AI to Your Defense.
Defense to Your AI.
Detect the intent and shut it down before it executes — prevention of AI-enhanced, AI-native, and AI-generated threats at the user edge.
AI Detection & Response engages right of bang — after execution. SalienceCyber.ai is the prevention edge of AIDR: we neutralize the attack left of bang.
THE AI ADOPTION WAVE
IS ALREADY INSIDE
YOUR PERIMETER
Enterprise AI adoption is accelerating. So is the attack surface it creates. The data makes the case no one can dispute.
WHAT HAPPENS WHEN YOUR TEAM
USES AI WITHOUT DEFENSE
Every AI tool your team adopts — ChatGPT, Claude, Gemini, Copilot, and the agents built on them — opens an attack surface your security stack was never built to see. The tools aren't the problem. The absence of AI-native defense is.
lands
later
SOC sees
SALIENCE
COGNITION
PLATFORM
"The Shift Left That No One Could Deliver. We Have."
The Salience Cognition Platform is powered by the CognitionAI Engine — neuroscience-inspired AI that neutralizes attacks before they breach, instead of chasing them after they land.
That gives your enterprise something new: the freedom to adopt AI at full speed, with the threats that adoption creates already neutralized. Your teams move forward. Your adversaries don't.
AI Observability & Threat Prevention
System-level visibility and autonomous policy enforcement across every AI tool, GenAI interaction, and agentic workflow your teams run — purpose-built agentic AI detection and prevention from the ground up.
- Real-Time Policy Enforcement
- GenAI Monitoring (ChatGPT, Claude, Gemini)
- Purpose-Built Agentic AI Detection & Prevention
- Semantic Knowledge Graph
- AI-Generated Malware
- Prompt Injection Defense
- Insider Threats via CLI + LLM
- Data Exfiltration
- Shadow AI Usage Outside Approved Controls
- Model Manipulation via Instruction Smuggling
- Automated AI-Driven Recon and Lateral Movement
Browser-Based Defense Extension
Browser-side extension intercepting AI-driven and traditional threats at the moment of interaction with agentic AI workloads — coding copilots and browser-resident GenAI alike. Host stays agentless. Maximum protection, zero performance impact.
- Real-Time Policy Enforcement
- GenAI Monitoring (ChatGPT, Claude, Gemini)
- Purpose-Built Agentic AI Detection & Prevention
- Phishing, AiTM, Social Engineering
- Code Injection (XSS, CSRF, SQL)
- Session / Credential Theft
- Zero-Day Exploits
- AI-Generated Malware
- Insider Threats
- Data Exfiltration
(prevention-as-code)
protection
architecture
existing stack
From the User Edge
to the Boardroom.
One platform — live traffic, network topology, the sensor fleet, and the CISO's executive view — every layer of the user edge in one console.
PREVENTION AT
MACHINE SPEED
The difference between detect-and-respond and prevent-before-execution is not a feature gap. It is a cost gap, a time gap, and an exposure gap — measured in millions.
THE ENGINE
THAT THINKS
BEFORE THE ATTACK
For detect-and-respond vendors, the alert is the business model — they profit from the chase and the cleanup. Real prevention would orphan that revenue. We didn't extend the old model. We replaced it.
Every attack the engine prevents sharpens its prediction — across every customer environment. Detect-and-respond tools can't build this: they record what happened, not what's about to.
EVERYONE ELSE WATCHES THE TRAFFIC.
WE UNDERSTAND THE INTENT.
And we neutralize the threat — before it executes.
Traditional security reconstructs an attack from the evidence it leaves behind — patterns, signatures, logs, packets. SalienceCyber.ai reads those same signals, then reads what they can't: the meaning and intent behind every interaction with AI — the purpose behind the packet, not just the packet itself. Understanding what is actually happening — not merely that something happened — gives us a clearer, more accurate picture of an attack as it forms, at machine speed. That is what lets us neutralize the threat and enforce policy before it can do harm — instead of chasing the breach after it lands.
AI ISN'T BOLTED ON.
IT'S BUILT IN.
Most "AI security" is AI bolted onto a legacy product — or an agentic framework wrapped around someone else's model. SalienceCyber.ai is different at the root: AI-native, neuromorphic, and built from the first line of code to defend the AI era.
We didn't add AI — we're made of it. No model bolted onto a legacy scanner. No agentic framework wrapped around a third-party LLM. AI is the architecture, engineered to defend the AI era — native, not retrofitted.
The CognitionAI Engine is neuromorphic — it learns the way a brain does: directly from the assets, users, and networks it's instrumented within. Not frozen after a lab run, but continuously forming a living model of what's normal in your environment — and what isn't.
