Prophet Safety, a startup growing autonomous synthetic intelligence techniques for cybersecurity protection, introduced Tuesday it has raised $30 million in Sequence A funding to speed up what its founders describe as a elementary shift from human-versus-human to “agent-versus-agent” warfare in cybersecurity.
The Menlo Park-based firm’s funding spherical, led by enterprise capital agency Accel with participation from Bain Capital Ventures, comes as organizations battle with an amazing quantity of safety alerts whereas refined attackers more and more leverage AI to scale and automate their operations. Prophet’s method represents a marked departure from the “copilot” AI instruments which have dominated the market, as an alternative deploying totally autonomous brokers that may examine and reply to threats with out human intervention.
“Every security operations team is faced with a dual mandate of reducing risk while driving operational efficiency,” mentioned Kamal Shah, Prophet Safety’s co-founder and CEO, in an unique interview with VentureBeat. “Our Agentic AI SOC Platform addresses both challenges by automating manual, repetitive tasks in security operations with speed, accuracy and explainability.”
The funding announcement coincides with Prophet’s launch of what it calls the trade’s most complete Agentic AI SOC Platform, increasing past its preliminary Prophet AI SOC Analyst to incorporate Prophet AI Risk Hunter and Prophet AI Detection Advisor. The platform represents a big evolution from conventional Safety Operations Heart (SOC) automation instruments, which usually depend on inflexible, pre-programmed playbooks.
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Safety groups drowning in 960 day by day alerts face unprecedented capability disaster
The cybersecurity trade faces a disaster of capability and functionality. Shah, who beforehand served as CEO of container safety firm StackRox earlier than its acquisition by Purple Hat, skilled these challenges firsthand. In keeping with his observations, organizations obtain a median of 960 safety alerts day by day, with as much as 40% going uninvestigated as a result of useful resource constraints.
“The number one complaint that I see from customers every single day is too many alerts, too many false positives,” Shah defined. “If you think about the world that we live in today, on average, a company gets 960 alerts a day from all the security tools that they have in their environment, and 40% of those alerts are ignored because they just don’t have the capacity to go and investigate all those alerts.”
The issue is compounded by a extreme scarcity of expert cybersecurity professionals. Shah factors to what he calls a vital expertise hole, noting there are 5 million open positions in cybersecurity globally, making a state of affairs the place even organizations with funds to rent can’t discover certified personnel.
Prophet’s answer instantly addresses this capability crunch. Over the previous six months, the corporate’s AI SOC Analyst has carried out greater than 1 million autonomous investigations throughout its buyer base, saving an estimated 360,000 hours of investigation time whereas delivering 10 occasions sooner response occasions and lowering false positives by 96%.
How autonomous AI brokers differ from reactive copilot techniques reworking cybersecurity
The excellence between Prophet’s “agentic” AI and the copilot fashions deployed by bigger cybersecurity distributors like CrowdStrike, Microsoft, and Sentinel One is key to understanding the corporate’s worth proposition. Conventional copilot techniques require human analysts to provoke queries and interpret responses, basically serving as refined search interfaces for safety knowledge.
“Copilot is reactive,” Shah defined. “You have an alert come in and a security analyst has to go and write questions, ask the question to say, hey, what does this mean? And you have to know what questions to ask. The analyst is still in the loop for every single alert that comes in because they’re interacting with it.”
Against this, Prophet’s agentic AI proactively initiates investigations the second an alert is triggered, autonomously gathering proof, reasoning by way of the information, and reaching conclusions with out human intervention. The system paperwork each step of its investigation course of, creating an audit path that permits safety groups to know and confirm its reasoning.
“What Prophet AI is able to do is immediately, once an alert is triggered, it proactively goes and completes the investigation,” Shah mentioned. “Within a matter of minutes, your investigation is complete and it knows what questions to ask, and it’s been trained to act like an expert analyst.”
Constructing enterprise belief by way of clear AI decision-making and knowledge safety
Prophet’s system leverages a number of frontier AI fashions, together with choices from OpenAI, Anthropic, and others, choosing probably the most applicable mannequin for every particular job. The corporate has constructed what Shah describes as an “evals framework” to make sure accuracy, repeatability, and consistency whereas stopping AI hallucinations—a vital concern in safety contexts the place false data can result in inappropriate responses.
“In security, you are in a trust building exercise with the security teams, and if you hallucinate, you’re going to lose trust and they’re not going to use your product,” Shah emphasised. The corporate employs a retrieval-augmented technology (RAG) structure mixed with rigorous analysis processes to take care of what Shah calls “a high bar for security teams.”
Knowledge privateness and safety characterize paramount issues for Prophet’s enterprise prospects. The corporate employs a single-tenant structure making certain buyer knowledge stays remoted, and maintains contractual agreements with AI mannequin suppliers stopping buyer knowledge from getting used to coach or fine-tune fashions.
