Modern enterprises are facing a new era of cybersecurity challenges where security alerts arrive in overwhelming numbers and cyberattacks evolve faster than ever before. Security analysts often spend valuable hours manually investigating alerts that turn out to be benign, while higher-priority signals risk getting lost in the queue. At the same time, attackers are leveraging AI to launch more complex, large-scale attacks with greater speed, putting additional pressure on already overwhelmed security operations teams.

Recognizing these growing operational challenges, Kamal Shah, Co-Founder and CEO of Prophet Security, introduced the company’s Agentic AI SOC Platform to help organizations automate investigations, reduce analyst workload, and accelerate threat response through AI-driven security operations. “When ChatGPT launched, the first question that went through my mind was, can we leverage AI to solve this decade-old problem in security operations?” Shah said.

Prophet Security officially launched in 2023 after securing $11 million in seed funding from Bain Capital Ventures. The company spent its early years working closely with experts in Security Operations and design partners, refining its technology, and understanding how agentic AI could operate the way a senior analyst does inside a modern Security Operations Center (SOC). By 2025, Prophet Security had expanded commercially, serving organizations across healthcare, financial services, manufacturing, telecommunications, media, and technology sectors.

At the center of the company’s platform is Prophet AI SOC Analyst, an agentic AI-powered solution designed to autonomously triage, investigate, and respond to security alerts. Unlike traditional workflows where alerts sit in queues waiting for analysts, Prophet AI immediately begins investigations the moment an alert is triggered. The speed difference is significant. Human analysts often require 30 to 60 minutes to fully investigate a single alert, while attackers may establish control over systems in less than 30 minutes. “If a defender takes one to four hours, the attacker takes less than 30 minutes. It’s game over,” Shah noted.

Prophet AI reportedly reduces average investigation times to approximately four minutes while eliminating alert dwell time. The platform dynamically builds investigation plans, gathers evidence from connected tools, correlates findings, and produces explainable conclusions backed by data. What differentiates the system, according to Prophet Security, is not the agentic architecture itself but how it reasons. Where legacy SOAR platforms depend on fixed workflows and static playbooks, Prophet AI treats that kind of guidance as context rather than a script, classifying each alert and determining the investigation plan based on best practices for that alert type. The results are investigations with more depth than competing approaches produce, adapted to the context of each incident. “Prophet AI uses an agentic architecture, which means the system doesn’t follow a static script. It reasons,” Shah explained. This flexibility is becoming increasingly important as artificial intelligence transforms the cybersecurity landscape itself. During the interview, Shah referenced Mythos, an advanced AI model developed by Anthropic that reportedly demonstrated the ability to complete a simulated corporate cyberattack autonomously. “We have to fight AI with AI,” Shah said. “If you’re relying on a human to keep up with the attacks where the attackers are using AI, you’re not going to win.”

Taking a measured view of what’s ahead, Shah acknowledged that organizations are becoming increasingly aware of how AI may accelerate cyber threats in the coming years. Prophet Security’s platform is built around helping companies prepare for that shift, where both attackers and defenders will rely heavily on AI-powered systems.

Beyond alert investigations, the company has expanded its platform with additional capabilities. Prophet AI Threat Hunter allows analysts to conduct proactive threat hunting using natural language queries, helping teams search for suspicious behavior across complex environments more efficiently. The company also introduced Prophet AI Detection Engineer, a solution designed to improve detection coverage using the MITRE ATT&CK framework. The platform identifies security gaps, recommends improvements, and helps reduce false positives that contribute to analyst fatigue and burnout. These products form a connected AI-driven security operations platform spanning detection optimization, threat hunting, investigation, and response.

The company has already seen measurable results among customers. One Fortune 500 manufacturing organization reportedly used Prophet AI to complete more than 10,000 investigations within six months. According to Prophet Security, 71 percent of alerts were autonomously resolved as benign without analyst involvement, while confirmed malicious threats were escalated with full investigative context.

Across its customer base, the company reports an average tenfold improvement in SOC productivity. One customer highlighted the value the platform is providing to their organization:

“Prophet AI has transformed how we triage and investigate alerts. It has given us scale and capacity to keep up with the volume of alerts, while allowing our analysts to focus on proactive threat hunting and strategic projects. We’re now faster, more focused, and have the capacity to scale without adding immediate headcount.” — John Barrow, Chief Information Security Officer at JB Poindexter & Co.

More importantly, customers are gaining the ability to focus on strategic security initiatives instead of spending entire workdays reviewing repetitive alerts. Shah believes transparency remains one of the company’s most important differentiators. “Prophet AI is not a black box,” he said. “The platform shows every query, every data source, and how each piece of evidence influenced the result.

The leadership team behind Prophet Security combines deep cybersecurity expertise with firsthand operational experience from some of the industry’s most recognized security companies. Shah’s background in building and scaling cybersecurity startups has shaped Prophet Security’s practical approach to AI adoption. Rather than replacing human analysts, the company focuses on eliminating repetitive work so security professionals can spend more time on higher-value initiatives such as threat hunting, detection engineering, and long-term security planning. As cybersecurity continues evolving, Prophet Security believes the role of analysts will evolve as well. “The human role doesn’t diminish; it elevates,” Shah concludes.