Evaluate the Cybersecurity Company Living Security on AI Safety Tools

I got asked last month to evaluate the cybersecurity company Living Security on AI safety tools for a client who was drowning in vendor pitches, and honestly, I went in expecting another gamified-training company slapping “AI” onto a slide deck. That’s not quite what I found. If you’re trying to evaluate the cybersecurity company Living Security on AI safety tools yourself right now, you’re probably staring down the same messy mix of press releases and vague feature lists I was.

Living Security has been around since 2017. Austin, Texas, founded by a husband-and-wife team, Ashley Rose and Drew Rose, and they started with something almost quaint by today’s standards: a Cyber Escape Room. A literal room. Employees solved puzzles to learn phishing red flags. It worked well enough to build a company on top of it. Fast forward to 2026, and the same company now runs an AI risk intelligence engine that watches both human employees and AI agents inside enterprise networks. That’s a big jump, and it’s exactly why so many security buyers want to evaluate the cybersecurity company Living Security on AI safety tools before committing budget to it.

What Living Security Actually Does Before We Talk AI

At its core, Living Security sells Human Risk Management, or HRM. The pitch is simple: most breaches don’t start with some genius hacker breaching a firewall. They start with a person clicking something they shouldn’t, reusing a password, or ignoring a policy nudge. Traditional security awareness training (SAT) tried to fix this with annual videos and quizzes nobody remembers a week later.

Before you can properly evaluate the cybersecurity company Living Security on AI safety tools, you need to understand this human-risk foundation, since the AI layer is built directly on top of it. Living Security built its reputation arguing that SAT alone is close to useless for actually reducing risk, and there’s data behind that claim now. Research from the Cyentia Institute found that just 10% of employees drive 73% of an organization’s total risk exposure. Read that twice. It means blanket training aimed at everyone equally is, mathematically, a waste of budget for 90% of the workforce.

If your organization is still running a once-a-year training checkbox, it might be worth comparing that approach against what’s covered in a broader cybersecurity awareness training breakdown before deciding whether behavioral platforms like this one are overkill or exactly what’s missing. Skipping that context makes it easy to evaluate the cybersecurity company Living Security on AI safety tools unfairly, either too harshly or too generously.

Where “AI Safety Tools” Fits Into Their Pitch

To evaluate the cybersecurity company Living Security on AI safety tools fairly, you have to separate marketing language from what the product actually monitors. Here’s the part that made me actually want to dig in rather than dismiss it as a training vendor with a new coat of paint. In 2026, Living Security stopped positioning itself purely around human behavior and started talking about “workforce security” that includes AI agents. This is really the heart of why anyone would evaluate the cybersecurity company Living Security on AI safety tools in the first place.

Think about what’s happened inside most companies over the past two years. Employees now hand off tasks to AI copilots, chatbots draft outgoing emails, and automated agents have login credentials just like a person would. That’s a real attack surface nobody had five years ago. An AI agent with delegated access to a CRM or an inbox can leak data or take a wrong action just as easily as a careless employee, arguably faster, since it doesn’t second-guess itself the way a nervous new hire might.

Living Security’s answer to that shift is what they call AI Agent Risk Management, baked into their newer platform. It maps relationships between humans and the AI agents acting on their behalf, and it tries to measure something they call “blast radius,” basically, how much damage a given AI agent could cause if it went sideways. That’s a genuinely different category from “does this employee know what phishing looks like.” Whether it counts as an AI safety tool in the way researchers at places like NIST use the term is debatable, and worth checking against the government’s own AI Risk Management Framework, which focuses more on model trustworthiness than workforce behavior.

Living Security sits closer to the operational side of AI risk than the technical alignment side. Different problem, same buzzword. Still, that distinction matters a lot if you’re trying to evaluate the cybersecurity company Living Security on AI safety tools against a strict AI-safety-research definition versus a workforce-risk one.

Livvy, the AI Engine Running the Show

Livvy is really the centerpiece you’re judging when you evaluate the cybersecurity company Living Security on AI safety tools, since almost every claim the company makes routes back to this engine. It’s described as analyzing more than 300 behavioral, identity, and threat signals across an organization, correlating them, and surfacing which employees or agents need attention right now instead of buried in a quarterly report nobody reads.

