AegisAI
Autonomous AI-based email threat protection
AI Product Manager
More locations: New York, NY, USA
About the job
- At least 5 years of Product Management experience.
- Strong understanding of machine learning and artificial intelligence fundamentals, including model training, evaluation, and deployment.
- Ability to balance model performance with precision and explainability requirements.
- Ability to translate complex technical problems into clear, measurable product goals.
- Experience working cross-functionally with research, data, and engineering teams.
- Ability to discuss embeddings and evaluation metrics and connect them to customer pain points.
- Ability to work directly with customers and with Engineering and go-to-market teams.
- Ability to operate as a general manager and owner of a product area.
- Investigate real-world attacks, associated data, and threat reports to uncover detection gaps and trends.
- Partner with Engineering, security analysts, and customers to understand attacker tactics, behaviors, and potential false-negative patterns.
- Synthesize data and detection insights into actionable intelligence that informs product direction.
- Define the roadmap for detection systems, focusing on artificial intelligence agents, model improvements, and signal coverage.
- Translate threat insights into detection requirements with AI Engineering and Security/Threat Intelligence analysts.
- Set success metrics around precision and recall, track performance, and iterate.
- Collaborate with go-to-market teams to explain how detections work and what threats they catch.
- Publish thought leadership pieces based on threat intelligence.
- Build internal tools and narratives that help customers trust, validate, and adopt the products.
- Translate technical results into value stories around protection, return on investment, and visibility.
- Partner with AI and infrastructure teams to operationalize detection models safely, efficiently, and at scale.
- Define requirements for detection improvements, feedback loops, and evaluation pipelines.
- Ensure rapid iteration between research, development, and production rollout.
- Experience in cybersecurity, email security, or fraud detection systems.
- Familiarity with transformer models, fine-tuning, or agentic architectures.
About the company
AegisAI offers an enterprise email security platform that protects against phishing, malware, and BEC. It uses a network of autonomous AI agents—custom LLMs—that cooperatively inspect links, attachments, metadata, and user behavior in real time, replacing static rules. It deploys via API integrations with Microsoft 365 and Google Workspace for rapid setup, targeting fintech and tech enterprises, and is led by former Google security leaders with an agent-based approach that reportedly reduces false positives by up to 90%. Its goal is to scale the platform across large organizations by accelerating product development and expanding go-to-market efforts.
Company Size
11-50
Company Stage
Series A
Total Funding
$49M
Headquarters
New York City, New York
Founded
N/A
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Simplify's Take
What believers are saying
- AI-generated attacks grew fivefold in 2025, expanding AegisAI's target market immediately.
- Vanguard extends protection beyond inboxes by following links and attachments through cloaked pages.
- Lokker and Mesh cite catches against compromised Salesforce routes and AI spear phishing.
What critics are saying
- Proofpoint, IRONSCALES, Sublime Security, and Doppel launched agentic email defenses in 2026.
- Microsoft 365 and Google Workspace control inbox distribution, squeezing standalone security vendors on price and access.
- If customers adopt native copilots and bundled security, AegisAI becomes a narrow point product.
What makes AegisAI unique
- Former Google Safe Browsing and reCAPTCHA leaders built AegisAI in 2025.
- July 2026 Series A reached $49 million, accelerating autonomous defense agents and Vanguard.
- Dozens of fintech and AI customers, including Mesh, LangChain, and Lokker, validate demand.
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Benefits
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↓ -2%1 year growth
↓ -2%2 year growth
↓ -2%AegisAI has raised $36 million in Series A funding led by Battery Ventures, bringing total funding to $49 million since its founding less than a year ago. Accel and Foundation Capital also participated. The cybersecurity startup uses AI agents to detect sophisticated phishing attacks that bypass traditional rule-based security systems. Founded by former Google employees Cy Khormaee and Ryan Luo, the company mimics human analysis to identify subtle anomalies in incoming messages. AegisAI plans to expand beyond email security into broader data protection. Early clients include Mash, LangChain and Lokker. The company faces competition from specialised startups like Ocean and established cybersecurity vendors integrating their own AI capabilities.
