When Every Second Counts Against AI Attacks
Fighting fire with fire is an old tactic. Fighting AI attacks with AI defense is a growing practice. But instant, autonomous remediation? That’s new — and very welcome.
Sevii has extended its Autonomous Defense & Remediation (ADR) platform with a new AI security module designed for the speed of modern threats. As AI-driven attacks grow faster and more widespread, a human response simply can’t keep up. Companies often don’t even know all the shadow AI running inside their own networks. That means defense has to operate at runtime, regardless of source, with immediate and autonomous action.
That’s exactly what this new module delivers. It taps into alerts from the customer’s entire security detection stack, ingests them in real-time, and analyzes them. Traditional tools detect attacks but then just report them to the SOC, leaving humans to decide what happens next. Sevii’s new module intercepts that reporting step and responds instantly with its own machine-speed AI.
Meet the ‘Cyber Warriors’: AI Agents on a Seven-Day Hunt
At the heart of the system are AI agents — Sevii calls them ‘cyber warriors.’ These agents run a seven-day retrospective context hunt to determine whether a detected action is normal or abnormal. This helps confirm whether an alert is a genuine AI attack or a false positive.
If the attack is real, the cyber warriors look for signs of the same attack happening elsewhere in the customer’s infrastructure. That identifies whether the incident is broader than the initial detection and helps decide if immediate remediation is needed.
“When we get the AIDR detection, we start the action to determine whether it is good or bad from policy, or is it acting in the fairest way,” explained Sevii’s CEO and co-founder, Curt Aubley. “We immediately collect all the data we need. We call it a hunt. We grab all that data and analyze it to be able reverse engineer the attack and take any necessary action.”
The Human-in-the-Loop Myth
If remediation is necessary, it can be autonomous or triggered by a human defender. But let’s be honest: the ‘human in the loop’ option is largely a marketing comforter. Companies like having that option, even if it’s counterproductive in practice.
Think about it. Any defense against an AI attack must react with the same machine speed as the attack itself. Requiring a human in the loop defeats that purpose entirely.
“Having a human in the loop may be required by today’s governance policy. But consider the damage and speed at which OpenAI rogue agents attacked Hugging Face,” commented Aubley. “Seventeen seven-minute actions. It’s mathematically impossible for a human to keep up with that.”
The speed of remediation is essential to any defense against an AI-driven attack. Waiting for a human to review alerts, decide on a course of action, and execute it gives the attacker a massive head start.
Instant Intelligence: Stopping Data Exfiltration in Its Tracks
Sevii’s remediation can be immediate. While gathering context for its next steps, the system might detect a high volume of data leaving the customer’s network. It performs an instant intelligence search. Is this a standard occurrence? Where is the data going? Is it heading to a known command and control (C2) server, or infrastructure known to be malicious?
That knowledge could have come from a threat intelligence feed updated just 15 minutes ago. Sevii already knows about it. If the customer is sending data to a dangerous location, the system acts.
“We will absolutely immediately stop that activity and autonomously do an impact analysis as well to see what data left and how quickly we stopped it,” said Aubley.
Autonomous Remediation in Action: A Compromised Laptop
A simple example of Sevii’s standard remediation process shows how this works in practice. Picture an employee using a laptop with the same identity and password to access different systems like SAP, Salesforce, or ServiceNow.
“Whatever the applications are, we may get a detection that the laptop has been compromised, and the user’s identity is starting to do weird activity – it may be logging in to systems it’s never logged into before. So, we’ll do our hunt and validation to confirm the detection is a true positive,” explained Aubley.
The next step is isolation. “We will isolate the laptop and disable the account, remove those sessions from that account, and force the person to reset their password. So, first the identity portion is stopped, so the adversary can no longer log into these other systems. That stops the spread. We securely connect to the laptop and remove the bad processes and registries and things of that nature,” he continued.
“Once done, we remove the isolation. We do a final validation, and we watch that system to make sure that it is not acting strangely anymore. If satisfied, we release it back to the customer.”
This complete AI-driven autonomous process typically takes between two and fifteen minutes. Downtime is minimal. Since an AI attack typically takes between 30 seconds and 30 minutes — with an average of the same 15 minutes it takes Sevii to remediate — this new module can genuinely be described as a successful attempt at fighting fire with fire.
Sevii’s expansion comes amid a broader push toward agentic AI security and predictable costs for AI-driven defense. The company also recently launched its Cyber Swarm Defense offering to make agentic AI security costs more predictable.
For security teams still relying on manual response, the math is simple: if the attack moves at machine speed, the defense must too. Sevii’s autonomous AI defense is betting that humans can’t — and shouldn’t — be in the loop when every second counts.