A few things Livvy is supposed to do, based on what Living Security has published:

• Score risk across both humans and AI agents in one unified view
• Recommend specific interventions (targeted coaching, MFA re-enrollment, policy reminders) instead of generic alerts
• Learn an organization’s own policies and context over time, so recommendations aren’t one-size-fits-all
• Generate customized training content automatically, tuned to a company’s tone and priorities
• Explain its reasoning with confidence scoring rather than a black-box score

That explainability piece matters more than it sounds. Security teams have been burned before by tools that spit out a risk number with zero justification. If a CISO can’t explain to the board why an employee got flagged, the tool becomes noise fast. It’s one more reason boards want someone to evaluate the cybersecurity company Living Security on AI safety tools before signing off on budget. None of that Livvy detail matters much unless you actually weigh it against how your own security team currently works.

The Numbers Behind the Marketing

Before you evaluate the cybersecurity company Living Security on AI safety tools based on vibes alone, here’s what actually checks out from independent or third-party sources, not just the press releases.

Detail	What I Found
Founded	2017 in Austin, Texas, by Ashley Rose and Drew Rose
Category	Human Risk Management (HRM), now expanding into AI-native workforce security
AI engine	Livvy, monitors 300+ behavioral, identity, and threat signals
Industry recognition	Named a Leader in The Forrester Wave: Human Risk Management Solutions, Q3 2024
Funding	Roughly $20M-$26M raised across Series A, B, and follow-on rounds
Notable customers	Unilever, Mastercard, Merck, Abbott
Platform milestone	General availability of the AI-native Living Security Platform announced March 24, 2026

These numbers are exactly what I’d want in hand before anyone tries to evaluate the cybersecurity company Living Security on AI safety tools for a real enterprise deal. That Forrester recognition isn’t nothing, either. Forrester doesn’t hand out “Leader” status for a good demo; it’s based on evaluating actual product depth, strategy, and market presence against direct competitors. Combined with a client list that includes companies the size of Mastercard, it’s fair to say Living Security isn’t a scrappy startup selling vaporware. Numbers like that are why serious buyers still choose to dig in rather than write the whole thing off as marketing noise.

What I Liked After Digging Through the Platform

A few things stood out as genuinely useful once I actually sat down to evaluate the cybersecurity company Living Security on AI safety tools instead of skimming the homepage.

First, the shift from reactive alerts to recommended action feels like it addresses a real pain point. Security teams complain constantly about alert fatigue, and a system that says “here’s who’s at risk, here’s why, here’s what to do about it” is a meaningfully different workflow than a dashboard full of red numbers nobody has time to interpret.

Second, unifying human and AI-agent risk under one lens is smart timing. Most competitors are either pure SAT companies still selling annual quizzes, or pure AI-governance tools that only look at models and pipelines, ignoring the human side entirely. Living Security is trying to sit in the middle, and given how blurry the line between human and AI action has become inside a typical company, that middle ground might be exactly where value gets created.

Third, they’re not hiding behind vague claims. Early adopters reported satisfaction scores above 90 percent during the beta, and while I’d always want that verified independently rather than by the company itself, it’s a specific, checkable number instead of “customers love us.” That specific detail is exactly the kind of thing worth checking when you evaluate the cybersecurity company Living Security on AI safety tools yourself. Those strengths are why I’d tell anyone to go in with an open mind rather than a cynical one.

Where Living Security Falls Short

Now the less flattering part, because a fair attempt to evaluate the cybersecurity company Living Security on AI safety tools needs one.

The AI-native platform is young. General availability only launched in March 2026, which means the track record for the AI-agent-monitoring piece specifically is thin. Most of the trust Living Security has earned (the Forrester Wave placement, the enterprise client roster) was built on the older human-behavior product, not the newer AI-agent layer. Buying in now means being an early adopter of that half of the platform, whether you frame it that way or not.

