Exaforce develops an AI-powered security platform to address the growing threat landscape

AI-powered cyberattacks are no longer theoretical risks discussed in boardrooms or buried in technical reports. They are happening in real time and increasingly at machine speed.

For many organizations, the problem is not a lack of security tools. It could also be that security teams now have to keep up with the pace, volume, and complexity of modern attacks. Just as artificial intelligence is accelerating software development and business operations, recent research shows it can also affect cyberattacks.

That shift led Exaforce to build what it calls an AI-driven Security Operations Center, or SOC. The SOC is the function within a company responsible for monitoring, investigating, and responding to active cyber threats.

Much of today’s security work remains manual. Exaforce was built on the idea that AI’s most practical contribution to cybersecurity is to help teams do more, better. The goal is to allow small security teams to handle work that previously required much larger organizations.

When defenders fall behind attackers

Historically, companies have tried to manage growing cyber risk by hiring more people or outsourcing security to managed providers. Both approaches have limits. There is a well-documented shortage of cybersecurity talent, and even experienced professionals often lack deep expertise across cloud infrastructure, identity systems, and modern software environments.

At the same time, attackers are moving faster. AI has made phishing campaigns, impersonation attempts, and credential theft easier to execute and easier to scale. What once required coordinated human effort can now be carried out with automation and limited oversight.

This shift is no longer hypothetical. In late 2025, research demonstrated how AI agentic systems can automate reconnaissance and vulnerability analysis, reducing the amount of human effort required to carry out cyberattacks. This shift has implications for how quickly and at what scale threats can develop.

As attacks become more automated, defense must evolve as well. Security operations are increasingly defined by machine-to-machine interaction, where speed and consistency matter as much as expertise. 

One system from detection to response

Many security tools focus primarily on detection by identifying suspicious behavior and generating alerts. Alerts alone, however, do not stop breaches. Security teams still need to understand what happened, assess the scope of an incident, and respond quickly.

Exaforce is designed to support the full lifecycle of security operations, from detection through response. Instead of passing alerts to humans for manual investigation, the platform uses AI agents to analyze incidents, correlate activity across systems, and carry out response actions with human oversight.

In practice, this can include identifying a compromised user account, resetting credentials, ending suspicious sessions, or contacting an employee to confirm whether the activity was legitimate. These are tasks security teams have always performed. Exaforce automates them so they happen faster and with greater consistency.

Real threats, not theoretical ones

Exaforce focuses on active incidents rather than hypothetical vulnerabilities. The most common attacks organizations face today involve identity, including stolen passwords, phishing emails, and notification fatigue attacks that overwhelm employees until one mistaken approval grants access.

AI has made these attacks harder to detect. Phishing messages are now more contextual and often appear to come from trusted sources such as coworkers or managers. What once stood out as suspicious can now resemble routine communication.

Response time, therefore, becomes critical. The longer an attacker remains inside a system, the greater the potential impact. Platforms like Exaforce are positioned to act as an early line of defense by helping organizations investigate and respond before incidents escalate.

Scaling security without scaling headcount

One of the main benefits for Exaforce customers is time. By automating routine investigations, teams can review a broader range of security signals rather than focusing only on the most severe alerts. This added visibility allows organizations to identify early warning signs before they develop into larger issues.

Automation also allows security professionals to focus on proactive work such as strengthening defenses, hunting for threats, and improving systems, instead of reacting to alerts throughout the day.

This approach has appealed to high-growth, cloud-first companies that need strong security without building large teams. That demand helped Exaforce close a $75 million Series A funding round and reinforced the idea that the SOC itself needs to evolve.

As AI continues to influence both cyber offense and defense, companies like Exaforce are focused on a future where security depends less on the number of alerts generated and more on timely, informed response.