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Prophet Safetya startup creating autonomous synthetic intelligence methods for cybersecurity protection, introduced Tuesday it has raised $30 million in Collection A funding to speed up what its founders describe as a basic 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 Venturescomes as organizations wrestle with an awesome 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 staff 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 guide, 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 Platformincreasing 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 usually depend on inflexible, pre-programmed playbooks.
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Safety groups drowning in 960 each 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 Pink Hatskilled these challenges firsthand. In line with his observations, organizations obtain a mean of 960 safety alerts each 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 just too many alerts, too many false positives,” Shah defined. “If you consider the world that we dwell in at this time, 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 essential expertise hole, noting there are 5 million open positions in cybersecurity globally, making a state of affairs the place even organizations with finances to rent can not discover certified personnel.
Prophet’s resolution 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 methods reworking cybersecurity
The excellence between Prophet’s “agentic” AI and the copilot fashions deployed by bigger cybersecurity distributors like CrowdStrike, Microsoftand 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 knowledge.
“Copilot is reactive,” Shah defined. “You will have 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 need to know what inquiries to ask. The analyst continues to be within the loop for each single alert that is available in as a result of they’re interacting with it.”
In contrast, Prophet’s agentic AI proactively initiates investigations the second an alert is triggered, autonomously gathering proof, reasoning by means 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 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 educated to behave like an professional analyst.”
Constructing enterprise belief by means of clear AI decision-making and knowledge safety
Prophet’s system leverages a number of frontier AI fashions, together with choices from Openai, Anthropicand others, deciding on probably the most applicable mannequin for every particular activity. The corporate has constructed what Shah describes as an “evals framework” to make sure accuracy, repeatability, and consistency whereas stopping AI hallucinations—a essential concern in safety contexts the place false data can result in inappropriate responses.
“In safety, you’re in a belief constructing train with the safety groups, and should you 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 take care of what Shah calls “a excessive bar for safety groups.”
Information privateness and safety signify 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 features as AI handles 1000’s of safety alerts
Prophet’s buyer base contains Dockerwhich offered a testimonial for the funding announcement. Tushar Jain, Docker’s EVP of Engineering and Product, famous that “Prophet AI is already serving to streamline components 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, decreased noise, and a extra targeted safety staff.”
The corporate has additionally revealed case research demonstrating dramatic enhancements in SOC effectivity. Eric Wille, CISO at Cupboard Works, reported lowering his staff’s alert quantity from 33,200 down to only six alerts requiring human consideration, successfully permitting his small staff to function with the effectivity of a a lot bigger group.
“Prophet AI reduce our alert queue from 1000’s 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% progress in voice phishing operations, whereas noting that 79% of detected threats have been malware-free, making them tougher to determine by means of conventional signature-based detection strategies.
The corporate’s method to integration throughout current safety instruments supplies a key aggressive benefit. Fairly than requiring organizations to switch their present safety stack, Prophet integrates with current Safety Data and Occasion Administration (SIEM) methods, Endpoint Detection and Response (EDR) platforms, and different safety instruments.
“When you’ve received to go get 5 – 6 completely 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 impartial 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 choice. “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 essential differentiator in an trade that runs on belief,” Wolford stated in an announcement.
Accel’s cybersecurity funding portfolio contains CrowdStrike, Tenableand BlackPoint Cyberoffering 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 help engineering growth 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 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 methods, with 40% of huge 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 concentrate on higher-value safety work.
“This isn’t about eliminating jobs,” Shah stated. “It’s about making certain an analyst doesn’t should spend time triaging and investigating alerts, as a result of who needs to do this all day, day by day? As an alternative, they’ll concentrate on the 4% of points that really 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 skill to show 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 the 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 staff 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.
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