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Legora appoints marketing and communications directors for APAC and Japan. by Telum Media 18 August 2026 4:32 AM 2 mins read Legal agentic operating system company, Legora, has appointed Marko Zitko (right) as Director, Communications, APJ and Jocelyn Bukal (left) as Marketing Director, APJ, with immediate effect. Based in Sydney, the pair will lead Legora's marketing and communications function across APAC and Japan, following the company's growth across the region. Marko joins after spending the past year consulting enterprise technology companies, following his role as Director of Marketing and Communications at Freelancer.com, where he led brand marketing, communications, and investor relations. He previously spent four years at WE Communications, managing campaigns for clients including Adobe, Sony, and UiPath. Jocelyn brings more than 15 years of B2B technology marketing experience across the APAC region, most recently as Regional Marketing Director APJ at Snyk. Prior to that, she held regional marketing leadership roles at Elastic and Instructure, following earlier positions at Bottomline Technologies, Carnival Corporation, and Symantec. "Legal teams across APJ are moving from evaluating AI to adopting it, and how we show up in each of these markets matters," said Heather Paterson, VP APJ at Legora. "Jocelyn has spent her career building marketing engines for enterprise software companies scaling across this region. Marko has been working with us on our APAC communications for the past ten months, and we've seen firsthand how he builds trust in the market. Together they give us a regional team that matches the opportunity in front of us." Telum Media creating connections. Book a demo

Snyk unveils continuous AI pentesting and agent red teaming. Snyk has announced the general availability of Evo Continuous Offensive Security (COS), enabling security teams to continuously test applications with autonomous, AI-powered pentesting and AI agent red teaming while providing validated proof of what attackers could actually exploit. AI is accelerating software release cycles while rapidly expanding the exposed attack surface, which now spans architectural flaws only reasoning-capable systems can find, credentials leaking out of AI-generated code and the models and agents now embedded directly in the development lifecycle. Attackers are now going after every layer at once: low-priority legacy bugs that were never fixed, new code being written and the applications agents run in production. Snyk's latest research into enterprise AI adoption shows agentic development accelerating faster than security programs can track it. The Five Eyes alliance warned in June that AI will bypass cybersecurity in months, not years, with adversary breakout time now measured in seconds, and Gartner forecasts the window to exploitation will be halved by 2027. Closing that gap requires four key actions: discovering the full attack surface, remediating the backlog, validating what's actually exploitable, and preventing what comes next. The Snyk AI Security Platform expansion delivers on all four: * Discover: the full software and AI attack surface - models, agents, MCP servers, skills, tools and what each can reach, with an upgraded AI-SPM * Remediate: the inherited backlog before autonomous attackers work through it faster than people can respond, with a first look at Snyk's Agentic App Sec * Validate: continuously confirm that fixes hold and surface the architectural and business-logic flaws no scanner reaches, with the general availability of Evo Continuous Offensive Security * Prevent: secrets, malicious packages and new vulnerabilities from rebuilding the backlog as humans and agents write software, with Snyk Secrets, prevention gates and malicious code defense Validate: proving what is actually exploitable with Evo Continuous Offensive Security. Scanners find bugs. Pentesters find flaws. That distinction held for 20 years, and the flaws have always been the more expensive part of the process. Flaws are architectural: to exploit one, you have to understand what the application was designed to do. Manual pentesting has always been the go-to means of uncovering these flaws, but a typical engagement runs 15 days and costs $20,000 to $100,000. What about the other 350 days? Development doesn't stop, and neither do attackers. Evo COS closes that gap: an AI-powered pentesting capability built on an enterprise-grade AI harness that reasons about application intent to uncover the architectural flaws and business-logic vulnerabilities traditional scanners miss. It receives its context from existing Snyk Code, Snyk Open Source and Snyk API & Web findings, so AI Pentesting and Dynamic Testing (DAST), the components that autonomously uncover exploitable vulnerabilities at scale and exhaustively test every endpoint for commodity flaws like XSS and SQLi, direct their effort at what those tools can't catch. Organizations can now see how many AI components they're running, models, agents and the tools they call, but they can't see how an attacker could use those components. Those risks are behavioral and non-deterministic; no signature-based scanner or annual pentest can account for them. That's the gap Agent Red Teaming closes: simulating prompt injection, tool and agent abuse and data exfiltration against running AI agents and LLM-integrated applications, testing continuously as the footprint changes. Other COS solutions have saturated leading benchmarks with a 100% pass rate using pure blackbox, non-SOTA models. Snyk is now building the next generation of AI pentesting benchmarks, modeled on real design partner environments instead of synthetic tests. Discover, remediate, and prevent. Discover: AI Security Posture Management, featuring major enhancements: Upgrades to the AI-SPM model risk taxonomy and scoring engine, plus new skills and MCP server risk analysis surfaced inside the AI-BOM. This provides visibility into what agents are actually touching, and converts raw attack results into a prioritized risk score. Remediate: Evo Agentic AppSec, a first look at what's next: Snyk's vision for autonomous