Early prospects report dramatic effectivity good points as AI handles hundreds of safety alerts
Prophet’s buyer base consists of Docker, which supplied a testimonial for the funding announcement. Tushar Jain, Docker’s EVP of Engineering and Product, famous that “Prophet AI is already helping streamline parts of our security workflow, and we’re just getting started. With the recent release of Threat Hunter and growing integration with our systems, we see a clear path to faster response times, reduced noise, and a more focused security team.”
The corporate has additionally printed case research demonstrating dramatic enhancements in SOC effectivity. Eric Wille, CISO at Cupboard Works, reported lowering his group’s alert quantity from 33,200 down to simply six alerts requiring human consideration, successfully permitting his small group to function with the effectivity of a a lot bigger group.
“Prophet AI cut our alert queue from thousands to dozens,” Wille mentioned in a video testimonial. “It’s a force multiplier that removes investigation bottlenecks, improves analyst focus, and helps us respond to real threats faster.”
Rising cyber threats and evolving assault strategies drive demand for AI-powered protection
Prophet’s emergence happens in opposition to a backdrop of quickly evolving cyber threats. CrowdStrike’s 2025 International Risk Report documented a 150% enhance in China-nexus cyber exercise and a 442% progress in voice phishing operations, whereas noting that 79% of detected threats have been malware-free, making them tougher to determine by way of conventional signature-based detection strategies.
The corporate’s method to integration throughout present safety instruments gives a key aggressive benefit. Slightly than requiring organizations to interchange their present safety stack, Prophet integrates with present Safety Data and Occasion Administration (SIEM) techniques, Endpoint Detection and Response (EDR) platforms, and different safety instruments.
“If you’ve got to go get five or six different copilots to use within your organization, it’s going to be very confusing,” Shah defined. “What customers are telling us is that, hey, I want an independent AI SOC platform that can help me triage, investigate and respond to alerts from all of my security tools, not just one or two.”
Accel’s preemptive funding indicators rising confidence in autonomous safety techniques
Eric Wolford, Accomplice at Accel, emphasised the mix of technical innovation and confirmed market traction that drove the funding resolution. “What stood out to us about Prophet wasn’t just the technical ambition, but the real-world traction: they’re delivering autonomy and speed while showing their work—a critical differentiator in an industry that runs on trust,” Wolford mentioned in a press release.
Accel’s cybersecurity funding portfolio consists of CrowdStrike, Tenable, and BlackPoint Cyber, offering the agency with deep experience in evaluating safety applied sciences. The preemptive nature of the funding spherical — Prophet was not actively in search of capital — underscores investor confidence within the firm’s trajectory.
The funding will primarily help engineering growth and go-to-market acceleration as Prophet scales its platform capabilities. The corporate plans to proceed increasing its agentic AI platform, doubtlessly including new modules for extra safety operations workflows.
Business consultants predict widespread adoption of AI brokers will reshape cybersecurity panorama
Prophet’s success displays broader tendencies reshaping cybersecurity. Deloitte’s 2025 cybersecurity forecasts predict widespread adoption of agentic AI techniques, with 40% of enormous enterprises anticipated to deploy such techniques of their SOCs by 2025. The consulting agency characterizes this shift as transferring from “automation that follows instructions to automation that thinks.”
The corporate’s “role elevation” philosophy — enhancing fairly than changing human analysts — addresses issues about AI displacing cybersecurity professionals. Shah emphasised that automation ought to free analysts from repetitive duties to deal with higher-value safety work.
“This is not about eliminating jobs,” Shah mentioned. “It’s about ensuring an analyst doesn’t have to spend time triaging and investigating alerts, because who wants to do that all day, every day? Instead, they can focus on the 4% of issues that truly matter to an organization. They’re advancing their careers and doing more higher-order security work.”
As cyber threats proceed evolving and incorporating AI capabilities, the arms race between attackers and defenders more and more depends on technological sophistication fairly than human capability alone. Prophet’s method suggests a future the place cybersecurity turns into primarily a contest between AI techniques, with human experience centered on strategic oversight and sophisticated decision-making.
The corporate’s potential to reveal measurable enhancements in SOC effectivity whereas sustaining transparency and explainability positions it to seize market share as organizations grapple with the twin pressures of accelerating threats and protracted expertise shortages. With the brand new funding, Prophet Safety goals to speed up this transition, doubtlessly setting the usual for the way organizations defend in opposition to AI-powered assaults in an period the place the velocity and scale of threats exceed human capability to reply manually.
However maybe probably the most telling indicator of this shift isn’t Prophet’s expertise or funding — it’s what occurred when Shah’s group wasn’t actively in search of funding. Accel approached them anyway, recognizing that in a world the place attackers launch AI-powered assaults at machine velocity, the previous playbook of human-driven protection isn’t simply inadequate — it’s out of date.
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