Pricing also isn’t public anywhere I could find, which is standard for enterprise security tools but still annoying if you’re trying to build a quick shortlist. You’ll be talking to sales before you get real numbers, and enterprise HRM platforms in this category have historically run into six figures annually for mid-size deployments, though that’s a general industry pattern, not a Living Security-specific quote.

And I’d push back a little on calling this “AI safety” in the strict sense researchers use the term. This is the part that matters most if you evaluate the cybersecurity company Living Security on AI safety tools with a strict AI-alignment definition in mind. It’s workforce and identity risk management that now includes AI agents as a category of identity. That’s valuable. It’s not the same as red-teaming a model for jailbreaks or auditing training data for bias. Anyone buying this expecting deep technical AI-alignment coverage will be disappointed once they look closely. Keep that gap in mind every time you compare it against a vendor promising full AI governance.

How It Compares to the Broader Field

If you’re trying to evaluate the cybersecurity company Living Security on AI safety tools against alternatives, it helps to know where it sits in the wider market rather than in isolation.

1. Pure SAT vendors (older-school security awareness training platforms) still dominate compliance-driven purchases, but most haven’t built genuine AI-agent monitoring yet.
2. AI governance and model-risk platforms focus on the technical side, bias testing, model drift, adversarial robustness, and mostly ignore human behavior entirely.
3. Identity and access management (IAM) vendors increasingly claim “AI agent identity” coverage too, though usually from a permissions angle rather than a behavioral-risk angle.
4. Living Security is trying to be the bridge, human behavior plus AI-agent behavior, under one risk score.

None of these categories fully replace the others yet. Running through that list is basically how I’d recommend anyone evaluate the cybersecurity company Living Security on AI safety tools against the rest of the field. If your organization is deep into building or fine-tuning models, you probably need a governance tool alongside this, not instead of it.

If your risk mostly comes from employees clicking bad links and copilots having too much access, Living Security’s lane looks like a strong match. Anyone doing a wider vendor sweep should also run a proper cybersecurity risk assessment first, because the right tool depends entirely on where your actual exposure sits.

Pricing, Rollout, and What Onboarding Looks Like

Pricing is one more factor to weigh when you evaluate the cybersecurity company Living Security on AI safety tools against competitors with published tiers. I couldn’t pull exact figures (private company, no published pricing page with numbers), but based on how the sales process is structured, expect a few things. Living Security sells through a demo-first, quote-based model.

Enterprise seat counts, integration complexity with your existing identity and SIEM stack, and which modules you want (training generation, agentic remediation, reporting) will all move the price.

Rollout for the AI-agent side is newer, so ask pointed questions during any sales call: how many AI agents has this actually been tested against in production, not beta? What integrations exist today versus “on the roadmap”? Vendors in a hot category love roadmap slides. Get specifics on what ships now, since that’s the fastest way to evaluate the cybersecurity company Living Security on AI safety tools honestly instead of relying on a polished demo.

If your company already runs some form of cybersecurity software stack for SIEM or endpoint protection, ask directly how Livvy pulls signal from those tools, because a risk engine that can’t see your existing telemetry is only getting half the picture. Getting real numbers, not just a sales pitch, is the whole point of doing this homework before renewal season hits.

Who Should Actually Consider This Tool

If you’re wondering whether your organization is even the right fit before you look any further, here’s my honest read. Mid-size to large enterprises with a mature-ish security program already, who are now grappling with AI agents inside their workflows and don’t have a clean way to monitor that risk, are the strongest match. If you’re a five-person startup, this is overkill and the budget won’t make sense yet.

It’s also a strong fit for CISOs under pressure to show measurable risk reduction to a board, not just “we did training.” CISOs under that kind of board pressure are exactly the audience that benefits most from taking the time to evaluate the cybersecurity company Living Security on AI safety tools properly.

The reporting layer, built around board-ready narratives instead of raw completion percentages, seems built specifically for that conversation. Teams evaluating vendors for a broader security overhaul might also want to loop this into a wider review of cybersecurity services rather than treating it as a standalone purchase. Smaller teams without that pressure may not need to bother with this particular category at all this year.