AegisAI raises $36 million Series A led by Battery Ventures to fight the new wave of AI spear phishing. PR Newswire With AI-generated email attacks up 5x in a single year and FBI-reported cybercrime losses hitting a record $20.8 billion, former Google reCAPTCHA and Safe Browsing leaders are scaling the first defense built for a world where no employee and no amount of training can spot the lure SAN FRANCISCO, July 23, 2026 /PRNewswire/ - AegisAI, the email security company building its own large language models (LLMs) to defend the inbox, today announced a $36 million Series A led by Battery Ventures, with participation from existing investors Accel and Foundation Capital, to fight the next generation of increasingly sophisticated, AI-powered email attacks, which are having devastating consequences for individuals and organizations. The round brings the company's total funding to $49 million, less than a year after the company emerged from stealth. AegisAI will use the funding to scale its fleet of autonomous defense agents, accelerate general availability of Vanguard, its agent that hunts threats beyond the inbox, and expand enterprise go-to-market. AI has enabled a new form of attack dubbed AI spear phishing. These attacks use LLMs to scan the internet for information about a victim and create highly targeted personalized lures designed to trick people into sharing sensitive data, downloading malware or sending money. This risk is turbocharged by the rising use of AI by individuals and workers. More widespread use of AI agents, which do work on someone's behalf without human involvement, creates a huge new attack surface for criminals, who may be able to operate undetected for long periods of time. AegisAI's technology works by leveraging intelligent language models and an orchestrated network of AI agents to analyze and act on email threats in real time, essentially fighting AI attacks with AI. The company's adaptive platform uses sophisticated reasoning to evaluate the specific intent of suspicious emails, instead of simply looking for patterns from past scams. This enables users to more quickly detect fraud, which is critical as the volume of email phishing has increased dramatically since the launch of ChatGPT. "The most immediate, catastrophic risk to your organization isn't an AI agent hacking your firewall. It's an AI model manipulating someone in your organization into handing over the keys, often through the most trusted, most vulnerable contact of the person it's targeting," said Cy Khormaee, co-founder and CEO of AegisAI. "You cannot patch human trust. If your security program still relies on template-based phishing tests and awareness training, you are training your people to spot last year's threat, not a capable agent crafting a novel lure just for them. When the attack is AI, the defense has to be AI."
AegisAI, a cybersecurity startup founded by former Google Safe Browsing and reCAPTCHA leaders Cy Khormaee and Ryan Luo, has raised $13 million in seed funding led by Accel alongside Foundation Capital. The company is developing AI-native email security to combat sophisticated threats that traditional rule-based systems struggle to detect. AegisAI deploys autonomous AI agents that analyse every aspect of an email to stop threats before they reach inboxes. The system continuously learns from real-world attacks and reduces false positives by 90% compared to legacy systems, according to the company. The startup has already secured customers including Mesh, Stelliant and Lokker. The funding will support product development, engineering team expansion and go-to-market efforts as AegisAI emerges from stealth mode.
AegisAI, an AI-native email security company backed by Accel and Foundation Capital, has released research showing AI-generated email attacks grew fivefold in 2025, now bypassing traditional security filters more than 50% of the time. The study analysed over 20,000 phishing, scam and malware emails, finding that AI-generated attacks are 75% more effective at evading traditional filters. In response, AegisAI is launching Project Vanguard, an autonomous defence AI agent that pursues threats hiding behind CAPTCHAs and cloaked pages. Built by the team behind Google's reCAPTCHA, Vanguard extends protection beyond the inbox by following suspicious links and attachments to their malicious destinations. The company, founded in 2025 by former Google security engineers, will demonstrate Vanguard at RSA Conference 2026, with early customer testing beginning later this year.
Former Google security engineers who built widely-used web protection tools have raised $13 million in seed funding for AegisAI, a startup targeting enterprise email security with autonomous artificial intelligence agents.