go rogue, they can traverse systems and access sensitive data at machine speed, rapidly penetrating deeper into critical infrastructure than any human attacker could achieve.”
Benefits and Risks
Cybersecurity pros say agentic AI in cybersecurity is an important tool, but caution that guardrails need to be in place and humans firmly in the loop.
“Comfort comes from boundaries and trust,”
Certis Foster, senior threat hunter lead at
Deepwatch, told MSSP Alert. “The key is using AI agents to augment human decision-making, not replace it. Most teams today are comfortable deploying agents for alert triage, reporting, data aggregation, and analysis. Where comfort levels drop is when agents begin to take autonomous action, such as containment or system modification, without explicit human approval.”
Organizations need to define such trust boundaries to safely and effectively use agents, he said.
David Brumley, a professor at
Carnegie Mellon University and CEO of
Mayhem Security, told MSSP Alert there are benefits that come with AI agents in cybersecurity, but organizations also need to understand the risks.
“AI agents are tech that take actions on behalf of humans that can be huge productivity boosters, while massively decreasing time to remediation,” Brumley said. “But we also know AI agents hallucinate, and will confidentially take incorrect or harmful action. That's why it's important to have built-in guardrails, and a human-on-the-loop making sure agents' actions are safe.”
In addition, AI agents can lull people into a false sense of safety, he said, adding that “it's like a self-driving car, where slowly you get lured into paying less and less attention to the road. Then, bam! You get hit because you were not paying attention.”
'An Opportunity and a Challenge' for MSSPs
That said, a significant but overlooked benefit is the natural language interaction humans can have with AI agents.
“We've always been able to orchestrate security at the speed and scale of AI agents in theory,” he said. “The problem is the amount of time it takes to write that orchestration and get it deployed. AI agents solve that problem precisely because they don't need to be programmed; they just need to be directed and monitored.”
For MSSPs, AI agents are “both an opportunity and a challenge,” Deepwatch’s Foster said. “Success will depend less on deploying more automation and more on integrating AI into the customer experience by improving context, communication, and confidence. Providers that combine human judgment with explainable AI will earn trust and differentiate themselves in a crowded market.”
