We know what it feels like to get breached.
Not in theory. Not in a tabletop exercise. Not in the safe, sanitized way companies talk about cyber risk after everyone has had time to rewrite what happened.
We know what it feels like when the thing you needed to be protected wasn't.
Years ago, at a well-known cybersecurity company, we lived through that horrific and incredibly ironic realization. We were doing everything right—our people, processes, and technology were top-notch—and still, attackers found a way in. And they did some serious damage.
The details matter less than the lesson. Even when you build the walls, lock the doors, check the boxes, and hire the experts, risk still finds the one place every system eventually depends on - a human.
That’s the uncomfortable truth at the center of cybersecurity. Not because people are careless or dumb. But because they are human. They’re regular people with fractured focus, trying to get work done. Answering emails between meetings. Approving vendors before lunch. Shipping code before a deadline. Responding to messages that look just real enough to deserve attention.
Meanwhile, attackers have a singular focus. The imbalance of intent is the story.
On one side, a person just trying to do their job. On the other, an attacker trying to use ordinary decisions as the way in. Now, with AI, that attacker can move faster, sound more convincing, scale more easily, and personalize the trap with a precision that used to require time, talent, and a disturbing level of determination.
The user is distracted. The attacker is not. That is not a fair fight.
At least 74% of breaches involve the human element. Most CISOs will tell you that it feels higher. They know risk is no longer contained neatly inside a network, device, or application. Work moves with the person now. And thus, so does exposure.
For decades, the industry has deployed security at concentric layers. Around the network, device, Cloud, browser, identity. A lot of it works. A lot of it matters. But the old stack was never built to protect the human decision: the click, the login, the download, the paste, the approval, the small moment where nothing looks like an incident, but one is beginning to form.
This next layer is the human edge.
The frontier where everyday behavior meets risk. Where judgment becomes exposure. Where the human decision point has become the only remaining perimeter, yet still remains the least protected surface in the enterprise.
This protection gap was already a problem before AI. Now AI makes the message feel more real, the timing feel more plausible, and the sender seem more legitimate. The trap is faster, smarter, and personalized to feel believable.
Most tools we rely on were built for a different era. Useful, yes. Necessary, often. But not designed for threats created in the age of intelligence. If attackers can use AI to scale deception, we can use AI to scale protection.
Until now, the mitigation to the human problem has mostly been training. Training matters. Awareness matters. But the illusion that we can train every employee to behave like a cybersecurity expert in every moment has become one of the industry’s most expensive acts of optimism.
Because the moment that matters is not the training moment. It is three weeks later and somehow the user has already forgotten their training. They’re busy. The message looks normal. The request feels urgent. The link seems fine. The person is trying to move the business forward. That is exactly when they need help. Not after the alert rolls uphill into a queue. Not after the incident becomes a meeting with seven tense people. They need help in the moment they do not even realize they need help. Before those dreadful questions slowly trickle in.
So we started asking different questions: what if we stopped trying to turn every person into an expert yet somehow gave every person expertise?
What if a user had something right there with them that understood their work, context, behavior, and moment of risk, and could help before a normal decision became a company problem?
What if we started from a clean slate?
How could we move security forward, to where most risk actually begins?
That’s why we built Sidekick, a forward-deployed cybersecurity program for the human edge.
It puts a team of guardian agents beside every user, helping protect against social engineering, identity threats, data leaks, unsafe behavior, and the weird little moments that do not look dangerous until they very much are.
We designed Sidekick native with AI from the start because the age of intelligence needs protection built for intelligence. If attackers can use AI to scale deception, personalize pressure, and move at machine speed, then we, the defenders, can use AI as a force for good. We can give every user judgment in the moment, context at the edge, and protection that moves as fast as the threat.
Our world is moving fast. And with it our surfaces are expanding. Intelligence itself is now distributed, moving through humans and machines in ways no perimeter was ever designed to contain.
That's the world we're building for. Not just protecting people from threats, but protecting every form of intelligence, human and artificial, that powers the way we live and work. The developer shipping code at midnight. The finance team approving a wire. The AI agent making decisions on behalf of both.
It’s simple, really. We made what we wished existed.
Come join forces with us. Sidekick is not just another tool to manage. It is the future of cybersecurity. We see the problem, and we are closing the gap by relieving pressure from a model that has been asking too much of too few people for far too long. We believe security must move closer to the person, closer to the decision, closer to the moment where risk can still be changed. Out to the human edge.
We believe the next era of cybersecurity will not be won by blaming humans as your weakest link and greatest liability. It will be won by protecting them and empowering them to be your strongest line of defense and greatest asset.