application security, anchored by the public preview of the remediation agent via command line interface (CLI) or agentic development environment (ADE), which fixes vulnerabilities automatically, plus a first look at a new malicious code defense solution, which protects against supply chain attacks. Prevent: Snyk Secrets, now in general availability: A secrets detection and prevention product built for the agentic development lifecycle (ADLC), using a proprietary ML detection engine that reads context around a candidate secret to cut false positives, with prevention gates across AI coding agents, IDEs, PRs and CI/CD. What security teams are already seeing. "Security teams are looking for solutions that help them prioritize real risk, not just manage more alerts. Snyk's Continuous Offensive Security gives teams clearer visibility into exploitable vulnerabilities and how they chain together, enabling them to move faster, reduce exposure and support innovation with confidence," said Colleen Carroll, Senior Director, Information Security Officer, Emburse. "The volume and pace of AI-generated code has fundamentally outpaced the pentesting model most of us have been running for years. We can't schedule our way out of a continuous risk surface. What we need is offensive testing that keeps up with how we actually build software today - with enough context to focus on what's genuinely exploitable, not just what's theoretically possible," said Gabriel Brolo, Staff Security Engineer at Yalo. "Nearly every CISO conversation starts with the same question: how do I prepare for the post-Mythos era, when autonomous AI attacks move from a research breakthrough to a mainstream operating model for attackers? You cannot answer that with another disconnected security tool. Working with some of the world's largest enterprises, we designed Evo as a connected set of defense loops: see the exposure, remediate the backlog, continuously prove what is still exploitable and prevent AI-driven development from rebuilding that backlog faster than teams can reduce it. Continuous Offensive Security is the adversarial proving layer at the center of that system," said Manoj Nair, Chief Technology & Innovation Officer, Snyk. More about

Snyk vs Veracode vs Corgea: comparison table. | Feature | Snyk | Veracode | Corgea | | Primary focus | Developer-first AppSec across dependencies and code | Enterprise application risk management and AppSec testing | AI-native detection and review-ready remediation | | SAST | Yes, through Snyk Code | Yes, mature SAST with broad language support | Yes, AI-native SAST with contextual detection | | SCA | Yes, core strength | Yes, native SCA with policy workflows | Yes, reachability-aware SCA | | DAST | Add-on / partner workflows | Yes, native DAST and API testing | Works alongside existing DAST findings | | IaC scanning | Yes | Yes | Yes | | Container scanning | Yes | Yes | Yes | | Secrets detection | Limited / platform-dependent | Yes, through platform workflows | Yes | | Auto-fix / remediation | Snyk Agent Fix for supported issues | Veracode Fix for supported Pipeline Scan findings | Review-ready fixes as pull requests | | Governance | Enterprise controls available | Strong policy and compliance workflows | Lighter governance, developer workflow first | | Pricing model | Free and paid tiers, enterprise quote | Custom enterprise quote | Free trial, quote-based plans | | Best fit | Engineering-led rollout | Regulated enterprise portfolios | Faster remediation and lower-noise prioritization | When to choose Snyk. Choose Snyk if you need developer-first AppSec coverage with especially strong SCA, container, and IaC workflows. Snyk is a good fit for engineering-led teams that want security checks in IDEs, pull requests, repositories, CLIs, and CI/CD. When to choose Veracode. Choose Veracode if you need enterprise SAST depth, broad language coverage, governance, policy controls, and a unified AppSec platform that security teams can operate across a large portfolio. Veracode is especially compelling for regulated organizations and complex multi-language environments. When to choose Corgea. Choose Corgea if you want lower-noise prioritization and review-ready fixes without waiting on manual patch translation. Corgea works alongside Snyk, Veracode, or whatever scanners you already use. It can also replace parts of the stack for teams that want an AI-native AppSec platform with SAST, SCA, secrets, IaC, containers, and autonomous pentesting. Frequently asked questions. What is the main difference between Snyk and Veracode? Snyk is a developer-first AppSec platform best known for SCA and smooth developer workflow integrations. Veracode is an enterprise AppSec platform best known for mature SAST, policy management, and centralized compliance reporting. The short version of Snyk vs Veracode is developer-first rollout versus enterprise governance depth. Can I use Snyk and Veracode together? Some organizations use different tools for different business units or application types. If you run both, Corgea can sit on top of scanner output and help normalize remediation by generating pull requests from findings. Which is better for SAST: Snyk or Veracode? Veracode is usually stronger if your main requirement is mature enterprise SAST across a broad set of languages, policies, and governance workflows. Snyk is usually stronger if you want SAST embedded into a broader developer-first platform with fast adoption. Validate on your own repositories. What are the best alternatives to Snyk and Veracode? Common alternatives include Corgea, Semgrep, Checkmarx, GitHub Advanced Security, SonarQube, and Fortify. See the best SAST tools guide, Snyk alternatives, and Veracode alternatives. Does Corgea replace Snyk or Veracode? Corgea can replace parts of a scanner stack for teams that want an AI-native AppSec platform, but it does not have to replace Snyk or Veracode. Corgea complements these tools by ingesting their findings and generating review-ready fixes as pull requests. Ready to turn findings into fixes? Corgea integrates with Snyk, Veracode, and other security tools to generate review-ready fixes. Validate the workflow on your own repositories.