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Agentic Runtime Security is runtime detection and response across cloud, SaaS, identity, AI, and third-party services — the infrastructure endpoint tools can't see. It anticipates, detects, interrupts, and stops active attacks before they reach the business. EDR protects the endpoint; Mitiga’s Agentic Runtime Security protects everything else.
What is Agentic Runtime Security?
For twenty years, the endpoint was the center of gravity for security operations. EDR carried the load. That's where most detections were built, where most alerts came from, and where most SOC analysts learned their craft. It worked because, for a long time, the endpoint was where the business lived and where attacks landed.
That world is gone. The primary asset is no longer the server on a device you can image. It's services, cloud, SaaS, identity providers, AI, and a sprawl of third-party connections. The hard part used to be the endpoint. Now the hard part is everything else.
Just last week, Mitiga announced Agentic Runtime Security for the Modern Infrastructure – a new approach to runtime detection and response across cloud, SaaS, identity, and AI that anticipates, detects, interrupts, and stops active attacks before they reach the business. The way I describe it to the CISOs I talk to is simple: EDR protects your endpoints and workloads. Mitiga protects everything else.
How Agentic Runtime Security differs from EDR, at-a-glance
The attacker already moved. Most defenses haven't.
Look at how fast the ground has shifted. In 2022, the median time between an attacker gaining initial access and handing it off to a second group was more than eight hours. In 2025 it was 22 seconds (Mandiant 2026). The average eCrime breakout time is now down to 29 minutes, with the fastest observed at 27 seconds (CrowdStrike 2026). That's the window your team has to detect and respond before an attacker is moving laterally across your environment.
Now hold that against how long defense really takes. Median dwell time has risen for two straight years to 14 days (Mandiant 2026), and the average breach still takes 241 days to identify and contain (IBM 2025). Attacks measured in seconds. Defenses measured in months. That gap is the whole problem, and it's not one you close by watching the endpoint harder.
Why “runtime” has to mean something different now
When most people hear “runtime security,” they picture an agent inside a workload. But the modern attack surface lives outside the workload. There's no operating system to instrument, and no device to fall back to for a disk image or memory dump. In a cloud and services world, you are one hundred percent dependent on the logs – and not just the security logs, but everything the platforms emit.
That's not a limitation we worked around. It's the whole architecture. A forensic-grade data layer is a structural necessity for us, not a feature, because the logs are the only ground truth you get. It's the conviction that's driven Mitiga from day one: data is the foundation. Our Cloud Security Data Lake holds the long-horizon context, spanning cloud, SaaS, identity, AI, and third-party services, that lets us reconstruct an attack and stop it while it's still happening.
Four forces reshaping what the SOC has to defend
I've written before about the complexity explosion facing modern SecOps teams, and Agentic Runtime Security is our answer to where it's heading. Four forces are converging at once:
AI is finding vulnerabilities faster than anyone can patch them.
Exploitation now routinely begins before a fix even ships. When you can't close the window in time, you need a compensating control that detects and disrupts whatever comes through it.
SaaS and shadow SaaS are everywhere.
75% of organizations had a SaaS security incident in the past year – a 33% jump over the prior year (AppOmni 2025). The average enterprise runs hundreds of applications, sanctioned, unsanctioned, and entirely unknown. Posture tools weren't built to surface active SaaS misuse, and you can't defend what you can't see.
Non-human identities are exploding.
Chatbots, copilots, and autonomous agents now act with their own credentials and permissions. The fastest-growing identity on your network isn't a person anymore, and attackers know it. In fact, 82% of detections last year were malware-free, with adversaries using valid credentials, trusted identity flows, and approved SaaS integrations to move (CrowdStrike 2026). As I always say, they're not fighting through your defenses. They're just logging in.
Attacks move at machine speed.
A modern attack crosses cloud, SaaS, identity, AI, and third-party services in minutes. Defending against that means anticipating, detecting, interrupting, and stopping it across the whole modern infrastructure, in runtime.
Visibility on paper is not defense in runtime
In AppOmni's 2025 research, 89% of the organizations that suffered a SaaS breach believed they had "appropriate visibility" into their environment when the attacker struck. Most ran genuinely strong programs, including posture management, prevention controls, compliance dashboards, and a SIEM full of logs. None of that gave them the cross-correlated, normalized, panoramic awareness across cloud, SaaS, identity, and AI, or the behavioral detection that catches compromised credentials, lateral movement, and data exfiltration as they happen.
A posture tool tells you a door is unlocked. A SIEM records that someone opened it. Neither one stands in the room when the attacker walks through. You still need strong prevention, and keeping raw logs in a SIEM earns its keep despite the cost – but neither one is a panoramic, investigation-ready data layer running runtime defense across your modern infrastructure. Posture and runtime are complementary – here's the case for running detection and response alongside your CNAPP. Attackers operate in the gap between the two.
