Built by practitioners who have lived the structural asymmetry between machine-speed adversaries and human-speed defenders.
Mira Halevi spent five years leading threat intelligence at a major financial institution. In 2023, her fully-staffed SOC failed to detect a sophisticated supply-chain intrusion for 47 days — not because the team lacked skill, but because machine-speed adversaries were generating more signals than human analysts could meaningfully process. The breach was eventually discovered by a third-party forensics firm, not the internal SOC.
That experience crystallized the problem. The issue was not analyst quality. It was structural: attackers automate their reconnaissance, lateral movement, and exfiltration. Defenders still rely on human eyes to triage each alert. No team of humans, no matter how skilled, can outpace automation at scale. Mira left her role and began building the product she needed but could not buy.
The founding team — assembled from NSA Cybersecurity Directorate and CrowdStrike Threat Intelligence alumni — initially built Sockindle as a smarter SIEM correlation layer. Early design-partner feedback revealed that the real bottleneck was not correlation rules but the analyst judgment call after an alert fired: is this real, what does the attacker want, and what do I do in the next 60 seconds? That feedback drove the pivot to an autonomous AI SOC platform.
Today, Sockindle ingests full telemetry from existing SIEM and EDR tools, builds a live threat graph, dispatches autonomous hunt agents, and escalates only confirmed threats with full attack-story context. The analyst becomes the decision-maker, not the alert triager. The company is pre-seed funded and operating out of Reston, Virginia, where a significant share of the US federal and enterprise cybersecurity market is headquartered.
To make enterprise-grade threat-hunting accessible to every security team, regardless of headcount — because attackers already use AI and defenders deserve the same advantage.
The asymmetry between attacker automation and defender capacity is not a skills problem — it is a structural one. Skilled analysts exist. What they lack is a way to operate at machine speed. Sockindle exists to close that gap: by ingesting every signal, correlating across the full kill chain, and escalating only confirmed threats with the full story attached — so every security team, at any size, can defend at the same velocity as the adversaries they face. We measure our success not by alerts processed, but by real threats stopped before they become breaches.
Sockindle is at the pre-seed stage with $2M in initial funding raised in 2024. We are actively working with a select group of enterprise security design partners to validate the AI SOC platform in production environments. We are not yet broadly available — if your team is evaluating autonomous SOC augmentation tools, we are taking a limited number of design partner engagements.
Our current focus is on depth over breadth: we are working closely with a handful of security operations teams to ensure the autonomous threat graph and hunt mission framework performs reliably before we open to wider availability. If you are a CISO or SOC Manager at a company running Splunk, Microsoft Sentinel, or CrowdStrike and want early access, we want to hear from you.
Adversary-first thinking above all. Every product decision starts with the question: how does this help defenders outpace the adversary's next move? Features that improve analyst UI but do not meaningfully close the detection gap are deprioritized.
Ruthless clarity over alert noise. We apply this principle internally as much as to our product. Internally: we measure work by impact, not activity. In the product: we escalate confirmed threats with context, never raw signals. Noise is the enemy.
Transparent and auditable by design. Security software that cannot explain its own reasoning is a black box. Sockindle's every escalation includes a full evidence chain and justification. Audit trail is not a feature — it is the foundation of trust.
Security as a shared human responsibility. AI augments defenders; it does not replace them. The analyst remains in the loop on every containment decision. We build AI that amplifies human judgment, not AI that removes human accountability.
We are working with a limited number of enterprise security teams to validate Sockindle in production. Reach out to learn more.
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