My Take After Reviewing the AI-Native Platform

I’ll be straight about what it took to evaluate the cybersecurity company Living Security on AI safety tools properly instead of taking the press kit at face value. Going in, I figured “Human Risk Management plus AI” was going to be a rebrand with nothing new underneath. It wasn’t, entirely. The idea of treating AI agents as identities with their own risk profile, sitting next to human employees in the same dashboard, is a genuinely sensible response to how companies actually operate right now. Nobody drew a clean line between “AI decision” and “human decision” anymore, and pretending otherwise in a security tool would be worse than useless.

That said, I wouldn’t call this a mature product yet. It’s a smart bet on where risk is heading, built by a team with a real track record (that Forrester Leader placement isn’t decoration), but the AI-agent-specific piece needs another year or two of production mileage before I’d call it proven at scale.

If a company asked me point-blank whether to evaluate the cybersecurity company Living Security on AI safety tools as their primary investment for 2026, I’d say yes, evaluate it seriously, run a pilot, ask for references from customers using the AI-agent module specifically, not just the legacy training side. That’s really the bottom line every time someone asks me for a straight answer on this. Don’t sign a multi-year contract based on the press release alone.

FAQs

Is Living Security an AI safety company or a training company?
It started purely as a security awareness training company and has expanded into AI-native Human Risk Management, which now includes monitoring AI agents alongside human employees. That distinction is the first thing to sort out when you evaluate the cybersecurity company Living Security on AI safety tools.

What is Livvy and how does it relate to AI safety tools?
Livvy is Living Security’s AI risk intelligence engine, analyzing 300+ signals to score risk and recommend interventions for both humans and AI agents. That engine is the single biggest reason people compare this platform against older SAT tools in 2026.

Does Living Security handle AI agent risk, not just human risk?
Yes, its newer platform includes AI Agent Risk Management, which maps AI agent access and estimates potential impact if an agent misbehaves or gets compromised. This module is central to how most buyers evaluate the cybersecurity company Living Security on AI safety tools today.

How much does Living Security cost?
Pricing isn’t publicly listed; it’s quote-based and depends on seat count, modules selected, and integration needs, typical of enterprise security platforms. Getting a real quote is part of how you judge this financially, not just functionally.

Who competes with Living Security in the AI safety and HRM space?
Competitors span traditional SAT vendors, dedicated AI governance platforms, and identity management tools, though few combine human and AI-agent risk in one score the way Living Security does. Comparing those options carefully is part of any serious attempt to evaluate the cybersecurity company Living Security on AI safety tools.

Final Thoughts

Living Security isn’t perfect, and calling it a full “AI safety” solution stretches the term a bit past what researchers usually mean by it. But as a practical tool for companies trying to get a handle on both employee risk and the growing pile of AI agents wandering around their systems with real credentials, it’s one of the more thoughtful attempts I’ve come across this year.

What sticks with me most is the timing. A lot of vendors are bolting “AI” onto an old product just to stay relevant in sales calls. Living Security seems to have actually looked at how work has changed, employees delegating tasks to copilots, agents holding real credentials, and built something that reflects that shift instead of ignoring it. That doesn’t make it flawless. The AI-agent piece is still new, the pricing is opaque until you’re deep in a sales conversation, and the “AI safety” label does more marketing work than technical work. Those are real gaps, not nitpicks.

But none of that cancels out what’s genuinely solid here: an established company, real Forrester recognition, enterprise clients that don’t sign with vaporware, and a risk engine built on years of behavioral data rather than guesswork. That combination is rare enough in this space to take seriously.

If you’re still deciding whether to move forward with it for your own organization, treat this as a starting point, not a final verdict. Talk to current customers using the AI-agent module specifically, not just the legacy training side. Ask for a pilot period instead of a full commitment upfront. Get clear, itemized pricing before any renewal deadline forces your hand. Either way, take the time to evaluate the cybersecurity company Living Security on AI safety tools with a real trial run before committing budget, because press releases won’t tell you what a live deployment will. A few weeks of hands-on testing will tell you more than any spec sheet, including this one.