Seeing what endpoint tools can't
We anchored this launch on three proof points because I'd rather show you than tell you.
First, SaaS discovery from the cloud, not the endpoint. In recent customer deployments, Mitiga surfaced more unauthorized SaaS applications than the agent-based endpoint tools already running in those environments. Shadow SaaS is identity-driven and cloud-native; it never generates a tell-tale signal on the device.
Second, AI-era shadow SaaS is a genuinely new threat class. Unsanctioned SaaS used to mean someone quietly sharing a file. Now consider a meeting-transcription tool like Otter.ai. It's not file-sharing – it's a conversation recorder that joins your meetings, transcribes them, and keeps the contents. One person adopting it creates exposure for every participant in every meeting it touches, jumping the blast radius from a single user to entire rooms of people who never installed anything.
Third, real-time coverage for embedded AI agents and chatbots. These non-human identities act inside cloud and SaaS with broad access and little oversight. Mitiga extends behavioral, indicator-of-attack (IOA) based detection to them – watching the calls they make, the data they reach, and the actions they take, and flagging compromise or abuse as it happens.
Mitiga sees what endpoint tools can't, and what they're missing is the most dangerous category in the enterprise right now.
AI-native by design, not bolted on
AI changes everything, for attackers and defenders both, and you have to master both sides. The threat is already here: attacks by AI-enabled adversaries jumped 89% year over year, and more than 90 organizations had legitimate AI tools exploited to steal sensitive data (CrowdStrike 2026). Meanwhile 97% of organizations that suffered an AI-related breach lacked proper AI access controls, and high shadow-AI use added $670K to the average breach (IBM 2025). The AI attack surface is real, it's growing, and almost nobody is watching it.
Agentic Runtime Security isn't AI sprinkled on a legacy stack. Every part of the platform runs on the same AI-native foundation, organized around three pillars of Helios AIDR we've been building toward: Defend with AI to augment and accelerate your SOC, Defend from AI to counter AI-centric and AI-scaled attacks, and Defend the AI to protect your AI infrastructure, apps, and the identities that operate them. And foundational to all three of these pillars is the fact that Mitiga is Built with AI, so we can create, test, and improve detections and runtime capabilities at the speed and scale of AI.
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The prevention era has changed
I'll leave you with this. Attackers may get in. Impact doesn't have to. A modern attack doesn't stay in one place. And the costliest breaches are the ones that span environments, averaging $5.05M and taking 276 days to contain when they cross cloud systems (IBM 2025). Siloed tools can't follow an attacker across that terrain. One correlated system can. Posture tools tell you where the windows are. Agentic Runtime Security is what's standing there when someone tries to climb through one – anticipating the attack, catching it in motion, and stopping it before it impacts the business.
That's Zero-Impact Breach Prevention, in runtime. And to the attackers eyeing everything beyond the endpoint: Let them come.
Frequently asked questions
What is Agentic Runtime Security in one sentence?
It is runtime detection and response across cloud, SaaS, identity, AI, and third-party services that anticipates, detects, interrupts, and stops active attacks before they reach the business.
How is Agentic Runtime Security different from EDR?
Endpoint Detection and Response, or EDR, protects the endpoint, while Agentic Runtime Security protects everything else. EDR relies on an agent inside the operating system. Agentic Runtime Security is log-based. It detects on the audit trail each cloud, SaaS, identity, and AI platform emits, where there is no workload to instrument.
Does Agentic Runtime Security cover AI agents and non-human identities?
Yes. Chatbots, copilots, autonomous agents, OAuth apps, and API tokens act with their own credentials and permissions. Agentic Runtime Security extends indicator-of-attack behavioral detection to these non-human identities, flagging compromise or abuse in real time.
What are the three pillars of AI Detection and Response (AIDR)?
Defend with AI (augment and accelerate the SOC), Defend from AI (counter AI-centric and AI-scaled attacks), and Defend your AI (protect AI infrastructure, apps, and the identities that operate them) — all on one AI-native foundation, built with AI.
Why does Agentic Runtime Security depend on logs?
In a cloud and services world there is no endpoint to fall back to. There is no disk image and no memory dump. Defense is fully dependent on what the platforms emit, which is why a forensic-grade, long-horizon data lake is a structural necessity rather than a feature.
Who is Agentic Runtime Security for?
SOC and IR teams moving from a legacy SIEM-and-SOC model to an agentic, AI-native operating model, and the CISOs and cloud security architects defending cloud, SaaS, identity, AI, and third-party services where endpoint tools go blind.
EDR protects your endpoints. See what protects everything else.
Across cloud, SaaS, identity, third-party services, and AI — stopping attacks before they reach the business.
