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Prophet Safety, a startup growing autonomous synthetic intelligence methods 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 subtle 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 a substitute deploying totally autonomous brokers that may examine and reply to threats with out human intervention.
“Each safety operations crew is confronted with a twin mandate of lowering threat whereas driving operational effectivity,” stated Kamal Shah, Prophet Safety’s co-founder and CEO, in an unique interview with VentureBeat. “Our Agentic AI SOC Platform addresses each challenges by automating handbook, repetitive duties in safety operations with velocity, 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 Menace Hunter and Prophet AI Detection Advisor. The platform represents a major evolution from conventional Safety Operations Heart (SOC) automation instruments, which generally depend on inflexible, pre-programmed playbooks.
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Safety groups drowning in 960 every 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 Crimson Hat, skilled these challenges firsthand. In accordance with his observations, organizations obtain a median of 960 safety alerts every day, with as much as 40% going uninvestigated on account of useful resource constraints.
“The primary criticism that I see from prospects each single day is simply too many alerts, too many false positives,” Shah defined. “If you concentrate on the world that we reside in at the moment, on common, an organization will get 960 alerts a day from all the safety instruments that they’ve of their setting, and 40% of these alerts are ignored as a result of they simply don’t have the capability to go and examine all these alerts.”
The issue is compounded by a extreme scarcity of expert cybersecurity professionals. Shah factors to what he calls a crucial expertise hole, noting there are 5 million open positions in cybersecurity globally, making a scenario the place even organizations with price range to rent can not discover certified personnel.
Prophet’s answer straight 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 methods 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 methods require human analysts to provoke queries and interpret responses, basically serving as subtle search interfaces for safety information.
“Copilot is reactive,” Shah defined. “You have got an alert are available in and a safety analyst has to go and write questions, ask the query to say, hey, what does this imply? And you must know what inquiries to ask. The analyst remains to be within the loop for each single alert that is available in as a result of 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 the information, and reaching conclusions with out human intervention. The system paperwork each step of its investigation course of, creating an audit path that enables safety groups to grasp and confirm its reasoning.
“What Prophet AI is ready to do is instantly, as soon as an alert is triggered, it proactively goes and completes the investigation,” Shah stated. “Inside a matter of minutes, your investigation is full and it is aware of what inquiries to ask, and it’s been skilled to behave like an knowledgeable analyst.”
Constructing enterprise belief by clear AI decision-making and information 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 crucial concern in safety contexts the place false info can result in inappropriate responses.
“In safety, you might be in a belief constructing train with the safety groups, and for those who hallucinate, you’re going to lose belief they usually’re not going to make use of your product,” Shah emphasised. The corporate employs a retrieval-augmented technology (RAG) structure mixed with rigorous analysis processes to keep up what Shah calls “a excessive bar for safety groups.”
Knowledge privateness and safety symbolize paramount issues for Prophet’s enterprise prospects. The corporate employs a single-tenant structure guaranteeing buyer information stays remoted, and maintains contractual agreements with AI mannequin suppliers stopping buyer information from getting used to coach or fine-tune fashions.
Early prospects report dramatic effectivity positive aspects 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 serving to streamline elements of our safety workflow, and we’re simply getting began. With the latest launch of Menace Hunter and rising integration with our methods, we see a transparent path to sooner response occasions, lowered noise, and a extra targeted safety crew.”
The corporate has additionally printed case research demonstrating dramatic enhancements in SOC effectivity. Eric Wille, CISO at Cupboard Works, reported lowering his crew’s alert quantity from 33,200 down to simply six alerts requiring human consideration, successfully permitting his small crew to function with the effectivity of a a lot bigger group.
“Prophet AI reduce our alert queue from hundreds to dozens,” Wille stated in a video testimonial. “It’s a power multiplier that removes investigation bottlenecks, improves analyst focus, and helps us reply to actual threats sooner.”
Rising cyber threats and evolving assault strategies drive demand for AI-powered protection
Prophet’s emergence happens towards a backdrop of quickly evolving cyber threats. CrowdStrike’s 2025 World Menace Report documented a 150% enhance in China-nexus cyber exercise and a 442% development in voice phishing operations, whereas noting that 79% of detected threats had been malware-free, making them more durable to determine by conventional signature-based detection strategies.
The corporate’s method to integration throughout current safety instruments gives a key aggressive benefit. Reasonably than requiring organizations to interchange their present safety stack, Prophet integrates with current Safety Info and Occasion Administration (SIEM) methods, Endpoint Detection and Response (EDR) platforms, and different safety instruments.
“If you happen to’ve acquired to go get 5 – 6 totally different copilots to make use of inside your group, it’s going to be very complicated,” Shah defined. “What prospects are telling us is that, hey, I would like an unbiased AI SOC platform that may assist me triage, examine and reply to alerts from all of my safety instruments, not only one or two.”
Accel’s preemptive funding indicators rising confidence in autonomous safety methods
Eric Wolford, Accomplice at Accel, emphasised the mixture of technical innovation and confirmed market traction that drove the funding determination. “What stood out to us about Prophet wasn’t simply the technical ambition, however the real-world traction: they’re delivering autonomy and velocity whereas exhibiting their work—a crucial differentiator in an trade that runs on belief,” Wolford stated 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 searching for capital — underscores investor confidence within the firm’s trajectory.
The funding will primarily assist engineering enlargement and go-to-market acceleration as Prophet scales its platform capabilities. The corporate plans to proceed increasing its agentic AI platform, probably including new modules for added safety operations workflows.
Business consultants predict widespread adoption of AI brokers will reshape cybersecurity panorama
Prophet’s success displays broader traits reshaping cybersecurity. Deloitte’s 2025 cybersecurity forecasts predict widespread adoption of agentic AI methods, with 40% of enormous enterprises anticipated to deploy such methods of their SOCs by 2025. The consulting agency characterizes this shift as shifting from “automation that follows directions to automation that thinks.”
The corporate’s “function elevation” philosophy — enhancing slightly than changing human analysts — addresses issues about AI displacing cybersecurity professionals. Shah emphasised that automation ought to free analysts from repetitive duties to give attention to higher-value safety work.
“This isn’t about eliminating jobs,” Shah stated. “It’s about guaranteeing an analyst doesn’t need to spend time triaging and investigating alerts, as a result of who desires to do this all day, day-after-day? As a substitute, they’ll give attention to the 4% of points that actually matter to a corporation. They’re advancing their careers and doing extra higher-order safety work.”
As cyber threats proceed evolving and incorporating AI capabilities, the arms race between attackers and defenders more and more depends on technological sophistication slightly than human capability alone. Prophet’s method suggests a future the place cybersecurity turns into primarily a contest between AI methods, with human experience targeted on strategic oversight and complicated decision-making.
The corporate’s potential to display 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, probably setting the usual for a way organizations defend towards 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 crew wasn’t actively searching for funding. Accel approached them anyway, recognizing that in a world the place attackers launch AI-powered assaults at machine velocity, the outdated playbook of human-driven protection isn’t simply inadequate — it’s out of date.
