Levo.ai

Poor detection doesn’t just expose enterprises to breaches. It quietly derails growth goals. Every false positive wastes analyst time. Every real threat missed invites breach risk. But that’s not the full cost. Engineering teams get pulled into emergency patch cycles. Product timelines slip. Compliance teams scramble to produce retroactive audit trails. The entire enterprise starts reacting instead of building. These inefficiencies compound. They don’t show up as a single line item, but they drag down release velocity, customer trust, and revenue resilience. Good detection changes that trajectory. By catching real exploits early, eliminating noise, and integrating with dev and compliance workflows, detection becomes an engine of operational efficiency and market agility. Enterprises don’t just avoid the $10M breach. They ship faster, retain lean teams, enter new markets with confidence, and meet compliance without disruption. Go through the attached creative to understand how Levo’s API Detection module supports enterprise growth besides the obvious breach prevention. #apis #applicationsecurity #apisecurity #detectionandresponse

Only 53% of WAFs ever run in full blocking mode. The rest sit in passive logging, not because teams forgot to enforce, but because they’re afraid to. They disable it because the system they’re supposed to trust offers no confidence in return. When a WAF can’t see half your APIs, makes opaque decisions, and breaks things without warning, the only rational move is to put it in monitor mode. What we built with Levo is a shift in architecture, not just features. Protection is grounded in real-time execution, not surface traffic. It observes every API call as it happens, with full identity and behavior context. It enforces inline, without latency, and with full explainability, so engineering doesn’t push back. The result isn’t just “more precise blocking.” But blocking that you can turn on and leave on, without guesswork, regressions, or escalations. Swipe through the carousel to understand how. #waf #apiwaf #response #apis #blocking

Most developers, including myself before I became an Engineering Director, are attuned towards building for the happy path, not defending against threats. We think in terms of functionality, speed, and reliability. And in a world where software teams are releasing features weekly, sometimes daily, that’s understandable. Which is why API Security often becomes an afterthought. Authentication is assumed to work. Frameworks are assumed to validate. APIs are assumed to be protected by gateways or WAFs. But assumptions collapse under complexity. Distributed teams, fragmented stacks, and opaque gateways create hidden paths attackers love. And traditional AppSec tools can’t even understand modern applications let alone simulate exploits and defend against them. That’s exactly why we built Levo.ai. We give engineering and security teams a shared, continuous layer of protection across the entire API lifecycle. Levo discovers every API, infers the authentication scheme, and flags broken or inconsistent access control, especially on endpoints handling sensitive data. If something is exploitable, we’ll surface it with full reproduction steps, before it hits production. And in production, we’ll detect and block threats in real time, without flooding your team with noise or degrading user experience. Go through the below clip where me and Ravi Madabhushi discuss the same in detail. #apis #apisecurity #developers #security

Just back from Amazon Web Services (AWS) re:Invent. Ears still buzzing. Energy is still there. 65,000 people. I don't think I've ever seen anything quite like it. The message this year was clear: the next era is agents, not just models. #AWS is going all-in—from custom silicon to governance tooling. A few things that caught my attention: * Graviton5 with 192 cores. Trainium3 delivers 4.4x performance over the previous gen with 40% less power. Over a million Trainium chips deployed. They're serious about owning the AI compute stack. * Bedrock AgentCore got some interesting upgrades—policy engines for runtime controls, episodic memory so agents can recognize patterns across interactions. * Nova Act is purpose-built for agent development. And Nova Forge lets you build custom frontier models by combining your enterprise data with AWS's open weight models. Reddit already built one. * AWS Security Agent and AI Factories * Lambda Durable Functions was a nice surprise—coordinate multi-step workflows for up to a year without paying for idle compute. The AWS Village is still “kid in a candy store” territory if you care about infra. chips, racks, networking, observability, partners, agents, data… you’re constantly choosing between three equally interesting conversations at any given time. So much to learn, not nearly enough hours. Oh, and Werner Vogels gave his final re:Invent keynote after 14 years. End of an era. But honestly? The best part wasn't the announcements. It was the people. Ran into folks from every chapter of my life—college friends, former AppDynamics colleagues, The D. E. Shaw Group folks, and even some Levo.ai customers and partners. All in one place. Vegas became the world's most random reunion. Had some genuinely insightful conversations with builders, security practitioners, and infrastructure engineers who are solving hard problems. The kind of conversations that make you think differently. On the Levo.ai side, this trip was incredibly validating. Conversations with leaders at F150 companies reinforced the PMF we have been building toward and the problems we are actually solving in production. Some of the biggest cybersecurity platforms openly acknowledged gaps we are already filling and want to partner with us instead of trying to bolt on yet another point solution. As a founder, those moments land differently. Already looking forward to next year. Thanks to everyone who made this week worthwhile. Nivathan A. Sri Pangulur Apurva More Srinivas A. Manonmayi V. Janardhan (Janny) Molumuri Pradeep Aswani Sudheer Bandaru Steve Kurup Anand Thangaraju Piyush Sharma Sharad Kumar Frances Ciolek Lenin Gali Bhuvaneswari Subramani Brayden Park Karthik Venna Kishore Gopalakrishna Sreedhar Gade Yuvaraj Venkatesan Havyas H K (and many more that I'm missing) #AWSreInvent #conferences #vegas #founder #AISecurity #APISecurity

Legacy detection tools are divorced from the needs of modern security teams of low-volume, high-signal alerts. 61% of professionals said their top need was more accurate, actionable alerts, explicitly to reduce false positives and noise. Since false positives block legitimate users, degrade user experience, while causing real threats like low-and-slow and business logic attacks to slip through and cause breaches. Why? Because these tools are structurally broken. They rely on brittle regex rules and static signatures, blind to encrypted traffic, blind to undocumented APIs, and unaware of runtime behavior. Lacking context, they miss what matters and overload security teams with what doesn’t. Levo changes that completely: 1. eBPF-powered runtime visibility ensures Levo understands every user, flow, and asset, eliminating false positives.  2. Continuous behavioral monitoring builds and updates baselines automatically, catching subtle anomalies that static rules never would. 3. Pre-production security testing ensures vulnerabilities are caught and fixed early, reducing the volume of production alerts by default. 4. Remediation modules like Vulnerability Management and MCP Server ensure root causes are addressed so the same alert never resurfaces again. Go through the attached creative to understand how Levo’s API Security modules don’t just meet but exceed SOC expectations. #devsecops #detection #api #apisecurity