Conventional cybersecurity systems react after a breach. They wait for signs like malware signatures, suspicious files, or forensic clues—then sound the alarm. But by the time they respond, damage has often been done. This slow, reactive approach floods security teams with alerts, many of them false positives. Enter Augur—a new kind of threat defense platform. Rather than waiting for attacks to happen, Augur predicts them. It identifies attacker behavior and infrastructure months before a breach, allowing defenders to shut down threats proactively.
Augur Predictive Cybersecurity Model Changes the Game
Augur, formerly known as SecLytics, just secured $7 million in seed funding. The round was led by General Advance and included support from major names in tech and security. These include Ely Kahn of SentinelOne, Spencer Thompson of Prelude, Travis McPeak of Resourcely, and executives from Amazon, Google, and Cloudflare.
This funding fuels the next phase of growth for Augur’s unique threat prevention platform. Alongside the funding, the company revealed its new brand and clarified mission: to stop cyberattacks before they even start.
The founders, Joe Lea and Saeed Abu Nimeh, built Augur to detect malicious behavior during the earliest stages of an attack. Instead of reacting after malware hits, the platform scans the global internet for attacker activity—flagging early-stage setups like command-and-control servers or phishing domains.
The result? Security teams get advanced warnings. They can take action long before attackers deploy their tools. Augur’s detection engine is powered by agentic AI trained on ten years of threat data, behavior models, and real-world telemetry.
With a false positive rate as low as 0.007%, Augur’s alerts are both rare and highly accurate. The system integrates easily with existing security tools, allowing organizations to automate blocking or receive detailed threat insights for manual response.
Used by Critical Industries, Proven in Major Attacks
Augur is already in use across critical sectors—including finance, energy, telecom, and healthcare. These industries rely on it to neutralize threats before they escalate. The platform can detect hostile infrastructure weeks or even months before traditional systems catch up.
Its track record includes identifying infrastructure behind high-profile attacks:
- SolarWinds (APT 29): Augur detected indicators tied to the infamous supply chain breach before the attack hit headlines.
- Colonial Pipeline (DarkSide ransomware): The platform flagged infrastructure linked to this major disruption.
- Log4j Exploitation: Augur spotted early signs of threat actors attempting to exploit the vulnerability.
- Cl0p’s MOVEit Campaign: Augur alerted defenders about attack planning long before data exfiltration began.
- Volt Typhoon: The platform tracked Chinese-linked targeting of U.S. infrastructure early on.
- UNC5537/Snowflake Breach: Detected adversary behavior prior to public disclosure.
- ALPHV/BlackCat Attacks: Spotted early activity tied to the attacks on Change Healthcare and Load Depot.
These wins underline how valuable predictive security can be. While traditional systems scramble after an incident, Augur gives defenders a crucial head start.
Why Predictive Threat Prevention Matters Now
Cyberattacks are evolving fast. AI is now being used by adversaries to boost the speed and scale of their campaigns. In this environment, security teams must match or exceed that pace.
“Attackers are weaponizing AI. Defenders must do the same,” said Joe Lea, Augur CEO. “We’ve spent over a decade building a predictive model of adversary behavior. Our system empowers defenders to act first, with unmatched precision.”
Investor Ely Kahn, VP of Product at SentinelOne, shares that confidence. “Augur reflects the best of cybersecurity innovation. The platform, the leadership, and the results speak for themselves. I’m excited to support their journey.”
With fresh funding and a growing client base, Augur is well-positioned to lead a shift toward proactive, AI-powered security. As the threat landscape continues to evolve, tools that predict and prevent attacks—not just respond—will be essential.