Deep, current intelligence on real adversaries feeds the engine. As the threat landscape shifts, our knowledge shifts with it — so every decision grows more confident, more precise, and more effective for you, over time.
The result: defense that protects from day one — and only compounds from there. SalienceCyber.ai is effective the moment it deploys, then grows sharper, more confident, and more accurate with every attack it sees.
THE PREVENTION
EDGE OF AIDR.
Today's security stack is built on categories that earn their place: detect-and-respond platforms (SIEM, EDR, NDR, NGFW), the AI copilots now augmenting them, and guardrail products securing one slice of the AI attack surface. Each does real work — but each engages after the fact, where a human grades an alert or a model filters one prompt at a time. A new category is forming for the AI era: AI Detection & Response (AIDR). SalienceCyber.ai is its prevention edge — autonomous prevention across the browser and host, in one decision substrate, before the attack ever runs.
Built for an era when attacks moved at human speed. Pipeline ends with a human grading an alert. Cannot embrace prevention without orphaning core ARR.
An LLM layered on the existing detect-and-respond stack. Faster triage, same architecture. Adds a copilot to the model. Does not replace the model.
Two surfaces, one decision substrate. Browser-side at the agentic AI workload; host-side as prevention-as-code. Decision and action in microseconds. No human in the loop.
SCALES WITH
YOUR AI ADOPTION.
One license covers the full platform — both browser-side prevention and Core System Defense — priced to the AI attack surface it protects: per seat for the workforce, or enterprise-wide for full coverage. Final pricing is set after a short qualifying and scoping call with your security and procurement teams.
SECURITY OPS
NEEDED SOMETHING
DIFFERENT
For two decades, security operations changed little. Then AI rewrote the threat landscape — and the tools built for the era before it couldn't keep pace. We built the defense this one demands.
"AI changed the threat landscape overnight. We built the defense to match."
We founded SalienceCyber.ai at the inflection point where AI adoption began outpacing the defenses meant to secure it. We didn't iterate on what existed — we built what didn't: prevention-first, autonomous, and AI-native, at the user edge.
Our founding team has spent decades inside the problem — building AI systems, running enterprise security operations, and watching detect-and-respond fail in real time. We didn't theorize a better approach; we built it, because we knew exactly what was missing.
Every dollar spent on incident response, legal exposure, and reputational recovery is a dollar prevention would have saved. The economics are simple: stopping a breach before it starts costs far less than cleaning one up after.
LED BY THOSE WHO HAVE
BEEN ON THE
FRONT LINES
SalienceCyber.ai was founded by operators with decades of combined experience inside enterprise security operations, threat intelligence, AI systems, and cybersecurity company building. We didn't theorize a better approach. We built it because we knew exactly what was missing.
Founder, operator, and product leader with decades inside enterprise security, threat intelligence, and cybersecurity company building. Sets the prevention-first conviction that defines the platform.
Technical architect of the CognitionAI Engine and the prevention-as-code substrate. Brings a builder's discipline to the neuromorphic mathematics, decision-loop architecture, and the two-surface integration model.
Runs the operating discipline behind the platform — engineering velocity, customer programs, and the organizational scaffolding that turns conviction into shipped product. Translates strategy into delivery.
Deep-bench malware and threat-research scientist. Anchors the CognitionAI threat model with primary-source research on adversarial AI, agentic exploitation, and the AI-driven attack class.
Bridges the technical reality of the platform with the operational reality of the buyer. Leads the threat intelligence work product and the pre-sales architecture conversations qualified enterprises rely on.
SalienceCyber.ai is hiring across engineering, threat research, and customer-facing roles.
ONE PLATFORM.
CONTROL-PLANE
INTERCEPTION
PRE-EXECUTION
NEUTRALIZATION
DECISION LOOP
NO HUMAN IN THE LOOP
TELEMETRY,
NOT POST-MORTEM TICKETS
LATEST
INSIGHTS
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The latest insights from the SalienceCyber.ai team.
WHAT OUR
DESIGN PARTNERS
ARE SAYING
Early conversations with seasoned security leaders shaping how SalienceCyber.ai meets the AI era.
Your employees are using AI tools you can’t see. SalienceCyber.ai fixes that. It captures every AI interaction on the endpoint and turns it into one clean audit trail — visibility and enforcement in the same product, without an LLM sitting in the critical path or another EDR integration to maintain.
PREVENTION
BEFORE
EXECUTION
The organizations that deploy SalienceCyber.ai today are the ones that won't spend next year explaining a breach. Prevention-first, host-agentless, and operational from day one.
The AI era is here. Your defense should be too.